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Patrick Riley, Lotzi Boloni
http://www.cs.cmu.edu/~pfr
2021-01-29T20:15:23
Wireless Networking
Privacy-Preserving Learning of Human Activity Predictors in Smart Environments
S. Zehtabian, S. Khodadadeh, L. Bölöni, and D. Turgut]]>
S. Zehtabian, S. Khodadadeh, L. Bölöni, and D. Turgut. Privacy-Preserving Learning of Human Activity Predictors in Smart Environments. In to be presented IEEE International Conference on Computer Communications (INFOCOM-21), July 2021.]]>
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https://arxiv.org/abs/2101.06564
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b2hd-Zehtabian-2021-INFOCOM.htmlZehtabian-2021-INFOCOM.bib
Modeling an intelligent controller for predictive caching in AR/VR-enabled home scenarios
S. Zehtabian, S. Khodadadeh, L. Bölöni, and D. Turgut]]>
S. Zehtabian, S. Khodadadeh, L. Bölöni, and D. Turgut. Modeling an intelligent controller for predictive caching in AR/VR-enabled home scenarios. Pervasive and Mobile Computing (PMC), pp. 101334, February 2021.]]>
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http://www.eecs.ucf.edu/~turgut/Research/Publications/Download/Zehtabian-2021-PMC.pdf
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b2hd-Zehtabian-2021-PMC.htmlZehtabian-2021-PMC.bib
IoT Augmented Physical Scale Model of a Suburban Home
S. Zehtabian, S. S. Bacanli, M. Razghandi, L. Bölöni, and D. Turgut]]>
S. Zehtabian, S. S. Bacanli, M. Razghandi, L. Bölöni, and D. Turgut. IoT Augmented Physical Scale Model of a Suburban Home. In Proc. of the Workshop on Convergent IoT at ICC-2020, pp. 1–5, June 2020.]]>
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b2hd-Burns-2020-ICC-CIoT.htmlBurns-2020-ICC-CIoT.bib
IoT-Enabled Smart Mobility Devices for Aging and Rehabilitation
S. Zehtabian, S. S. Bacanli, L. Bölöni, and D. Turgut]]>
S. Zehtabian, S. S. Bacanli, L. Bölöni, and D. Turgut. IoT-Enabled Smart Mobility Devices for Aging and Rehabilitation. In Proc. of IEEE International Conference on Communications (ICC-2020), pp. 1–6, June 2020.]]>
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http://www.cs.ucf.edu/~turgut/Research/Publications/Download/Mostofa-2020-ICC.pdf
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b2hd-Mostofa-2020-ICC.htmlMostofa-2020-ICC.bib
Predictive Caching for AR/VR Experiences in a Household Scenario
S. Zehtabian, M. Razgandi, L. Bölöni, and D. Turgut]]>
S. Zehtabian, M. Razgandi, L. Bölöni, and D. Turgut. Predictive Caching for AR/VR Experiences in a Household Scenario. In Proc. of Int'l Conf. on Computing, Networking and Communications (ICNC-2020), pp. 591–595, February 2020.]]>
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Predicting the temperature dynamics of scaled model and real-world IoT-enabled smart homes
S. Zehtabian, S.S. Bacanli, L. Bölöni, and D. Turgut]]>
S. Zehtabian, S.S. Bacanli, L. Bölöni, and D. Turgut. Predicting the temperature dynamics of scaled model and real-world IoT-enabled smart homes. In Proc of. IEEE Global Communications Conference (Globecom-2019), pp. 1–6, December 2019.]]>
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http://www.eecs.ucf.edu/~turgut/Research/Publications/Download/Ling-2019-GLOBECOM.pdf
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b2hd-Ling-2019-GLOBECOM.htmlLing-2019-GLOBECOM.bib
Path Finding for Maximum the Value of Sensed Information in Multi-modal Underwater Wireless Sensor Networks
P. Gjanci, C. Petrioli, S. Basagni, C.A. Phillips, L. Bölöni, and D. Turgut]]>
P. Gjanci, C. Petrioli, S. Basagni, C.A. Phillips, L. Bölöni, and D. Turgut. Path Finding for Maximum the Value of Sensed Information in Multi-modal Underwater Wireless Sensor Networks. IEEE Transactions on Mobile Computing, 17:404–418, February 2018.]]>
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https://doi.org/10.1109/TMC.2017.2706689
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b2hd-Gjanci-2018-TMC.htmlGjanci-2018-TMC.bib
Value of Information based Data Retrieval in UWSNs
D. Turgut, and L. Bölöni]]>
D. Turgut, and L. Bölöni. Value of Information based Data Retrieval in UWSNs. Sensors, October 2018.]]>
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http://www.eecs.ucf.edu/~turgut/Research/Publications/Download/FKhan-2018-Sensors.pdf
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b2hd-FKhan-2018-Sensors.htmlFKhan-2018-Sensors.bib
Investigating the Value of Privacy within the Internet of Things
Prof. of IEEE Global Communications Conference (Globecom 2017), December 2017.]]>
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https://ieeexplore.ieee.org/abstract/document/8253958/
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b2hd-Mayle-2017-GLOBECOM.htmlMayle-2017-GLOBECOM.bib
A Sequence Learning Model with Recurrent Neural Networks for Taxi Demand Prediction
Proc. of IEEE Local Computer Networks (LCN 2017), October 2017.]]>
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https://ieeexplore.ieee.org/document/8109365/
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b2hd-Xu-2017-LCN.htmlXu-2017-LCN.bib
Bridge protection algorithms - a technique for fault-tolerance in sensor networks
D. Turgut, and L. Bölöni]]>
D. Turgut, and L. Bölöni. Bridge protection algorithms - a technique for fault-tolerance in sensor networks. Ad Hoc Networks, 24:186–199, January 2015.]]>
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b2hd-SAKhan-2015-AdHoc.htmlSAKhan-2015-AdHoc.bib
Scheduling Multiple Mobile Sinks in Underwater Sensor Networks
D. Turgut, and L. Bölöni]]>
D. Turgut, and L. Bölöni. Scheduling Multiple Mobile Sinks in Underwater Sensor Networks. In Proceedings of IEEE LCN'15, pp. 358–365, October 2015.]]>
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http://www.eecs.ucf.edu/~turgut/Research/Publications/Download/Khan-2015-LCN.pdf
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b2hd-Khan-2015-LCN.htmlKhan-2015-LCN.bib
Circular update directional virtual coordinate routing protocol in sensor networks
R. Rahmatizadeh, S. Khan, A.P. Jayasumana, D. Turgut, and L. Bölöni]]>
R. Rahmatizadeh, S. Khan, A.P. Jayasumana, D. Turgut, and L. Bölöni. Circular update directional virtual coordinate routing protocol in sensor networks. In IEEE GLOBECOM'15, pp. 1–6, December 2015.]]>
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http://www.eecs.ucf.edu/~turgut/Research/Publications/Download/Rahmatizadeh-2015-GLOBECOM.pdf
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b2hd-Rahmatizadeh-2015-GLOBECOM.htmlRahmatizadeh-2015-GLOBECOM.bib
Animal Monitoring with Unmanned Aerial Vehicle-Aided Wireless Sensor Networks
R. Rahmatizadeh, D. Turgut, and L. Bölöni]]>
R. Rahmatizadeh, D. Turgut, and L. Bölöni. Animal Monitoring with Unmanned Aerial Vehicle-Aided Wireless Sensor Networks. In Proc. of the 40th IEEE Conf. on Local Computer Networks (LCN-2015), pp. 334–341, October 2015.]]>
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http://www.eecs.ucf.edu/~turgut/Research/Publications/Download/Xu-2015-LCN.pdf
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Maximizing the Value of Sensed Information in Underwater Wireless Sensor Networks via an Autonomous Underwater Vehicle
S. Basagni, L. Bölöni, P. Gjanci, C. Petrioli, C.A. Phillips, and D. Turgut]]>
S. Basagni, L. Bölöni, P. Gjanci, C. Petrioli, C.A. Phillips, and D. Turgut. Maximizing the Value of Sensed Information in Underwater Wireless Sensor Networks via an Autonomous Underwater Vehicle. In Proc. IEEE Int'l Conf. on Computer Communications (InfoCom-2014), pp. 988–996, 2014.]]>
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b2hd-Basagni-2014-Infocom.htmlBasagni-2014-Infocom.bib
Greedy Path Planning for Maximizing Value of Information in Underwater Sensor Networks
D. Turgut, and L. Bölöni]]>
D. Turgut, and L. Bölöni. Greedy Path Planning for Maximizing Value of Information in Underwater Sensor Networks. In Proc. the 10th IEEE International Workshop on Performance and Management of Wireless and Mobile Networks (P2MNET-2014), September 2014.]]>
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Routing towards a mobile sink using virtual coordinates in a wireless sensor network
R. Rahmatizadeh, S.A. Khan, A.P. Jayasumana, D. Turgut, and L. Bölöni]]>
R. Rahmatizadeh, S.A. Khan, A.P. Jayasumana, D. Turgut, and L. Bölöni. Routing towards a mobile sink using virtual coordinates in a wireless sensor network. In Proc. IEEE Int'l Conference on Communications (ICC 2014), pp. 12–17, June 2014.]]>
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b2hd-Rahmatizadeh-2014-ICC.htmlRahmatizadeh-2014-ICC.bib
Scheduling Data Transmissions of Underwater Sensor Nodes for Maximizing Value of Information
L. Bölöni, D. Turgut, S. Basagni, and C. Petrioli]]>
L. Bölöni, D. Turgut, S. Basagni, and C. Petrioli. Scheduling Data Transmissions of Underwater Sensor Nodes for Maximizing Value of Information. In Proc. of IEEE Globecom 2013, pp. 460–465, 2013.]]>
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b2hd-Boloni-2013-Globecom.htmlBoloni-2013-Globecom.bib
Distributed Decision Making in Cognitive Radio Networks Through Argumentation
L. Bölöni, and D. Turgut]]>
L. Bölöni, and D. Turgut. Distributed Decision Making in Cognitive Radio Networks Through Argumentation. In Proceedings of IEEE GLOBECOM'13, pp. 1231–1236, December 2013.]]>
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http://www.eecs.ucf.edu/~turgut/Research/Publications/Download/Horine-2013-GLOBECOM.pdf
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b2hd-Horine-2013-GLOBECOM.htmlHorine-2013-GLOBECOM.bib
IVE: improving the value of information in energy-constrained intruder tracking sensor networks
D. Turgut and L. Bölöni]]>
D. Turgut and L. Bölöni. IVE: improving the value of information in energy-constrained intruder tracking sensor networks. In IEEE Int. Conf. on Comunications (ICC-2013), pp. 6360–6364, 2013. Best Paper Award]]>
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http://www.eecs.ucf.edu/~lboloni/Publications/Download/Turgut-2013-ICC-IVE.pdf
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b2hd-Turgut-2013-ICC-IVE.htmlTurgut-2013-ICC-IVE.bib
Argumentation Based Negotiation in Cognitive Radio Networks
L. Bölöni, and D. Turgut]]>
L. Bölöni, and D. Turgut. Argumentation Based Negotiation in Cognitive Radio Networks. In 12th IEEE International Workshop on Wireless Local Networks, pp. 782–789, 2012.]]>
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b2hd-Horine-2012-WLN.htmlHorine-2012-WLN.bib
A pragmatic value-of-information approach for intruder tracking sensor networks
D. Turgut and L. Bölöni]]>
D. Turgut and L. Bölöni. A pragmatic value-of-information approach for intruder tracking sensor networks. In Proc. of IEEE Int. Conf. on Communications (ICC-2012), pp. 4931–4936, June 2012.]]>
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http://www.eecs.ucf.edu/~lboloni/Publications/Download/Turgut-2012-ICC.pdf
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b2hd-Turgut-2012-ICC.htmlTurgut-2012-ICC.bib
Routing protocols in ad hoc networks: a survey
