| AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias RKE Bellamy, K Dey, M Hind, SC Hoffman, S Houde, K Kannan, P Lohia, ... IBM Journal of Research and Development 63 (4/5), 4: 1-4: 15, 2019 | 1642 | 2019 |
| Black box fairness testing of machine learning models A Aggarwal, P Lohia, S Nagar, K Dey, D Saha Proceedings of the 2019 27th ACM joint meeting on european software …, 2019 | 190 | 2019 |
| Triggering actions on a user device based on biometrics of nearby individuals K Dey, H Lamba, S Nagar US Patent 9,361,442, 2016 | 175 | 2016 |
| Topical stance detection for Twitter: A two-phase LSTM model using attention K Dey, R Shrivastava, S Kaushik Advances in Information Retrieval: 40th European Conference on IR Research …, 2018 | 120 | 2018 |
| Learning cognitive features from gaze data for sentiment and sarcasm classification using convolutional neural network A Mishra, K Dey, P Bhattacharyya Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 116 | 2017 |
| A hitchhiker’s guide on distributed training of deep neural networks KS Chahal, MS Grover, K Dey, RR Shah Journal of Parallel and Distributed Computing 137, 65-76, 2020 | 80 | 2020 |
| Harnessing cognitive features for sarcasm detection A Mishra, D Kanojia, S Nagar, K Dey, P Bhattacharyya arXiv preprint arXiv:1701.05574, 2017 | 75 | 2017 |
| Large maximal cliques enumeration in sparse graphs N Modani, K Dey Proceedings of the 17th ACM conference on Information and knowledge …, 2008 | 71 | 2008 |
| Facilitating location of and interaction with a convenient communication device K Dey, S Nagar, R Vaculin US Patent 10,097,649, 2018 | 67 | 2018 |
| Twitter stance detection—A subjectivity and sentiment polarity inspired two-phase approach K Dey, R Shrivastava, S Kaushik 2017 IEEE international conference on data mining workshops (ICDMW), 365-372, 2017 | 65 | 2017 |
| Context-aware sarcasm detection using BERT A Baruah, K Das, F Barbhuiya, K Dey Proceedings of the Second Workshop on Figurative Language Processing, 83-87, 2020 | 64 | 2020 |
| Leveraging cognitive features for sentiment analysis A Mishra, D Kanojia, S Nagar, K Dey, P Bhattacharyya arXiv preprint arXiv:1701.05581, 2017 | 63 | 2017 |
| AI Fairness 360: an extensible toolkit for detecting RKE Bellamy, K Dey, M Hind, SC Hoffman, S Houde, K Kannan, P Lohia, ... Understanding, and Mitigating Unwanted Algorithmic Bias 2, 2018 | 53 | 2018 |
| Convolutional neural networks for ocular smartphone-based biometrics K Ahuja, R Islam, FA Barbhuiya, K Dey Pattern Recognition Letters 91, 17-26, 2017 | 53 | 2017 |
| A survey of modern object detection literature using deep learning KS Chahal, K Dey arXiv preprint arXiv:1808.07256, 2018 | 52 | 2018 |
| Effecting payments via mobile phones P De, K Dey, VV Mankar US Patent App. 13/689,251, 2014 | 52 | 2014 |
| Think your artificial intelligence software is fair? Think again RKE Bellamy, K Dey, M Hind, SC Hoffman, S Houde, K Kannan, P Lohia, ... IEEE Software 36 (4), 76-80, 2019 | 50 | 2019 |
| A paraphrase and semantic similarity detection system for user generated short-text content on microblogs K Dey, R Shrivastava, S Kaushik Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 50 | 2016 |
| Automated test generation to detect individual discrimination in AI models A Agarwal, P Lohia, S Nagar, K Dey, D Saha arXiv preprint arXiv:1809.03260, 2018 | 44 | 2018 |
| Eyespyvr: Interactive eye sensing using off-the-shelf, smartphone-based vr headsets K Ahuja, R Islam, V Parashar, K Dey, C Harrison, M Goel Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018 | 43 | 2018 |
