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ORCIDGita Reese Sukthankar
Gita Sukthankar
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- affiliation: University of Central Florida, Orlando, USA
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2020 – today
- 2024
[j23]Abduljaleel Al-Rubaye, Gita Sukthankar:
Popularity and discourse in tech-related online communities. Soc. Netw. Anal. Min. 14(1): 146 (2024)- [j22]Olivia B. Newton, Samaneh Saadat, Jihye Song, Stephen M. Fiore, Gita Sukthankar:
EveryBOTy Counts: Examining Human-Machine Teams in Open Source Software Development. Top. Cogn. Sci. 16(3): 450-484 (2024) - [c113]Austin Davis
, Gita Sukthankar:
Decoding Chess Mastery: A Mechanistic Analysis of a Chess Language Transformer Model. AGI 2024: 63-72 - [c112]Syed Hammad Ahmed, Muhammad Junaid Khan, Gita Sukthankar:
Enhanced Multimodal Content Moderation of Children's Videos using Audiovisual Fusion. FLAIRS 2024 - [c111]Muhammad Junaid Khan, Syed Hammad Ahmed, Gita Sukthankar:
Smart Sampling: Self-Attention and Bootstrapping for Improved Ensembled Q-Learning. FLAIRS 2024 - [c110]Aaditya Bhatia, Gita Sukthankar:
Moderating Democratic Discourse with LLMs. SBP-BRiMS 2024: 123-132 - [i33]Syed Hammad Ahmed, Muhammad Junaid Khan, Gita Sukthankar:
Enhanced Multimodal Content Moderation of Children's Videos using Audiovisual Fusion. CoRR abs/2405.06128 (2024) - [i32]Muhammad Junaid Khan, Syed Hammad Ahmed, Gita Sukthankar:
Smart Sampling: Self-Attention and Bootstrapping for Improved Ensembled Q-Learning. CoRR abs/2405.08252 (2024) - [i31]Jack Vice, Natalie Ruiz-Sanchez, Pamela K. Douglas, Gita Sukthankar:
Visual Episodic Memory-based Exploration. CoRR abs/2405.11298 (2024) - [i30]Muhammad Junaid Khan, Gita Sukthankar:
SC-Phi2: A Fine-tuned Small Language Model for StarCraft II Macromanagement Tasks. CoRR abs/2409.18989 (2024) - 2023
- [c109]Aaditya Bhatia, Austin Davis, Soumik Ghosh, Gita Sukthankar:
Generally Genius: A Generals.io Agent Development and Data Collection Framework. AIIDE 2023: 400-406 - [c108]Abduljaleel Al-Rubaye, Gita Sukthankar:
How Popularity Shapes User Interactions in Tech-Related Online Communities. ASONAM 2023: 310-314 - [c107]Ayesha Enayet, Gita Sukthankar:
Improving the Generalizability of Collaborative Dialogue Analysis With Multi-Feature Embeddings. EACL 2023: 3533-3547 - [c106]Syed Hammad Ahmed, Muhammad Junaid Khan, Hafiz Muhammad Umer Qaisar, Gita Sukthankar:
Malicious or Benign? Towards Effective Content Moderation for Children's Videos. FLAIRS 2023 - [c105]Jack Vice, Natalie Ruiz-Sanchez, Pamela K. Douglas, Gita Sukthankar:
Visual Episodic Memory-based Exploration. FLAIRS 2023 - [c104]Amirarsalan Rajabi, Mehdi Yazdani-Jahromi, Özlem Özmen Garibay, Gita Sukthankar:
Through a Fair Looking-Glass: Mitigating Bias in Image Datasets. HCI (40) 2023: 446-459 - [c103]Syed Hammad Ahmed, Shengnan Hu, Gita Sukthankar:
The Potential of Vision-Language Models for Content Moderation of Children's Videos. ICMLA 2023: 1237-1241 - [c102]Shengnan Hu, Ce Zheng, Zixiang Zhou, Chen Chen, Gita Sukthankar:
LAMP: Leveraging Language Prompts for Multi-Person Pose Estimation. IROS 2023: 3759-3766 - [c101]Marwan Omar, Gita Sukthankar:
Text-Defend: Detecting Adversarial Examples using Local Outlier Factor. ICSC 2023: 118-122 - [c100]Ayesha Enayet, Gita Sukthankar:
