| 2024 | DIS | Faithfulness of Local Explanations for Tree-Based Ensemble Models. | Amir Hossein Akhavan Rahnama, Pierre Geurts, Henrik Bostrm |
| 2024 | ESANN | Trust in Artificial Intelligence: Beyond Interpretability. | Tassadit Bouadi, Benot Frnay, Luis Galrraga, Pierre Geurts, Barbara Hammer, Gilles Perrouin |
| 2023 | DIS | Knowledge-Guided Additive Modeling for Supervised Regression. | Yann Claes, Vn Anh Huynh-Thu, Pierre Geurts |
| 2022 | ECCV | Empirical Evaluation of Deep Learning Approaches for Landmark Detection in Fish Bioimages. | Navdeep Kumar, Claudia Di Biagio, Zachary Dellacqua, Ratish Raman, Arianna Martini, Clara Boglione, Marc Muller, Pierre Geurts, Raphal Mare |
| 2022 | ECCV | Relieving Pixel-Wise Labeling Effort for Pathology Image Segmentation with Self-training. | Romain Mormont, Mehdi Testouri, Raphal Mare, Pierre Geurts |
| 2021 | CAIP | Deep Learning Approaches for Head and Operculum Segmentation in Zebrafish Microscopy Images. | Navdeep Kumar, Alessio Carletti, Paulo Jorge Gavaia, Marc Muller, M. Leonor Cancela, Pierre Geurts, Raphal Mare |
| 2021 | CVPR | Sample-Free White-Box Out-of-Distribution Detection for Deep Learning. | Jean-Michel Begon, Pierre Geurts |
| 2020 | DIS | Nets Versus Trees for Feature Ranking and Gene Network Inference. | Nicolas Vecoven, Jean-Michel Begon, Antonio Sutera, Pierre Geurts, Vn Anh Huynh-Thu |
| 2020 | IJCNN | The Deep Quality-Value Family of Deep Reinforcement Learning Algorithms. | Matthia Sabatelli, Gilles Louppe, Pierre Geurts, Marco A. Wiering |
| 2018 | AISTATS | Random Subspace with Trees for Feature Selection Under Memory Constraints. | Antonio Sutera, Clia Chtel, Gilles Louppe, Louis Wehenkel, Pierre Geurts |
| 2018 | CVPR | Comparison of Deep Transfer Learning Strategies for Digital Pathology. | Romain Mormont, Pierre Geurts, Raphal Mare |
| 2018 | ECCV | Deep Transfer Learning for Art Classification Problems. | Matthia Sabatelli, Mike Kestemont, Walter Daelemans, Pierre Geurts |
| 2017 | ACIVS | A Two-Step Methodology for Human Pose Estimation Increasing the Accuracy and Reducing the Amount of Learning Samples Dramatically. | Samir Azrour, Sbastien Pirard, Pierre Geurts, Marc Van Droogenbroeck |
| 2017 | ICML | Globally Induced Forest: A Prepruning Compression Scheme. | Jean-Michel Begon, Arnaud Joly, Pierre Geurts |
| 2016 | UAI | Context-dependent feature analysis with random forests. | Antonio Sutera, Gilles Louppe, Vn Anh Huynh-Thu, Louis Wehenkel, Pierre Geurts |
| 2014 | ESANN | Data normalization and supervised learning to assess the condition of patients with multiple sclerosis based on gait analysis. | Samir Azrour, Sbastien Pirard, Pierre Geurts, Marc Van Droogenbroeck |
| 2012 | ECAI | Comparator selection for RPC with many labels. | Samuel Hiard, Pierre Geurts, Louis Wehenkel |
| 2012 | ESANN | L1-based compression of random forest models. | Arnaud Joly, Franois Schnitzler, Pierre Geurts, Louis Wehenkel |
| 2011 | CoNEXT | Decentralized prediction of end-to-end network performance classes. | Yongjun Liao, Wei Du, Pierre Geurts, Guy Leduc |
| 2010 | Networking | Network Distance Prediction Based on Decentralized Matrix Factorization. | Yongjun Liao, Pierre Geurts, Guy Leduc |
| 2009 | CVPR | A machine learning approach for material detection in hyperspectral images. | Raphal Mare, Benjamin Stevens, Pierre Geurts, Y. Guern, P. Mack |
| 2009 | Networking | Detecting Triangle Inequality Violations in Internet Coordinate Systems by Supervised Learning. | Yongjun Liao, Mohamed Ali Kafar, Bamba Gueye, Franois Cantin, Pierre Geurts, Guy Leduc |
| 2007 | ACCV | Content-Based Image Retrieval by Indexing Random Subwindows with Randomized Trees. | Raphal Mare, Pierre Geurts, Louis Wehenkel |
| 2007 | ICML | Gradient boosting for kernelized output spaces. | Pierre Geurts, Louis Wehenkel, Florence d'Alch-Buc |
| 2006 | ESANN | Elucidating the structure of genetic regulatory networks: a study of a second order dynamical model on artificial data. | Minh Quach, Pierre Geurts |
| 2006 | ICML | Kernelizing the output of tree-based methods. | Pierre Geurts, Louis Wehenkel, Florence d'Alch-Buc |
| 2006 | ISAIM | A Semi-Algebraic Description of Naive Bayes Models with Two Hidden Classes. | Vincent Auvray, Pierre Geurts, Louis Wehenkel |
| 2006 | Networking | On the Accuracy of Analytical Models of TCP Throughput. | Ibtissam El Khayat, Pierre Geurts, Guy Leduc |
| 2005 | CIBCB | Segment and Combine Approach for Biological Sequence Classification. | Pierre Geurts, Antia Blanco Cuesta, Louis Wehenkel |
| 2005 | CVPR | Random Subwindows for Robust Image Classification. | Raphal Mare, Pierre Geurts, Justus H. Piater, Louis Wehenkel |
| 2005 | ICML | Closed-form dual perturb and combine for tree-based models. | Pierre Geurts, Louis Wehenkel |
| 2005 | Networking | Improving TCP in Wireless Networks with an Adaptive Machine-Learnt Classifier of Packet Loss Causes. | Ibtissam El Khayat, Pierre Geurts, Guy Leduc |
| 2004 | ICDM | A Machine Learning Approach to Improve Congestion Control over Wireless Computer Networks. | Pierre Geurts, Ibtissam El Khayat, Guy Leduc |
| 2003 | SGAI | A Comparison of Generic Machine Learning Algorithms for Image Classification. | Raphal Mare, Pierre Geurts, Giorgio Visimberga, Justus H. Piater, Louis Wehenkel |
| 2001 | AISTATS | Dual perturb and combine algorithm. | Pierre Geurts |