| Fairness in clustering with multiple sensitive attributes SS Abraham, SS Sundaram arXiv preprint arXiv:1910.05113, 2019 | 51 | 2019 |
| Fair outlier detection P Deepak, SS Abraham 21th International Conference on Web Information Systems Engineering: WISE …, 2020 | 23 | 2020 |
| Representativity fairness in clustering SS Abraham arXiv preprint arXiv:2010.07054, 2020 | 13 | 2020 |
| Fairlof: fairness in outlier detection SS Abraham Data Science and Engineering 6 (4), 485-499, 2021 | 12 | 2021 |
| Clevr-math: A dataset for compositional language, visual and mathematical reasoning AD Lindström, SS Abraham arXiv preprint arXiv:2208.05358, 2022 | 8 | 2022 |
| Why are nlp models fumbling at elementary math? a survey of deep learning based word problem solvers SS Sundaram, S Gurajada, M Fisichella, SS Abraham arXiv preprint arXiv:2205.15683, 2022 | 7 | 2022 |
| Comparison of statistical and semantic similarity techniques for paraphrase identification SS Abraham, SM Idicula 2012 International Conference on Data Science & Engineering (ICDSE), 209-213, 2012 | 5 | 2012 |
| Semantic representation for age word problems with schemas SS Sundaram, SS Abraham New Generation Computing 37 (4), 429-452, 2019 | 4 | 2019 |
| Distributed Representations for Arithmetic Word Problems SS Sundaram, P Deepak, SS Abraham Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 9000-9007, 2020 | 3 | 2020 |
| Hybrid of qualitative and quantitative knowledge models for solving physics word problems SS Abraham, D Khemani The Twenty-Ninth International Flairs Conference, 2016 | 3 | 2016 |
| Solving simple arithmetic word problems precisely with schemas SS Sundaram, SS Abraham Recent Trends and Future Technology in Applied Intelligence: 31st …, 2018 | 2 | 2018 |
| REDAffectiveLM: Leveraging Affect Enriched Embedding and Transformer-based Neural Language Model for Readers' Emotion Detection A Kadan, MP Gangan, SS Abraham arXiv preprint arXiv:2301.08995, 2023 | 1 | 2023 |
| Compositional Generalization and Neuro-Symbolic Architectures SS Abraham, M Alirezaie Combining Learning and Reasoning: Programming Languages, Formalisms, and …, 2022 | 1 | 2022 |
| Fair Outlier Detection SS Abraham arXiv preprint arXiv:2005.09900, 2020 | 1 | 2020 |
| An ontology-based kinematics problem solver using qualitative and quantitative knowledge SS Abraham, SS Sundaram New Generation Computing 37 (4), 551-584, 2019 | 1 | 2019 |
| Combining qualitative and quantitative reasoning for solving kinematics word problems SS Abraham, SS Sundaram The Thirty-First International Flairs Conference, 2018 | 1 | 2018 |
| CLEVR-POC: Reasoning-Intensive Visual Question Answering in Partially Observable Environments SS Abraham, M Alirezaie, L De Raedt arXiv preprint arXiv:2403.03203, 2024 | | 2024 |
| Does a language model “understand” high school math? A survey of deep learning based word problem solvers SS Sundaram, S Gurajada, D Padmanabhan, SS Abraham, M Fisichella Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, e1534, 2024 | | 2024 |
| Span Detection for Kinematics Word Problems SS Abraham, D P, SS Sundaram International Conference on Neural Information Processing, 276-288, 2022 | | 2022 |
| Span Detection for Kinematics Word Problems S Sam Abraham, D Padmanabhan, S S Sundaram The 29th International Conference on Neural Information Processing (ICONIP …, 2022 | | 2022 |
Sowmya S SundaramPostdoctoral Research Scholar, Stanford School of Medicine, Palo Alto, California, United States ofVerified email at stanford.edu