B. Turgut, N. Aydin, M.Z. Ahmad, L. Bölöni, and D. Turgut]]>
B. Turgut, N. Aydin, M.Z. Ahmad, L. Bölöni, and D. Turgut. Routing protocols in ad hoc networks: a survey. Computer Networks, 55(13):3032–3080, September 2011.]]>
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http://www.eecs.ucf.edu/~lboloni/Publications/Download/Boukerche-2011-ComputerNetworks.pdf
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b2hd-Boukerche-2011-ComputerNetworks.htmlBoukerche-2011-ComputerNetworks.bib
Protecting bridges: reorganizing sensor networks after catastrophic events
L. Bölöni and D. Turgut]]>
L. Bölöni and D. Turgut. Protecting bridges: reorganizing sensor networks after catastrophic events. In Proc. of the 7th International Wireless Communications and Mobile Computing Conference (IWCMC-2011), pp. 2028–2033, July 2011.]]>
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http://www.eecs.ucf.edu/~lboloni/Publications/Download/Boloni-2011-FedSens.pdf
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b2hd-Boloni-2011-FedSens.htmlBoloni-2011-FedSens.bib
Heuristic approaches for transmission scheduling in sensor networks with multiple mobile sinks
D. Turgut and L. Bölöni]]>
D. Turgut and L. Bölöni. Heuristic approaches for transmission scheduling in sensor networks with multiple mobile sinks. The Computer Journal, 54(3):332–344, Oxford University Press, March 2011.]]>
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Active time scheduling for rechargeable sensor networks
L. Bölöni, and D. Turgut]]>
L. Bölöni, and D. Turgut. Active time scheduling for rechargeable sensor networks. Computer Networks (Elsevier), 54(4):631–640, March 2010.]]>
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http://www.eecs.ucf.edu/~lboloni/Publications/Download/Pryyma-2010-ComNet.pdf
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b2hd-Pryyma-2010-ComNet.htmlPryyma-2010-ComNet.bib
Stealthy dissemination in intruder tracking sensor networks
D. Turgut, B. Turgut, and L. Bölöni]]>
D. Turgut, B. Turgut, and L. Bölöni. Stealthy dissemination in intruder tracking sensor networks. In Proceedings of IEEE Local Computer Networks (LCN 2009), pp. 22–29, October 2009.]]>
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http://www.eecs.ucf.edu/~lboloni/Publications/Download/Turgut-2009-LCN.pdf
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Time-parallel simulation of wireless ad hoc networks with compressed history
L. Bölöni, D. Turgut, and D. Marinescu]]>
L. Bölöni, D. Turgut, and D. Marinescu. Time-parallel simulation of wireless ad hoc networks with compressed history. Journal of Parallel and Distributed Computing (JPDC), 69(2):168–179, February 2009.]]>
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http://www.eecs.ucf.edu/~lboloni/Publications/Download/Wang-2009-JPDC.pdf
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Time-parallel simulation of wireless ad hoc networks
D. Turgut, L. Bölöni, and D.C. Marinescu]]>
D. Turgut, L. Bölöni, and D.C. Marinescu. Time-parallel simulation of wireless ad hoc networks. ACM/Springer Journal of Wireless Networks (WINET), 15(4):463–480, 2009.]]>
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http://www.eecs.ucf.edu/~lboloni/Publications/Download/Wang-2007-WINET.pdf
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Should I send now or send later? A decision-theoretic approach to transmission scheduling in sensor networks with mobile sinks
L. Bölöni and D. Turgut]]>
L. Bölöni and D. Turgut. Should I send now or send later? A decision-theoretic approach to transmission scheduling in sensor networks with mobile sinks. Wireless Communications and Mobile Computing Journal (WCMC), 8(3):385–403, 2008.]]>
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http://www.eecs.ucf.edu/~lboloni/Publications/Download/Boloni-2008-WCMC.pdf
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b2hd-Boloni-2008-WCMC.htmlBoloni-2008-WCMC.bib
Uniform Sensing Protocol for Autonomous Rechargeable Sensor Networks
L. Bölöni, and D. Turgut]]>
L. Bölöni, and D. Turgut. Uniform Sensing Protocol for Autonomous Rechargeable Sensor Networks. In Proceedings of the 11th ACM/IEEE International Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM'08), pp. 92–99, October 2008.]]>
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http://www.eecs.ucf.edu/~turgut/Research/Publications/Download/Pryyma-2008-MSWiM.pdf
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b2hd-Pryyma-2008-MSWiM.htmlPryyma-2008-MSWiM.bib
Three heuristics for transmission scheduling in sensor networkswith multiple mobile sinks
D. Turgut and L. Bölöni]]>
D. Turgut and L. Bölöni. Three heuristics for transmission scheduling in sensor networkswith multiple mobile sinks. In Proceedings of InternationalWorkshop on Agent Technology for Sensor Networks (ATSN-08), in conjunctionwith the Seventh Joint Conference on Autonomous and Multi-Agent Systems(AAMAS 2008) , pp. 1–8, May 2008.]]>
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http://www.eecs.ucf.edu/~lboloni/Publications/Download/Turgut-2008-ATSN.pdf
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b2hd-Turgut-2008-ATSN.htmlTurgut-2008-ATSN.bib
Improving Routing Performance Through m-Limited Forwarding in Power-Constrained Wireless Networks
D. Turgut, L. Bölöni, Y. Ji, and D. Marinescu]]>
D. Turgut, L. Bölöni, Y. Ji, and D. Marinescu. Improving Routing Performance Through m-Limited Forwarding in Power-Constrained Wireless Networks. Journal of Parallel and Distributed Computing (JPDC), 68:501–514, 2008.]]>
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http://www.eecs.ucf.edu/~lboloni/Publications/Download/Wang-2008-JPDC.pdf
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b2hd-Wang-2008-JPDC.htmlWang-2008-JPDC.bib
A MAC layer protocol for wireless networks with asymmetric links
D. Turgut, L. Bölöni, Y. Ji, and D.C. Marinescu]]>
D. Turgut, L. Bölöni, Y. Ji, and D.C. Marinescu. A MAC layer protocol for wireless networks with asymmetric links. Ad Hoc Networks, 6(3):424–440, May 2008.]]>
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http://dx.doi.org/10.1016/j.adhoc.2007.03.004
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Time-parallel simulation with compressed history
L. Bölöni, D. Turgut, and D. C. Marinescu]]>
L. Bölöni, D. Turgut, and D. C. Marinescu. Time-parallel simulation with compressed history. In Proceedings of the Third International Conference on Wireless and Mobile Communications (ICWMC), 2007.]]>
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Challenges and Benefits of Time-Parallel Simulation of Wireless Ad Hoc Networks
L. Bölöni, D. Turgut, G. Wang, and D.C. Marinescu]]>
L. Bölöni, D. Turgut, G. Wang, and D.C. Marinescu. Challenges and Benefits of Time-Parallel Simulation of Wireless Ad Hoc Networks. In Proceedings of First International Conference on Performance Evaluation Methodologies and Tools (Valuetools-2006), October 2006.]]>
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http://www.eecs.ucf.edu/~lboloni/Publications/Download/Boloni-2006-VALUETOOLS.pdf
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b2hd-Boloni-2006-VALUETOOLS.htmlBoloni-2006-VALUETOOLS.bib
Energy-Efficient Dissemination in Sensor Networks: Reactive Event Flow Shaping
D. Turgut, O. Ozyer, K. Hua, and L. Bölöni]]>
D. Turgut, O. Ozyer, K. Hua, and L. Bölöni. Energy-Efficient Dissemination in Sensor Networks: Reactive Event Flow Shaping. In Proceedings of the International Conference on Wireless Networks (ICWN-2006), June 2006.]]>
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http://www.cs.ucf.edu/~lboloni/Publications/Download/Turgut-2006-ICWN.pdf
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Speedup-Precision Tradeoffs in Time-Parallel Simulation ofWireless Ad hoc Networks
D. Turgut, G. Wang, L. Bölöni, and D.C. Marinescu]]>
D. Turgut, G. Wang, L. Bölöni, and D.C. Marinescu. Speedup-Precision Tradeoffs in Time-Parallel Simulation ofWireless Ad hoc Networks. In Proceedings of Tenth IEEEInternational Symposium on Distributed Simulation and Real Time Applications(DS-RT), pp. 265–268, October 2006.]]>
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http://www.eecs.ucf.edu/~lboloni/Publications/Download/Turgut-2006-DSRT.pdf
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A simulation study of a MAC layer protocol for wireless networks with asymmetric links
D. Turgut, L. Bölöni, Y. Ji, and D.C. Marinescu]]>
D. Turgut, L. Bölöni, Y. Ji, and D.C. Marinescu. A simulation study of a MAC layer protocol for wireless networks with asymmetric links. In Proceedings of the IEEE International Wireless Communications and Mobile Computing Conference (IWCMC'06), pp. 929–936, July 2006.]]>
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http://www.cs.ucf.edu/~lboloni/Publications/Download/Wang-2006-IWCMC.pdf
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Accuracy-Speedup Tradeoffs for a Time-Parallel Simulation ofWireless Ad hoc Networks
D. Turgut, L. Bölöni, and D.C. Marinescu]]>
D. Turgut, L. Bölöni, and D.C. Marinescu. Accuracy-Speedup Tradeoffs for a Time-Parallel Simulation ofWireless Ad hoc Networks. In Proceedings of Second IEEE International Workshop on Performance and Management of Wireless and Mobile Networks (P2MNet), pp. 730–737, November 2006.]]>
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http://www.cs.ucf.edu/~turgut/Research/Publications/Download/Wang-2006-P2MNet.pdf
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b2hd-Wang-2006-P2MNet.htmlWang-2006-P2MNet.bib
Location- and Power-Aware Protocols for Wireless Networks withAsymmetric Links
D.C. Marinescu, D. Turgut, and L. Bölöni]]>
D.C. Marinescu, D. Turgut, and L. Bölöni. Location- and Power-Aware Protocols for Wireless Networks withAsymmetric Links. In E. Gelenbe, editors, Computer System Performance Modeling in Perspective: A Tribute to the Work of Prof. Kenneth C. Sevcik (Advances in Computer Science and Engineering: Texts), Imperial College Press, 2006.]]>
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A Cluster-based Energy Balancing Scheme in Heterogeneous Wireless Sensor Networks
D. Turgut, and L. Bölöni]]>
D. Turgut, and L. Bölöni. A Cluster-based Energy Balancing Scheme in Heterogeneous Wireless Sensor Networks. In Proceedings of the 4th International Conference on Networking ICN'05, pp. 467–474, April 2005.]]>
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http://www.cs.ucf.edu/~lboloni/Publications/Download/Ai-2005-ICN.pdf
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b2hd-Ai-2005-ICN.htmlAi-2005-ICN.bib
YAES - a modular simulator for mobile networks
L. Bölöni and D. Turgut]]>
L. Bölöni and D. Turgut. YAES - a modular simulator for mobile networks. In Proc. of the 8-th ACM/IEEE International Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWIM 2005), pp. 169–173, October 2005.]]>
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http://www.cs.ucf.edu/~lboloni/Publications/Download/Boloni-2005-MSWiM.pdf
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Ad Hoc Grids: Communication and Computing in a Power Constrained Environment