A Proactive and Generalizable Conflict Prediction Model. ICSC 2023: 216-220 - [i29]Ayesha Enayet, Gita Sukthankar:
Improving the Generalizability of Collaborative Dialogue Analysis with Multi-Feature Embeddings. CoRR abs/2302.04716 (2023) - [i28]Syed Hammad Ahmed, Muhammad Junaid Khan, Hafiz Muhammad Umer Qaisar, Gita Sukthankar:
Malicious or Benign? Towards Effective Content Moderation for Children's Videos. CoRR abs/2305.15551 (2023) - [i27]Shengnan Hu, Ce Zheng, Zixiang Zhou, Chen Chen, Gita Sukthankar:
LAMP: Leveraging Language Prompts for Multi-person Pose Estimation. CoRR abs/2307.11934 (2023) - [i26]Syed Hammad Ahmed, Shengnan Hu, Gita Sukthankar:
The Potential of Vision-Language Models for Content Moderation of Children's Videos. CoRR abs/2312.03936 (2023) - 2022
- [c99]Muhammad Junaid Khan, Syed Hammad Ahmed, Gita Sukthankar:
Transformer-Based Value Function Decomposition for Cooperative Multi-Agent Reinforcement Learning in StarCraft. AIIDE 2022: 113-119 - [c98]Abduljaleel Al-Rubaye, Gita Sukthankar:
Improving Code Review with GitHub Issue Tracking. ASONAM 2022: 210-217 - [c97]Jack Vice, Gita Sukthankar, Pamela K. Douglas:
Leveraging Evolutionary Algorithms for Feasible Hexapod Locomotion Across Uneven Terrain. FLAIRS 2022 - [c96]Shengnan Hu, Gita Sukthankar:
Predicting Team Performance with Spatial Temporal Graph Convolutional Networks. ICPR 2022: 2342-2348 - [c95]Ayesha Enayet, Gita Sukthankar:
An Analysis of Dialogue Act Sequence Similarity Across Multiple Domains. LREC 2022: 3122-3130 - [e8]Nikolos Gurney, Gita Sukthankar:
Computational Theory of Mind for Human-Machine Teams - First International Symposium, ToM for Teams 2021, Virtual Event, November 4-6, 2021, Revised Selected Papers. Lecture Notes in Computer Science 13775, Springer 2022, ISBN 978-3-031-21670-1 [contents] - [i25]Jack Vice, Gita Sukthankar, Pamela K. Douglas:
Leveraging Evolutionary Algorithms for Feasible Hexapod Locomotion Across Uneven Terrain. CoRR abs/2203.15948 (2022) - [i24]Shengnan Hu, Gita Sukthankar:
Predicting Team Performance with Spatial Temporal Graph Convolutional Networks. CoRR abs/2206.10720 (2022) - [i23]Muhammad Junaid Khan, Syed Hammad Ahmed, Gita Sukthankar:
Transformer-based Value Function Decomposition for Cooperative Multi-agent Reinforcement Learning in StarCraft. CoRR abs/2208.07298 (2022) - [i22]Amirarsalan Rajabi, Mehdi Yazdani-Jahromi, Özlem Özmen Garibay, Gita Sukthankar:
Through a fair looking-glass: mitigating bias in image datasets. CoRR abs/2209.08648 (2022) - [i21]Abduljaleel Al-Rubaye, Gita Sukthankar:
Improving Code Review with GitHub Issue Tracking. CoRR abs/2210.04434 (2022) - 2021
- [j21]Ayesha Enayet, Gita Sukthankar:
Learning a Generalizable Model of Team Conflict from Multiparty Dialogues. Int. J. Semantic Comput. 15(4): 441-460 (2021) - [c94]Samaneh Saadat, Natalia Colmenares, Gita Sukthankar:
Do Bots Modify the Workflow of GitHub Teams? BotSE@ICSE 2021: 1-5 - [c93]Shengnan Hu, Zerong Xi, Greg McGowin, Gita Sukthankar, Stephen M. Fiore, Kevin Oden:
Representing Time Series Data in Intelligent Training Systems. FLAIRS 2021 - [c92]Zerong Xi, Gita Sukthankar:
Estimating the Variance of Return Sequences for Exploration. ICMLA 2021: 429-434 - [c91]Muhammad Junaid Khan, Shah Hassan, Gita Sukthankar:
Leveraging Transformers for StarCraft Macromanagement Prediction. ICMLA 2021: 1229-1234 - [c90]Ayesha Enayet, Gita Sukthankar:
Analyzing Team Performance with Embeddings from Multiparty Dialogues. ICSC 2021: 33-39 - [i20]Ayesha Enayet, Gita Sukthankar:
Analyzing Team Performance with Embeddings from Multiparty Dialogues. CoRR abs/2101.09421 (2021) - [i19]Samaneh Saadat, Natalia Colmenares, Gita Sukthankar:
Do Bots Modify the Workflow of GitHub Teams? CoRR abs/2103.09319 (2021) - [i18]Muhammad Junaid Khan, Shah Hassan, Gita Sukthankar:
Leveraging Transformers for StarCraft Macromanagement Prediction. CoRR abs/2110.05343 (2021) - 2020
- [j20]Vera A. Kazakova, Gita Reese Sukthankar:
Adaptable and stable decentralized task allocation for hierarchical domains. Knowl. Eng. Rev. 35: e26 (2020) - [j19]Neda Hajiakhoond Bidoki, Alexander V. Mantzaris, Gita Sukthankar:
Exploiting Weak Ties in Incomplete Network Datasets Using Simplified Graph Convolutional Neural Networks. Mach. Learn. Knowl. Extr. 2(2): 125-146 (2020) - [j18]Neda Hajiakhoond Bidoki, Madeline Schiappa, Gita Sukthankar, Ivan Garibay:
Modeling social coding dynamics with sampled historical data. Online Soc. Networks Media 16: 100070 (2020) - [j17]Vera A. Kazakova, Annie S. Wu, Gita Reese Sukthankar:
Respecializing swarms by forgetting reinforced thresholds. Swarm Intell. 14(3): 171-204 (2020) - [c89]Samaneh Saadat, Gita Sukthankar:
Contrast Motif Discovery in Minecraft. AIIDE 2020: 266-272 - [c88]Saif Alabachi, Gita Sukthankar, Rahul Sukthankar:
SelfieDroneStick: A Natural Interface for Quadcopter Photography. IROS 2020: 10684-10690 - [c87]Zerong Xi, Olivia B. Newton, Greg McGowin, Gita Sukthankar, Steve Fiore, Kevin Oden:
Predicting Student Flight Performance with Multimodal Features. SBP-BRiMS 2020: 277-287 - [c86]Samaneh Saadat, Gita Sukthankar:
Explaining Differences in Classes of Discrete Sequences. WI/IAT 2020: 129-136 - [c85]Samaneh Saadat, Olivia B. Newton, Gita Sukthankar, Stephen M. Fiore:
Analyzing the Productivity of GitHub Teams based on Formation Phase Activity. WI/IAT 2020: 169-176 - [c84]Vera A. Kazakova, Gita Reese Sukthankar:
Comparing Decentralized Ongoing Task Allocation. WI/IAT 2020: 405-410 - [e7]Amal El Fallah Seghrouchni, Gita Sukthankar, Bo An, Neil Yorke-Smith:
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS '20, Auckland, New Zealand, May 9-13, 2020. International Foundation for Autonomous Agents and Multiagent Systems 2020, ISBN 978-1-4503-7518-4 [contents] - [e6]Amal El Fallah Seghrouchni, Gita Sukthankar, Tie-Yan Liu, Maarten van Steen:
Companion of The 2020 Web Conference 2020, Taipei, Taiwan, April 20-24, 2020. ACM / IW3C2 2020, ISBN 978-1-4503-7024-0 [contents] - [i17]Ivan Garibay, Toktam A. Oghaz, Niloofar Yousefi, Ece C. Mutlu, Madeline Schiappa, Steven R. Scheinert, Georgios C. Anagnostopoulos, Christina Bouwens, Stephen M. Fiore, Alexander V. Mantzaris, John T. Murphy, William Rand, Anastasia Salter, Mel Stanfill, Gita Sukthankar, Nisha Baral, Gabriel Fair, Chathika Gunaratne, Neda Hajiakhoond Bidoki, Jasser Jasser, Chathura Jayalath, Olivia B. Newton, Samaneh Saadat, Chathurani Senevirathna, Rachel Winter, Xi Zhang:
Deep Agent: Studying the Dynamics of Information Spread and Evolution in Social Networks. CoRR abs/2003.11611 (2020) - [i16]Samaneh Saadat, Gita Sukthankar:
