Pierre Geurts

Publications by Year

Research Areas

Gene expression and cancer classification, Neural Networks and Applications, Machine Learning and Data Classification, Image Retrieval and Classification Techniques, Bioinformatics and Genomic Networks

Most-Cited Works

• → Extremely randomized trees(2006)8,327 cited
• → SCENIC: single-cell regulatory network inference and clustering(2017)6,604 cited
• → Inferring Regulatory Networks from Expression Data Using Tree-Based Methods(2010)2,211 cited
• Tree-Based Batch Mode Reinforcement Learning(2005)
• Understanding variable importances in forests of randomized trees(2013)
• → Pattern Extraction for Time Series Classification(2001)293 cited
• → dynGENIE3: dynamical GENIE3 for the inference of gene networks from time series expression data(2018)247 cited
• → Supervised learning with decision tree-based methods in computational and systems biology(2009)239 cited
• → Random Subwindows for Robust Image Classification(2005)228 cited
• → Evaluation and Comparison of Anatomical Landmark Detection Methods for Cephalometric X-Ray Images: A Grand Challenge(2015)225 cited