D.C. Marinescu, G.M. Marinescu, Y. Ji, L. Bölöni, and H.J. Siegel]]>
D.C. Marinescu, G.M. Marinescu, Y. Ji, L. Bölöni, and H.J. Siegel. Ad Hoc Grids: Communication and Computing in a Power Constrained Environment. In Proceedings of the 22nd IEEE International Performance, Computing and Communications Conference, pp. 113–122, April 2003.]]>
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Autonomous Agents
Automatic Object Recoloring Using Adversarial Learning
S. Khodadadeh, Saeid Motiian, Zhe Lin, L. Bölöni, and S. Ghadar]]>
S. Khodadadeh, Saeid Motiian, Zhe Lin, L. Bölöni, and S. Ghadar. Automatic Object Recoloring Using Adversarial Learning. In IEEE Workshop on Applications of Computer Vision (WACV-2021), pp. 1488–1496, January 2021.]]>
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Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models
S. Khodadadeh, S. Zehtabian, S. Vahidian, W. Wang, B. Lin, and L. Bölöni ]]>
S. Khodadadeh, S. Zehtabian, S. Vahidian, W. Wang, B. Lin, and L. Bölöni . Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models. In to be presented at the International Conference on Learning Representations (ICLR-2021), July 2021.]]>
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Accept Synthetic Objects as Real: End-to-End Training of Attentive Deep Visuomotor Policies for Manipulation in Clutter
P. Abolghasemi and L. Bölöni]]>
P. Abolghasemi and L. Bölöni. Accept Synthetic Objects as Real: End-to-End Training of Attentive Deep Visuomotor Policies for Manipulation in Clutter. In Proc. of International Conference on Robotics and Automation (ICRA-2020), pp. 6506–6512, May 2020.]]>
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https://arxiv.org/abs/1909.11128
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Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models
S. Khodadadeh, S. Zehtabian, S. Vahidian, Weijia Wang, Bill Lin, and L. Bölöni]]>
S. Khodadadeh, S. Zehtabian, S. Vahidian, Weijia Wang, Bill Lin, and L. Bölöni. Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models. arXiv preprint arXiv:2006.10236, 2020.]]>
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b2hd-Khodadadeh-2020-LASIUM.htmlKhodadadeh-2020-LASIUM.bib
Interaction and Behaviour Evaluation for Smart Homes: Data Collection and Analytics in the ScaledHome Project
Siavash Khodadadeh, Salih Safa Bacanl\i, Sharare Zehtabian, Hassam Ullah Sheikh, Ladislau Bölöni, Damla Turgut, and Paolo Bellavista]]>
Siavash Khodadadeh, Salih Safa Bacanl\i, Sharare Zehtabian, Hassam Ullah Sheikh, Ladislau Bölöni, Damla Turgut, and Paolo Bellavista. Interaction and Behaviour Evaluation for Smart Homes: Data Collection and Analytics in the ScaledHome Project. In to be presented at the 23rd International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWIM-2020), November 2020.]]>
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Multi-Agent Reinforcement Learning for Problems with Combined Individual and Team Reward
H. U. Sheikh and L. Bölöni]]>
H. U. Sheikh and L. Bölöni. Multi-Agent Reinforcement Learning for Problems with Combined Individual and Team Reward. In Proc. of 2020 International Joint Conference on Neural Networks (IJCNN-2020), July 2020.]]>
pdf
https://arxiv.org/abs/2003.10598
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Reducing Overestimation Bias by Increasing Representation Dissimilarity in Ensemble Based Deep Q-Learning
H. U. Sheikh and L. Bölöni]]>
H. U. Sheikh and L. Bölöni. Reducing Overestimation Bias by Increasing Representation Dissimilarity in Ensemble Based Deep Q-Learning. arXiv preprint arXiv:2006.13823, 2020.]]>
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b2hd-Sheikh-2020-Dissimilarity.htmlSheikh-2020-Dissimilarity.bib
Preventing Value Function Collapse in Ensemble Q-Learning by Maximizing Representation Diversity
H. U. Sheikh and L. Bölöni]]>
H. U. Sheikh and L. Bölöni. Preventing Value Function Collapse in Ensemble Q-Learning by Maximizing Representation Diversity. In Proc. of Deep Reinforcement Learning Workshop at NeurIPS 2020, December 2020.]]>
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b2hd-Sheikh-2020-DRL-Workshop.htmlSheikh-2020-DRL-Workshop.bib
Improving AR/VR experiences with deep learning
S. Zehtabian, S. Khodadadeh, L. Bölöni, and D. Turgut]]>
S. Zehtabian, S. Khodadadeh, L. Bölöni, and D. Turgut. Improving AR/VR experiences with deep learning. In Proc. of 1st Annual Nelms Workshop on Women in IoT (WiT-2020), October 2020.]]>
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An Automated Virtual Receptionist for Recognizing Visitors and Assuring Mask Wearing
S. Zehtabian, S. Khodadadeh, K. Kim, G. Bruder, G. F. Welch, L. Bölöni, and D. Turgut]]>
S. Zehtabian, S. Khodadadeh, K. Kim, G. Bruder, G. F. Welch, L. Bölöni, and D. Turgut. An Automated Virtual Receptionist for Recognizing Visitors and Assuring Mask Wearing. In International Conference on Artificial Reality and Telexistence / Eurographics Symposium on Virtual Environmnents (ICAT-EGVE-2020), December 2020.]]>
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Pay attention!-Robustifying a Deep Visuomotor Policy through Task-Focused Attention
P. Abolghasemi, A. Mazaheri, M. Shah, and L. Bölöni]]>
P. Abolghasemi, A. Mazaheri, M. Shah, and L. Bölöni. Pay attention!-Robustifying a Deep Visuomotor Policy through Task-Focused Attention. In Proc. of Conference on Computer Vision and Pattern Recognition (CVPR-2019), pp. 4254–4262, 2019.]]>
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http://openaccess.thecvf.com/content_CVPR_2019/html/Abolghasemi_Pay_Attention_-_Robustifying_a_Deep_Visuomotor_Policy_Through_Task-Focused_CVPR_2019_paper.html
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Smart Walker for the Visually Impaired
S. Zehtabian, S. Khodadadeh, L. Bölöni, and D. Turgut]]>
S. Zehtabian, S. Khodadadeh, L. Bölöni, and D. Turgut. Smart Walker for the Visually Impaired. In Proc. of IEEE International Conference on Communications (ICC-2019), pp. 1–6, May 2019.]]>
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Detecting unsafe use of a four-legged walker using IoT and deep learning
S. Khodadadeh, S. Zehtabian, J. Guilbe, R. Pearlman, B. Willenberg, B. Kim, E. A. Ross, L. Bölöni, and D. Turgut]]>
S. Khodadadeh, S. Zehtabian, J. Guilbe, R. Pearlman, B. Willenberg, B. Kim, E. A. Ross, L. Bölöni, and D. Turgut. Detecting unsafe use of a four-legged walker using IoT and deep learning. In Proc. of IEEE International Conference on Communications (ICC-2019), May 2019.]]>
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Unsupervised Meta-Learning For Few-Shot Image Classification
S. Khodadadeh, L. Bölöni, and M. Shah]]>
S. Khodadadeh, L. Bölöni, and M. Shah. Unsupervised Meta-Learning For Few-Shot Image Classification. In Proc. of Thirty-third Conference on Neural Information Processing Systems (NeurIPS-2019), pp. 10132–10142, December 2019.]]>
pdf
https://arxiv.org/pdf/1811.11819
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Emergence of Scenario-Appropriate Collaborative Behaviors for Teams of Robotic Bodyguards
H. Sheikh and L. Bölöni]]>
H. Sheikh and L. Bölöni. Emergence of Scenario-Appropriate Collaborative Behaviors for Teams of Robotic Bodyguards. In Proc. of Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS-2019), pp. 2189–2191, Jun 2019.]]>
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Learning Distributed Cooperative Policies For Security Games via Deep Reinforcement Learning
H. Sheikh, M. Razghandi, and L. Bölöni]]>
H. Sheikh, M. Razghandi, and L. Bölöni. Learning Distributed Cooperative Policies For Security Games via Deep Reinforcement Learning. In Proc. of Conference on Computers, Software and Applications (COMPSAC-2019), pp. 489–494, July 2019.]]>
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Towards a computational model of social norms
L. Bölöni, T. S. Bhatia, S. A. Khan, J. Streater, and S. M. Fiore]]>
L. Bölöni, T. S. Bhatia, S. A. Khan, J. Streater, and S. M. Fiore. Towards a computational model of social norms. PLOS ONE, 13(4):e0195331, 2018.]]>
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https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0195331
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Vision-Based Multi-Task Manipulation for Inexpensive Robots Using End-To-End Learning from Demonstration
R. Rahmatizadeh, P. Abolghasemi, L. Bölöni, and S. Levine]]>
R. Rahmatizadeh, P. Abolghasemi, L. Bölöni, and S. Levine. Vision-Based Multi-Task Manipulation for Inexpensive Robots Using End-To-End Learning from Demonstration. In Proc. of International Conference on Robotics and Automation (ICRA-2018), pp. 3758 – 3765, May 2018.]]>
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https://arxiv.org/abs/1707.02920
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Learning real manipulation tasks from virtual demonstrations using LSTM and MDN
R. Rahmatizadeh, P. Abolghasemi, A. Behal, and L. Bölöni]]>
R. Rahmatizadeh, P. Abolghasemi, A. Behal, and L. Bölöni. Learning real manipulation tasks from virtual demonstrations using LSTM and MDN. In Proc. of Thirty-Second AAAI Conf. on Artificial Intelligence (AAAI-2018), February 2018.]]>
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https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16194
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Designing a Multi-Objective Reward Function for Creating Teams of Robotic Bodyguards Using Deep Reinforcement Learning
H. U. Sheikh and L. Bölöni]]>
H. U. Sheikh and L. Bölöni. Designing a Multi-Objective Reward Function for Creating Teams of Robotic Bodyguards Using Deep Reinforcement Learning. In Prof. of 1st Workshop on Goal Specifications for Reinforcement Learning (GoalsRL-2018) at IJCAI 2018, July 2018.]]>
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The Emergence of Complex Bodyguard Behavior Through Multi-Agent Reinforcement Learning
H. U. Sheikh and L. Bölöni]]>
H. U. Sheikh and L. Bölöni. The Emergence of Complex Bodyguard Behavior Through Multi-Agent Reinforcement Learning. In Proc. of Autonomy in Teams (AIT-2018) workshop at IJCAI-2018, July 2018.]]>
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b2hd-Sheikh-2018-AIT.htmlSheikh-2018-AIT.bib
Real-time Prediction of Taxi Demand Using Recurrent Neural Networks
R. Rahmatizadeh, L. Bölöni, and D. Turgut]]>
R. Rahmatizadeh, L. Bölöni, and D. Turgut. Real-time Prediction of Taxi Demand Using Recurrent Neural Networks. IEEE Transactions on Intelligent Transportation Systems, 19:2572–2581, August 2018.]]>
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http://ieeexplore.ieee.org/abstract/document/8082792/
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b2hd-Xu-2018-TransITS.htmlXu-2018-TransITS.bib
Taxi Dispatch Planning via Demand and Destination Modeling
R. Rahmatizadeh, L. Bölöni, and D. Turgut]]>
R. Rahmatizadeh, L. Bölöni, and D. Turgut. Taxi Dispatch Planning via Demand and Destination Modeling. In Proc. of 43nd IEEE Conference on Local Computer Networks (LCN-2018), October 2018.]]>
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Providing Distribution Estimation for Animal Tracking with Unmanned Aerial Vehicles
