Charles Dognin

According to our database, Charles Dognin authored at least 7 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Interplay of ROC and Precision-Recall AUCs: Theoretical Limits and Practical Implications in Binary Classification.

Martin Mihelich, François Castagnos, Charles Dognin

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2022

A Simple Log-based Loss Function for Ordinal Text Classification.

François Castagnos, Martin Mihelich, Charles Dognin

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

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

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2020

Multiscale System for Alzheimer's Dementia Recognition Through Spontaneous Speech.

Erik Edwards, Charles Dognin, Bajibabu Bollepalli, Maneesh Kumar Singh

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification.

Yichen Jiang, Shikha Bordia, Zheng Zhong, Charles Dognin, Maneesh Kumar Singh, Mohit Bansal

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

A Characterization of Mean Squared Error for Estimator with Bagging.

Martin Mihelich, Charles Dognin, Yan Shu, Michael Blot

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Sampling Bias in Deep Active Classification: An Empirical Study.

Ameya Prabhu, Charles Dognin, Maneesh Singh

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019