Damien Dablain

3 papers and 184 indexed citations i.

Damien Dablain is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial relations. According to data from OpenAlex, Damien Dablain has authored 3 papers receiving a total of 184 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 0 papers in Industrial relations. Recurrent topics in Damien Dablain’s work include Imbalanced Data Classification Techniques (3 papers), Anomaly Detection Techniques and Applications (2 papers) and Domain Adaptation and Few-Shot Learning (1 paper). Damien Dablain is often cited by papers focused on Imbalanced Data Classification Techniques (3 papers), Anomaly Detection Techniques and Applications (2 papers) and Domain Adaptation and Few-Shot Learning (1 paper). Damien Dablain collaborates with scholars based in United States and Canada. Damien Dablain's co-authors include Nitesh V. Chawla, Bartosz Krawczyk, Mark Roberts, Colin Bellinger and David W. Aha and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems and Machine Learning.