Pierre Geurts

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 42

Top Venues

CoRR

Mach. Learn.

VISIGRAPP (5: VISAPP)

Publications

Amir Hossein Akhavan Rahnama, Judith Bütepage, Pierre Geurts, Henrik Boström
Can local explanation techniques explain linear additive models? Data Min. Knowl. Discov. 38 (1) (2024)
Vân Anh Huynh-Thu, Pierre Geurts
Optimizing model-agnostic random subspace ensembles. Mach. Learn. 113 (2) (2024)
Gaspard Lambrechts, Yann Claes, Pierre Geurts, Damien Ernst
Parallelizing Autoregressive Generation with Variational State Space Models. CoRR (2024)
Yann Claes, Vân Anh Huynh-Thu, Pierre Geurts
Knowledge-Guided Additive Modeling For Supervised Regression. CoRR (2023)
Yann Claes, Vân Anh Huynh-Thu, Pierre Geurts
Knowledge-Guided Additive Modeling for Supervised Regression. DS (2023)
Navdeep Kumar, Claudia Di Biagio, Zachary Dellacqua, Ratish Raman, Arianna Martini, Clara Boglione, Marc Muller, Pierre Geurts, Raphaël Marée
Empirical Evaluation of Deep Learning Approaches for Landmark Detection in Fish Bioimages. ECCV Workshops (4) (2022)
Romain Mormont, Mehdi Testouri, Raphaël Marée, Pierre Geurts
Relieving Pixel-Wise Labeling Effort for Pathology Image Segmentation with Self-training. ECCV Workshops (7) (2022)
Jean-Michel Begon, Pierre Geurts
Distillation from heterogeneous unlabeled collections. CoRR (2022)
Antonio Sutera, Gilles Louppe, Vân Anh Huynh-Thu, Louis Wehenkel, Pierre Geurts
From global to local MDI variable importances for random forests and when they are Shapley values. NeurIPS (2021)
Antonio Sutera, Gilles Louppe, Vân Anh Huynh-Thu, Louis Wehenkel, Pierre Geurts
From global to local MDI variable importances for random forests and when they are Shapley values. CoRR (2021)
Matthia Sabatelli, Mike Kestemont, Pierre Geurts
On the Transferability of Winning Tickets in Non-natural Image Datasets. VISIGRAPP (5: VISAPP) (2021)
Romain Mormont, Pierre Geurts, Raphaël Marée
Multi-Task Pre-Training of Deep Neural Networks for Digital Pathology. IEEE J. Biomed. Health Informatics 25 (2) (2021)
Matthia Sabatelli, Pierre Geurts
On The Transferability of Deep-Q Networks. CoRR (2021)
Jean-Michel Begon, Pierre Geurts
Sample-Free White-Box Out-of-Distribution Detection for Deep Learning. CVPR Workshops (2021)
Nikolay Banar, Matthia Sabatelli, Pierre Geurts, Walter Daelemans, Mike Kestemont
Transfer Learning with Style Transfer between the Photorealistic and Artistic Domain. Computer Vision and Image Analysis of Art (2021)
Navdeep Kumar, Alessio Carletti, Paulo J. Gavaia, Marc Muller, M. Leonor Cancela, Pierre Geurts, Raphaël Marée
Deep Learning Approaches for Head and Operculum Segmentation in Zebrafish Microscopy Images. CAIP (1) (2021)
Vân Anh Huynh-Thu, Pierre Geurts
Optimizing model-agnostic Random Subspace ensembles. CoRR (2021)
Matthia Sabatelli, Nikolay Banar, Marie Cocriamont, Eva Coudyzer, Karine Lasaracina, Walter Daelemans, Pierre Geurts, Mike Kestemont
Advances in Digital Music Iconography: Benchmarking the detection of musical instruments in unrestricted, non-photorealistic images from the artistic domain. Digit. Humanit. Q. 15 (1) (2021)
Amir Hossein Akhavan Rahnama, Judith Bütepage, Pierre Geurts, Henrik Boström
