Berrar, Daniel

9 publications

MLJ 2025 Guest Editorial: Special Issue on Machine Learning in Soccer Daniel Berrar, Jesse Davis, Philippe Lopes, Werner Dubitzky

MLJ 2024 A Data- and Knowledge-Driven Framework for Developing Machine Learning Models to Predict Soccer Match Outcomes Daniel Berrar, Philippe Lopes, Werner Dubitzky

JMLR 2024 Estimating the Replication Probability of Significant Classification Benchmark Experiments Daniel Berrar

MLJ 2019 Guest Editorial: Special Issue on Machine Learning for Soccer Daniel Berrar, Philippe Lopes, Jesse Davis, Werner Dubitzky

MLJ 2019 Incorporating Domain Knowledge in Machine Learning for Soccer Outcome Prediction Daniel Berrar, Philippe Lopes, Werner Dubitzky

IJCAI 2019 Self-Organizing Incremental Neural Networks for Continual Learning Chayut Wiwatcharakoses, Daniel Berrar

MLJ 2019 The Open International Soccer Database for Machine Learning Werner Dubitzky, Philippe Lopes, Jesse Davis, Daniel Berrar

MLJ 2017 Confidence Curves: An Alternative to Null Hypothesis Significance Testing for the Comparison of Classifiers Daniel Berrar

JMLR 2014 Detecting Click Fraud in Online Advertising: A Data Mining Approach Richard Oentaryo, Ee-Peng Lim, Michael Finegold, David Lo, Feida Zhu, Clifton Phua, Eng-Yeow Cheu, Ghim-Eng Yap, Kelvin Sim, Minh Nhut Nguyen, Kasun Perera, Bijay Neupane, Mustafa Faisal, Zeyar Aung, Wei Lee Woon, Wei Chen, Dhaval Patel, Daniel Berrar