R. Rahmatizadeh, L. Bölöni, and D. Turgut]]>
R. Rahmatizadeh, L. Bölöni, and D. Turgut. Providing Distribution Estimation for Animal Tracking with Unmanned Aerial Vehicles. In Proc of IEEE Global Communications Conference (GLOBECOM-18), pp. 1–6, December 2018.]]>
pdf
https://doi.org/10.1109/GLOCOM.2018.8647784
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Supporting rehabilitation prescription compliance with an IoT-augmented four-legged walker
S. Zehtabian, S. Khodadadeh, R. Pearlman, B. Willenberg, B. Kim, D. Turgut, L. Bölöni, and E. A. Ross]]>
S. Zehtabian, S. Khodadadeh, R. Pearlman, B. Willenberg, B. Kim, D. Turgut, L. Bölöni, and E. A. Ross. Supporting rehabilitation prescription compliance with an IoT-augmented four-legged walker. In Proc. of 2nd Workshop on AI for Aging, Rehabilitation and Independent Assisted Living (ARIAL-2018) at IJCAI-2018, July 2018.]]>
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A real-time technique for positioning a wheelchair-mounted robotic arm for household manipulation tasks
P. Abolghasemi, R. Rahmatizadeh, A. Behal, and L. Bölöni]]>
P. Abolghasemi, R. Rahmatizadeh, A. Behal, and L. Bölöni. A real-time technique for positioning a wheelchair-mounted robotic arm for household manipulation tasks. In Workshop on Artificial Intelligence Applied to Assistive Technologies and Smart Environments (ATSE-16) at AAAI-2016, February 2016.]]>
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http://www.eecs.ucf.edu/~lboloni/Publications/Download/Abolghasemi-2016-ATSE.pdf
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Controlling the movement of robotic bodyguards for maximal physical protection
T.S. Bhatia, G. Solmaz, D. Turgut, and L. Bölöni]]>
T.S. Bhatia, G. Solmaz, D. Turgut, and L. Bölöni. Controlling the movement of robotic bodyguards for maximal physical protection. In Proc of the 29th International FLAIRS Conference, pp. 380–385, May 2016.]]>
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http://www.eecs.ucf.edu/~lboloni/Publications/Download/TSBhatia-2016-FLAIRS.pdf
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Reducing Side-Sweep Accidents with Vehicle-to-Vehicle Communication
L. Bölöni]]>
L. Bölöni. Reducing Side-Sweep Accidents with Vehicle-to-Vehicle Communication. Journal of Sensor and Actuator Networks, 5(4), MDPI, 2016.]]>
pdf
http://www.mdpi.com/2224-2708/5/4/19/pdf
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b2hd-Bulumelle-2016-JSAN.htmlBulumelle-2016-JSAN.bib
A Study of the Automobile Blind-Spots' Spatial Dimensions and Angle of Orientation on Side-Sweep Accidents
L. Bölöni]]>
L. Bölöni. A Study of the Automobile Blind-Spots' Spatial Dimensions and Angle of Orientation on Side-Sweep Accidents. In Symposium on Theory of Modeling and Simulation: DEVS Integrative MS Symposium (TMS/DEVS-16), pp. 18:1–18:6, April 2016.]]>
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http://dl.acm.org/citation.cfm?id=2975389.2975407
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b2hd-Bulumulle-2016-DEVS.htmlBulumulle-2016-DEVS.bib
Optimizing Resurfacing Schedules to Maximize Value of Information in UWSNs
D. Turgut, and L. Bölöni]]>
D. Turgut, and L. Bölöni. Optimizing Resurfacing Schedules to Maximize Value of Information in UWSNs. In Proc of. IEEE Global Communications Conference (GLOBECOM 2016), December 2016.]]>
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b2hd-FAKhan-2016-Globecom.htmlFAKhan-2016-Globecom.bib
Trajectory adaptation of robot arms for head-pose dependent assistive tasks
R. Rahmatizadeh, P. Abolghasemi, A. Jabalameli, A. Behal, and L. Bölöni]]>
R. Rahmatizadeh, P. Abolghasemi, A. Jabalameli, A. Behal, and L. Bölöni. Trajectory adaptation of robot arms for head-pose dependent assistive tasks. In Proc. of the 29th International FLAIRS Conference, pp. 410–413, May 2016.]]>
pdf
http://www.eecs.ucf.edu/~lboloni/Publications/Download/Rahmatizadeh-2016-FLAIRS.pdf
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Real-time placement of a wheelchair-mounted robotic arm
R. Rahmatizadeh, P. Abolghasemi, A. Behal, and L. Bölöni]]>
R. Rahmatizadeh, P. Abolghasemi, A. Behal, and L. Bölöni. Real-time placement of a wheelchair-mounted robotic arm. In IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN-2016), pp. 1032–1037, August 2016.]]>
pdf
http://www.eecs.ucf.edu/~lboloni/Publications/Download/Abolghasemi-2016-ROMAN.pdf
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Two algorithms for the movements of robotic bodyguard teams
T.S. Bhatia, G. Solmaz, D. Turgut, and L. Bölöni]]>
T.S. Bhatia, G. Solmaz, D. Turgut, and L. Bölöni. Two algorithms for the movements of robotic bodyguard teams. In Proc. of Workshop on Knowledge, Skill, and Behavior Transfer in Autonomous Robots, pp. 2–8, January 2015.]]>
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b2hd-TSBhatia-2015-KSBT.htmlTSBhatia-2015-KSBT.bib
Simulating the Impact of Blind-Spots on the Frequency of Side-Sweep Accidents
L. Bölöni]]>
L. Bölöni. Simulating the Impact of Blind-Spots on the Frequency of Side-Sweep Accidents. In Proc. of the Symposium on Theory of Modeling and Simulation: DEVS Integrative M\&S Symposium (DEVS-15), pp. 235–241, April 2015.]]>
pdf
http://dl.acm.org/citation.cfm?id=2872997
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b2hd-Bulumulle-2015-SpringSim.htmlBulumulle-2015-SpringSim.bib
Modeling the strategic behavior of drivers for multi-lane highway driving
D. Turgut, and L. Bölöni]]>
D. Turgut, and L. Bölöni. Modeling the strategic behavior of drivers for multi-lane highway driving. Journal of Intelligent Transportation Systems, 19(1):45–62, 2015.]]>
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b2hd-Luo-2015-JITS.htmlLuo-2015-JITS.bib
Mission-adaptive crowd navigation for mobile robots
S.A. Khan, and L. Bölöni]]>
S.A. Khan, and L. Bölöni. Mission-adaptive crowd navigation for mobile robots. In Proc. of Int'l Conf. on Autonomous Agents and Multi Agent Systems (AAMAS-2014), pp. 1595–1596, May 2014.]]>
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b2hd-Arif-2014-AAMAS.htmlArif-2014-AAMAS.bib
Balancing predicted mission cost and social costs by mobile robots navigating a crowd
S.A. Khan, and L. Bölöni]]>
S.A. Khan, and L. Bölöni. Balancing predicted mission cost and social costs by mobile robots navigating a crowd. In Proc. of Autonomous Robots and Multirobot Systems (ARMS) workshop at AAMAS-2014, May 2014.]]>
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b2hd-Arif-2014-ARMS.htmlArif-2014-ARMS.bib
The education of a crook: reinforcement learning in social-cultural settings
T.S. Bhatia, S.A. Khan, and L. Bölöni]]>
T.S. Bhatia, S.A. Khan, and L. Bölöni. The education of a crook: reinforcement learning in social-cultural settings. In Proc. of Int'l Conf. on Autonomous Agents and Multi Agent Systems (AAMAS-2014), pp. 1397–1398, May 2014.]]>
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b2hd-TSBhatia-2014-AAMAS.htmlTSBhatia-2014-AAMAS.bib
Integrating perception, narrative, premonition and confabulatory continuation
L. Bölöni]]>
L. Bölöni. Integrating perception, narrative, premonition and confabulatory continuation. Biologically Inspired Cognitive Architectures, 8:118–129, April 2014.]]>
pdf
http://www.sciencedirect.com/science/article/pii/S2212683X14000188
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b2hd-Boloni-2014-BICA.htmlBoloni-2014-BICA.bib
Autobiography based prediction in a situated AGI agent
L. Bölöni]]>
L. Bölöni. Autobiography based prediction in a situated AGI agent. In Seventh Conf. of Artificial General Intelligence (AGI-2014), pp. 11–21, August 2014. Kurzweil Best AGI Idea Prize 2014]]>
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http://www.eecs.ucf.edu/~lboloni/Publications/Download/Boloni-2014-AGI.pdf
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Towards learning movement in dense crowds for a socially-aware mobile robot
S.A. Khan, S. Arif, and L. Bölöni]]>
S.A. Khan, S. Arif, and L. Bölöni. Towards learning movement in dense crowds for a socially-aware mobile robot. In Workshop on Adaptive Learning Agents (ALA-2014), May 2014.]]>
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b2hd-Khan-2014-ALA.htmlKhan-2014-ALA.bib
Modeling the propagation of public perception across repeated social interactions
T.S. Bhatia, S.A. Khan, and L. Bölöni]]>
T.S. Bhatia, S.A. Khan, and L. Bölöni. Modeling the propagation of public perception across repeated social interactions. In Multi-Agent-Based Simulation XIII, LNCS 7838, pp. 13–26, 2013.]]>
pdf
http://www.eecs.ucf.edu/~lboloni/Publications/Download/Bhatia-2013-MABS-PostProc.pdf
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b2hd-Bhatia-2013-MABS-PostProc.htmlBhatia-2013-MABS-PostProc.bib
A modeling framework for inter-cultural social interactions
T.S. Bhatia, S.A. Khan, and L. Bölöni]]>
T.S. Bhatia, S.A. Khan, and L. Bölöni. A modeling framework for inter-cultural social interactions. In Proc. of the Second Int. Workshop on Human-Agent Interaction Design and Models (HAIDM-13) at AAMAS-2013, pp. 16–31, 2013.]]>
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Robots in crowds - being useful while staying out of trouble
L. Bölöni, S.A. Khan, and S. Arif]]>
L. Bölöni, S.A. Khan, and S. Arif. Robots in crowds - being useful while staying out of trouble. In Proc. of Intelligent Robotic Systems Workshop (IRS-2013) at AAAI 2013, pp. 2–7, 2013.]]>
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http://www.eecs.ucf.edu/~lboloni/Publications/Download/Boloni-2013-IRS.pdf
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Integrating perception, narrative, premonition and confabulatory continuation
L. Bölöni]]>
L. Bölöni. Integrating perception, narrative, premonition and confabulatory continuation. In Proc. of Integrated Cognition Symposium at AAAI Fall Symposium Series, pp. 2–9, 2013.]]>
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http://www.eecs.ucf.edu/~lboloni/Publications/Download/Boloni-2013-IntCog.pdf
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Comparative analysis of system identification techniques for nonlinear modeling of the neuron-microelectrode junction
S.A. Khan, V. Thakore, A. Behal, L. Bölöni, and J. J. Hickman]]>
S.A. Khan, V. Thakore, A. Behal, L. Bölöni, and J. J. Hickman. Comparative analysis of system identification techniques for nonlinear modeling of the neuron-microelectrode junction. Journal of Computational and Theoretical Nanoscience, 10(3):573–580, March 2013.]]>
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Learning social calculus with genetic programing
S.A. Khan, J.A. Streater, T.S. Bhatia, S. Fiore, and L. Bölöni]]>
S.A. Khan, J.A. Streater, T.S. Bhatia, S. Fiore, and L. Bölöni. Learning social calculus with genetic programing. In Proc. of the 26th International FLAIRS Conference, pp. 88–93, May 2013.]]>
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Emulating the consistency of human behavior with an autonomous robot in a market scenario
S.A. Khan, S. Arif, and L. Bölöni]]>
