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ORCIDJivko Sinapov
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2020 – today
- 2024
[j18]Shivam Goel, Panagiotis Lymperopoulos
, Ravenna Thielstrom, Evan A. Krause, Patrick Feeney, Pierrick Lorang, Sarah Schneider, Yichen Wei, Eric J. Kildebeck, Stephen A. Goss, Michael C. Hughes, Li-Ping Liu, Jivko Sinapov, Matthias Scheutz:
A neurosymbolic cognitive architecture framework for handling novelties in open worlds. Artif. Intell. 331: 104111 (2024)- [j17]Jivko Sinapov, Zhao Han, Shelly Bagchi, Muneeb Imtiaz Ahmad, Matteo Leonetti, Ross Mead, Reuth Mirsky, Emmanuel Senft:
Introduction to the Special Issue on Artificial Intelligence for Human-Robot Interaction (AI-HRI). ACM Trans. Hum. Robot Interact. 13(3): 34:1-34:3 (2024) - [c53]Shivam Goel, Yichen Wei, Panagiotis Lymperopoulos, Klára Churá, Matthias Scheutz, Jivko Sinapov:
NovelGym: A Flexible Ecosystem for Hybrid Planning and Learning Agents Designed for Open Worlds. AAMAS 2024: 688-696 - [c52]Yash Shukla, Wenchang Gao, Vasanth Sarathy, Alvaro Velasquez, Robert Wright, Jivko Sinapov:
LgTS: Dynamic Task Sampling using LLM-generated Sub-Goals for Reinforcement Learning Agents. AAMAS 2024: 1736-1744 - [c51]Yash Shukla, Tanushree Burman, Abhishek Kulkarni, Robert Wright, Alvaro Velasquez, Jivko Sinapov:
Logical Specifications-guided Dynamic Task Sampling for Reinforcement Learning Agents. ICAPS 2024: 532-540 - [c50]Gyan Tatiya, Jonathan Francis, Ho-Hsiang Wu, Yonatan Bisk, Jivko Sinapov:
MOSAIC: Learning Unified Multi-Sensory Object Property Representations for Robot Learning via Interactive Perception. ICRA 2024: 15381-15387 - [i27]Shivam Goel, Yichen Wei, Panagiotis Lymperopoulos, Matthias Scheutz, Jivko Sinapov:
NovelGym: A Flexible Ecosystem for Hybrid Planning and Learning Agents Designed for Open Worlds. CoRR abs/2401.03546 (2024) - [i26]Yash Shukla, Tanushree Burman, Abhishek Kulkarni, Robert Wright, Alvaro Velasquez, Jivko Sinapov:
Logical Specifications-guided Dynamic Task Sampling for Reinforcement Learning Agents. CoRR abs/2402.03678 (2024) - [i25]Casey Kennington, Malihe Alikhani, Heather Pon-Barry, Katherine Atwell, Yonatan Bisk, Daniel Fried, Felix Gervits, Zhao Han, Mert Inan, Michael Johnston, Raj Korpan, Diane J. Litman, Matthew Marge, Cynthia Matuszek, Ross Mead, Shiwali Mohan, Raymond J. Mooney, Natalie Parde, Jivko Sinapov, Angela Stewart, Matthew Stone, Stefanie Tellex, Tom Williams:
Dialogue with Robots: Proposals for Broadening Participation and Research in the SLIVAR Community. CoRR abs/2404.01158 (2024) - [i24]Lakshmi Nair, Evana Gizzi, Jivko Sinapov:
Creative Problem Solving in Large Language and Vision Models - What Would it Take? CoRR abs/2405.01453 (2024) - 2023
- [j16]Xiaohan Zhang, Saeid Amiri, Jivko Sinapov, Jesse Thomason, Peter Stone, Shiqi Zhang:
Multimodal embodied attribute learning by robots for object-centric action policies. Auton. Robots 47(5): 505-528 (2023) - [c49]Yash Shukla, Abhishek Kulkarni, Robert Wright, Alvaro Velasquez, Jivko Sinapov:
Automaton-Guided Curriculum Generation for Reinforcement Learning Agents. ICAPS 2023: 605-613 - [c48]Tung Thai, Mudit Verma, Utkarsh Soni, Sriram Gopalakrishnan, Ming Shen, Mayank Garg, Ayush Kalani, Nakul Vaidya, Neeraj Varshney, Chitta Baral, Subbarao Kambhampati, Jivko Sinapov, Matthias Scheutz:
Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments. AAMAS 2023: 2385-2387 - [c47]Andre Cleaver, Jivko Sinapov:
Demonstrating TRAinAR: An Augmented Reality Tool that Helps Humans Teach Robots. HRI (Companion) 2023: 878-880 - [c46]Gyan Tatiya, Jonathan Francis, Jivko Sinapov:
Transferring Implicit Knowledge of Non-Visual Object Properties Across Heterogeneous Robot Morphologies. ICRA 2023: 11315-11321 - [c45]Evana Gizzi, Lakshmi Nair, Sonia Chernova, Jivko Sinapov:
Creative Problem Solving in Artificially Intelligent Agents: A Survey and Framework (Extended Abstract). IJCAI 2023: 6890-6893 - [c44]Yash Shukla, Bharat Kesari, Shivam Goel, Robert Wright, Jivko Sinapov:
A Framework for Few-Shot Policy Transfer Through Observation Mapping and Behavior Cloning. IROS 2023: 7104-7110 - [i23]Tung Thai, Ming Shen, Mayank Garg, Ayush Kalani, Nakul Vaidya, Utkarsh Soni, Mudit Verma, Sriram Gopalakrishnan, Chitta Baral, Subbarao Kambhampati, Jivko Sinapov, Matthias Scheutz:
Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments. CoRR abs/2302.14208 (2023) - [i22]Gyan Tatiya, Jonathan Francis, Jivko Sinapov:
Cross-Tool and Cross-Behavior Perceptual Knowledge Transfer for Grounded Object Recognition. CoRR abs/2303.04023 (2023) - [i21]Yash Shukla, Abhishek Kulkarni, Robert Wright, Alvaro Velasquez, Jivko Sinapov:
Automaton-Guided Curriculum Generation for Reinforcement Learning Agents. CoRR abs/2304.05271 (2023) - [i20]Gyan Tatiya, Jonathan Francis, Ho-Hsiang Wu, Yonatan Bisk, Jivko Sinapov:
MOSAIC: Learning Unified Multi-Sensory Object Property Representations for Robot Perception. CoRR abs/2309.08508 (2023) - [i19]Yash Shukla, Bharat Kesari, Shivam Goel, Robert Wright, Jivko Sinapov:
A Framework for Few-Shot Policy Transfer through Observation Mapping and Behavior Cloning. CoRR abs/2310.08836 (2023) - [i18]Yash Shukla, Wenchang Gao, Vasanth Sarathy, Alvaro Velasquez, Robert Wright, Jivko Sinapov:
LgTS: Dynamic Task Sampling using LLM-generated sub-goals for Reinforcement Learning Agents. CoRR abs/2310.09454 (2023) - 2022
- [j15]Evana Gizzi, Lakshmi Nair, Sonia Chernova, Jivko Sinapov:
Creative Problem Solving in Artificially Intelligent Agents: A Survey and Framework. J. Artif. Intell. Res. 75 (2022) - [c43]Yash Shukla, Christopher Thierauf, Ramtin Hosseini, Gyan Tatiya, Jivko Sinapov:
ACuTE: Automatic Curriculum Transfer from Simple to Complex Environments. AAMAS 2022: 1192-1200 - [c42]Evana Gizzi, Wo Wei Lin, Mateo Guaman Castro, Ethan Harvey, Jivko Sinapov:
Toward Life-Long Creative Problem Solving: Using World Models for Increased Performance in Novelty Resolution. ICCC 2022: 121-125 - [c41]Shivam Goel, Yash Shukla, Vasanth Sarathy, Matthias Scheutz, Jivko Sinapov:
RAPid-Learn: A Framework for Learning to Recover for Handling Novelties in Open-World Environments. ICDL 2022: 15-22 - [i17]Yash Shukla, Christopher Thierauf, Ramtin Hosseini, Gyan Tatiya, Jivko Sinapov:
ACuTE: Automatic Curriculum Transfer from Simple to Complex Environments. CoRR abs/2204.04823 (2022) - [i16]Evana Gizzi, Lakshmi Nair, Sonia Chernova, Jivko Sinapov:
Creative Problem Solving in Artificially Intelligent Agents: A Survey and Framework. CoRR abs/2204.10358 (2022) - [i15]Shivam Goel, Yash Shukla, Vasanth Sarathy, Matthias Scheutz, Jivko Sinapov:
RAPid-Learn: A Framework for Learning to Recover for Handling Novelties in Open-World Environments. CoRR abs/2206.12493 (2022) - [i14]Gyan Tatiya, Jonathan Francis, Jivko Sinapov:
Transferring Implicit Knowledge of Non-Visual Object Properties Across Heterogeneous Robot Morphologies. CoRR abs/2209.06890 (2022) - [i13]Gyan Tatiya, Jonathan Francis, Luca Bondi, Ingrid Navarro, Eric Nyberg, Jivko Sinapov, Jean Oh:
Knowledge-driven Scene Priors for Semantic Audio-Visual Embodied Navigation. CoRR abs/2212.11345 (2022) - 2021
- [c40]Muhammad Faizan, Vasanth Sarathy, Gyan Tatiya, Shivam Goel, Saurav Gyawali, Mateo Guaman Castro, Jivko Sinapov, Matthias Scheutz:
A Novelty-Centric Agent Architecture for Changing Worlds. AAMAS 2021: 925-933 - [c39]Vasanth Sarathy, Daniel Kasenberg, Shivam Goel, Jivko Sinapov, Matthias Scheutz:
SPOTTER: Extending Symbolic Planning Operators through Targeted Reinforcement Learning. AAMAS 2021: 1118-1126 - [c38]Andre Cleaver, Darren Vincent Tang, Victoria Chen, Elaine Schaertl Short, Jivko Sinapov:
Dynamic Path Visualization for Human-Robot Collaboration. HRI (Companion) 2021: 339-343 - [c37]Evana Gizzi, Hassan Amel, Wo Wei Lin, Keenan Rhea, Jivko Sinapov:
Toward Creative Problem Solving Agents: Action Discovery through Behavior Babbling. ICDL 2021: 1-7 - [c36]Xiaohui Chen, Ramtin Hosseini, Karen Panetta, Jivko Sinapov:
A Framework for Multisensory Foresight for Embodied Agents. ICRA 2021: 10927-10933 - [c35]Ziyi Zhang, Sara Willner-Giwerc, Jivko Sinapov, Jennifer L. Cross, Chris Rogers:
An Interactive Robot Platform for Introducing Reinforcement Learning to K-12 Students. RiE 2021: 288-301 - [c34]Xiaohan Zhang, Jivko Sinapov, Shiqi Zhang:
Planning Multimodal Exploratory Actions for Online Robot Attribute Learning. Robotics: Science and Systems 2021 - [i12]Xiaohan Zhang, Jivko Sinapov, Shiqi Zhang:
Planning Multimodal Exploratory Actions for Online Robot Attribute Learning. CoRR abs/2106.03029 (2021) - [i11]Xiaohui Chen, Ramtin Hosseini, Karen Panetta, Jivko Sinapov:
A Framework for Multisensory Foresight for Embodied Agents. CoRR abs/2109.07561 (2021) - [i10]Reuth Mirsky, Megan Zimmerman, Muneed Ahmad, Shelly Bagchi, Felix Gervits, Zhao Han, Justin W. Hart, Daniel Hernández García, Matteo Leonetti, Ross Mead, Emmanuel Senft, Jivko Sinapov, Jason R. Wilson:
AI-HRI 2021 Proceedings. CoRR abs/2109.10836 (2021) - [i9]Ziyi Zhang, Samuel Micah Akai-Nettey, Adonai Addo, Chris Rogers, Jivko Sinapov:
An Augmented Reality Platform for Introducing Reinforcement Learning to K-12 Students with Robots. CoRR abs/2110.04697 (2021) - 2020
- [j14]Gyan Tatiya, Ramtin Hosseini, Michael C. Hughes, Jivko Sinapov:
A Framework for Sensorimotor Cross-Perception and Cross-Behavior Knowledge Transfer for Object Categorization. Frontiers Robotics AI 7: 522141 (2020) - [j13]Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin W. Hart, Peter Stone, Raymond J. Mooney:
Jointly Improving Parsing and Perception for Natural Language Commands through Human-Robot Dialog. J. Artif. Intell. Res. 67: 327-374 (2020) - [j12]Sanmit Narvekar, Bei Peng, Matteo Leonetti, Jivko Sinapov, Matthew E. Taylor, Peter Stone:
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey. J. Mach. Learn. Res. 21: 181:1-181:50 (2020) - [c33]Evana Gizzi, Lakshmi Nair, Jivko Sinapov, Sonia Chernova:
From Computational Creativity to Creative Problem Solving Agents. ICCC 2020: 370-373 - [c32]Gyan Tatiya, Yash Shukla, Michael Edegware, Jivko Sinapov:
Haptic Knowledge Transfer Between Heterogeneous Robots using Kernel Manifold Alignment. IROS 2020: 5358-5363 - [i8]Sanmit Narvekar, Bei Peng, Matteo Leonetti, Jivko Sinapov, Matthew E. Taylor, Peter Stone:
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey. CoRR abs/2003.04960 (2020) - [i7]Shelly Bagchi, Jason R. Wilson, Muneeb Imtiaz Ahmad, Christian Dondrup, Zhao Han, Justin W. Hart, Matteo Leonetti, Katrin S. Lohan, Ross Mead, Emmanuel Senft, Jivko Sinapov, Megan L. Zimmerman:
Proceedings of the AI-HRI Symposium at AAAI-FSS 2020. CoRR abs/2010.13830 (2020) - [i6]Andre Cleaver, Darren Tang, Victoria Chen, Jivko Sinapov:
HAVEN: A Unity-based Virtual Robot Environment to Showcase HRI-based Augmented Reality. CoRR abs/2011.03464 (2020) - [i5]Andre Cleaver, Muhammad Faizan, Hassan Amel, Elaine Short, Jivko Sinapov:
SENSAR: A Visual Tool for Intelligent Robots for Collaborative Human-Robot Interaction. CoRR abs/2011.04515 (2020) - [i4]Vasanth Sarathy, Daniel Kasenberg, Shivam Goel, Jivko Sinapov, Matthias Scheutz:
SPOTTER: Extending Symbolic Planning Operators through Targeted Reinforcement Learning. CoRR abs/2012.13037 (2020)
2010 – 2019
- 2019
- [c31]Muhammad Faizan, Hassan Amel, Andre Cleaver, Jivko Sinapov:
Creating a Shared Reality with Robots. HRI 2019: 614-615 - [c30]Gyan Tatiya, Ramtin Hosseini, Michael C. Hughes, Jivko Sinapov:
Sensorimotor Cross-Behavior Knowledge Transfer for Grounded Category Recognition. ICDL-EPIROB 2019: 1-6 - [c29]Evana Gizzi, Mateo Guaman Castro, Jivko Sinapov:
Creative Problem Solving by Robots Using Action Primitive Discovery. ICDL-EPIROB 2019: 228-233 - [c28]Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin W. Hart, Peter Stone, Raymond J. Mooney:
Improving Grounded Natural Language Understanding through Human-Robot Dialog. ICRA 2019: 6934-6941 - [c27]Gyan Tatiya, Jivko Sinapov:
Deep Multi-Sensory Object Category Recognition Using Interactive Behavioral Exploration. ICRA 2019: 7872-7878 - [i3]Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin W. Hart, Peter Stone, Raymond J. Mooney:
Improving Grounded Natural Language Understanding through Human-Robot Dialog. CoRR abs/1903.00122 (2019) - [i2]Justin W. Hart, Nick DePalma, Richard G. Freedman, Luca Iocchi, Matteo Leonetti, Katrin S. Lohan, Ross Mead, Emmanuel Senft, Jivko Sinapov, Elin Anna Topp, Tom Williams:
Proceedings of the AI-HRI Symposium at AAAI-FSS 2019. CoRR abs/1909.04812 (2019) - 2018
- [c26]Jesse Thomason, Jivko Sinapov, Raymond J. Mooney, Peter Stone:
Guiding Exploratory Behaviors for Multi-Modal Grounding of Linguistic Descriptions. AAAI 2018: 5520-5527 - [c25]Saeid Amiri, Suhua Wei, Shiqi Zhang, Jivko Sinapov, Jesse Thomason, Peter Stone:
Robot Behavioral Exploration and Multi-modal Perception using Dynamically Constructed Controllers. AAAI Spring Symposia 2018 - [c24]Evana Gizzi, Lisa Le Vie, Matthias Scheutz, Vasanth Sarathy, Jivko Sinapov:
A Generalized Framework for Detecting Anomalies in Real-Time Using Contextual Information. MRC@IJCAI 2018: 1-7 - [c23]Saeid Amiri, Suhua Wei, Shiqi Zhang, Jivko Sinapov, Jesse Thomason, Peter Stone:
