専門分野

• Machine learning、statistics

今年度の担当科目

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過去の担当科目

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メッセージ

• My area of research is machine learning. I am particularly interested in the theory of model evaluation and selection and the reproducibility of computational experiments. Potential applications of my work can be found in various fields that use machine learning for data analysis and knowledge extraction from high-dimensional data. More information about my current research can be found on my personal website at www.berrar.com.
  
  I teach courses in machine learning, data science, and statistics. The ability to analyze data and extract meaningful insights is an immensely valuable skill that you can develop during your studies. In my courses, we will not only explore the theory but also emphasize practical applications -- working with real-world datasets and solving fascinating problems.

研究者情報

• www.berrar.com

学位

• University of Ulster, United Kingdom/PhD

学歴

• University of Ulster, UK
• 2004/11/University of Ulster, UK

経歴

• 2017/04/2022/03/Tokyo Institute of Technology/School of Engineering/Specially Appointed Associate Professor
• 2022/04/2025/03/The Open University/School of Mathematics and Statistics/Lecturer in Statistics/Data Science
• 2025/04/Musashi University/School of Liberal Arts and Sciences/Professor

学会

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社会的活動

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委員歴

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受賞歴

• 2012/06/Japanese Society for Artificial Intelligence/Best paper award
• 2023/11/Advance Higher Education UK/Senior Fellowship/SFHEA

著書

• A Practical Approach to Microarray Data Analysis/Dubitzky W., Granzow M., and Berrar D./Coeditor/Springer/2002/1402072600
• Fundamentals of Data Mining in Genomics and Proteomics/Berrar D., Dubitzky W., and Granzow M./Coeditor/Springer/2007/978-0-387-47508-0

論文

• Incorporating domain knowledge in machine learning for soccer outcome prediction/Berrar D., Lopes P., and Dubitzky, W./Joint Author/Machine Learning/2018/08
• A self-organizing incremental neural network for continual supervised learning/Wiwatcharakoses C. and Berrar D./Joint Author/Expert Systems with Applications/2021/12
• Using p-values for the comparison of classifiers over multiple data sets: pitfalls and alternatives/Berrar D./Sole Author/Data Mining and Knowledge Discovery/2022/04
• Estimating the replication probability of significant classification benchmark experiments/Berrar D./Sole Author/Journal of Machine Learning Research/2024/09
• A data- and knowledge-driven framework for developing machine learning models to predict soccer match outcomes/Berrar D., Lopes P., and Dubitzky, W./Joint Author/Machine Learning Journal/2024/09

その他の業績

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講演・口頭発表等

• Self-organizing incremental neural networks for continual supervised and unsupervised learning/Berrar D./8th International Conference on Innovation in Artificial Intelligence (ICIAI 2024)/2024/03/17/ICIAI

Works

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競争的資金等の研究課題

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その他

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教育方法の実践例

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作成した教科書，教材

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実務の経験を有する者についての特記事項

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その他

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