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Semantic ScholarGita Reese Sukthankar
Gita Sukthankar
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- affiliation: University of Central Florida, Orlando, USA
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2010 – today
- 2019
[i10]Neda Hajiakhoond Bidoki, Gita Sukthankar, Heather Keathley, Ivan Garibay:
A Cross-Repository Model for Predicting Popularity in GitHub. CoRR abs/1902.05216 (2019)- [i9]Saif Alabachi, Gita Sukthankar, Rahul Sukthankar:
Customizing Object Detectors for Indoor Robots. CoRR abs/1902.10671 (2019) - 2018
- [c80]Saif Alabachi, Gita Sukthankar:
Intelligently Assisting Human-Guided Quadcopter Photography. FLAIRS Conference 2018: 336-341 - [c79]Astrid Jackson, Brandon D. Northcutt, Gita Sukthankar:
The Benefits of Teaching Robots using VR Demonstrations. HRI (Companion) 2018: 129-130 - [c78]Neda Hajiakhoond Bidoki, Masoud Baghbahari Baghdadabad, Gita Sukthankar, Damla Turgut:
Joint Value of Information and Energy Aware Sleep Scheduling in Wireless Sensor Networks: A Linear Programming Approach. ICC 2018: 1-6 - [c77]Samaneh Saadat, Chathika Gunaratne, Nisha Baral, Gita Sukthankar, Ivan Garibay:
Initializing Agent-Based Models with Clustering Archetypes. SBP-BRiMS 2018: 233-239 - [e5]Elisabeth André, Sven Koenig, Mehdi Dastani, Gita Sukthankar:
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS 2018, Stockholm, Sweden, July 10-15, 2018. International Foundation for Autonomous Agents and Multiagent Systems Richland, SC, USA / ACM 2018 [contents] - [i8]Sayyed Jaffar Ali Raza, Nitish A. Gupta, Nisarg Chitaliya, Gita Reese Sukthankar:
Real-World Modeling of a Pathfinding Robot Using Robot Operating System (ROS). CoRR abs/1802.10138 (2018) - [i7]Alireza Hajibagheri, Gita Sukthankar:
Investigating Negative Interactions in Multiplex Networks: A Mutual Information Approach. CoRR abs/1804.07210 (2018) - [i6]Saif Alabachi, Gita Sukthankar:
Intelligently Assisting Human-Guided Quadcopter Photography. CoRR abs/1806.08039 (2018) - [i5]Neda Hajiakhoond Bidoki, Gita Sukthankar:
A Communication Protocol for Man-Machine Networks. CoRR abs/1808.07975 (2018) - 2017
- [c76]Alireza Hajibagheri, Gita Sukthankar, Kiran Lakkaraju:
Extracting Information from Negative Interactions in Multiplex Networks Using Mutual Information. SBP-BRiMS 2017: 322-328 - [e4]Gita Sukthankar, Juan A. Rodríguez-Aguilar:
Autonomous Agents and Multiagent Systems - AAMAS 2017 Workshops, Best Papers, São Paulo, Brazil, May 8-12, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10642, Springer 2017, ISBN 978-3-319-71681-7 [contents] - [e3]Gita Sukthankar, Juan A. Rodríguez-Aguilar:
Autonomous Agents and Multiagent Systems - AAMAS 2017 Workshops, Visionary Papers, São Paulo, Brazil, May 8-12, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10643, Springer 2017, ISBN 978-3-319-71678-7 [contents] - 2016
- [j15]Biplav Srivastava, Gita Sukthankar:
Reports on the 2016 IJCAI Workshop Series. AI Magazine 37(4): 94-101 (2016) - [j14]Hamidreza Alvari, Alireza Hajibagheri, Gita Sukthankar, Kiran Lakkaraju:
Identifying community structures in dynamic networks. Social Netw. Analys. Mining 6(1): 77:1-77:13 (2016) - [c75]Alireza Hajibagheri, Gita Sukthankar, Kiran Lakkaraju:
A holistic approach for predicting links in coevolving multiplex networks. ASONAM 2016: 1079-1086 - [c74]
- [c73]Rey Coaguila, Gita Reese Sukthankar, Rahul Sukthankar:
Selecting Vantage Points for an Autonomous Quadcopter Videographer. FLAIRS Conference 2016: 386-391 - [c72]Astrid Jackson, Gita Sukthankar:
Learning Continuous State/Action Models for Humanoid Robots. FLAIRS Conference 2016: 392-397 - [c71]Alireza Hajibagheri, Gita Sukthankar, Kiran Lakkaraju:
Leveraging Network Dynamics for Improved Link Prediction. SBP-BRiMS 2016: 142-151 - [c70]Alireza Hajibagheri, Gita Sukthankar, Kiran Lakkaraju:
A Holistic Approach for Link Prediction in Multiplex Networks. SocInfo (2) 2016: 55-70 - [i4]Alireza Hajibagheri, Gita Sukthankar, Kiran Lakkaraju:
Leveraging Network Dynamics for Improved Link Prediction. CoRR abs/1604.03221 (2016) - [i3]Hamidreza Alvari, Alireza Hajibagheri, Gita Sukthankar, Kiran Lakkaraju:
Identifying Community Structures in Dynamic Networks. CoRR abs/1609.02622 (2016) - [i2]Alireza Hajibagheri, Gita Sukthankar, Kiran Lakkaraju:
A Holistic Approach for Predicting Links in Coevolving Multilayer Networks. CoRR abs/1609.03946 (2016) - 2015
- [j13]Christopher W. Geib, Vikas Agrawal, Gita Sukthankar, Lokendra Shastri, Hung Hai Bui:
Architectures for Activity Recognition and Context-Aware Computing. AI Magazine 36(2): 3-9 (2015) - [j12]Rahmatollah Beheshti, Gita Sukthankar:
A hybrid modeling approach for parking and traffic prediction in urban simulations. AI Soc. 30(3): 333-344 (2015) - [c69]Rahmatollah Beheshti, Awrad Mohammed Ali, Gita Reese Sukthankar:
Cognitive Social Learners: An Architecture for Modeling Normative Behavior. AAAI 2015: 2017-2023 - [c68]Erfan Davami, Gita Sukthankar:
Improving the Performance of Mobile Phone Crowdsourcing Applications. AAMAS 2015: 145-153 - [c67]Rahmatollah Beheshti, Gita Sukthankar:
Modeling Tipping Point Theory using Normative Multi-agent Systems: (Extended Abstract). AAMAS 2015: 1731-1732 - [c66]Gita Sukthankar, Rahmatollah Beheshti:
Modeling implicit collaboration with normative agent architectures. CTS 2015: 489 - [c65]Alireza Hajibagheri, Kiran Lakkaraju, Gita Sukthankar, Rolf T. Wigand, Nitin Agarwal:
Conflict and Communication in Massively-Multiplayer Online Games. SBP 2015: 65-74 - 2014
- [j11]Gita Sukthankar, Ian Horswill:
The Ninth Annual AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE): A Report. AI Magazine 35(2): 61-64 (2014) - [c64]Hamidreza Alvari, Alireza Hajibagheri, Gita Reese Sukthankar:
Community detection in dynamic social networks: A game-theoretic approach. ASONAM 2014: 101-107 - [c63]Syed Fahad Allam Shah, Gita Sukthankar:
Mining Social Interaction Data in Virtual Worlds. ARE/AVSA@AAMAS 2014: 86-105 - [c62]Rahmatollah Beheshti, Gita Sukthankar:
A normative agent-based model for predicting smoking cessation trends. AAMAS 2014: 557-564 - [c61]Erfan Davami, Gita Sukthankar:
Evaluating trust-based fusion models for participatory sensing applications. AAMAS 2014: 1377-1378 - [c60]Bennie Lewis, Gita Sukthankar:
Know thy user: Designing human-robot interaction paradigms for multi-robot manipulation. IROS 2014: 4362-4367 - [c59]Hamidreza Alvari, Kiran Lakkaraju, Gita Sukthankar, Jonathan Whetzel:
Predicting Guild Membership in Massively Multiplayer Online Games. SBP 2014: 215-222 - [p2]Xi Wang, Gita Sukthankar:
Link Prediction in Heterogeneous Collaboration Networks. Social Network Analysis 2014: 165-192 - [p1]Mahsa Maghami, Gita Sukthankar:
Scaling Influence Maximization with Network Abstractions. Social Network Analysis 2014: 243-267 - [i1]Liyue Zhao, Yu Zhang, Gita Sukthankar:
An Active Learning Approach for Jointly Estimating Worker Performance and Annotation Reliability with Crowdsourced Data. CoRR abs/1401.3836 (2014) - 2013
- [j10]Mark Riedl, Gita Reese Sukthankar, Arnav Jhala, Jichen Zhu, Santi Ontañón Villar, Michael Buro, David Churchill:
The Eighth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. AI Magazine 34(1): 87-89 (2013) - [j9]Vikas Agrawal, Christopher Archibald, Mehul Bhatt, Hung Hai Bui, Diane J. Cook, Juan Cortés, Christopher W. Geib, Vibhav Gogate, Hans W. Guesgen, Dietmar Jannach, Michael Johanson, Kristian Kersting, George Konidaris, Lars Kotthoff, Martin Michalowski, Sriraam Natarajan, Barry O'Sullivan, Marc Pickett, Vedran Podobnik, David Poole, Lokendra Shastri, Amarda Shehu, Gita Sukthankar:
The AAAI-13 Conference Workshops. AI Magazine 34(4): 9- (2013) - [j8]Jeremiah T. Folsom-Kovarik, Gita Sukthankar, Sae Lynne Schatz:
Tractable POMDP representations for intelligent tutoring systems. ACM TIST 4(2): 29:1-29:22 (2013) - [c58]Mahsa Maghami, Gita Sukthankar:
Hierarchical influence maximization for advertising in multi-agent markets. ASONAM 2013: 21-27 - [c57]Alireza Hajibagheri, Ali Hamzeh, Gita Sukthankar:
Modeling information diffusion and community membership using stochastic optimization. ASONAM 2013: 175-182 - [c56]Xi Wang, Gita Sukthankar:
Link prediction in multi-relational collaboration networks. ASONAM 2013: 1445-1447 - [c55]Nicholas Bowen, Jonathan Todd, Gita Sukthankar:
Adjutant bot: An evaluation of unit micromanagement tactics. CIG 2013: 1-8 - [c54]Yuan Chang, Gita Reese Sukthankar:
Exploiting Key Events for Learning Interception Policies. FLAIRS Conference 2013 - [c53]Rahmatollah Beheshti, Gita Sukthankar:
Analyzing Agent-Based Models Using Category Theory. IAT 2013: 280-286 - [c52]Bennie Lewis, Bulent Tastan, Gita Sukthankar:
An adjustable autonomy paradigm for adapting to expert-novice differences. IROS 2013: 1656-1662 - [c51]
- [c50]Rahmatollah Beheshti, Gita Sukthankar:
Improving Markov Chain Monte Carlo Estimation with Agent-Based Models. SBP 2013: 495-502 - [e2]Gita Sukthankar, Ian Horswill:
Proceedings of the Ninth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE-13, Boston, Massachusetts, USA, October 14-18, 2013. AAAI 2013 [contents] - 2012