Multi-modal Predicate Identification using Dynamically Learned Robot Controllers. IJCAI 2018: 4638-4645 - [c22]Rolando Fernandez, Nathan John, Sean Kirmani, Justin W. Hart, Jivko Sinapov, Peter Stone:
Passive Demonstrations of Light-Based Robot Signals for Improved Human Interpretability. RO-MAN 2018: 234-239 - [i1]Justin W. Hart, Harel Yedidsion, Yuqian Jiang, Nick Walker, Rishi Shah, Jesse Thomason, Aishwarya Padmakumar, Rolando Fernandez, Jivko Sinapov, Raymond J. Mooney, Peter Stone:
Interaction and Autonomy in RoboCup@Home and Building-Wide Intelligence. CoRR abs/1810.02919 (2018) - 2017
- [j11]Jeannette Bohg, Xavier Boix, Nancy Chang, Elizabeth F. Churchill, Vivian Chu, Fei Fang, Jerome Feldman, Avelino J. Gonzalez, Takashi Kido, William F. Lawless, José L. Montaña, Santiago Ontañón, Jivko Sinapov, Donald A. Sofge, Luc Steels, Molly Wright Steenson, Keiki Takadama, Amulya Yadav:
Reports on the 2017 AAAI Spring Symposium Series. AI Mag. 38(4): 99-106 (2017) - [j10]Piyush Khandelwal, Shiqi Zhang, Jivko Sinapov, Matteo Leonetti, Jesse Thomason, Fangkai Yang, Ilaria Gori, Maxwell Svetlik, Priyanka Khante, Vladimir Lifschitz, J. K. Aggarwal, Raymond J. Mooney, Peter Stone:
BWIBots: A platform for bridging the gap between AI and human-robot interaction research. Int. J. Robotics Res. 36(5-7): 635-659 (2017) - [c21]Maxwell Svetlik, Matteo Leonetti, Jivko Sinapov, Rishi Shah, Nick Walker, Peter Stone:
Automatic Curriculum Graph Generation for Reinforcement Learning Agents. AAAI 2017: 2590-2596 - [c20]Jesse Thomason, Jivko Sinapov, Raymond J. Mooney:
Guiding Interaction Behaviors for Multi-modal Grounded Language Learning. RoboNLP@ACL 2017: 20-24 - [c19]Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Justin W. Hart, Peter Stone, Raymond J. Mooney:
Opportunistic Active Learning for Grounding Natural Language Descriptions. CoRL 2017: 67-76 - [c18]Santiago Gonzalez, Vijay Chidambaram, Jivko Sinapov, Peter Stone:
CC-Log: Drastically Reducing Storage Requirements for Robots Using Classification and Compression. HotStorage 2017 - [c17]Sanmit Narvekar, Jivko Sinapov, Peter Stone:
Autonomous Task Sequencing for Customized Curriculum Design in Reinforcement Learning. IJCAI 2017: 2536-2542 - 2016
- [c16]Sanmit Narvekar, Jivko Sinapov, Matteo Leonetti, Peter Stone:
Source Task Creation for Curriculum Learning. AAMAS 2016: 566-574 - [c15]Jivko Sinapov, Priyanka Khante, Maxwell Svetlik, Peter Stone:
Learning to Order Objects Using Haptic and Proprioceptive Exploratory Behaviors. IJCAI 2016: 3462-3468 - [c14]Jesse Thomason, Jivko Sinapov, Maxwell Svetlik, Peter Stone, Raymond J. Mooney:
Learning Multi-Modal Grounded Linguistic Semantics by Playing "I Spy". IJCAI 2016: 3477-3483 - 2015
- [j9]Stephen Blessing, Shrenik Devasani, Stephen B. Gilbert, Jivko Sinapov:
Using ConceptGrid as an easy authoring technique to check natural language responses. Int. J. Learn. Technol. 10(1): 50-70 (2015) - [c13]Jivko Sinapov, Sanmit Narvekar, Matteo Leonetti, Peter Stone:
Learning Inter-Task Transferability in the Absence of Target Task Samples. AAMAS 2015: 725-733 - [c12]Ilaria Gori, Jivko Sinapov, Priyanka Khante, Peter Stone, J. K. Aggarwal:
Robot-Centric Activity Recognition 'in the Wild'. ICSR 2015: 224-234 - 2014
- [j8]Jivko Sinapov, Connor Schenck, Kerrick Staley, Vladimir Sukhoy, Alexander Stoytchev:
