Meelis Kull
Czech Academy of Sciences, Institute of Computer Science(CZ)University of Tartu(EE)
Publications by Year
Research Areas
Machine Learning and Data Classification, Anomaly Detection Techniques and Applications, Imbalanced Data Classification Techniques, Context-Aware Activity Recognition Systems, Explainable Artificial Intelligence (XAI)
Most-Cited Works
- Advances in Neural Information Processing Systems 28(2015)
- → g:Profiler—a web-based toolset for functional profiling of gene lists from large-scale experiments(2007)1,628 cited
- → CRISP-DM Twenty Years Later: From Data Mining Processes to Data Science Trajectories(2019)405 cited
- Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS 2017)(2017)
- → Precision-Recall-Gain curves: PR analysis done right(2015)263 cited
- → Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration(2019)162 cited
- → Mining for coexpression across hundreds of datasets using novel rank aggregation and visualization methods(2009)152 cited
- → Classifier calibration: a survey on how to assess and improve predicted class probabilities