Meelis Kull

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Multi-label Classification: A Comparative Study on Threshold Selection Methods

Peter A. Flach, Reem Al-Otaibi, Meelis Kull, 2014 .

Hybrid Multi-Label Decision Trees for Classification

Peter A. Flach, Reem Al-Otaibi, Meelis Kull, 2016 .

Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration

Peter A. Flach, Meelis Kull, Miquel Perelló-Nieto, 2019, NeurIPS.

Meelis Kull, Markus Kängsepp, Novin Shahroudi, 2020, International Journal of Forecasting.

Shift Happens: Adjusting Classifiers

Meelis Kull, Theodore James Thibault Heiser, Mari-Liis Allikivi, 2019, ECML/PKDD.

The SPHERE Challenge: Activity Recognition with Multimodal Sensor Data pdf

Niall Twomey, Tom Diethe, Peter A. Flach, 2016, ArXiv.

Reframing in context: A systematic approach for model reuse in machine learning

Adolfo Martínez Usó, Peter A. Flach, José Hernández-Orallo, 2016, AI Commun..

Releasing eHealth Analytics into the Wild: Lessons Learnt from the SPHERE Project

Niall Twomey, Tom Diethe, Peter A. Flach, 2018, KDD.

CASP-DM: Context Aware Standard Process for Data Mining pdf

Peter A. Flach, José Hernández-Orallo, Nicolas Lachiche, 2017, ArXiv.

CRISP-DM Twenty Years Later: From Data Mining Processes to Data Science Trajectories

Nicolas Lachiche, Fernando Martínez-Plumed, Meelis Kull, 2021, IEEE Transactions on Knowledge and Data Engineering.

Background Check: A General Technique to Build More Reliable and Versatile Classifiers

Peter A. Flach, Meelis Kull, Miquel Perelló-Nieto, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

MoReBikeS: model reuse with bike rental station data

Nicolas Lachiche, Meelis Kull, Adolfo Martínez-Usó, 2015 .

Machine Learning and Knowledge Discovery in Databases

Peter A. Flach, Meelis Kull, N. Cristianini, 2012, Lecture Notes in Computer Science.

Beta calibration: a well-founded and easily implemented improvement on logistic calibration for binary classifiers

Peter A. Flach, Meelis Kull, Telmo de Menezes e Silva Filho, 2017, AISTATS.

Reframing in Frequent Pattern Mining

Peter A. Flach, Nicolas Lachiche, Meelis Kull, 2015, 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI).

Declaratively Capturing Local Label Correlations with Multi-Label Trees

Peter A. Flach, Reem Al-Otaibi, Meelis Kull, 2016, European Conference on Artificial Intelligence.

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)

Nicolas Lachiche, Meelis Kull, Adolfo Martínez-Usó, 2015 .

HyperStream: a Workflow Engine for Streaming Data pdf

Niall Twomey, Tom Diethe, Peter A. Flach, 2019, ArXiv.

Multi-label classification by label clustering based on covariance

Peter A. Flach, Meelis Kull, Reem M Al-Otaibi, 2015 .

Non-parametric Bayesian Isotonic Calibration: Fighting Over-Confidence in Binary Classification

Meelis Kull, Mari-Liis Allikivi, Meelis Kull, 2019, ECML/PKDD.

Statistical enrichment analysis in algorithms for studying gene regulation

Meelis Kull, Meelis Kull, 2011 .

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS 2017)

Peter A. Flach, Meelis Kull, Telmo de Menezes e Silva Filho, 2017, AISTATS 2017.

Reliability Maps: A Tool to Enhance Probability Estimates and Improve Classification Accuracy

Peter A. Flach, Meelis Kull, 2014, ECML/PKDD.

Versatile Decision Trees for Learning Over Multiple Contexts

Peter A. Flach, Reem Al-Otaibi, Meelis Kull, 2015, ECML/PKDD.

Classifier Calibration: How to assess and improve predicted class probabilities: a survey pdf

Peter A. Flach, Meelis Kull, Peter Flach, 2021, ArXiv.

Instance-based Label Smoothing For Better Calibrated Classification Networks

Meelis Kull, Mohamed Maher, 2021, 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA).

Fast clustering in metric spaces

Meelis Kull, 2004 .

ASTD: The Alternative Splicing and Transcript Diversity database.

Oliver Hofmann, Gautier Koscielny, William Ritchie, 2009, Genomics.

Comprehensive transcriptome analysis of mouse embryonic stem cell adipogenesis unravels new processes of adipocyte development

Hedi Peterson, Meelis Kull, Raivo Kolde, 2010, Genome Biology.

Bike Rental and Weather Data across Dozens of Cities

César Ferri, Meelis Kull, C. Ferri, 2015 .