| 2021 | PAKDD | Interpretable Feature Construction for Time Series Extrinsic Regression. | Dominique Gay, Alexis Bondu, Vincent Lemaire, Marc Boull |
| 2020 | DaWaK | Multivariate Time Series Classification: A Relational Way. | Dominique Gay, Alexis Bondu, Vincent Lemaire, Marc Boull, Fabrice Clrot |
| 2019 | ACML | FEARS: a Feature and Representation Selection approach for Time Series Classification. | Alexis Bondu, Dominique Gay, Vincent Lemaire, Marc Boull, Eole Cervenka |
| 2017 | DaWaK | MiSeRe-Hadoop: A Large-Scale Robust Sequential Classification Rules Mining Framework. | Elias Egho, Dominique Gay, Romain Trinquart, Marc Boull, Nicolas Voisine, Fabrice Clrot |
| 2016 | FedCSIS | Predicting Dangerous Seismic Events in Coal Mines under Distribution Drift. | Marc Boull |
| 2015 | DSAA | TESS: Temporal event sequence summarization. | Dominique Gay, Romain Guigours, Marc Boull, Fabrice Clrot |
| 2015 | FedCSIS | Tagging fireworkers activities from body sensors under distribution drift. | Marc Boull |
| 2015 | ICDM | A Parameter-Free Approach for Mining Robust Sequential Classification Rules. | Elias Egho, Dominique Gay, Marc Boull, Nicolas Voisine, Fabrice Clrot |
| 2015 | IJCNN | Concept drift detection using supervised bivariate grids. | Christophe Salperwyck, Marc Boull, Vincent Lemaire |
| 2014 | FedCSIS | Parsimonious Naive Bayes. | Marc Boull |
| 2013 | IJCNN | SAXO: An optimized data-driven symbolic representation of time series. | Alexis Bondu, Marc Boull, Benot Grossin |
| 2012 | ICDM | A Triclustering Approach for Time Evolving Graphs. | Romain Guigours, Marc Boull, Fabrice Rossi |
| 2012 | ILP | Itemset-Based Variable Construction in Multi-relational Supervised Learning. | Dhafer Lahbib, Marc Boull, Dominique Laurent |
| 2011 | IJCNN | A supervised approach for change detection in data streams. | Alexis Bondu, Marc Boull |
| 2010 | DaWaK | Modelling Complex Data by Learning Which Variable to Construct. | Franoise Fessant, Aurlie Le Cam, Marc Boull, Raphal Fraud |
| 2010 | IJCNN | Exploration vs. exploitation in active learning : A Bayesian approach. | Alexis Bondu, Vincent Lemaire, Marc Boull |
| 2010 | IJCNN | A method to build a representation using a classifier and its use in a K Nearest Neighbors-based deployment. | Vincent Lemaire, Marc Boull, Fabrice Clrot, Pascal Gouzien |
| 2008 | ICDM | A Non-parametric Semi-supervised Discretization Method. | Alexis Bondu, Marc Boull, Vincent Lemaire, Stphane Loiseau, Batrice Duval |
| 2007 | IJCNN | Report on Preliminary Experiments with Data Grid Models in the Agnostic Learning vs. Prior Knowledge Challenge. | Marc Boull |
| 2006 | DIS | Optimal Bayesian 2D-Discretization for Variable Ranking in Regression. | Marc Boull, Carine Hue |
| 2006 | IJCNN | Regularization and Averaging of the Selective Naive Bayes classifier. | Marc Boull |