Subspace Clustering Using Evolvable Genome Structure. - Sergio Peignier; Christophe Rigotti; Guillaume Beslon (GECCO, 2015)

EvoMove: Evolutionary-based living musical companion. - Sergio Peignier; Jonas Abernot; Christophe Rigotti; Guillaume Beslon (ECAL, 2017)

Subspace Clustering on Static Datasets and Dynamic Data Streams Using Bio-Inspired Algorithms. (Subspace Clustering sur Jeux de Données Statiques et sur Streams Dynamiques à l'Aide d'Algorithmes Bio-Inspirés). - Sergio Peignier (2017)

Weight-based search to find clusters around medians in subspaces. - Sergio Peignier; Christophe Rigotti; Anthony Rossi; Guillaume Beslon (SAC, 2018)

Transfer Learning on Decision Tree with Class Imbalance. - Ludovic Minvielle; Mounir Atiq; Sergio Peignier; Mathilde Mougeot (ICTAI, 2019)

Data-Driven Gene Regulatory Network Inference Based on Classification Algorithms. - Sergio Peignier; Pauline Schmitt; Federica Calevro (ICTAI, 2019)

Subspace clustering for situation assessment in aquatic drones. - Alberto Castellini; Francesco Masillo; Manuele Bicego; Domenico Bloisi; Jason Blum; Alessandro Farinelli; Sergio Peignier (SAC, 2019)

Subspace Clustering for Situation Assessment in Aquatic Drones: A Sensitivity Analysis for State-Model Improvement. - Alberto Castellini; Manuele Bicego; Domenico Bloisi; Jason Blum; Francesco Masillo; Sergio Peignier; Alessandro Farinelli (Cybern. Syst., 2019)

Evolutionary subspace clustering using variable genome length. - Sergio Peignier; Christophe Rigotti; Guillaume Beslon (Comput. Intell., 2020)

Constrained prediction time random forests using equivalent trees and genetic programming: application to fall detection model embedding. - Mounir Atiq; Sergio Peignier; Mathilde Mougeot (ICTAI, 2021)

Data-driven Gene Regulatory Networks Inference Based on Classification Algorithms. - Sergio Peignier; Pauline Schmitt; Federica Calevro (Int. J. Artif. Intell. Tools, 2021)

Detection of Aphids on Hyperspectral Images Using One-Class SVM and Laplacian of Gaussians. - Sergio Peignier; Virginie Lacotte; Marie-Gabrielle Duport; Patrice Baa-Puyoulet; Jean-Christophe Simon; Federica Calevro; Abdelaziz Heddi; Pedro da Silva (Remote. Sens., 2023)

Ensemble Learning Based Gene Regulatory Network Inference. - Sergio Peignier; Baptiste Sorin; Federica Calevro (Int. J. Artif. Intell. Tools, 2023)

Combining SHAP-Driven Co-clustering and Shallow Decision Trees to Explain XGBoost. - Ruggero G. Pensa; Anton Crombach; Sergio Peignier; Christophe Rigotti (DS (1), 2024)

Detecting gene regulatory network rewiring as changes in marker regulatory associations using only single-cell gene expression data. - Lisa Chabrier; Anton Crombach; Sergio Peignier; Christophe Rigotti (ICDM (Workshops), 2024)

Effective Pruning for Top-k Feature Search on the Basis of SHAP Values. - Lisa Chabrier; Anton Crombach; Sergio Peignier; Christophe Rigotti (IEEE Access, 2024)

Re_actShap : détection de rebranchements des réseaux de régulation d'expression génique à l'aide des valeurs SHAP. - Lisa Chabrier; Anton Crombach; Sergio Peignier; Christophe Rigotti (EGC, 2025)

GSHAPA: Gene Set Analysis for Single-Cell RNAseq Using Random Forest and SHAP Values. - Sara Khademioureh; Irina Dinu; Sergio Peignier (SAC, 2025)