| 2024 | ICML | Interplay of ROC and Precision-Recall AUCs: Theoretical Limits and Practical Implications in Binary Classification. | Martin Mihelich, Franois Castagnos, Charles Dognin |
| 2022 | COLING | A Simple Log-based Loss Function for Ordinal Text Classification. | Franois Castagnos, Martin Mihelich, Charles Dognin |
| 2021 | Interspeech | Investigating Feature Selection and Explainability for COVID-19 Diagnostics from Cough Sounds. | Flvio vila, Amir H. Poorjam, Deepak Mittal, Charles Dognin, Ananya Muguli, Rohit Kumar, Srikanth Raj Chetupalli, Sriram Ganapathy, Maneesh Singh |
| 2020 | AISTATS | A Characterization of Mean Squared Error for Estimator with Bagging. | Martin Mihelich, Charles Dognin, Yan Shu, Michael Blot |
| 2020 | EMNLP | HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification. | Yichen Jiang, Shikha Bordia, Zheng Zhong, Charles Dognin, Maneesh Kumar Singh, Mohit Bansal |
| 2020 | Interspeech | Multiscale System for Alzheimer's Dementia Recognition Through Spontaneous Speech. | Erik Edwards, Charles Dognin, Bajibabu Bollepalli, Maneesh Kumar Singh |
| 2019 | EMNLP | Sampling Bias in Deep Active Classification: An Empirical Study. | Ameya Prabhu, Charles Dognin, Maneesh Singh |