Sampling Bias in Deep Active Classification: An Empirical Study. - Ameya Prabhu; Charles Dognin; Maneesh Singh 001 (EMNLP/IJCNLP (1), 2019)

A Characterization of Mean Squared Error for Estimator with Bagging. - Martin Mihelich; Charles Dognin; Yan Shu; Michael Blot (AISTATS, 2020)

HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification. - Yichen Jiang; Shikha Bordia; Zheng Zhong; Charles Dognin; Maneesh Kumar Singh 001; Mohit Bansal (EMNLP (Findings), 2020)

Multiscale System for Alzheimer's Dementia Recognition Through Spontaneous Speech. - Erik Edwards; Charles Dognin; Bajibabu Bollepalli; Maneesh Kumar Singh 001 (INTERSPEECH, 2020)

Investigating Feature Selection and Explainability for COVID-19 Diagnostics from Cough Sounds. - Flávio Ávila; Amir H. Poorjam; Deepak Mittal; Charles Dognin; Ananya Muguli; Rohit Kumar; Srikanth Raj Chetupalli; Sriram Ganapathy; Maneesh Singh 001 (Interspeech, 2021)

A Simple Log-based Loss Function for Ordinal Text Classification. - François Castagnos; Martin Mihelich; Charles Dognin (COLING, 2022)

Interplay of ROC and Precision-Recall AUCs: Theoretical Limits and Practical Implications in Binary Classification. - Martin Mihelich; François Castagnos; Charles Dognin (ICML, 2024)