Richard Nock
Publications by Year
Research Areas
Machine Learning and Algorithms, Machine Learning and Data Classification, Statistical Mechanics and Entropy, Imbalanced Data Classification Techniques, Advanced Statistical Methods and Models
Most-Cited Works
- → Advances and Open Problems in Federated Learning(2020)4,367 cited
- → Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach(2017)1,416 cited
- → Statistical region merging(2004)804 cited
- → Adaptive Subspaces for Few-Shot Learning(2020)445 cited
- → Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption(2017)429 cited
- → On weighting clustering(2006)244 cited
- → Sided and Symmetrized Bregman Centroids(2009)165 cited
- → A hybrid filter/wrapper approach of feature selection using information theory(2002)158 cited
- → Bregman Voronoi Diagrams(2010)111 cited