Evaluation of Local Model-Agnostic Explanations Using Ground Truth. CoRR (2021)
Matthia Sabatelli, Mike Kestemont, Pierre Geurts
On the Transferability of Winning Tickets in Non-Natural Image Datasets. CoRR (2020)
Ivica Slavkov, Matej Petkovic, Pierre Geurts, Dragi Kocev, Saso Dzeroski
Error curves for evaluating the quality of feature rankings. PeerJ Comput. Sci. 6 (2020)
Matthia Sabatelli, Gilles Louppe, Pierre Geurts, Marco A. Wiering
The Deep Quality-Value Family of Deep Reinforcement Learning Algorithms. IJCNN (2020)
Nicolas Vecoven, Jean-Michel Begon, Antonio Sutera, Pierre Geurts, Vân Anh Huynh-Thu
Nets Versus Trees for Feature Ranking and Gene Network Inference. DS (2020)
Romain Mormont, Pierre Geurts, Raphaël Marée
Multi-task pre-training of deep neural networks for digital pathology. CoRR (2020)
Pascal Leroy, Damien Ernst, Pierre Geurts, Gilles Louppe, Jonathan Pisane, Matthia Sabatelli
QVMix and QVMix-Max: Extending the Deep Quality-Value Family of Algorithms to Cooperative Multi-Agent Reinforcement Learning. CoRR (2020)
Matthia Sabatelli, Gilles Louppe, Pierre Geurts, Marco A. Wiering
Deep Quality-Value (DQV) Learning. BNAIC/BENELEARN (2019)
Matthia Sabatelli, Gilles Louppe, Pierre Geurts, Marco A. Wiering
Approximating two value functions instead of one: towards characterizing a new family of Deep Reinforcement Learning algorithms. CoRR (2019)
Arnaud Joly, Louis Wehenkel, Pierre Geurts
Gradient tree boosting with random output projections for multi-label classification and multi-output regression. CoRR (2019)
Matthia Sabatelli, Gilles Louppe, Pierre Geurts, Marco A. Wiering
Deep Quality-Value (DQV) Learning. CoRR (2018)
Antonio Sutera, Célia Châtel, Gilles Louppe, Louis Wehenkel, Pierre Geurts
Random Subspace with Trees for Feature Selection Under Memory Constraints. AISTATS (2018)
Romain Mormont, Pierre Geurts, Raphaël Marée
Comparison of Deep Transfer Learning Strategies for Digital Pathology. CVPR Workshops (2018)
Konstantinos Pliakos, Pierre Geurts, Celine Vens
Global multi-output decision trees for interaction prediction. Mach. Learn. 107 (8-10) (2018)
Matthia Sabatelli, Mike Kestemont, Walter Daelemans, Pierre Geurts
Deep Transfer Learning for Art Classification Problems. ECCV Workshops (2) (2018)
Samir Azrour, Sébastien Piérard, Pierre Geurts, Marc Van Droogenbroeck
A Two-Step Methodology for Human Pose Estimation Increasing the Accuracy and Reducing the Amount of Learning Samples Dramatically. ACIVS (2017)
Jean-Michel Begon, Arnaud Joly, Pierre Geurts
Globally Induced Forest: A Prepruning Compression Scheme. ICML (2017)
Antonio Sutera, Célia Châtel, Gilles Louppe, Louis Wehenkel, Pierre Geurts
Random Subspace with Trees for Feature Selection Under Memory Constraints. CoRR (2017)
Remy Vandaele, François Lallemand, Philippe Martinive, Akos Gulyban, Sébastien Jodogne, Philippe Coucke, Pierre Geurts, Raphaël Marée
Automated Multimodal Volume Registration based on Supervised 3D Anatomical Landmark Detection. VISIGRAPP (5: VISAPP) (2017)
M. Wehenkel, Christine Bastin, Christophe Phillips, Pierre Geurts
Tree ensemble methods and parcelling to identify brain areas related to Alzheimer's disease. PRNI (2017)