S.A. Khan, S. Arif, and L. Bölöni. Emulating the consistency of human behavior with an autonomous robot in a market scenario. In Proc. of Plan, Activity, and Intent Recognition workshop (PAIR-2013) at AAAI-2013, pp. 17–23, 2013.]]>
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Towards an operational model for the propagation of public perception in multi-agent simulation
T.S. Bhatia, S.A. Khan, and L. Bölöni]]>
T.S. Bhatia, S.A. Khan, and L. Bölöni. Towards an operational model for the propagation of public perception in multi-agent simulation. In 13th International Workshop on Multi-Agent Based Simulation (MABS-2012), pp. 1–12, June 2012.]]>
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The Spanish Steps flower scam - agent-based modeling of a complex social interaction
L. Bölöni]]>
L. Bölöni. The Spanish Steps flower scam - agent-based modeling of a complex social interaction. In Proc. of 11th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2012), pp. 1345–1346, Jun 2012.]]>
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http://www.eecs.ucf.edu/~lboloni/Publications/Download/Boloni-2012-SpanishSteps.pdf
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Modeling human-robot interaction for a market patrol task
T.S. Bhatia, S. Parker, and L. Bölöni]]>
T.S. Bhatia, S. Parker, and L. Bölöni. Modeling human-robot interaction for a market patrol task. In Proc. of 25th International FLAIRS Conference, pp. 50–55, May 2012.]]>
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Soldiers, robots and local population - modeling cross-cultural values in a peacekeeping scenario
S.A. Khan, T.S. Bhatia, and L. Bölöni]]>
S.A. Khan, T.S. Bhatia, and L. Bölöni. Soldiers, robots and local population - modeling cross-cultural values in a peacekeeping scenario. In 21th Behavior Representation in Modeling and Simulation (BRIMS) Conference, March 2012.]]>
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Modeling the conscious behavior of drivers for multi-lane highway driving
L. Bölöni]]>
L. Bölöni. Modeling the conscious behavior of drivers for multi-lane highway driving. In 7th International Workshop on Agents in Traffic and Transportation (ATT-2012), pp. 95–103, June 2012.]]>
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Xapagy: a cognitive architecture for narrative reasoning
L. Bölöni]]>
L. Bölöni. Xapagy: a cognitive architecture for narrative reasoning. preprint, arXiv:1105.3486v1, 2011.]]>
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http://arxiv.org/abs/1105.3486v1
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An investigation into the utility of episodic memory for cognitive architectures
L. Bölöni]]>
L. Bölöni. An investigation into the utility of episodic memory for cognitive architectures. In AAAI Fall Symposium on Advances in Cognitive Systems, November 2011.]]>
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Human-Robot Teams Collaborating Socially, Organizationally, and Culturally
S. M. Fiore, N. L. Badler, L. Bölöni, M. A. Goodrich, A. S. Wu, and J. Chen]]>
S. M. Fiore, N. L. Badler, L. Bölöni, M. A. Goodrich, A. S. Wu, and J. Chen. Human-Robot Teams Collaborating Socially, Organizationally, and Culturally. In 55th Annual Meeting of the Human Factors and Ergonomics Society (HFES-2011), pp. 465–469, September 2011.]]>
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Optimizing coalition formation for tasks with dynamically evolving rewards and nondeterministic action effects
D. Turgut, and L. Bölöni]]>
D. Turgut, and L. Bölöni. Optimizing coalition formation for tasks with dynamically evolving rewards and nondeterministic action effects. Journal of Autonomous Agents and Multi-Agent Systems, 22(3):415–438, 2011.]]>
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http://www.eecs.ucf.edu/~lboloni/Publications/Download/Khan-2011-JAAMAS.pdf
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Agent-based modeling of a price information trading business
L. Bölöni]]>
L. Bölöni. Agent-based modeling of a price information trading business. In Proc. of 26th International Symposium on Computer and Information Sciences (ISCIS-2011), pp. 257–262, October 2011.]]>
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Modeling lane preferences in agent-based multi-lane highway simulation
L. Bölöni]]>
L. Bölöni. Modeling lane preferences in agent-based multi-lane highway simulation. In Proc. of 26th International Symposium on Computer and Information Sciences (ISCIS-2011), pp. 263–268, October 2011.]]>
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Towards a more accurate agent-based multi-lane highway simulation
L. Bölöni]]>
L. Bölöni. Towards a more accurate agent-based multi-lane highway simulation. In Proc. of InternationalWorkshop on Agents in Traffic and Transportation (ATT10), in conjunctionwith the Conference on Autonomous and Multi-Agent Systems(AAMAS 2010), pp. 13–20, May 2010.]]>
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Analyzing and exploiting the competitiveness of scenarios for negotiating convoy formation under time constraints
L. Bölöni]]>
L. Bölöni. Analyzing and exploiting the competitiveness of scenarios for negotiating convoy formation under time constraints. Multiagent and Grid Systems - an International Journal, 6(5,6):415–435, December 2010. Special Issue of Advances in Agent-mediated Automated Negotiations]]>
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Social network-based virtual organizations for biomedical research
D. C. Marinescu and L. Bölöni]]>
D. C. Marinescu and L. Bölöni. Social network-based virtual organizations for biomedical research. In Proceedings of the 12th International Conference on E-health Networking, Applications and Services (HealthCom'10), pp. 135–142, July 2010.]]>
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b2hd-Marinescu-2010-HealthCom.htmlMarinescu-2010-HealthCom.bib
Social Potential Models for Modeling Traffic and Transportation
L. Bölöni]]>
L. Bölöni. Social Potential Models for Modeling Traffic and Transportation. In Ana L. C. Bazzan and Franziska Klügl, editors, Multi-Agent Systems for Traffic and Transportation, pp. 155–175, Information Science Reference, 2009.]]>
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b2hd-Kaup-2009-SPF.htmlKaup-2009-SPF.bib
Acting while negotiating in the convoy formation problem
L. Bölöni]]>
L. Bölöni. Acting while negotiating in the convoy formation problem. In The Second International Workshop on Agent-based ComplexAutomated Negotiations (ACAN 2009), pp. 56–61, May 2009.]]>
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http://www.eecs.ucf.edu/~lboloni/Publications/Download/Luo-2009-ACAN.pdf
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Analyzing Team Actions with Cascading HMM
L. Bölöni]]>
L. Bölöni. Analyzing Team Actions with Cascading HMM. In The 22nd International FLAIRS Conference, , pp. 129–135, May 2009.]]>
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A system for monitoring and interpreting team actions of embodied agents
L. Bölöni]]>
L. Bölöni. A system for monitoring and interpreting team actions of embodied agents. In Demoed at AAMAS 2009, May 2009.]]>
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Automatic Analysis of Embodied Team Actions
L. Bölöni]]>
L. Bölöni. Automatic Analysis of Embodied Team Actions. In Workshop on Plan, Activity, and Intent Recognition (PAIR-2009) at IJCAI-2009, 2009.]]>
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A comparison study of 12 paradigms for developing embodied agents
L. Bölöni, L. J. Luotsinen, J. N.Ekblad, T. R. Fitz-Gibbon, C. Houchin, J. Key, MA. Khan, J. Lyu, J. Nguyen, R. Oleson, G. Stein andS. Vander Weide, and V. Trinh]]>
L. Bölöni, L. J. Luotsinen, J. N.Ekblad, T. R. Fitz-Gibbon, C. Houchin, J. Key, MA. Khan, J. Lyu, J. Nguyen, R. Oleson, G. Stein andS. Vander Weide, and V. Trinh. A comparison study of 12 paradigms for developing embodied agents. Software: Practice and Experience, 38(3):259–305, 2008.]]>
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b2hd-Boloni-2008-SPE.htmlBoloni-2008-SPE.bib
Sensor cooperation in human environments through motivational gradients
L. Bölöni and D. Turgut]]>
L. Bölöni and D. Turgut. Sensor cooperation in human environments through motivational gradients. In 2008 IEEE International Conference on Systems, Man and Cybernetics (SMC-2008), pp. 2938–2943, October 2008.]]>
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http://www.eecs.ucf.edu/~lboloni/Publications/Download/Boloni-2008-IEEESMC.pdf
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b2hd-Boloni-2008-IEEESMC.htmlBoloni-2008-IEEESMC.bib
Optimizing coalition formation for tasks with dynamically evolvingrewards and nondeterministic action effects
D. Turgut, and L. Bölöni]]>
D. Turgut, and L. Bölöni. Optimizing coalition formation for tasks with dynamically evolvingrewards and nondeterministic action effects. In Proceedings of InternationalWorkshop on Optimisation in Multi-Agent Systems (OptMas08), in conjunctionwith the Seventh Joint Conference on Autonomous and Multi-Agent Systems(AAMAS 2008), pp. 69–76, May 2008.]]>
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http://www.eecs.ucf.edu/~lboloni/Publications/Download/Khan-2008-OPTMAS.pdf
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A study of collaborative influence mechanisms for highway convoydriving
D. Turgut, and L. Bölöni]]>
D. Turgut, and L. Bölöni. A study of collaborative influence mechanisms for highway convoydriving. In Proceedings of InternationalWorkshop on Agents in Traffic and Transportation (ATT08), in conjunctionwith the Seventh Joint Conference on Autonomous and Multi-Agent Systems(AAMAS 2008), pp. 46–53, May 2008.]]>
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http://www.eecs.ucf.edu/~lboloni/Publications/Download/Khan-2008-ATT.pdf
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b2hd-Khan-2008-ATT.htmlKhan-2008-ATT.bib
Collaborative and competitive scenarios in spatio-temporal negotiation with agents of bounded rationality
L. Bölöni]]>
L. Bölöni. Collaborative and competitive scenarios in spatio-temporal negotiation with agents of bounded rationality. In Proceedings of the 1st International Workshop on Agent-basedComplex Automated Negotiations, in conjunctionwith the The Seventh Intl. Joint Conf. on Autonomous Agents andMulti-Agent Systems (AAMAS 08), pp. 40–47, 2008.]]>
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http://www.eecs.ucf.edu/~lboloni/Publications/Download/Luo-2008-ACAN.pdf
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b2hd-Luo-2008-ACAN.htmlLuo-2008-ACAN.bib
Learning models of the negotiation partner in spatio-temporal collaboration
L. Bölöni]]>
L. Bölöni. Learning models of the negotiation partner in spatio-temporal collaboration. In The 4th International Conference on Collaborative Computing:Networking, Applications and Worksharing (CollaborateCom-2008), November 2008.]]>
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http://www.eecs.ucf.edu/~lboloni/Publications/Download/Luo-2008-CollaborateCom.pdf
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Role-Based Teamwork Activity Recognition in Observations of Embodied Agent Actions
