| Evidential deep learning to quantify classification uncertainty M Sensoy, L Kaplan, M Kandemir Advances in Neural Information Processing Systems (NeurIPS’18), 3179-3189, 2018 | 903 | 2018 |
| Interpretability of deep learning models: A survey of results S Chakraborty, R Tomsett, R Raghavendra, D Harborne, M Alzantot, ... 2017 IEEE smartworld, ubiquitous intelligence & computing, advanced …, 2017 | 505 | 2017 |
| Uncertainty-Aware Deep Classifiers using Generative Models M Sensoy, L Kaplan, F Cerutti, M Saleki The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), 2020 | 78 | 2020 |
| Poyraz: Context‐aware service selection under deception M Şensoy, J Zhang, P Yolum, R Cohen Computational Intelligence 25 (4), 335-366, 2009 | 71 | 2009 |
| OWL-POLAR: A framework for semantic policy representation and reasoning M Sensoy, TJ Norman, WW Vasconcelos, K Sycara Journal of Web Semantics 12, 148-160, 2012 | 68 | 2012 |
| Ontology-based service representation and selection M Sensoy, P Yolum IEEE Transactions on Knowledge and Data Engineering 19 (8), 1102-1115, 2007 | 53 | 2007 |
| Reputation mechanism for e-commerce in virtual reality environments H Fang, J Zhang, M Şensoy, N Magnenat-Thalmann Electronic Commerce Research and Applications 13 (6), 409-422, 2014 | 46 | 2014 |
| A context-aware approach for service selection using ontologies M Şensoy, P Yolum Proceedings of the fifth international joint conference on autonomous agents …, 2006 | 44 | 2006 |
| Reasoning about uncertain information and conflict resolution through trust revision M Şensoy, A Fokoue, JZ Pan, TJ Norman, Y Tang, N Oren, K Sycara International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2013 | 41 | 2013 |
| OWL-POLAR: Semantic policies for agent reasoning M Şensoy, TJ Norman, WW Vasconcelos, K Sycara The Semantic Web–ISWC 2010: 9th International Semantic Web Conference, ISWC …, 2010 | 35 | 2010 |
| Flexible resource assignment in sensor networks: A hybrid reasoning approach G de Mel, M Sensoy, W Vasconcelos, AD Preece | 32 | 2009 |
| Agilely assigning sensing assets to mission tasks in a coalition context A Preece, T Norman, G De Mel, D Pizzocaro, M Sensoy, T Pham IEEE Intelligent Systems 28 (1), 57-63, 2012 | 31 | 2012 |
| A generalized stereotypical trust model H Fang, J Zhang, M Sensoy, NM Thalmann 2012 IEEE 11th International Conference on Trust, Security and Privacy in …, 2012 | 31 | 2012 |
| Stage: Stereotypical trust assessment through graph extraction M Şensoy, B Yilmaz, TJ Norman Computational Intelligence 32 (1), 72-101, 2016 | 28 | 2016 |
| SARC: subjectivity alignment for reputation computation. H Fang, J Zhang, M Sensoy, N Magnenat-Thalmann AAMAS, 1365-1366, 2012 | 27 | 2012 |
| Experience-based service provider selection in agent-mediated E-Commerce M Şensoy, FC Pembe, H Zırtıloğlu, P Yolum, A Bener Engineering applications of artificial intelligence 20 (3), 325-335, 2007 | 27 | 2007 |
| Querying linked ontological data through distributed summarization A Fokoue, F Meneguzzi, M Sensoy, J Pan Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 31-37, 2012 | 26 | 2012 |
| Trust estimation and fusion of uncertain information by exploiting consistency L Kaplan, M Şensoy, G de Mel 17th International Conference on Information Fusion (FUSION), 1-8, 2014 | 24 | 2014 |
| Trust and obfuscation principles for quality of information in emerging pervasive environments C Bisdikian, M Sensoy, TJ Norman, MB Srivastava 2012 IEEE International Conference on Pervasive Computing and Communications …, 2012 | 23 | 2012 |
| Uncertainty aware AI ML: why and how L Kaplan, F Cerutti, M Sensoy, A Preece, P Sullivan arXiv preprint arXiv:1809.07882, 2018 | 22 | 2018 |
Lance KaplanArmy Research Laboratory在 mail.mil 的电子邮件经过验证