- [j7]Noa Agmon, Vikas Agrawal, David W. Aha, Yiannis Aloimonos, Donagh Buckley, Prashant Doshi, Christopher W. Geib, Floriana Grasso, Nancy Green, Benjamin Johnston, Burt Kaliski, Christopher Kiekintveld, Edith Law, Henry Lieberman, Ole J. Mengshoel, Ted Metzler, Joseph Modayil, Douglas W. Oard, Nilufer Onder, Barry O'Sullivan, Katerina Pastra, Doina Precup, Sowmya Ramachandran, Chris Reed, Sanem Sariel Talay, Ted Selker, Lokendra Shastri, Stephen F. Smith, Satinder P. Singh, Siddharth Srivastava, Gita Sukthankar, David C. Uthus, Mary-Anne Williams:
Reports of the AAAI 2011 Conference Workshops. AI Magazine 33(1) (2012) - [c49]Mahsa Maghami, Gita Sukthankar:
Identifying influential agents for advertising in multi-agent markets. AAMAS 2012: 687-694 - [c48]Bennie Lewis, Gita Sukthankar:
Configurable human-robot interaction for multi-robot manipulation tasks. AAMAS 2012: 1219-1220 - [c47]
- [c46]Bulent Tastan, Yuan Chang, Gita Sukthankar:
Learning to intercept opponents in first person shooter games. CIG 2012: 100-107 - [c45]Jeremiah T. Folsom-Kovarik, Gita Sukthankar, Sae Lynne Schatz:
Integrating Learner Help Requests Using a POMDP in an Adaptive Training System. IAAI 2012 - [c44]Liyue Zhao, Gita Sukthankar, Rahul Sukthankar:
Importance-weighted label prediction for active learning with noisy annotations. ICPR 2012: 3476-3479 - [c43]Erfan Davami, Gita Sukthankar:
Online Learning of User-Specific Destination Prediction Models. SocialInformatics 2012: 40-43 - [c42]Kirill Osipov, Gita Sukthankar:
Forming Effective Teams from Agents with Diverse Skill Sets. SocialInformatics 2012: 44-48 - [c41]Rahmatollah Beheshti, Gita Sukthankar:
Extracting Agent-Based Models of Human Transportation Patterns. SocialInformatics 2012: 157-164 - [e1]Mark Riedl, Gita Sukthankar:
Proceedings of the Eighth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE-12, Stanford, California, USA, October 8-12, 2012. The AAAI Press 2012 [contents] - 2011
- [j6]Roger Azevedo, Gautam Biswas, Dan Bohus, Ted Carmichael, Mark A. Finlayson, Mirsad Hadzikadic, Catherine Havasi, Eric Horvitz, Takayuki Kanda, Oluwasanmi Koyejo, William F. Lawless, Douglas B. Lenat, Felipe Meneguzzi, Bilge Mutlu, Jean Oh, Roberto Pirrone, Antoine Raux, Donald A. Sofge, Gita Sukthankar, Benjamin Van Durme:
Reports of the AAAI 2010 Fall Symposia. AI Magazine 32(1): 93-100 (2011) - [j5]Bulent Tastan, Gita Sukthankar:
Leveraging human behavior models to predict paths in indoor environments. Pervasive and Mobile Computing 7(3): 319-330 (2011) - [j4]Gita Sukthankar, Katia P. Sycara:
Activity Recognition for Dynamic Multi-Agent Teams. ACM TIST 3(1): 18:1-18:24 (2011) - [c40]Liyue Zhao, Gita Sukthankar, Rahul Sukthankar:
Robust Active Learning Using Crowdsourced Annotations for Activity Recognition. Human Computation 2011 - [c39]Bulent Tastan, Gita Reese Sukthankar:
Learning Policies for First Person Shooter Games Using Inverse Reinforcement Learning. AIIDE 2011 - [c38]Xi Wang, Mahsa Maghami, Gita Sukthankar:
Leveraging Network Properties for Trust Evaluation in Multi-agent Systems. IAT 2011: 288-295 - [c37]Fahad Shah, Gita Reese Sukthankar:
Using Network Structure to Identify Groups in Virtual Worlds. ICWSM 2011 - [c36]Kennard Laviers, Gita Sukthankar:
A Real-Time Opponent Modeling System for Rush Football. IJCAI 2011: 2476-2481 - [c35]Bennie Lewis, Gita Sukthankar:
Two hands are better than one: Assisting users with multi-robot manipulation tasks. IROS 2011: 2590-2595 - [c34]Fahad Shah, Gita Sukthankar:
Constructing Social Networks from Unstructured Group Dialog in Virtual Worlds. SBP 2011: 180-187 - [c33]Mahsa Maghami, Gita Sukthankar:
An Agent-Based Simulation for Investigating the Impact of Stereotypes on Task-Oriented Group Formation. SBP 2011: 252-259 - [c32]Liyue Zhao, Gita Sukthankar, Rahul Sukthankar:
Incremental Relabeling for Active Learning with Noisy Crowdsourced Annotations. SocialCom/PASSAT 2011: 728-733 - [c31]Xi Wang, Gita Sukthankar:
Extracting Social Dimensions Using Fiedler Embedding. SocialCom/PASSAT 2011: 824-829 - 2010
- [j3]David W. Aha, Mark S. Boddy, Vadim Bulitko, Artur S. d'Avila Garcez, Prashant Doshi, Stefan Edelkamp, Christopher W. Geib, Piotr J. Gmytrasiewicz, Robert P. Goldman, Pascal Hitzler, Charles L. Isbell, Darsana P. Josyula, Leslie Pack Kaelbling, Kristian Kersting, Maithilee Kunda, Luís C. Lamb, Bhaskara Marthi, Keith McGreggor, Vivi Nastase, Gregory M. Provan, Anita Raja, Ashwin Ram, Mark O. Riedl, Stuart J. Russell, Ashish Sabharwal, Jan-Georg Smaus, Gita Sukthankar, Karl Tuyls, Ron van der Meyden, Alon Y. Halevy, Lilyana Mihalkova, Sriraam Natarajan:
Reports of the AAAI 2010 Conference Workshops. AI Magazine 31(4): 95-108 (2010) - [j2]Gita Sukthankar, Katia P. Sycara:
Analyzing Team Decision-Making in Tactical Scenarios. Comput. J. 53(5): 503-512 (2010) - [c30]Jeremiah T. Folsom-Kovarik, Gita Sukthankar, Sae Lynne Schatz, Denise M. Nicholson:
Scalable POMDPs for Diagnosis and Planning in Intelligent Tutoring Systems. AAAI Fall Symposium: Proactive Assistant Agents 2010 - [c29]
- [c28]Kennard Laviers, Gita Sukthankar:
Identifying and utilizing subgroup coordination patterns in team adversarial games. AAMAS 2010: 1409-1410 - [c27]Bennie Lewis, Bulent Tastan, Gita Sukthankar:
Improving multi-robot teleoperation by inferring operator distraction. AAMAS 2010: 1505-1506 - [c26]Rawad Al-Haddad, Gita Sukthankar:
A Psychologically-Inspired Agent for Iterative Prisoner's Dilemma. FLAIRS Conference 2010 - [c25]Fahad Shah, Philip Bell, Gita Sukthankar:
A Destination Recommendation System for Virtual Worlds. FLAIRS Conference 2010 - [c24]Liyue Zhao, Xi Wang, Gita Sukthankar, Rahul Sukthankar:
Motif Discovery and Feature Selection for CRF-based Activity Recognition. ICPR 2010: 3826-3829 - [c23]Fahad Shah, Gita Reese Sukthankar, Chris Usher:
Modeling Group Dynamics in Virtual Worlds. ICWSM 2010 - [c22]Jeremiah T. Folsom-Kovarik, Sae Lynne Schatz, Gita Sukthankar, Denise M. Nicholson:
What information does this question convey?: leveraging help-seeking behavior for improved modeling in a simulation-based intelligent tutor. SpringSim 2010: 26
2000 – 2009
- 2009
- [c21]Kennard Laviers, Gita Sukthankar, David W. Aha, Matthew Molineaux:
Improving Offensive Performance Through Opponent Modeling. AIIDE 2009 - [c20]Matthew Molineaux, David W. Aha, Gita Sukthankar:
Beating the Defense: Using Plan Recognition to Inform Learning Agents. FLAIRS Conference 2009 - [c19]Fahad Shah, Philip Bell, Gita Sukthankar:
Identifying User Destinations in VirtualWorlds. FLAIRS Conference 2009 - [c18]Bulent Tastan, Gita Sukthankar:
Exploiting human steering models for path prediction. FUSION 2009: 1722-1729 - [c17]David W. Aha, Matthew Molineaux, Gita Sukthankar:
Case-Based Reasoning in Transfer Learning. ICCBR 2009: 29-44 - [c16]Fahad Shah, Philip Bell, Gita Sukthankar:
Agent-Assisted Navigation for Virtual Worlds. IVA 2009: 543-544 - [c15]Liyue Zhao, Gita Sukthankar:
An active learning approach for segmenting human activity datasets. ACM Multimedia 2009: 765-768 - 2008
- [c14]Gita Sukthankar, Katia P. Sycara:
Hypothesis Pruning and Ranking for Large Plan Recognition Problems. AAAI 2008: 998-1003 - [c13]John Reeder, Gita Sukthankar, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Intelligent Trading Agents for Massively Multi-player Game Economies. AIIDE 2008 - [c12]Gita Sukthankar, Katia P. Sycara:
Robust and efficient plan recognition for dynamic multi-agent teams. AAMAS (3) 2008: 1383-1388 - 2007
- [c11]Gita Sukthankar, Katia P. Sycara:
Policy recognition for multi-player tactical scenarios. AAMAS 2007: 16 - 2006
- [c10]Gita Sukthankar, Katia P. Sycara:
Simultaneous Team Assignment and Behavior Recognition from Spatio-Temporal Agent Traces. AAAI 2006: 716-721 - [c9]Gita Sukthankar, Katia P. Sycara:
Robust recognition of physical team behaviors using spatio-temporal models. AAMAS 2006: 638-645 - 2005
- [j1]Michael N. Huhns, Munindar P. Singh, Mark H. Burstein, Keith S. Decker, Edmund H. Durfee, Timothy W. Finin, Les Gasser, Hrishikesh J. Goradia, Nicholas R. Jennings, Kiran Lakkaraju, Hideyuki Nakashima, H. Van Dyke Parunak, Jeffrey S. Rosenschein, Alicia Ruvinsky, Gita Sukthankar, Samarth Swarup, Katia P. Sycara, Milind Tambe, Thomas Wagner, Rosa Laura Zavala Gutierrez:
Research Directions for Service-Oriented Multiagent Systems. IEEE Internet Computing 9(6): 65-70 (2005) - [c8]Gita Sukthankar, Katia P. Sycara:
A cost minimization approach to human behavior recognition. AAMAS 2005: 1067-1074 - 2004
- [c7]Gita Sukthankar, Michael I. Mandel, Katia Sycara-Cyranski, Jessica K. Hodgins:
Modeling Physical Capabilities of Humanoid Agents Using Motion Capture Dat. AAMAS 2004: 344-351 - 2003
- [c6]Tat-Jen Cham, James M. Rehg, Rahul Sukthankar, Gita Sukthankar:
Shadow Elimination and Occluder Light Suppression for Multi-Projector Displays. CVPR (2) 2003: 513-520 - 2002
- [c5]James M. Rehg, Matthew Flagg, Tat-Jen Cham, Rahul Sukthankar, Gita Sukthankar:
Projected light displays using visual feedback. ICARCV 2002: 926-932 - 2001
- [c4]Rahul Sukthankar, Tat-Jen Cham, Gita Sukthankar:
Dynamic Shadow Elimination for Multi-Projector Displays. CVPR (2) 2001: 151-157 - [c3]Rahul Sukthankar, Tat-Jen Cham, Gita Sukthankar, James M. Rehg, David Hsu, Thomas Leung:
Self-Calibrating Camera Projector Systems for Interactive Displays and Presentations. ICCV 2001: 748 - 2000
- [c2]
1990 – 1999
- 1999
- [c1]Onn Shehory, Katia P. Sycara, Gita Sukthankar, Vick Mukherjee:
Agent Aided Aircraft Maintenance. Agents 1999: 306-312