| 2025 | SAC | GSHAPA: Gene Set Analysis for Single-Cell RNAseq Using Random Forest and SHAP Values. | Sara Khademioureh, Irina Dinu, Sergio Peignier |
| 2024 | DIS | Combining SHAP-Driven Co-clustering and Shallow Decision Trees to Explain XGBoost. | Ruggero G. Pensa, Anton Crombach, Sergio Peignier, Christophe Rigotti |
| 2024 | ICDM | 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 |
| 2021 | ICTAI | Constrained prediction time random forests using equivalent trees and genetic programming: application to fall detection model embedding. | Mounir Atiq, Sergio Peignier, Mathilde Mougeot |
| 2021 | ICTAI | Ensemble Learning Based Gene Regulatory Network Inference. | Sergio Peignier, Baptiste Sorin, Federica Calevro |
| 2019 | ICTAI | Transfer Learning on Decision Tree with Class Imbalance. | Ludovic Minvielle, Mounir Atiq, Sergio Peignier, Mathilde Mougeot |
| 2019 | ICTAI | Data-Driven Gene Regulatory Network Inference Based on Classification Algorithms. | Sergio Peignier, Pauline Schmitt, Federica Calevro |
| 2019 | SAC | Subspace clustering for situation assessment in aquatic drones. | Alberto Castellini, Francesco Masillo, Manuele Bicego, Domenico Bloisi, Jason Blum, Alessandro Farinelli, Sergio Peignier |
| 2018 | SAC | Weight-based search to find clusters around medians in subspaces. | Sergio Peignier, Christophe Rigotti, Anthony Rossi, Guillaume Beslon |
| 2015 | GECCO | Subspace Clustering Using Evolvable Genome Structure. | Sergio Peignier, Christophe Rigotti, Guillaume Beslon |