L.J. Luotsinen and L. Bölöni]]>
L.J. Luotsinen and L. Bölöni. Role-Based Teamwork Activity Recognition in Observations of Embodied Agent Actions. In The Seventh Intl. Joint Conf. on Autonomous Agents and Multi-Agent Systems (AAMAS 08), pp. 567–574, 2008.]]>
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http://www.eecs.ucf.edu/~lboloni/Publications/Download/Luotsinen-2008-AAMAS.pdf
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Agent-based coalition formation in disaster response applications
L. Bölöni, M.A. Khan, and D. Turgut]]>
L. Bölöni, M.A. Khan, and D. Turgut. Agent-based coalition formation in disaster response applications. International Journal of Intelligent Control and Systems, 12(2):107–117, 2007.]]>
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http://www.eecs.ucf.edu/~lboloni/Publications/Download/Boloni-2007-IJICS.pdf
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UCFTAC: A Control Based Supply Chain Management Trading Agent
L. Bölöni]]>
L. Bölöni. UCFTAC: A Control Based Supply Chain Management Trading Agent. In Proceedings of the 20th International FLAIRS Conference, 2007.]]>
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b2hd-Haddad-2007-FLAIRS.htmlHaddad-2007-FLAIRS.bib
Children in the forest: towards a canonical problem of spatio-temporalcollaboration
L. Bölöni]]>
L. Bölöni. Children in the forest: towards a canonical problem of spatio-temporalcollaboration. In The Sixth Intl. Joint Conf. on Autonomous Agents and Multi-Agent Systems (AAMAS 07), pp. 986–993, 2007.]]>
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Automatic annotation of team actions in observations of embodied agents
L. J. Luotsinen, H. Fernlund, and L. Bölöni]]>
L. J. Luotsinen, H. Fernlund, and L. Bölöni. Automatic annotation of team actions in observations of embodied agents. In The Sixth Intl. Joint Conf. on Autonomous Agents and Multi-Agent Systems (AAMAS 07), pp. 32–34, 2007.]]>
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Comparing apples with oranges: evaluating twelve paradigms of agency
L.J. Luotsinen, J.N. Ekblad, T.R. Fitz-Gibbon, C. Houchin, J. Key, M.A. Khan, J. Lyu, J. Nguyen, R. Oleson, G. Stein, S. Vander Weide, V. Trinh, and L. Bölöni]]>
L.J. Luotsinen, J.N. Ekblad, T.R. Fitz-Gibbon, C. Houchin, J. Key, M.A. Khan, J. Lyu, J. Nguyen, R. Oleson, G. Stein, S. Vander Weide, V. Trinh, and L. Bölöni. Comparing apples with oranges: evaluating twelve paradigms of agency, pp. 93–112, Springer LNAI, 2007.]]>
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A study of the robustness of agent performance in nine popular agent implementation paradigms
L. J. Luotsinen, M. A. Khan, and L. Bölöni]]>
L. J. Luotsinen, M. A. Khan, and L. Bölöni. A study of the robustness of agent performance in nine popular agent implementation paradigms. In Proceedings of the IEEE 3rd International Conference on Intelligent Computer Communication and Processing, pp. 233–236, September 2007.]]>
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http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4352166
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b2hd-Luotsinen-2007-ICCP.htmlLuotsinen-2007-ICCP.bib
Teamwork recognition of embodied agents with hidden Markov models
L. J. Luotsinen, H. Fernlund, and L. Bölöni]]>
L. J. Luotsinen, H. Fernlund, and L. Bölöni. Teamwork recognition of embodied agents with hidden Markov models. In Proceedings of the IEEE 3rd International Conference on Intelligent Computer Communication and Processing, pp. 33–40, September 2007.]]>
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http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4352139
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Grid coordination with marketmaker agents
D. Turgut, and L. Bölöni]]>
D. Turgut, and L. Bölöni. Grid coordination with marketmaker agents. International Journal of Computational Intelligence, 3(2):153–160, 2006.]]>
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b2hd-Bai-2006-IJCI.htmlBai-2006-IJCI.bib
Agent-based coalition formation in disaster response applications
L. Bölöni, M.A. Khan, and D. Turgut]]>
L. Bölöni, M.A. Khan, and D. Turgut. Agent-based coalition formation in disaster response applications. In Proceedings of the IEEE Workshop on Distributed Intelligent Systems, pp. 259–264, June 2006.]]>
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Foreword
L. Bölöni]]>
L. Bölöni. Foreword. In Hong Lin, editors, Architectural Design of Multi-Agent Systems: Technologies and Techniques, Idea Group, 2006.]]>
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Negotiation-based coalitions in the physical world
L. Bölöni]]>
L. Bölöni. Negotiation-based coalitions in the physical world. In Fifth International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-2006), pp. 411–413, May 2006.]]>
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Comparing apples with oranges: evaluating twelve paradigms of agency
L.J. Luotsinen, J.N. Ekblad, T.R. Fitz-Gibbon, C. Houchin, J. Key, M.A. Khan, J. Lyu, J. Nguyen, R. Oleson, G. Stein, S. Vander Weide, V. Trinh, and L. Bölöni]]>
L.J. Luotsinen, J.N. Ekblad, T.R. Fitz-Gibbon, C. Houchin, J. Key, M.A. Khan, J. Lyu, J. Nguyen, R. Oleson, G. Stein, S. Vander Weide, V. Trinh, and L. Bölöni. Comparing apples with oranges: evaluating twelve paradigms of agency. In Fourth international Workshop on Programming Multi-Agent Systems (PROMAS-2006), pp. 51–65, May 2006.]]>
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b2hd-Luotsinen-2006-PROMAS.htmlLuotsinen-2006-PROMAS.bib
Space Shuttle Ground Processing with Monitoring Agents
L. Bölöni]]>
L. Bölöni. Space Shuttle Ground Processing with Monitoring Agents. IEEE Intelligent Systems, 21(1):68–73, IEEE Press, Jan/Feb 2006.]]>
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http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1588804
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b2hd-Semmel-2006-IntSys.htmlSemmel-2006-IntSys.bib
NESTA: NASA Engineering Shuttle Telemetry Agent
L. Bölöni]]>
L. Bölöni. NESTA: NASA Engineering Shuttle Telemetry Agent. AI Magazine, 27(3):25–35, 2006.]]>
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Monitoring Agents for Assisting NASA Engineers with Shuttle Ground Processing
L. Bölöni]]>
L. Bölöni. Monitoring Agents for Assisting NASA Engineers with Shuttle Ground Processing. In Integrated Intelligent Systems for Engineering Design, pp. 305–324, IOS Press, 2006.]]>
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NASA Engineering Shuttle Telemetry Agent
L. Bölöni]]>
L. Bölöni. NASA Engineering Shuttle Telemetry Agent. In John F. Kennedy Space Center 2005 Annual Report, National Aeronautics and Space Administration, 2006.]]>
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Convoy driving through ad-hoc coalition formation
L. Bölöni]]>
L. Bölöni. Convoy driving through ad-hoc coalition formation. In Proceedings of IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), San Francisco, California, pp. 98–105, IEEE Computer Society Press, Los Alamitos, CA 90720-1314, March 2005.]]>
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A Two-Stage Genetic Programming Approach for Non-Player Characters
L.J. Luotsinen, J.N. Ekblad, A.S. Wu, A. Gonzalez, and L. Bölöni]]>
L.J. Luotsinen, J.N. Ekblad, A.S. Wu, A. Gonzalez, and L. Bölöni. A Two-Stage Genetic Programming Approach for Non-Player Characters. In FuturePlay 2005 online proceedings \tt http://www.futureplay.org/papers/paper-181_luotsinen.pdf, October 2005.]]>
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NESTA: NASA Engineering Shuttle Telemetry Agent
L. Bölöni]]>
L. Bölöni. NESTA: NASA Engineering Shuttle Telemetry Agent. In Proceedings of the 20th National Conference on Artificial Intelligence and the 17th Innovative Applications of Artificial Intelligence Conference, pp. 1491–1498, July 2005. IAAI-05 Deployed Application Award]]>
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Launch Commit Criteria Monitoring Agent
L. Bölöni]]>
L. Bölöni. Launch Commit Criteria Monitoring Agent. In 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005), pp. 3–10, Association for Computing Machinery, New York, NY, USA, July 2005.]]>
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Agents with Non-Anthropomorphic Lifecycles
L. Bölöni, P. DeJung, and D. Turgut]]>
L. Bölöni, P. DeJung, and D. Turgut. Agents with Non-Anthropomorphic Lifecycles. In Proceedings of the Workshop on Intelligent Agent Architecturesat AAAI-2004, pp. 34–38, August 2004.]]>
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From the philosophy of personal identity to the laws ofagent societies
L. Bölöni]]>
L. Bölöni. From the philosophy of personal identity to the laws ofagent societies. In Proceedings of the Fourth International Symposium From AgentTheory to Agent Implementation at the 17th EuropeanMeeting on Cybernetics and Systems Research (EMCSR 2004), April 2004.]]>
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b2hd-Boloni-2004-ATAI.htmlBoloni-2004-ATAI.bib
A Survey of Merging Techniques and Tools for Ontologies.
M. Zipparo andD. Turgut andL. Bölöni]]>
M. Zipparo andD. Turgut andL. Bölöni. A Survey of Merging Techniques and Tools for Ontologies.. In Proceedings of the International Conference on Information and Knowledge Engineering, pp. 322–326, June 2004.]]>
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Software engineering challenges for mutable agent systems
L. Bölöni, M.A. Khan, X. Bai, G. Wang, Y. Ji, and D.C. Marinescu]]>
L. Bölöni, M.A. Khan, X. Bai, G. Wang, Y. Ji, and D.C. Marinescu. Software engineering challenges for mutable agent systems. In Software Engineering for Multi-Agent Systems II, Lecture Notesin Computer Science Vol 2940, pp. 149–167, Springer, 2004.]]>
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b2hd-Boloni-2004-MutabilityChapter.htmlBoloni-2004-MutabilityChapter.bib
Adaptation and mutation in multi-agent systems and beyond
L. Bölöni and D.C. Marinescu]]>
L. Bölöni and D.C. Marinescu. Adaptation and mutation in multi-agent systems and beyond. In Design of Intelligent Multi-Agent Systems - Human Centeredness,Architectures,Learning and Adaptation, pp. 315–354, Springer, December 2004.]]>
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Computer Persona: a user interaction architecture for mobileenvironments
D. Turgut, and L. Bölöni]]>
D. Turgut, and L. Bölöni. Computer Persona: a user interaction architecture for mobileenvironments. In Proceedings of the Vehicular Technology Conference VTC Spring2004, April 2004.]]>
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b2hd-Khan-2004-Persona.htmlKhan-2004-Persona.bib
Collaborative UAV exploration in hostile environments
L. J. Luotsinen, A. J. Gonzalez, and L. Bölöni]]>
L. J. Luotsinen, A. J. Gonzalez, and L. Bölöni. Collaborative UAV exploration in hostile environments. In Proceedings of the 24th, Army Science Conference, Orlando FL, November 2004.]]>
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Software Engineering Challenges for Mutable Agent Systems.
