Robert E. Schapire

Publications by Year

Research Areas

Machine Learning and Algorithms, Advanced Bandit Algorithms Research, Machine Learning and Data Classification, Reinforcement Learning in Robotics, Algorithms and Data Compression

Most-Cited Works

• → A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting(1997)19,965 cited
• → Maximum entropy modeling of species geographic distributions(2005)17,286 cited
• → Novel methods improve prediction of species’ distributions from occurrence data(2006)9,005 cited
• Experiments with a new boosting algorithm(1996)
• → The Strength of Weak Learnability(1990)3,302 cited
• A Short Introduction to Boosting(1999)
• → Opening the black box: an open‐source release of Maxent(2017)2,702 cited
• → Improved boosting algorithms using confidence-rated predictions(1998)2,561 cited
• → A contextual-bandit approach to personalized news article recommendation(2010)2,460 cited