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