Software Engineering for Multi-Agent Systems II, Research Issues and Practical Applications, pp. 149–166, Springer, May 2003.]]>
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b2hd-Boloni-2003-SELMAS.htmlBoloni-2003-SELMAS.bib
An object-oriented framework for building collaborative network agents
D. C. Marinescu]]>
D. C. Marinescu. An object-oriented framework for building collaborative network agents. In H.N. Teodorescu, D. Mlynek, A. Kandel, and H.-J. Zimmerman, editors, Intelligent Systems and Interfaces, International Series in Intelligent Technologies, pp. 31–64, Kluwer Publising House, 2000.]]>
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A Component Agent Model - from Theory to Implementation
L. Bölöni and D.C. Marinescu]]>
L. Bölöni and D.C. Marinescu. A Component Agent Model - from Theory to Implementation. In Proceedings of the Second International Symposium From Agent Theory to Agent Implementation, in Proc. Cybernetics and Systems, Austrian Society of Cybernetic Studies, pp. 633–639, March 2000.]]>
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An object-oriented approach for semantic understanding of messages in a distributed object system
L. Bölöni, R. Hao, K.K. Jun, and D.C. Marinescu]]>
L. Bölöni, R. Hao, K.K. Jun, and D.C. Marinescu. An object-oriented approach for semantic understanding of messages in a distributed object system. In Proceedings of the International Conference on Software Engineering Applied to Networking and Parallel/ DistributedComputing (SNPD'00), May 2000.]]>
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Agent surgery: The case for mutable agents
L. Bölöni and D.C. Marinescu]]>
L. Bölöni and D.C. Marinescu. Agent surgery: The case for mutable agents. In Proceedings of the Third Workshop on Bio-Inspired Solutions toParallel Processing Problems (BioSP3), May 2000.]]>
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A Multi-Plane State Machine Agent Model
L. Bölöni and D.C. Marinescu]]>
L. Bölöni and D.C. Marinescu. A Multi-Plane State Machine Agent Model. In Proceedings of Fourth International Conference on Autonomous Agents (AGENTS 2000), pp. 80–81, ACM Press, May 2000.]]>
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The Bond Agent System and Applications
L. Bölöni, K.K. Jun, K. Palacz, R. Sion, and D.C. Marinescu]]>
L. Bölöni, K.K. Jun, K. Palacz, R. Sion, and D.C. Marinescu. The Bond Agent System and Applications. In D. Kotz and F. Mattern, editors, Agent Systems, Mobile Agents, and Applications, Lecture Notes on Computer Science, vol. 1882, pp. 99–112, Springer Verlag, 2000.]]>
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Agent-Based Resource Discovery
L. Bölöni, K. Palacz, and D.C. Marinescu]]>
L. Bölöni, K. Palacz, and D.C. Marinescu. Agent-Based Resource Discovery. In 9th Heterogeneous Computing Workshop HCW'00, pp. 43–52, May 2000.]]>
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Intelligent QoS Support for an Adaptive Video Service
L. Bölöni, D. Yau, and D.C. Marinescu]]>
L. Bölöni, D. Yau, and D.C. Marinescu. Intelligent QoS Support for an Adaptive Video Service. In Proceeding of IRMA 2000 - Challenges of Information Technology Management in the 21st Century, pp. 1096–1098, Idea Group Pub., May 2000.]]>
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Agent-based Scientific Simulation and Modeling
D.C. Marinescu, L. Bölöni, J.R. Rice, P. Tsompanopoulu, and E.A Vavalis]]>
D.C. Marinescu, L. Bölöni, J.R. Rice, P. Tsompanopoulu, and E.A Vavalis. Agent-based Scientific Simulation and Modeling. Concurrency Practice and Experience, 12(9):845–861, 2000.]]>
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b2hd-Marinescu-2000-Concurrency.htmlMarinescu-2000-Concurrency.bib
A component-based architecture for problem solving environments
D.C. Marinescu and L. Bölöni]]>
D.C. Marinescu and L. Bölöni. A component-based architecture for problem solving environments. Mathematics and Computers in Simulation, 54:279–293, 2000.]]>
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b2hd-Marinescu-2000-MathCompSim.htmlMarinescu-2000-MathCompSim.bib
MicroServers
R. Sion and L. Bölöni]]>
R. Sion and L. Bölöni. MicroServers. In Proceedings of the Evolutionary Intelligent Agents Special Session of the 2000 Congress on Evolutionary Computation, July 2000.]]>
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Structural Biology Metaphors Applied to the Design of a DistributedObjectSystem
L. Bölöni, R. Hao, K.K. Jun, and D.C. Marinescu]]>
L. Bölöni, R. Hao, K.K. Jun, and D.C. Marinescu. Structural Biology Metaphors Applied to the Design of a DistributedObjectSystem. In Proceedings of 13th International Parallel Processing Symposiumand10th Symposium on Parallel and Distributed Processing - the Second Workshop onBiologically Inspired Solutions to Parallel Processing Problems, pp. 275–283, Springer, April 1999.]]>
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b2hd-Boloni-1999-Biology.htmlBoloni-1999-Biology.bib
The Design of Software Agents for a Network of PDE Solvers
L. Bölöni, D.C. Marinescu, and J.R.Rice]]>
L. Bölöni, D.C. Marinescu, and J.R.Rice. The Design of Software Agents for a Network of PDE Solvers. In Proceedings of the Workshop of Agents for Problem SolvingApplications atthe Third International Conference on Autonomous Agents (Agents-1999), May 1999.]]>
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b2hd-Tsompanopolou-1999-AAMAS.htmlTsompanopolou-1999-AAMAS.bib
Grid Computing
Value of information based scheduling of cloud computing resources
L. Bölöni and D. Turgut]]>
L. Bölöni and D. Turgut. Value of information based scheduling of cloud computing resources. Future Generation Computer Systems, 71:212–220, June 2017.]]>
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https://doi.org/10.1016/j.future.2016.10.024
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b2hd-Boloni-2017-FGCS.htmlBoloni-2017-FGCS.bib
Learning Futures with Mixed Sentience
L. Bölöni]]>
L. Bölöni. Learning Futures with Mixed Sentience. Futures, 87:91–105, Elsevier, 2017.]]>
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http://dx.doi.org/10.1016/j.futures.2016.10.001
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b2hd-Bricout-2017-Futures.htmlBricout-2017-Futures.bib
Efficient Allocation and Composition of Distributed Storage
L. Bölöni]]>
L. Bölöni. Efficient Allocation and Composition of Distributed Storage. Journal of Supercomputing, 47(3):286–310, March 2009.]]>
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http://dx.doi.org/10.1007/s11227-008-0193-1
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Utility and Price Based Resource Allocation Models for Large-Scale Distributed Systems
L. Bölöni, D. C. Marinescu, H. J. Siegel, R. A. Daley, and I-J. Wang]]>
L. Bölöni, D. C. Marinescu, H. J. Siegel, R. A. Daley, and I-J. Wang. Utility and Price Based Resource Allocation Models for Large-Scale Distributed Systems. Journal of Parallel and Distributed Computing, 68(2):182–199, 2008.]]>
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Brokering Algorithms for Composing Low Cost Distributed Storage Resources
L. Bölöni]]>
L. Bölöni. Brokering Algorithms for Composing Low Cost Distributed Storage Resources. In International Workshop on Scalable Data Management Applications and Systems (SDMAS-2007), 2007.]]>
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A Brokering Framework for Large-Scale Distributed Systems
L. Bölöni, D.C. Marinescu, H.J. Siegel, R.A. Daley, and I-J. Wang]]>
L. Bölöni, D.C. Marinescu, H.J. Siegel, R.A. Daley, and I-J. Wang. A Brokering Framework for Large-Scale Distributed Systems. In 15th Heterogeneous Computing Workshop HCW-06, April 2006.]]>
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Are Utility, Price, and Satisfaction Resource Allocation Models Suitable for Large-Scale Distributed Systems?