Antonio Sutera, Gilles Louppe, Vân Anh Huynh-Thu, Louis Wehenkel, Pierre Geurts
Context-dependent feature analysis with random forests. UAI (2016)
Raphaël Marée, Pierre Geurts, Louis Wehenkel
Towards generic image classification using tree-based learning: An extensive empirical study. Pattern Recognit. Lett. 74 (2016)
Antonio Sutera, Gilles Louppe, Vân Anh Huynh-Thu, Louis Wehenkel, Pierre Geurts
Context-dependent feature analysis with random forests. CoRR (2016)
Raphaël Marée, Loic Rollus, Benjamin Stevens, Renaud Hoyoux, Gilles Louppe, Remy Vandaele, Jean-Michel Begon, Philipp Kainz, Pierre Geurts, Louis Wehenkel
Collaborative analysis of multi-gigapixel imaging data using Cytomine. Bioinform. 32 (9) (2016)
Wei Du, Yongjun Liao, Narisu Tao, Pierre Geurts, Xiaoming Fu, Guy Leduc
Rating Network Paths for Locality-Aware Overlay Construction and Routing. IEEE/ACM Trans. Netw. 23 (5) (2015)
Ching-Wei Wang, Cheng-Ta Huang, Meng-Che Hsieh, Chung-Hsing Li, Sheng-Wei Chang, Wei-Cheng Li, Remy Vandaele, Raphaël Marée, Sébastien Jodogne, Pierre Geurts, Cheng Chen, Guoyan Zheng, Chengwen Chu, Hengameh Mirzaalian, Ghassan Hamarneh, Tomaz Vrtovec, Bulat Ibragimov
Evaluation and Comparison of Anatomical Landmark Detection Methods for Cephalometric X-Ray Images: A Grand Challenge. IEEE Trans. Medical Imaging 34 (9) (2015)
Arnaud Joly, Pierre Geurts, Louis Wehenkel
Random Forests with Random Projections of the Output Space for High Dimensional Multi-label Classification. ECML/PKDD (1) (2014)
Samir Azrour, Sébastien Piérard, Pierre Geurts, Marc Van Droogenbroeck
Data normalization and supervised learning to assess the condition of patients with multiple sclerosis based on gait analysis. ESANN (2014)
Marie Schrynemackers, Louis Wehenkel, M. Madan Babu, Pierre Geurts
Classifying pairs with trees for supervised biological network inference. CoRR (2014)
Arnaud Joly, Pierre Geurts, Louis Wehenkel
Random forests with random projections of the output space for high dimensional multi-label classification. CoRR (2014)
Antonio Sutera, Arnaud Joly, Vincent François-Lavet, Zixiao Aaron Qiu, Gilles Louppe, Damien Ernst, Pierre Geurts
Simple connectome inference from partial correlation statistics in calcium imaging. CoRR (2014)
Antonio Sutera, Arnaud Joly, Vincent François-Lavet, Zixiao Aaron Qiu, Gilles Louppe, Damien Ernst, Pierre Geurts
Simple Connectome Inference from Partial Correlation Statistics in Calcium Imaging. Neural Connectomics (2014)
Yongjun Liao, Wei Du, Pierre Geurts, Guy Leduc
DMFSGD: A Decentralized Matrix Factorization Algorithm for Network Distance Prediction. IEEE/ACM Trans. Netw. 21 (5) (2013)
Gilles Louppe, Louis Wehenkel, Antonio Sutera, Pierre Geurts
Understanding variable importances in forests of randomized trees. NIPS (2013)
Yongjun Liao, Wei Du, Pierre Geurts, Guy Leduc
DMFSGD: A Decentralized Matrix Factorization Algorithm for Network Distance Prediction CoRR (2012)
Wei Du, Yongjun Liao, Pierre Geurts, Guy Leduc
Ordinal Rating of Network Performance and Inference by Matrix Completion CoRR (2012)
Francis Maes, Pierre Geurts, Louis Wehenkel
Embedding Monte Carlo Search of Features in Tree-Based Ensemble Methods. ECML/PKDD (1) (2012)
Gilles Louppe, Pierre Geurts
