| Plan Recognition as Planning Revisited S Sohrabi, AV Riabov, O Udrea IJCAI, 3258-3264, 2016 | 202 | 2016 |
| HTN planning with preferences S Sohrabi, JA Baier, SA McIlraith IJCAI, 2009 | 153* | 2009 |
| Representing and reasoning about preferences in requirements engineering S Liaskos, SA McIlraith, S Sohrabi, J Mylopoulos Requirements Engineering 16, 227-249, 2011 | 148 | 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 | 123 | 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 | 109 | 2010 |
| Web service composition via generic procedures and customizing user preferences S Sohrabi, N Prokoshyna, SA McIlraith International Semantic Web Conference, 597-611, 2006 | 90 | 2006 |
| Diagnosis as planning revisited S Sohrabi, JA Baier, SA McIlraith Twelfth International Conference on the Principles of Knowledge …, 2010 | 81 | 2010 |
| Preference-based web service composition: A middle ground between execution and search S Sohrabi, SA McIlraith International Semantic Web Conference, 713-729, 2010 | 63 | 2010 |
| 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 | 63 | 2009 |
| 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 | 61 | 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 | 54 | 2014 |
| Delfi: Online planner selection for cost-optimal planning M Katz, S Sohrabi, H Samulowitz, S Sievers IPC-9 planner abstracts, 57-64, 2018 | 53 | 2018 |
| 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 | 47 | 2018 |
| Optimizing web service composition while enforcing regulations S Sohrabi, SA McIlraith International semantic web conference, 601-617, 2009 | 47 | 2009 |
| Deep Learning for Cost-Optimal Planning: Task-Dependent Planner Selection S Sievers, M Katz, S Sohrabi, H Samulowitz, P Ferber AAAI, 2019 | 46 | 2019 |
| 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 | 45 | 2019 |
| Hypothesis exploration for malware detection using planning S Sohrabi, O Udrea, AV Riabov AAAI, 29, 2013 | 45 | 2013 |
| Reshaping diverse planning M Katz, S Sohrabi Proceedings of the AAAI Conference on Artificial Intelligence 34 (06), 9892-9899, 2020 | 36 | 2020 |
| Finding diverse high-quality plans for hypothesis generation S Sohrabi, AV Riabov, O Udrea, O Hassanzadeh ECAI 2016, 1581-1582, 2016 | 36 | 2016 |
| 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 | 31 | 2020 |
Octavian UdreaDataminrVerified email at dataminr.com
