| Plan Recognition as Planning Revisited S Sohrabi, AV Riabov, O Udrea IJCAI, 3258-3264, 2016 | 224 | 2016 |
| HTN planning with preferences S Sohrabi, JA Baier, SA McIlraith IJCAI, 2009 | 157* | 2009 |
| Representing and reasoning about preferences in requirements engineering S Liaskos, SA McIlraith, S Sohrabi, J Mylopoulos Requirements Engineering 16, 227-249, 2011 | 155 | 2011 |
| Preferred explanations: Theory and generation via planning S Sohrabi, J Baier, S McIlraith Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 261-267, 2011 | 129 | 2011 |
| Integrating preferences into goal models for requirements engineering S Liaskos, SA McIlraith, S Sohrabi, J Mylopoulos 2010 18th IEEE International Requirements Engineering Conference, 135-144, 2010 | 113 | 2010 |
| Web service composition via generic procedures and customizing user preferences S Sohrabi, N Prokoshyna, SA McIlraith International Semantic Web Conference, 597-611, 2006 | 93 | 2006 |
| Diagnosis as Planning Revisited. S Sohrabi, JA Baier, SA McIlraith KR, 2010 | 82 | 2010 |
| A novel iterative approach to top-k planning M Katz, S Sohrabi, O Udrea, D Winterer Proceedings of the International Conference on Automated Planning and …, 2018 | 78 | 2018 |
| Web service composition via the customization of Golog programs with user preferences S Sohrabi, N Prokoshyna, SA McIlraith Conceptual Modeling: Foundations and Applications: Essays in Honor of John …, 2009 | 68 | 2009 |
| An AI planning solution to scenario generation for enterprise risk management S Sohrabi, A Riabov, M Katz, O Udrea Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 65 | 2018 |
| Preference-based web service composition: A middle ground between execution and search S Sohrabi, SA McIlraith International Semantic Web Conference, 713-729, 2010 | 64 | 2010 |
| Answering Binary Causal Questions Through Large-Scale Text Mining: An Evaluation Using Cause-Effect Pairs from Human Experts. O Hassanzadeh, D Bhattacharjya, M Feblowitz, K Srinivas, M Perrone, ... IJCAI, 5003-5009, 2019 | 63 | 2019 |
| Delfi: Online planner selection for cost-optimal planning M Katz, S Sohrabi, H Samulowitz, S Sievers IPC-9 planner abstracts, 57-64, 2018 | 62 | 2018 |
| New algorithms for the top-k planning problem A Riabov, S Sohrabi, O Udrea Proceedings of the scheduling and planning applications workshop (spark) at …, 2014 | 58 | 2014 |
| Reshaping diverse planning M Katz, S Sohrabi Proceedings of the AAAI Conference on Artificial Intelligence 34 (06), 9892-9899, 2020 | 56 | 2020 |
| Deep Learning for Cost-Optimal Planning: Task-Dependent Planner Selection S Sievers, M Katz, S Sohrabi, H Samulowitz, P Ferber AAAI, 2019 | 49 | 2019 |
| Hypothesis exploration for malware detection using planning S Sohrabi, O Udrea, AV Riabov AAAI, 29, 2013 | 49 | 2013 |
| Optimizing web service composition while enforcing regulations S Sohrabi, SA McIlraith International semantic web conference, 601-617, 2009 | 48 | 2009 |
| Reinforcement learning for classical planning: Viewing heuristics as dense reward generators C Gehring, M Asai, R Chitnis, T Silver, L Kaelbling, S Sohrabi, M Katz Proceedings of the International Conference on Automated Planning and …, 2022 | 47 | 2022 |
| Top-quality planning: Finding practically useful sets of best plans M Katz, S Sohrabi, O Udrea Proceedings of the AAAI Conference on Artificial Intelligence 34 (06), 9900-9907, 2020 | 44 | 2020 |
Michael KatzPrincipal Research Staff Member, IBM Research AIVerified email at ibm.com
