June 01, 2019 conference-paper Class-Balanced Loss Based on Effective Number of Samples IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings DOI: 10.1109/cvpr.2019.00949 OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 2,864 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Deconstructing deep imbalanced regression: a comprehensive review and experimental evaluation 2026 Artificial Intelligence Review article Computer Science Imbalanced Data Classification Techniques Open access 1 citations AutoSourceID-Classifier. Star-Galaxy Classification using a Convolutional Neural Network with Spatial Information 2023 arXiv (Cornell University) preprint Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access 1 citations Assessment of Parkinson’s Disease Severity From Videos Using Deep Architectures 2021 IEEE Journal of Biomedical and Health Informatics article Computer Science Human Pose and Action Recognition Open access 33 citations The Unreasonable Effectiveness of the Final Batch Normalization Layer 2021 Lecture notes in computer science conference-paper Computer Science Imbalanced Data Classification Techniques 0 citations 4 results References 0