Grounding semantic categories in behavioral interactions: Experiments with 100 objects. Robotics Auton. Syst. 62(5): 632-645 (2014) - [j7]Heiko Hoffmann, Zhichao Chen, Darren Earl, Derek Mitchell, Behnam Salemi, Jivko Sinapov:
Adaptive robotic tool use under variable grasps. Robotics Auton. Syst. 62(6): 833-846 (2014) - [j6]Connor Schenck, Jivko Sinapov, David Johnston, Alexander Stoytchev:
Which Object Fits Best? Solving Matrix Completion Tasks with a Humanoid Robot. IEEE Trans. Auton. Ment. Dev. 6(3): 226-240 (2014) - [c11]Jivko Sinapov, Connor Schenck, Alexander Stoytchev:
Learning relational object categories using behavioral exploration and multimodal perception. ICRA 2014: 5691-5698 - 2013
- [c10]Jivko Sinapov, Alexander Stoytchev:
Grounded object individuation by a humanoid robot. ICRA 2013: 4981-4988 - 2012
- [j5]Shane Griffith, Jivko Sinapov, Vladimir Sukhoy, Alexander Stoytchev:
A Behavior-Grounded Approach to Forming Object Categories: Separating Containers From Noncontainers. IEEE Trans. Auton. Ment. Dev. 4(1): 54-69 (2012) - 2011
- [j4]Jivko Sinapov, Taylor Bergquist, Connor Schenck, Ugonna Ohiri, Shane Griffith, Alexander Stoytchev:
Interactive object recognition using proprioceptive and auditory feedback. Int. J. Robotics Res. 30(10): 1250-1262 (2011) - [j3]Jivko Sinapov, Vladimir Sukhoy, Ritika Sahai, Alexander Stoytchev:
Vibrotactile Recognition and Categorization of Surfaces by a Humanoid Robot. IEEE Trans. Robotics 27(3): 488-497 (2011) - [c9]Jivko Sinapov, Alexander Stoytchev:
Object category recognition by a humanoid robot using behavior-grounded relational learning. ICRA 2011: 184-190 - 2010
- [c8]Jivko Sinapov, Alexander Stoytchev:
The Boosting Effect of Exploratory Behaviors. AAAI 2010: 1613-1618 - [c7]Jivko Sinapov, Alexander Stoytchev:
The odd one out task: Toward an intelligence test for robots. ICDL 2010: 126-131 - [c6]Vladimir Sukhoy, Jivko Sinapov, Liping Wu, Alexander Stoytchev:
Learning to press doorbell buttons. ICDL 2010: 132-139 - [c5]Shane Griffith, Jivko Sinapov, Vladimir Sukhoy, Alexander Stoytchev:
How to separate containers from non-containers? a behavior-grounded approach to acoustic object categorization. ICRA 2010: 1852-1859
2000 – 2009
- 2009
- [j2]Cornelia Caragea, Jivko Sinapov, Drena Dobbs, Vasant G. Honavar:
Mixture of experts models to exploit global sequence similarity on biomolecular sequence labeling. BMC Bioinform. 10(S-4) (2009) - [c4]Jivko Sinapov, Mark Wiemer, Alexander Stoytchev:
Interactive learning of the acoustic properties of household objects. ICRA 2009: 2518-2524 - 2008
- [c3]Jivko Sinapov, Alexander Stoytchev:
Toward Autonomous Learning of an Ontology of Tool Affordances by a Robot. AAAI 2008: 1828-1829 - [c2]Cornelia Caragea, Jivko Sinapov, Drena Dobbs, Vasant G. Honavar:
Using Global Sequence Similarity to Enhance Biological Sequence Labeling. BIBM 2008: 104-111 - 2007
- [j1]Cornelia Caragea, Jivko Sinapov, Adrian Silvescu, Drena Dobbs, Vasant G. Honavar:
Glycosylation site prediction using ensembles of Support Vector Machine classifiers. BMC Bioinform. 8 (2007) - [c1]Cornelia Caragea, Jivko Sinapov, Vasant G. Honavar, Drena Dobbs:
Assessing the Performance of Macromolecular Sequence Classifiers. BIBE 2007: 320-326
Coauthor Index
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