Daniel Berrar

20 papers A* 1Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Guest editorial: special issue on machine learning in soccer.
Mach. Learn.
Daniel Berrar, Jesse Davis, Philippe Lopes, Werner Dubitzky
2024 J jnl
A data- and knowledge-driven framework for developing machine learning models to predict soccer match outcomes.
Mach. Learn.
Daniel Berrar, Philippe Lopes, Werner Dubitzky
2024 J jnl
Estimating the Replication Probability of Significant Classification Benchmark Experiments.
J. Mach. Learn. Res.
Daniel Berrar
2022 J jnl
Using p-values for the comparison of classifiers: pitfalls and alternatives.
Data Min. Knowl. Discov.
Daniel Berrar
2021 J jnl
A self-organizing incremental neural network for continual supervised learning.
Expert Syst. Appl.
Chayut Wiwatcharakoses, Daniel Berrar
2021 J jnl
Deep learning in bioinformatics and biomedicine.
Briefings Bioinform.
Daniel Berrar, Werner Dubitzky
2020 J jnl
SOINN+, a Self-Organizing Incremental Neural Network for Unsupervised Learning from Noisy Data Streams.
Expert Syst. Appl.
Chayut Wiwatcharakoses, Daniel Berrar
2019 — ch.
Bayes' Theorem and Naive Bayes Classifier.
Encyclopedia of Bioinformatics and Computational Biology (1)
Daniel Berrar
2019 — ch.
Cross-Validation.
Encyclopedia of Bioinformatics and Computational Biology (1)
Daniel Berrar
2019 J jnl
Guest editorial: special issue on machine learning for soccer.
Mach. Learn.
Daniel Berrar, Philippe Lopes, Jesse Davis, Werner Dubitzky
2019 J jnl
Incorporating domain knowledge in machine learning for soccer outcome prediction.
Mach. Learn.
Daniel Berrar, Philippe Lopes, Werner Dubitzky
2019 — ch.
Introduction to the Non-Parametric Bootstrap.
Encyclopedia of Bioinformatics and Computational Biology (1)
Daniel Berrar
2019 — ch.
Performance Measures for Binary Classification.
Encyclopedia of Bioinformatics and Computational Biology (1)
Daniel Berrar
2019 A* conf
Self-Organizing Incremental Neural Networks for Continual Learning.
IJCAI
Chayut Wiwatcharakoses, Daniel Berrar
2019 J jnl
Should significance testing be abandoned in machine learning?
Int. J. Data Sci. Anal.
Daniel Berrar, Werner Dubitzky
2019 J jnl
The Open International Soccer Database for machine learning.
Mach. Learn.
Werner Dubitzky, Philippe Lopes, Jesse Davis, Daniel Berrar
2017 J jnl
Confidence curves: an alternative to null hypothesis significance testing for the comparison of classifiers.
Mach. Learn.
Daniel Berrar
2016 J jnl
Learning from automatically labeled data: case study on click fraud prediction.
Knowl. Inf. Syst.
Daniel Berrar
2016 — conf
On the Noise Resilience of Ranking Measures.
ICONIP (2)
Daniel Berrar
2014 J jnl
Detecting click fraud in online advertising: a data mining approach.
J. Mach. Learn. Res.
Richard Jayadi Oentaryo, Ee-Peng Lim, Michael Finegold, David Lo, Feida Zhu, Clifton Phua, Eng-Yeow Cheu, Ghim-Eng Yap, Kelvin Sim, Minh Nhut Nguyen, Kasun S. Perera, Bijay Neupane, Mustafa Amir Faisal, Zeyar Aung, Wei Lee Woon, Wei Chen, Dhaval Patel, Daniel Berrar