Pieter Libin

29 papers A 1B 4Journal 16Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
NASimJax: GPU-Accelerated Policy Learning Framework for Penetration Testing.
CoRR
Raphael Simon, José Carrasquel, Wim Mees, Pieter Libin
2025 J jnl
Fairness-Aware Reinforcement Learning (FAReL): A Framework for Transparent and Balanced Sequential Decision-Making.
CoRR
Alexandra Cimpean, Nicole Orzan, Catholijn M. Jonker, Pieter Libin, Ann Nowé
2025 J jnl
Hybrid-AIRL: Enhancing Inverse Reinforcement Learning with Supervised Expert Guidance.
CoRR
Bram Silue, Santiago Amaya-Corredor, Patrick Mannion, Lander Willem, Pieter Libin
2025 J jnl
Learning Robust Penetration-Testing Policies under Partial Observability: A systematic evaluation.
CoRR
Raphael Simon, Pieter Libin, Wim Mees
2025 J jnl
Needles in the Landscape: Semi-Supervised Pseudolabeling for Archaeological Site Discovery under Label Scarcity.
CoRR
Simon Jaxy, Anton Theys, Patrick Willett, W. Chris Carleton, Ralf Vandam, Pieter Libin
2024 A conf
A Reinforcement Learning Framework for Studying Group and Individual Fairness.
AAMAS
Alexandra Cimpean, Catholijn M. Jonker, Pieter Libin, Ann Nowé
2024 B conf
A Systematic Analysis of Deep Learning Algorithms in High-Dimensional Data Regimes of Limited Size.
ICTAI
Simon Jaxy, Ann Nowé, Pieter Libin
2024 J jnl
Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning.
Expert Syst. Appl.
Mathieu Reymond, Conor F. Hayes, Lander Willem, Roxana Radulescu, Steven Abrams, Diederik M. Roijers, Enda Howley, Patrick Mannion, Niel Hens, Ann Nowé, Pieter Libin
2023 J jnl
Evaluating COVID-19 vaccine allocation policies using Bayesian m-top exploration.
CoRR
Alexandra Cimpean, Timothy Verstraeten, Lander Willem, Niel Hens, Ann Nowé, Pieter Libin
2023 — conf
Tree species mapping in the Brussels Capital Region using deep learning and data fusion.
JURSE
Robbe Neyns, Kyriakos Efthymiadis, Pieter Libin, Frank Canters
2022 J jnl
Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning.
CoRR
Mathieu Reymond, Conor F. Hayes, Lander Willem, Roxana Radulescu, Steven Abrams, Diederik M. Roijers, Enda Howley, Patrick Mannion, Niel Hens, Ann Nowé, Pieter Libin
2021 J jnl
Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research.
Briefings Bioinform.
Franziska Hufsky, Kevin Lamkiewicz, Alexandre Almeida, Abdel Aouacheria, Cecilia N. Arighi, Alex Bateman, Jan Baumbach, Niko Beerenwinkel, Christian Brandt, Marco Cacciabue, Sara Chuguransky, Oliver Drechsel, Robert D. Finn, Adrian Fritz, Stephan Fuchs, Georges Hattab, Anne-Christin Hauschild, Dominik Heider, Marie Hoffmann, Martin Hölzer, Stefan Hoops, Lars Kaderali, Ioanna Kalvari, Max von Kleist, Renó Kmiecinski, Denise Kühnert, Gorka Lasso, Pieter Libin, Markus List, Hannah F. Löchel, Maria Jesus Martin, Roman Martin, Julian O. Matschinske, Alice C. McHardy, Pedro Mendes, Jaina Mistry, Vincent Navratil, Eric P. Nawrocki, Áine Niamh O'toole, Nancy Ontiveros-Palacios, Anton I. Petrov, Guillermo Rangel-Pineros, Nicole Redaschi, Susanne Reimering, Knut Reinert, Alejandro Reyes, Lorna J. Richardson, David L. Robertson, Sepideh Sadegh, Joshua B. Singer, Kristof Theys, Chris Upton, Marius Welzel, Lowri Williams, Manja Marz
2021 J jnl
On realized serial and generation intervals given control measures: The COVID-19 pandemic case.
PLoS Comput. Biol.
Andrea Torneri, Pieter Libin, Gianpaolo Scalia Tomba, Christel Faes, James G. Wood, Niel Hens
2020 J jnl
Deep reinforcement learning for large-scale epidemic control.
CoRR
Pieter Libin, Arno Moonens, Timothy Verstraeten, Fabian Perez-Sanjines, Niel Hens, Philippe Lemey, Ann Nowé
2020 — conf
Interactive Multi-objective Reinforcement Learning in Multi-armed Bandits with Gaussian Process Utility Models.