Explaining Differences in Classes of Discrete Sequences. CoRR abs/2011.03371 (2020) - [i15]Samaneh Saadat, Olivia B. Newton, Gita Sukthankar, Stephen M. Fiore:
Analyzing the Productivity of GitHub Teams based on Formation Phase Activity. CoRR abs/2011.03423 (2020) - [i14]Abduljaleel Al-Rubaye, Gita Sukthankar:
Scoring Popularity in GitHub. CoRR abs/2011.04865 (2020) - [i13]Ayesha Enayet, Gita Sukthankar:
A Transfer Learning Approach for Dialogue Act Classification of GitHub Issue Comments. CoRR abs/2011.04867 (2020) - [i12]Zerong Xi, Gita Sukthankar:
Leveraging the Variance of Return Sequences for Exploration Policy. CoRR abs/2011.08649 (2020)
2010 – 2019
- 2019
- [j16]Neda Hajiakhoond Bidoki, Alexander V. Mantzaris, Gita Sukthankar:
An LSTM Model for Predicting Cross-Platform Bursts of Social Media Activity. Inf. 10(12): 394 (2019) - [c83]Astrid Jackson, Brandon D. Northcutt, Gita Sukthankar:
The Benefits of Immersive Demonstrations for Teaching Robots. HRI 2019: 326-334 - [c82]Saif Alabachi, Gita Sukthankar, Rahul Sukthankar:
Customizing Object Detectors for Indoor Robots. ICRA 2019: 8318-8324 - [i11]Neda Hajiakhoond Bidoki, Gita Sukthankar, Heather Keathley, Ivan Garibay:
A Cross-Repository Model for Predicting Popularity in GitHub. CoRR abs/1902.05216 (2019) - [i10]Saif Alabachi, Gita Sukthankar, Rahul Sukthankar:
Customizing Object Detectors for Indoor Robots. CoRR abs/1902.10671 (2019) - [i9]Saif Alabachi, Gita Sukthankar, Rahul Sukthankar:
Selfie Drone Stick: A Natural Interface for Quadcopter Photography. CoRR abs/1909.06491 (2019) - 2018
- [c81]Saif Alabachi, Gita Sukthankar:
Intelligently Assisting Human-Guided Quadcopter Photography. FLAIRS 2018: 336-341 - [c80]Astrid Jackson, Brandon D. Northcutt, Gita Sukthankar:
The Benefits of Teaching Robots using VR Demonstrations. HRI (Companion) 2018: 129-130 - [c79]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 - [c78]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
- [c77]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 Mag. 37(4): 94-101 (2016) - [j14]Hamidreza Alvari, Alireza Hajibagheri, Gita Sukthankar, Kiran Lakkaraju:
Identifying community structures in dynamic networks. Soc. Netw. Anal. Min. 6(1): 77:1-77:13 (2016) - [c76]Alireza Hajibagheri, Gita Sukthankar, Kiran Lakkaraju:
A holistic approach for predicting links in coevolving multiplex networks. ASONAM 2016: 1079-1086 - [c75]Gita Sukthankar:
Social Modeling for Multi-agent Systems. CTS 2016: 454 - [c74]Rey Coaguila, Gita Reese Sukthankar, Rahul Sukthankar:
Selecting Vantage Points for an Autonomous Quadcopter Videographer. FLAIRS 2016: 386-391 - [c73]Astrid Jackson, Gita Sukthankar:
Learning Continuous State/Action Models for Humanoid Robots. FLAIRS 2016: 392-397 - [c72]Alireza Hajibagheri, Gita Sukthankar, Kiran Lakkaraju:
Leveraging Network Dynamics for Improved Link Prediction. SBP-BRiMS 2016: 142-151 - [c71]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 Bui:
Architectures for Activity Recognition and Context-Aware Computing. AI Mag. 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) - [c70]Rahmatollah Beheshti, Awrad Mohammed Ali, Gita Reese Sukthankar:
Cognitive Social Learners: An Architecture for Modeling Normative Behavior. AAAI 2015: 2017-2023 - [c69]Erfan Davami, Gita Sukthankar:
Improving the Performance of Mobile Phone Crowdsourcing Applications. AAMAS 2015: 145-153 - [c68]Rahmatollah Beheshti, Gita Sukthankar:
Modeling Tipping Point Theory using Normative Multi-agent Systems: (Extended Abstract). AAMAS 2015: 1731-1732 - [c67]Gita Sukthankar, Rahmatollah Beheshti:
Modeling implicit collaboration with normative agent architectures. CTS 2015: 489 - [c66]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 Mag. 35(2): 61-64 (2014) - [c65]Hamidreza Alvari, Alireza Hajibagheri, Gita Reese Sukthankar:
Community detection in dynamic social networks: A game-theoretic approach. ASONAM 2014: 101-107 - [c64]Syed Fahad Allam Shah, Gita Sukthankar:
Mining Social Interaction Data in Virtual Worlds. ARE/AVSA@AAMAS 2014: 86-105 - [c63]Rahmatollah Beheshti, Gita Sukthankar:
A normative agent-based model for predicting smoking cessation trends. AAMAS 2014: 557-564 - [c62]Erfan Davami, Gita Sukthankar:
Evaluating trust-based fusion models for participatory sensing applications. AAMAS 2014: 1377-1378 - [c61]Bennie Lewis, Gita Sukthankar:
Know thy user: Designing human-robot interaction paradigms for multi-robot manipulation. IROS 2014: 4362-4367 - [c60]Hamidreza Alvari, Kiran Lakkaraju, Gita Sukthankar, Jonathan Whetzel:
Predicting Guild Membership in Massively Multiplayer Online Games. SBP 2014: 215-222 - [p4]Xi Wang, Gita Sukthankar:
Link Prediction in Heterogeneous Collaboration Networks. Social Network Analysis 2014: 165-192 - [p3]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 O. 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 Mag. 34(1): 87-89 (2013) - [j9]Vikas Agrawal, Christopher Archibald, Mehul Bhatt, Hung Bui, Diane J. Cook, Juan Cortés, Christopher W. Geib, Vibhav Gogate, Hans W. Guesgen, Dietmar Jannach, Michael Johanson, Kristian Kersting, George Dimitri 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 Mag. 34(4): 9- (2013) - [j8]Jeremiah T. Folsom-Kovarik, Gita Sukthankar, Sae Lynne Schatz:
Tractable POMDP representations for intelligent tutoring systems. ACM Trans. Intell. Syst. Technol. 4(2): 29:1-29:22 (2013) - [c59]Mahsa Maghami, Gita Sukthankar:
Hierarchical influence maximization for advertising in multi-agent markets. ASONAM 2013: 21-27 - [c58]Alireza Hajibagheri, Ali Hamzeh, Gita Sukthankar:
Modeling information diffusion and community membership using stochastic optimization. ASONAM 2013: 175-182 - [c57]Xi Wang, Gita Sukthankar:
Link prediction in multi-relational collaboration networks. ASONAM 2013: 1445-1447 - [c56]Nicholas Bowen, Jonathan Todd, Gita Sukthankar:
Adjutant bot: An evaluation of unit micromanagement tactics. CIG 2013: 1-8 - [c55]Yuan Chang, Gita Reese Sukthankar:
Exploiting Key Events for Learning Interception Policies. FLAIRS 2013 - [c54]Rahmatollah Beheshti, Gita Sukthankar:
Analyzing Agent-Based Models Using Category Theory. IAT 2013: 280-286 - [c53]Bennie Lewis, Bulent Tastan, Gita Sukthankar:
An adjustable autonomy paradigm for adapting to expert-novice differences. IROS 2013: 1656-1662 - [c52]Xi Wang, Gita Sukthankar:
Multi-label relational neighbor classification using social context features. KDD 2013: 464-472 - [c51]Rahmatollah Beheshti, Gita Sukthankar:
Improving Markov Chain Monte Carlo Estimation with Agent-Based Models. SBP 2013: 495-502 - [p2]Liyue Zhao, Xi Wang, Gita Sukthankar:
