Meelis Kull
Orcid: 0000-0001-9257-595X
According to our database1,
Meelis Kull
authored at least 45 papers
between 2004 and 2024.
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Bibliography
2024
Predicting the Activity of Unidentified Chemicals in Complementary Bioassays from the HRMS Data to Pinpoint Potential Endocrine Disruptors.
J. Chem. Inf. Model., 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
2023
Classifier calibration: a survey on how to assess and improve predicted class probabilities.
Mach. Learn., September, 2023
Trans. Mach. Learn. Res., 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
2022
CoRR, 2022
On the Usefulness of the Fit-on-the-Test View on Evaluating Calibration of Classifiers.
CoRR, 2022
Proceedings of the International Joint Conference 15th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2022) 13th International Conference on EUropean Transnational Education (ICEUTE 2022), 2022
2021
CRISP-DM Twenty Years Later: From Data Mining Processes to Data Science Trajectories.
IEEE Trans. Knowl. Data Eng., 2021
Classifier Calibration: How to assess and improve predicted class probabilities: a survey.
CoRR, 2021
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
2020
2019
Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration.
CoRR, 2019
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
Non-parametric Bayesian Isotonic Calibration: Fighting Over-Confidence in Binary Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with Dirichlet calibration.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
2017
Beta calibration: a well-founded and easily implemented improvement on logistic calibration for binary classifiers.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
2016
AI Commun., 2016
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
Background Check: A General Technique to Build More Reliable and Versatile Classifiers.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016
2015
Proceedings of the ECML/PKDD 2015 Discovery Challenges co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2015), 2015
Novel Decompositions of Proper Scoring Rules for Classification: Score Adjustment as Precursor to Calibration.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015
2014
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
Reliability Maps: A Tool to Enhance Probability Estimates and Improve Classification Accuracy.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
LaCova: A Tree-Based Multi-label Classifier Using Label Covariance as Splitting Criterion.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014
2010
Proceedings of the Algorithms and Applications, 2010
2009
Nucleic Acids Res., 2009
2008
BioData Min., 2008
2007
g: Profiler - a web-based toolset for functional profiling of gene lists from large-scale experiments.
Nucleic Acids Res., 2007
2004
Expression Profiler: next generation - an online platform for analysis of microarray data.
Nucleic Acids Res., 2004