Ensembles on Random Patches. ECML/PKDD (1) (2012)
Arnaud Joly, François Schnitzler, Pierre Geurts, Louis Wehenkel
L1-based compression of random forest models. ESANN (2012)
Vân Anh Huynh-Thu, Yvan Saeys, Louis Wehenkel, Pierre Geurts
Statistical interpretation of machine learning-based feature importance scores for biomarker discovery. Bioinform. 28 (13) (2012)
Samuel Hiard, Pierre Geurts, Louis Wehenkel
Comparator selection for RPC with many labels. ECAI (2012)
Pierre Geurts
Learning from positive and unlabeled examples by enforcing statistical significance. AISTATS (2011)
François Schnitzler, Sourour Ammar, Philippe Leray, Pierre Geurts, Louis Wehenkel
Efficiently Approximating Markov Tree Bagging for High-Dimensional Density Estimation. ECML/PKDD (3) (2011)
Pierre Geurts, Gilles Louppe
Learning to rank with extremely randomized trees. Yahoo! Learning to Rank Challenge (2011)
Yongjun Liao, Wei Du, Pierre Geurts, Guy Leduc
Decentralized prediction of end-to-end network performance classes. CoNEXT (2011)
Olivier Stern, Raphaël Marée, Jessica Aceto, Nathalie Jeanray, Marc Muller, Louis Wehenkel, Pierre Geurts
Automatic Localization of Interest Points in Zebrafish Images with Tree-Based Methods. PRIB (2011)
Ibtissam El Khayat, Pierre Geurts, Guy Leduc
Enhancement of TCP over wired/wireless networks with packet loss classifiers inferred by supervised learning. Wirel. Networks 16 (2) (2010)
Saso Dzeroski, Pierre Geurts, Juho Rousu
Preface. MLSB (2010)
Raphaël Marée, Olivier Stern, Pierre Geurts
Biomedical Imaging Modality Classification Using Bags of Visual and Textual Terms with Extremely Randomized Trees: Report of ImageCLEF 2010 Experiments. CLEF (Notebook Papers/LABs/Workshops) (2010)
Raphaël Marée, Philippe Denis, Louis Wehenkel, Pierre Geurts
Incremental indexing and distributed image search using shared randomized vocabularies. Multimedia Information Retrieval (2010)
Yongjun Liao, Pierre Geurts, Guy Leduc
Network Distance Prediction Based on Decentralized Matrix Factorization. Networking (2010)
Yongjun Liao, Mohamed Ali Kâafar, Bamba Gueye, François Cantin, Pierre Geurts, Guy Leduc
Detecting Triangle Inequality Violations in Internet Coordinate Systems by Supervised Learning. Networking (2009)
Marie Dumont, Raphaël Marée, Louis Wehenkel, Pierre Geurts
Fast Multi-class Image Annotation with Random Subwindows and Multiple Output Randomized Trees. VISAPP (2) (2009)
Raphaël Marée, Pierre Geurts, Louis Wehenkel
Content-based Image Retrieval by Indexing Random Subwindows with Randomized Trees. IPSJ Trans. Comput. Vis. Appl. 1 (2009)
Raphaël Marée, Benjamin Stevens, Pierre Geurts, Y. Guern, P. Mack
A machine learning approach for material detection in hyperspectral images. CVPR Workshops (2009)
Vân Anh Huynh-Thu, Louis Wehenkel, Pierre Geurts
Exploiting tree-based variable importances to selectively identify relevant variables. FSDM (2008)
Raphaël Marée, Pierre Geurts, Louis Wehenkel
Content-Based Image Retrieval by Indexing Random Subwindows with Randomized Trees. ACCV (2) (2007)
Pierre Geurts, Louis Wehenkel, Florence d'Alché-Buc
Gradient boosting for kernelized output spaces. ICML (2007)
Pierre Geurts, Nizar Touleimat, Marie Dutreix, Florence d'Alché-Buc