ECML/PKDD (3)
Diederik M. Roijers, Luisa M. Zintgraf, Pieter Libin, Mathieu Reymond, Eugenio Bargiacchi, Ann Nowé
2019 — conf
A Multi-objective Reinforcement Learning Algorithm for JSSP.
ICANN (1)
Beatriz M. Méndez-Hernández, Erick D. Rodríguez Bazan, Yailen Martínez-Jiménez, Pieter Libin, Ann Nowé
2019 B conf
Bayesian Anytime m-top Exploration.
ICTAI
Pieter Libin, Timothy Verstraeten, Diederik M. Roijers, Wenjia Wang, Kristof Theys, Ann Nowé
2019 B conf
Deep hybrid approach for 3D plane segmentation.
ESANN
Felipe Gomez Marulanda, Pieter Libin, Timothy Verstraeten, Ann Nowé
2019 J jnl
IPC-Net: 3D point-cloud segmentation using deep inter-point convolutional layers.
CoRR
Felipe Gomez Marulanda, Pieter Libin, Timothy Verstraeten, Ann Nowé
2019 — conf
Thompson Sampling for m-top Exploration.
BNAIC/BENELEARN
Pieter Libin, Timothy Verstraeten, Diederik M. Roijers, Wenjia Wang, Kristof Theys, Ann Nowé
2019 — conf
Towards a Phylogenetic Measure to Quantify HIV Incidence.
BNAIC/BENELEARN
Pieter Libin, Nassim Versbraegen, Ana B. Abecasis, Perpetua Gomes, Tom Lenaerts, Ann Nowé
2019 — conf
Towards a Phylogenetic Measure to Quantify HIV Incidence.
BNAIC/BENELEARN (Selected Papers)
Pieter Libin, Nassim Versbraegen, Ana B. Abecasis, Perpetua Gomes, Tom Lenaerts, Ann Nowé
2018 B conf
IPC-Net: 3D Point-Cloud Segmentation Using Deep Inter-Point Convolutional Layers.
ICTAI
Felipe Gomez Marulanda, Pieter Libin, Timothy Verstraeten, Ann Nowé
2017 J jnl
Bayesian Best-Arm Identification for Selecting Influenza Mitigation Strategies.
CoRR
Pieter Libin, Timothy Verstraeten, Diederik M. Roijers, Jelena Grujic, Kristof Theys, Philippe Lemey, Ann Nowé
2017 — conf
Efficient Evaluation of Influenza Mitigation Strategies Using Preventive Bandits.
AAMAS Workshops (Visionary Papers)
Pieter Libin, Timothy Verstraeten, Kristof Theys, Diederik M. Roijers, Peter Vrancx, Ann Nowé
2017 J jnl
PhyloGeoTool: interactively exploring large phylogenies in an epidemiological context.
Bioinform.
Pieter Libin, Ewout Vanden Eynden, Francesca Incardona, Ann Nowé, Antonia Bezenchek, EucoHIV Study Group, Anders Sönnerborg, Anne-Mieke Vandamme, Kristof Theys, Guy Baele
2013 J jnl
RegaDB: community-driven data management and analysis for infectious diseases.
Bioinform.
Pieter Libin, Gertjan Beheydt, Koen Deforche, Stijn Imbrechts, Fossie Ferreira, Kristel Van Laethem, Kristof Theys, Ana Patricia Carvalho, Joana Cavaco-Silva, Giuseppe Lapadula, Carlo Torti, Matthias Assel, Stefan Wesner, Joke Snoeck, Jean Ruelle, Annelies De Bel, Patrick Lacor, Paul De Munter, Eric Van Wijngaerden, Maurizio Zazzi, Rolf Kaiser, Ahidjo Ayouba, Martine Peeters, Tulio de Oliveira, Luiz Carlos Júnior Alcântara, Zehava Grossman, Peter M. A. Sloot, Dan Otelea, Simona Paraschiv, Charles A. Boucher, Ricardo Camacho, Anne-Mieke Vandamme
2009 — conf
A Collaborative Environment Allowing Clinical Investigations on Integrated Biomedical Databases.
HealthGrid
Matthias Assel, David A. van de Vijver, Pieter Libin, Kristof Theys, Daniel Harezlak, Breanndán Ó Nualláin, Piotr Nowakowski, Marian Bubak, Anne-Mieke Vandamme, Stijn Imbrechts, Raphael Sangeda, Tao Jiang, Dineke Frentz, Peter M. A. Sloot
2009 J jnl
A standardized framework for accurate, high-throughput genotyping of recombinant and non-recombinant viral sequences.
Nucleic Acids Res.
Luiz Carlos Júnior Alcântara, Sharon Cassol, Pieter Libin, Koen Deforche, Oliver G. Pybus, Marc Van Ranst, Bernardo Galvão-Castro, Anne-Mieke Vandamme, Tulio de Oliveira