HoVer: A dataset for many-hop fact extraction and claim verification Y Jiang, S Bordia, Z Zhong, C Dognin, M Singh, M Bansal arXiv preprint arXiv:2011.03088, 2020 | 128 | 2020 |
Sampling Bias in Deep Active Classification: An Empirical Study A Prabhu, C Dognin, M Singh EMNLP 2019, 2019 | 66 | 2019 |
Multiscale System for Alzheimer’s Dementia Recognition through Spontaneous Speech E Edwards, C Dognin, B Bollepalli, M Singh INTERSPEECH 2020, 2020 | 46 | 2020 |
Investigating Feature Selection and Explainability for COVID-19 Diagnostics from Cough Sounds. F Avila, AH Poorjam, D Mittal, C Dognin, A Muguli, R Kumar, ... Interspeech 6, 4246-4250, 2021 | 10 | 2021 |
A characterization of mean squared error for estimator with bagging M Mihelich, C Dognin, Y Shu, M Blot AISTATS 2020, 2019 | 8 | 2019 |
A simple log-based loss function for ordinal text classification F Castagnos, M Mihelich, C Dognin Proceedings of the 29th International Conference on Computational …, 2022 | 7 | 2022 |
Machine Learning Systems and Methods for Evaluating Sampling Bias in Deep Active Classification A Prabhu, C Dognin, MK Singh US Patent App. 16/919,898, 2021 | 4 | 2021 |
Machine Learning Systems and Methods for Multiscale Alzheimer's Dementia Recognition Through Spontaneous Speech E Edwards, C Dognin, B Bollepalli, MK Singh US Patent App. 17/322,047, 2021 | 3 | 2021 |
Machine Learning Systems and Methods for Many-Hop Fact Extraction and Claim Verification Y Jiang, S Bordia, Z Zhong, C Dognin, MK Singh, M Bansal US Patent App. 17/534,899, 2022 | 2 | 2022 |
Machine learning systems and methods for interactive concept searching using attention scoring C Dognin, Z Yu, H Chen, S Bordia, A Nangpal US Patent 11,550,782, 2023 | | 2023 |
Interplay of ROC and Precision-Recall AUCs: Theoretical Limits and Practical Implications in Binary Classification M Mihelich, F Castagnos, C Dognin Forty-first International Conference on Machine Learning, 0 | | |