44 citations · 94 across the 18 of their papers we have counts for
20 papers
Delta-Closure Structure for Studying Data Distribution
Aleksey Buzmakov, Tatiana Makhalova, Sergei O. Kuznetsov +1
In this paper, we revisit pattern mining and study the distribution underlying a binary dataset thanks to the closure structure which is based on passkeys, i.e., minimum generators…
Experimental Study of Concise Representations of Concepts and Dependencies
Aleksey Buzmakov, Egor Dudyrev, Sergei O. Kuznetsov +2
In this paper we are interested in studying concise representations of concepts and dependencies, i.e., implications and association rules. Such representations are based on equiva…
Reducing Unintended Bias of ML Models on Tabular and Textual Data
Guilherme Alves, Maxime Amblard, Fabien Bernier +2
Unintended biases in machine learning (ML) models are among the major concerns that must be addressed to maintain public trust in ML. In this paper, we address process fairness of…
A Bayesian Convolutional Neural Network for Robust Galaxy Ellipticity Regression
Claire Theobald, Bastien Arcelin, Frédéric Pennerath +3
Cosmic shear estimation is an essential scientific goal for large galaxy surveys. It refers to the coherent distortion of distant galaxy images due to weak gravitational lensing al…
A Bayesian Neural Network based on Dropout Regulation
Claire Theobald, Frédéric Pennerath, Brieuc Conan-Guez +2
Bayesian Neural Networks (BNN) have recently emerged in the Deep Learning world for dealing with uncertainty estimation in classification tasks, and are used in many application do…
Mint: MDL-based approach for Mining INTeresting Numerical Pattern Sets
Tatiana Makhalova, Sergei O. Kuznetsov, Amedeo Napoli
Pattern mining is well established in data mining research, especially for mining binary datasets. Surprisingly, there is much less work about numerical pattern mining and this res…