Pawel Teisseyre
Orcid: 0000-0002-4296-9819
According to our database1,
Pawel Teisseyre
authored at least 32 papers
between 2011 and 2024.
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Bibliography
2024
Verifying the Selected Completely at Random Assumption in Positive-Unlabeled Learning.
CoRR, 2024
A Short Survey and Comparison of CNN-Based Music Genre Classification Using Multiple Spectral Features.
IEEE Access, 2024
2023
Feature selection under budget constraint in medical applications: analysis of penalized empirical risk minimization methods.
Appl. Intell., December, 2023
Cost-constrained feature selection in multilabel classification using an information-theoretic approach.
Pattern Recognit., September, 2023
Multilabel all-relevant feature selection using lower bounds of conditional mutual information.
Expert Syst. Appl., April, 2023
CoRR, 2023
Effective Exploitation of Macroeconomic Indicators for Stock Direction Classification Using the Multimodal Fusion Transformer.
IEEE Access, 2023
Proceedings of the Modeling Decisions for Artificial Intelligence, 2023
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
2022
Joint estimation of posterior probability and propensity score function for positive and unlabelled data.
CoRR, 2022
Joint Feature Selection and Classification for Positive Unlabelled Multi-Label Data Using Weighted Penalized Empirical Risk Minimization.
Int. J. Appl. Math. Comput. Sci., 2022
2021
Knowl. Based Syst., 2021
How to Gain on Power: Novel Conditional Independence Tests Based on Short Expansion of Conditional Mutual Information.
J. Mach. Learn. Res., 2021
Adv. Data Anal. Classif., 2021
Proceedings of the Computational Science - ICCS 2021, 2021
Detection of Conditional Dependence Between Multiple Variables Using Multiinformation.
Proceedings of the Computational Science - ICCS 2021, 2021
2020
Different Strategies of Fitting Logistic Regression for Positive and Unlabelled Data.
Proceedings of the Computational Science - ICCS 2020, 2020
Testing the Significance of Interactions in Genetic Studies Using Interaction Information and Resampling Technique.
Proceedings of the Computational Science - ICCS 2020, 2020
Learning Classifier Chains Using Matrix Regularization: Application to Multimorbidity Prediction.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
2019
Cost-sensitive classifier chains: Selecting low-cost features in multi-label classification.
Pattern Recognit., 2019
2018
Proceedings of the Machine Learning, Optimization, and Data Science, 2018
2017
Diversity of editors and teams versus quality of cooperative work: experiments on wikipedia.
J. Intell. Inf. Syst., 2017
CCnet: Joint multi-label classification and feature selection using classifier chains and elastic net regularization.
Neurocomputing, 2017
2016
What Do We Choose When We Err? Model Selection and Testing for Misspecified Logistic Regression Revisited.
Proceedings of the Challenges in Computational Statistics and Data Mining, 2016
Neurocomputing, 2016
Comput. Stat., 2016
Asymptotic consistency and order specification for logistic classifier chains in multi-label learning.
CoRR, 2016
2015
What Do Your Look-alikes Say about You? Exploiting Strong and Weak Similarities for Author Profiling.
Proceedings of the Working Notes of CLEF 2015, 2015
2014
J. Quant. Linguistics, 2014
Using random subspace method for prediction and variable importance assessment in linear regression.
Comput. Stat. Data Anal., 2014
2011
Proceedings of the Security and Intelligent Information Systems, 2011