L. Bölöni, D.C. Marinescu, H.J. Siegel, R.A. Daley, and I-J. Wang]]>
L. Bölöni, D.C. Marinescu, H.J. Siegel, R.A. Daley, and I-J. Wang. Are Utility, Price, and Satisfaction Resource Allocation Models Suitable for Large-Scale Distributed Systems?. In 3rd International Workshop on Grid Economics and Business Models, GECON 2006, pp. 113–122, May 2006.]]>
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Task distribution with a random overlay network
L. Bölöni, D. Turgut, and D. C. Marinescu]]>
L. Bölöni, D. Turgut, and D. C. Marinescu. Task distribution with a random overlay network. Future Generation Computer Systems (Elsevier), 22(6):676–687, Elsevier, 2006.]]>
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Challenges and Benefits of Time-Parallel Simulation of Wireless Ad Hoc Networks
L. Bölöni, D. Turgut, G. Wang, and D.C. Marinescu]]>
L. Bölöni, D. Turgut, G. Wang, and D.C. Marinescu. Challenges and Benefits of Time-Parallel Simulation of Wireless Ad Hoc Networks. In Proceedings of First International Conference on Performance Evaluation Methodologies and Tools (Valuetools-2006), October 2006.]]>
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b2hd-Boloni-2006-VALUETOOLS.htmlBoloni-2006-VALUETOOLS.bib
Characterizing Resource Allocation Heuristics for HeterogeneousComputing Systems
H.J. Siegel, A.A. Maciejewski, N.Beckand L. Bölöni, M. Maheswaran, A.I. Reutherand J.P. Robertson, M.D. Theys, and B. Yao]]>
H.J. Siegel, A.A. Maciejewski, N.Beckand L. Bölöni, M. Maheswaran, A.I. Reutherand J.P. Robertson, M.D. Theys, and B. Yao. Characterizing Resource Allocation Heuristics for HeterogeneousComputing Systems. In Advances in Computers: Volume 63: Parallel, Distributed, andPervasive Computing, pp. 93–129, Elsevier, 2005.]]>
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b2hd-Ali-2005-AllocationHeuristics.htmlAli-2005-AllocationHeuristics.bib
Coordination in Intelligent Grid Environments
D.C. Marinescu, and L. Bölöni]]>
D.C. Marinescu, and L. Bölöni. Coordination in Intelligent Grid Environments. Proceedings of the IEEE, 93(3):613–630, 2005.]]>
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Intelligent Grids
D.C. Marinescu, and L. Bölöni]]>
D.C. Marinescu, and L. Bölöni. Intelligent Grids. In Grid Computing: Software Environments and Tools, pp. 45–74, Springer, 2005.]]>
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b2hd-Bai-2005-BookChapter.htmlBai-2005-BookChapter.bib
Rapid distribution of tasks on a commodity grid
L. Bölöni, D. Turgut, T. Kocak, Y. Ji, and D. C.Marinescu]]>
L. Bölöni, D. Turgut, T. Kocak, Y. Ji, and D. C.Marinescu. Rapid distribution of tasks on a commodity grid. In Lecture Notes in Computer Science, LNCS 3470, Advances in GridComputing - EGC 2005, pp. 721–730, Springer, February 2005.]]>
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n-Cycle: a set of algorithms for task distribution on acommodity grid
L. Bölöni, D. Turgut, and D. C. Marinescu]]>
L. Bölöni, D. Turgut, and D. C. Marinescu. n-Cycle: a set of algorithms for task distribution on acommodity grid. In IEEE International Symposium on Cluster Computing and the GridCCGrid 2005, May 2005.]]>
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b2hd-Boloni-2005-CCGrid.htmlBoloni-2005-CCGrid.bib
Highly Distributed Resource Discovery and Allocation in the Grid
T. Kocak and L. Bölöni]]>
T. Kocak and L. Bölöni. Highly Distributed Resource Discovery and Allocation in the Grid. In Proceedings of the IEEE Midwest Symposium on Circuits and Systems, pp. 525–528, July 2004.]]>
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b2hd-Kocak-2004-MSCS.htmlKocak-2004-MSCS.bib
Towards an agent framework for grid computing
L. Bölöni]]>
L. Bölöni. Towards an agent framework for grid computing. In Proceedings of CIPC-03 Second International Advanced Research workshop on Concurrent Information Processing and Computing, July 2003.]]>
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b2hd-Khan-2003-CIPC.htmlKhan-2003-CIPC.bib
Towards an agent framework for grid computing
L. Bölöni]]>
L. Bölöni. Towards an agent framework for grid computing. International Scientific Journal of Computing, 2(3), 2003.]]>
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b2hd-Khan-2003-ISJC.htmlKhan-2003-ISJC.bib
Robust scheduling of metaprograms
L. Bölöni and D.C. Marinescu]]>
L. Bölöni and D.C. Marinescu. Robust scheduling of metaprograms. Journal of Scheduling, 5(5):395–412, September 2002.]]>
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b2hd-Boloni-2002-JoS.htmlBoloni-2002-JoS.bib
A Component-Based Architecture for Problem Solving Environments
D.C. Marinescu and L. Bölöni]]>
D.C. Marinescu and L. Bölöni. A Component-Based Architecture for Problem Solving Environments. In R.F. Boisvert and E.N. Houstis, editors, Computational science, mathematics and software, Purdue University Press, West Lafayette, IN, USA, 2002.]]>
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b2hd-Marinescu-2002-ProblemSolving.htmlMarinescu-2002-ProblemSolving.bib
A comparison of eleven static heuristics for mapping a class of independent tasks onto heterogeneous distributed computing systems
H.J. Siegel, N. Beck, L. Bölöni, M. Maheswaran, A.I. Reuther, J.P. Robertson, M.D. Theys, B. Yao, D.A. Hensgen, and R.F. Freund]]>
H.J. Siegel, N. Beck, L. Bölöni, M. Maheswaran, A.I. Reuther, J.P. Robertson, M.D. Theys, B. Yao, D.A. Hensgen, and R.F. Freund. A comparison of eleven static heuristics for mapping a class of independent tasks onto heterogeneous distributed computing systems. Journal of Parallel and Distributed Computing, 6(61):810–837, June 2001.]]>
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b2hd-Braun-2001-comparison.htmlBraun-2001-comparison.bib
Biological Metaphors in the Design of Complex Software Systems
D.C. Marinescu and L. Bölöni]]>
D.C. Marinescu and L. Bölöni. Biological Metaphors in the Design of Complex Software Systems. Journal of Future Generation Computer Systems, 17(4):345–360, Elsevier, 2001.]]>
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b2hd-Marinescu-2001-Biological.htmlMarinescu-2001-Biological.bib
Agent-based Scientific Simulation and Modeling
D.C. Marinescu, L. Bölöni, J.R. Rice, P. Tsompanopoulu, and E.A Vavalis]]>
D.C. Marinescu, L. Bölöni, J.R. Rice, P. Tsompanopoulu, and E.A Vavalis. Agent-based Scientific Simulation and Modeling. Concurrency Practice and Experience, 12(9):845–861, 2000.]]>
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b2hd-Marinescu-2000-Concurrency.htmlMarinescu-2000-Concurrency.bib
A component-based architecture for problem solving environments
D.C. Marinescu and L. Bölöni]]>
D.C. Marinescu and L. Bölöni. A component-based architecture for problem solving environments. Mathematics and Computers in Simulation, 54:279–293, 2000.]]>
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b2hd-Marinescu-2000-MathCompSim.htmlMarinescu-2000-MathCompSim.bib
A Comparison Study of Static Mapping Heuristics for a Class ofMeta-taskson Heterogeneous Computing Systems
H.J. Siegel, N. Beck, L. Bölöni andR. F. Freund andD. Hensgen, M. Maheshwaran, A. I. Reuther, J. P. Robertson, M.D.Theys, and B.Yao]]>
H.J. Siegel, N. Beck, L. Bölöni andR. F. Freund andD. Hensgen, M. Maheshwaran, A. I. Reuther, J. P. Robertson, M.D.Theys, and B.Yao. A Comparison Study of Static Mapping Heuristics for a Class ofMeta-taskson Heterogeneous Computing Systems. In Proceedings of 8-th Heterogeneous Computing Workshop HCW'99, pp. 15–23, April 1999.]]>
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Three Theorems on Robustness of Metaprogram Schedules
L. Bölöni and D.C. Marinescu]]>
L. Bölöni and D.C. Marinescu. Three Theorems on Robustness of Metaprogram Schedules. In Proc. ACM International Conference on Supercomputing (ICS'99) Workshop on Scheduling Algorithms for Parallel/Distributed Computing, pp. 1–6, IEEE Press, June 1999.]]>
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Robust Scheduling of Metaprograms
L. Bölöni and D.C. Marinescu]]>
L. Bölöni and D.C. Marinescu. Robust Scheduling of Metaprograms. In Proceedings of 8-th Heterogeneous Computing Workshop HCW'99, pp. 146–155, IEEE Computer Society, April 1999.]]>
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An Aspect-Oriented Approach to Distributed Object Security
L. Bölöni, K.K. Jun, and D.C. Marinescu]]>
L. Bölöni, K.K. Jun, and D.C. Marinescu. An Aspect-Oriented Approach to Distributed Object Security. In Proceedings of the Fourth IEEE Symposium on Computers andCommunications ISCC'99, pp. 23–31, IEEE Press, July 1999.]]>
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A Taxonomy for Describing Matching and Scheduling Heuristics forMixed-Machine Heterogeneous Computing Systems
H.J. Siegel, N. Beck, L. Bölöni, R.F.Freund, D. Hensgen, M. Maheshwaran, A.I. Reuther, J.P. Robertson andM.D. Theys, and B. Yao]]>
H.J. Siegel, N. Beck, L. Bölöni, R.F.Freund, D. Hensgen, M. Maheshwaran, A.I. Reuther, J.P. Robertson andM.D. Theys, and B. Yao. A Taxonomy for Describing Matching and Scheduling Heuristics forMixed-Machine Heterogeneous Computing Systems. In Proceedings of the 17th IEEE Symposium on Reliable DistributedSystems, pp. 330, October 1998.]]>
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An alternative model for scheduling on a computational grid
D.C. Marinescu, L. Bölöni, R. Hao, and K.K.Jun]]>
D.C. Marinescu, L. Bölöni, R. Hao, and K.K.Jun. An alternative model for scheduling on a computational grid. In Proceedings of ISCIS'98, the Thirteenth InternationalSymposium on Computerand Information Sciences, pp. 473–480, IOP Press, 1998.]]>
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Other
Value of Information and Cost of Privacy in the Internet of Things
D. Turgut and L. Bölöni]]>
D. Turgut and L. Bölöni. Value of Information and Cost of Privacy in the Internet of Things. IEEE Communications Magazine, 55:62–66, 2017.]]>
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Tunable antenna-coupled metal-oxide-metal (MOM) uncooled IR detector
L. Bölöni, G. Boreman, B. Lail, B. Monacelli, and A. Weeks]]>
L. Bölöni, G. Boreman, B. Lail, B. Monacelli, and A. Weeks. Tunable antenna-coupled metal-oxide-metal (MOM) uncooled IR detector. In Proceedings of SPIE 5783 - Infrared Technologies and Applications XXXI, pp. 470–482, 2005.]]>
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Partial Merging of Semi-structured Knowledgebases.
L. Bölöni and D. Turgut]]>
L. Bölöni and D. Turgut. Partial Merging of Semi-structured Knowledgebases.. In Proceedings of the 8th International Conference on Knowledge-Based Intelligent Information and Engineering Systems KES 2004, Part II, pp. 1121–1127, Springer, September 2004.]]>
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Programming KDE 3.0 (in Japanese)
L. Bölöni and S. Kinebuchi]]>
L. Bölöni and S. Kinebuchi. Programming KDE 3.0 (in Japanese), SE Shoeisha, 2002.]]>
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Programming KDE 2.0
L. Bölöni]]>
L. Bölöni. Programming KDE 2.0, CMP Books, 2000.]]>
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Hyperacuity in Time: A CNN model of a Time-Coding Pathway of SoundLocalization
L. Bölöni, T. Roska, and J. Hámori]]>
L. Bölöni, T. Roska, and J. Hámori. Hyperacuity in Time: A CNN model of a Time-Coding Pathway of SoundLocalization. IEEE Transactions on Circuits and Systems, 46(8):994–1002, August 1999.]]>
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Data handling on an analogic mammography diagnostic workstation
L. Bölöni]]>
L. Bölöni. Data handling on an analogic mammography diagnostic workstation. Hungarian Oncology (Magyar Onkológia), 42:109–120, 1998.]]>
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A cellular neural network model of the time-coding pathway of soundlocalization-hyperacuity in time
L. Bölöni, T. Roska, and J.Hámori]]>
L. Bölöni, T. Roska, and J.Hámori. A cellular neural network model of the time-coding pathway of soundlocalization-hyperacuity in time. In Proceedings of the IEEE International Conference on NeuralNetworks, volume II., pp. 670–675, June 1996.]]>
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CNN Model for Illusory Contour Detection in Primate CerebralCortex
L. Bölöni]]>
L. Bölöni. CNN Model for Illusory Contour Detection in Primate CerebralCortex. In Second Hungarian Vision Conference, 1995.]]>
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Neural Dynamics Of The Kohonen Feature Map Applied In Speech Recognition
L. Bölöni]]>
L. Bölöni. Neural Dynamics Of The Kohonen Feature Map Applied In Speech Recognition. Journal of Automation, Computers and Applied Mathematics, 3(1), 1994.]]>
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