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2020 – today
- 2024
[j10]Mathieu Reymond
, Conor F. Hayes, Lander Willem, Roxana Radulescu, Steven Abrams, Diederik M. Roijers, Enda Howley, Patrick Mannion, Niel Hens, Ann Nowé, Pieter Libin:
Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning. Expert Syst. Appl. 249: 123686 (2024)- [c18]Alexandra Cimpean, Catholijn M. Jonker, Pieter Libin, Ann Nowé:
A Reinforcement Learning Framework for Studying Group and Individual Fairness. AAMAS 2024: 2216-2218 - 2023
- [c17]Peter Vamplew, Benjamin J. Smith, Johan Källström, Gabriel de Oliveira Ramos, Roxana Radulescu, Diederik M. Roijers, Conor F. Hayes, Friedrik Hentz, Patrick Mannion, Pieter J. K. Libin, