Balázs Kégl

Publications by Year

Research Areas

Face and Expression Recognition, Neural Networks and Applications, Machine Learning and Algorithms, Machine Learning and Data Classification, Reinforcement Learning in Robotics

Most-Cited Works

• → Bacterial evolution of antibiotic hypersensitivity(2013)366 cited
• → Principal Manifolds for Data Visualization and Dimension Reduction(2007)362 cited
• → Learning and design of principal curves(2000)349 cited
• → Aggregate features and ADABOOST for music classification(2006)276 cited
• → Genome-wide analysis captures the determinants of the antibiotic cross-resistance interaction network(2014)263 cited
• Intrinsic Dimension Estimation Using Packing Numbers(2002)
• → Piecewise linear skeletonization using principal curves(2002)215 cited
• → Image denoising with complex ridgelets(2006)143 cited
• → Tropical Cyclone Track Forecasting Using Fused Deep Learning From Aligned Reanalysis Data(2020)118 cited
• → The return of AdaBoost.MH: multi-class Hamming trees(2013)88 cited