Improving the Supervised Learning of Activity Classifiers for Human Motion Data. Human Behavior Recognition Technologies 2013: 282-303 - [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 L. 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 Singh, Siddharth Srivastava, Gita Sukthankar, David C. Uthus, Mary-Anne Williams:
Reports of the AAAI 2011 Conference Workshops. AI Mag. 33(1): 57-70 (2012) - [c50]Mahsa Maghami, Gita Sukthankar:
Identifying influential agents for advertising in multi-agent markets. AAMAS 2012: 687-694 - [c49]Bennie Lewis, Gita Sukthankar:
Configurable human-robot interaction for multi-robot manipulation tasks. AAMAS 2012: 1219-1220 - [c48]Mark O. Riedl, Gita Sukthankar:
Preface. AIIDE 2012 - [c47]Bulent Tastan, Yuan Chang, Gita Sukthankar:
Learning to intercept opponents in first person shooter games. CIG 2012: 100-107 - [c46]Jeremiah T. Folsom-Kovarik, Gita Sukthankar, Sae Lynne Schatz:
Integrating Learner Help Requests Using a POMDP in an Adaptive Training System. IAAI 2012: 2287-2292 - [c45]Liyue Zhao, Gita Sukthankar, Rahul Sukthankar:
Importance-weighted label prediction for active learning with noisy annotations. ICPR 2012: 3476-3479 - [c44]Erfan Davami, Gita Sukthankar:
Online Learning of User-Specific Destination Prediction Models. SocialInformatics 2012: 40-43 - [c43]Kirill Osipov, Gita Sukthankar:
Forming Effective Teams from Agents with Diverse Skill Sets. SocialInformatics 2012: 44-48 - [c42]Rahmatollah Beheshti, Gita Sukthankar:
Extracting Agent-Based Models of Human Transportation Patterns. SocialInformatics 2012: 157-164 - [e1]Mark O. 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 Mag. 32(1): 93-100 (2011) - [j5]Bulent Tastan, Gita Sukthankar:
Leveraging human behavior models to predict paths in indoor environments. Pervasive Mob. Comput. 7(3): 319-330 (2011) - [j4]Gita Sukthankar, Katia P. Sycara:
Activity Recognition for Dynamic Multi-Agent Teams. ACM Trans. Intell. Syst. Technol. 3(1): 18:1-18:24 (2011) - [c41]Liyue Zhao, Gita Sukthankar, Rahul Sukthankar:
Robust Active Learning Using Crowdsourced Annotations for Activity Recognition. Human Computation 2011 - [c40]Bulent Tastan, Gita Reese Sukthankar:
Learning Policies for First Person Shooter Games Using Inverse Reinforcement Learning. AIIDE 2011 - [c39]Xi Wang, Mahsa Maghami, Gita Sukthankar:
Leveraging Network Properties for Trust Evaluation in Multi-agent Systems. IAT 2011: 288-295 - [c38]Fahad Shah, Gita Reese Sukthankar:
Using Network Structure to Identify Groups in Virtual Worlds. ICWSM 2011 - [c37]Kennard R. Laviers, Gita Sukthankar:
A Real-Time Opponent Modeling System for Rush Football. IJCAI 2011: 2476-2481 - [c36]Bennie Lewis, Gita Sukthankar:
Two hands are better than one: Assisting users with multi-robot manipulation tasks. IROS 2011: 2590-2595 - [c35]Fahad Shah, Gita Sukthankar:
Constructing Social Networks from Unstructured Group Dialog in Virtual Worlds. SBP 2011: 180-187 - [c34]Mahsa Maghami, Gita Sukthankar:
An Agent-Based Simulation for Investigating the Impact of Stereotypes on Task-Oriented Group Formation. SBP 2011: 252-259 - [c33]Liyue Zhao, Gita Sukthankar, Rahul Sukthankar:
Incremental Relabeling for Active Learning with Noisy Crowdsourced Annotations. SocialCom/PASSAT 2011: 728-733 - [c32]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 Jr., 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 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 Mag. 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) - [c31]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 - [c30]Kennard R. Laviers, Gita Sukthankar:
A Monte Carlo Approach for Football Play Generation. AIIDE 2010 - [c29]Kennard R. Laviers, Gita Sukthankar:
Identifying and utilizing subgroup coordination patterns in team adversarial games. AAMAS 2010: 1409-1410 - [c28]Bennie Lewis, Bulent Tastan, Gita Sukthankar:
Improving multi-robot teleoperation by inferring operator distraction. AAMAS 2010: 1505-1506 - [c27]Rawad Al-Haddad, Gita Sukthankar:
A Psychologically-Inspired Agent for Iterative Prisoner's Dilemma. FLAIRS 2010 - [c26]Fahad Shah, Philip Bell, Gita Sukthankar:
A Destination Recommendation System for Virtual Worlds. FLAIRS 2010 - [c25]Liyue Zhao, Xi Wang, Gita Sukthankar, Rahul Sukthankar:
Motif Discovery and Feature Selection for CRF-based Activity Recognition. ICPR 2010: 3826-3829 - [c24]Fahad Shah, Gita Reese Sukthankar, Chris Usher:
Modeling Group Dynamics in Virtual Worlds. ICWSM 2010 - [c23]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
- [c22]Kennard R. Laviers, Gita Sukthankar, David W. Aha, Matthew Molineaux:
Improving Offensive Performance Through Opponent Modeling. AIIDE 2009 - [c21]Matthew Molineaux, David W. Aha, Gita Sukthankar:
Beating the Defense: Using Plan Recognition to Inform Learning Agents. FLAIRS 2009 - [c20]Fahad Shah, Philip Bell, Gita Sukthankar:
Identifying User Destinations in VirtualWorlds. FLAIRS 2009 - [c19]Bulent Tastan, Gita Sukthankar:
Exploiting human steering models for path prediction. FUSION 2009: 1722-1729 - [c18]David W. Aha, Matthew Molineaux, Gita Sukthankar:
Case-Based Reasoning in Transfer Learning. ICCBR 2009: 29-44 - [c17]Fahad Shah, Philip Bell, Gita Sukthankar:
Agent-Assisted Navigation for Virtual Worlds. IVA 2009: 543-544 - [c16]Liyue Zhao, Gita Sukthankar:
An active learning approach for segmenting human activity datasets. ACM Multimedia 2009: 765-768 - [p1]Gita Sukthankar, Katia P. Sycara, Joseph Andrew Giampapa, Christopher Burnett:
Communications for Agent-Based Human Team Support. Handbook of Research on Multi-Agent Systems 2009: 285-313 - 2008
- [c15]Gita Sukthankar, Katia P. Sycara:
Hypothesis Pruning and Ranking for Large Plan Recognition Problems. AAAI 2008: 998-1003 - [c14]John Reeder, Gita Sukthankar, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Intelligent Trading Agents for Massively Multi-player Game Economies. AIIDE 2008 - [c13]Gita Sukthankar, Katia P. Sycara:
Robust and efficient plan recognition for dynamic multi-agent teams. AAMAS (3) 2008: 1383-1388 - [c12]Joseph Andrew Giampapa, Katia P. Sycara, Gita Sukthankar:
Toward identifying process models in ad hoc and distributed teams. HuCom 2008: 55-62 - 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 Comput. 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]Gita Sukthankar:
Team-Aware Multirobot Strategy for Cooperative Path Clearing. AAAI/IAAI 2000: 1095
1990 – 1999
- 1999
- [c1]Onn Shehory, Katia P. Sycara, Gita Sukthankar, Vick Mukherjee:
Agent Aided Aircraft Maintenance. Agents 1999: 306-312
Coauthor Index
Katia P. Sycara
aka: Katia Sycara-Cyranski
aka: Katia Sycara-Cyranski
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