Inferring biological networks with output kernel trees. BMC Bioinform. 8 (S-2) (2007)
Alberto Del Angel, Pierre Geurts, Damien Ernst, Mevludin Glavic, Louis Wehenkel
Estimation of rotor angles of synchronous machines using artificial neural networks and local PMU-based quantities. Neurocomputing 70 (16-18) (2007)
Ibtissam El Khayat, Pierre Geurts, Guy Leduc
Machine-learnt versus analytical models of TCP throughput. Comput. Networks 51 (10) (2007)
Minh Quach, Pierre Geurts
Elucidating the structure of genetic regulatory networks: a study of a second order dynamical model on artificial data. ESANN (2006)
Pierre Geurts, Louis Wehenkel, Florence d'Alché-Buc
Kernelizing the output of tree-based methods. ICML (2006)
Pierre Geurts, Damien Ernst, Louis Wehenkel
Extremely randomized trees. Mach. Learn. 63 (1) (2006)
Vincent Auvray, Pierre Geurts, Louis Wehenkel
A Semi-Algebraic Description of Naive Bayes Models with Two Hidden Classes. AI&M (2006)
Ibtissam El Khayat, Pierre Geurts, Guy Leduc
On the Accuracy of Analytical Models of TCP Throughput. Networking (2006)
Raphaël Marée, Pierre Geurts, Justus H. Piater, Louis Wehenkel
Random Subwindows for Robust Image Classification. CVPR (1) (2005)
Pierre Geurts, Marianne Fillet, Dominique de Seny, Marie-Alice Meuwis, Michel Malaise, Marie-Paule Merville, Louis Wehenkel
Proteomic mass spectra classification using decision tree based ensemble methods. Bioinform. 21 (14) (2005)
Raphaël Marée, Pierre Geurts, Justus H. Piater, Louis Wehenkel
Biomedical Image Classification with Random Subwindows and Decision Trees. CVBIA (2005)
Damien Ernst, Pierre Geurts, Louis Wehenkel
Tree-Based Batch Mode Reinforcement Learning. J. Mach. Learn. Res. 6 (2005)
Pierre Geurts, Antia Blanco Cuesta, Louis Wehenkel
Segment and Combine Approach for Biological Sequence Classification. CIBCB (2005)
Pierre Geurts, Louis Wehenkel
Segment and Combine Approach for Non-parametric Time-Series Classification. PKDD (2005)
Pierre Geurts, Louis Wehenkel
Closed-form dual perturb and combine for tree-based models. ICML (2005)
Ibtissam El Khayat, Pierre Geurts, Guy Leduc
Improving TCP in Wireless Networks with an Adaptive Machine-Learnt Classifier of Packet Loss Causes. NETWORKING (2005)
Pierre Geurts, Ibtissam El Khayat, Guy Leduc
A Machine Learning Approach to Improve Congestion Control over Wireless Computer Networks. ICDM (2004)
Damien Ernst, Pierre Geurts, Louis Wehenkel
Iteratively Extending Time Horizon Reinforcement Learning. ECML (2003)
Raphaël Marée, Pierre Geurts, Giorgio Visimberga, Justus H. Piater, Louis Wehenkel
A Comparison of Generic Machine Learning Algorithms for Image Classification. SGAI Conf. (2003)
Pierre Geurts
Dual perturb and combine algorithm. AISTATS (2001)
Pierre Geurts
Pattern Extraction for Time Series Classification. PKDD (2001)
Pierre Geurts
Some Enhencements of Decision Tree Bagging. PKDD (2000)
Pierre Geurts, Louis Wehenkel
Temporal Machine Learning for Switching Control. PKDD (2000)
Pierre Geurts, Louis Wehenkel
Investigation and Reduction of Discretization Variance in Decision Tree Induction. ECML (2000)

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Publication Activity (10 Years)

Top Topics

Top Venues

Pierre Geurts