| A survey of the state of explainable AI for natural language processing M Danilevsky, K Qian, R Aharonov, Y Katsis, B Kawas, P Sen arXiv preprint arXiv:2010.00711, 2020 | 378 | 2020 |
| A log-robust optimization approach to portfolio management B Kawas, A Thiele OR Spectrum 33 (1), 207-233, 2011 | 47 | 2011 |
| RAAM: The benefits of robustness in approximating aggregated MDPs in reinforcement learning M Petrik, D Subramanian Advances in Neural Information Processing Systems 27, 2014 | 43 | 2014 |
| Prescriptive analytics for allocating sales teams to opportunities B Kawas, MS Squillante, D Subramanian, KR Varshney 2013 IEEE 13th International Conference on Data Mining Workshops, 211-218, 2013 | 43 | 2013 |
| Facilitating knowledge sharing from domain experts to data scientists for building nlp models S Park, AY Wang, B Kawas, QV Liao, D Piorkowski, M Danilevsky 26th International Conference on Intelligent User Interfaces, 585-596, 2021 | 41 | 2021 |
| Learning to query, reason, and answer questions on ambiguous texts X Guo, T Klinger, C Rosenbaum, JP Bigus, M Campbell, B Kawas, ... International Conference on Learning Representations, 2022 | 29 | 2022 |
| Monitoring the microbiome for food safety and quality using deep shotgun sequencing KL Beck, N Haiminen, D Chambliss, S Edlund, M Kunitomi, BC Huang, ... npj Science of Food 5 (1), 3, 2021 | 26 | 2021 |
| XNLP: A living survey for XAI research in natural language processing K Qian, M Danilevsky, Y Katsis, B Kawas, E Oduor, L Popa, Y Li 26th International Conference on Intelligent User Interfaces-Companion, 78-80, 2021 | 23 | 2021 |
| DNA extraction and host depletion methods significantly impact and potentially bias bacterial detection in a biological fluid E Ganda, KL Beck, N Haiminen, JD Silverman, B Kawas, BD Cronk, ... Msystems 6 (3), 10.1128/msystems. 00619-21, 2021 | 22 | 2021 |
| Short sales in log-robust portfolio management B Kawas, A Thiele European journal of operational research 215 (3), 651-661, 2011 | 15 | 2011 |
| TADA: phylogenetic augmentation of microbiome samples enhances phenotype classification E Sayyari, B Kawas, S Mirarab Bioinformatics 35 (14), i31-i40, 2019 | 10 | 2019 |
| Distribution shaping and scenario bundling for stochastic programs with endogenous uncertainty M Laumanns, S Prestwich, B Kawas Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät …, 2014 | 10 | 2014 |
| A survey of the state of explainable AI for natural language processing. arXiv M Danilevsky, K Qian, R Aharonov, Y Katsis, B Kawas, P Sen arXiv preprint arXiv:2010.00711, 2020 | 9 | 2020 |
| Autotext: An end-to-end autoai framework for text A Chaudhary, A Issak, K Kate, Y Katsis, A Valente, D Wang, A Evfimievski, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 16001 …, 2021 | 8 | 2021 |
| Electronic revenue managment for transportation networks M Laumanns, O Gallay, J Szabó, BHK Kawas, S Wörner, J Koehl US Patent App. 14/023,010, 2014 | 7 | 2014 |
| Value interchangeability in scenario generation SD Prestwich, M Laumanns, B Kawas International Conference on Principles and Practice of Constraint …, 2013 | 7 | 2013 |
| Log-robust portfolio management with parameter ambiguity B Kawas, A Thiele Computational Management Science 14, 229-256, 2017 | 6 | 2017 |
| Unified framework and toolkit for commerce optimization under uncertainty B Kawas, A Koc, M Laumanns, C Lee, R Marinescu, M Mevissen, ... IBM Journal of Research and Development 58 (5/6), 12: 1-12: 13, 2014 | 6 | 2014 |
| A robust optimization approach to enhancing reliability in production planning under non-compliance risks B Kawas, M Laumanns, E Pratsini OR spectrum 35, 835-865, 2013 | 6 | 2013 |
| Robust partially-compressed least-squares S Becker, B Kawas, M Petrik Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 5 | 2017 |
Marina DanilevskyIBM ResearchVerified email at us.ibm.com
