Pawel Teisseyre

发表

Information-Theoretic Feature Selection Using High-Order Interactions

Jan Mielniczuk, Mateusz Pawluk, Pawel Teisseyre, 2018, LOD.

What Do Your Look-alikes Say about You? Exploiting Strong and Weak Similarities for Author Profiling

Pawel Teisseyre, Piotr Przybyla, 2015, CLEF.

Model Selection in Logistic Regression Using p-Values and Greedy Search

Jan Mielniczuk, Pawel Teisseyre, J. Mielniczuk, 2011, SIIS.

Cost-sensitive classifier chains: Selecting low-cost features in multi-label classification

Damien Zufferey, Pawel Teisseyre, Marta Slomka, 2019, Pattern Recognit..

Feature ranking for multi-label classification using Markov networks

Pawel Teisseyre, Paweł Teisseyre, 2016, Neurocomputing.

CCnet: Joint multi-label classification and feature selection using classifier chains and elastic net regularization

Pawel Teisseyre, Paweł Teisseyre, 2017, Neurocomputing.

Diversity of editors and teams versus quality of cooperative work: experiments on wikipedia

Marcin Sydow, Pawel Teisseyre, Katarzyna Baraniak, 2017, Journal of Intelligent Information Systems.

Learning Classifier Chains Using Matrix Regularization: Application to Multimorbidity Prediction

Pawel Teisseyre, Paweł Teisseyre, 2020, ECAI.

What Do We Choose When We Err? Model Selection and Testing for Misspecified Logistic Regression Revisited

Jan Mielniczuk, Pawel Teisseyre, J. Mielniczuk, 2016, Challenges in Computational Statistics and Data Mining.

Analysing Utterances in Polish Parliament to Predict Speaker’s Background*

Pawel Teisseyre, Piotr Przybyla, 2014, J. Quant. Linguistics.

Asymptotic consistency and order specification for logistic classifier chains in multi-label learning pdf

Pawel Teisseyre, Paweł Teisseyre, 2016, ArXiv.

Using random subspace method for prediction and variable importance assessment in linear regression

Jan Mielniczuk, Pawel Teisseyre, J. Mielniczuk, 2014, Comput. Stat. Data Anal..

Detection of Conditional Dependence Between Multiple Variables Using Multiinformation

Jan Mielniczuk, Pawel Teisseyre, J. Mielniczuk, 2021, ICCS.

Controlling Costs in Feature Selection: Information Theoretic Approach

Pawel Teisseyre, Tomasz Klonecki, Paweł Teisseyre, 2021, ICCS.

Classifier chains for positive unlabelled multi-label learning

Pawel Teisseyre, Paweł Teisseyre, 2021, Knowl. Based Syst..

Estimating the class prior for positive and unlabelled data via logistic regression

Jan Mielniczuk, Pawel Teisseyre, Malgorzata Lazecka, 2021, Advances in Data Analysis and Classification.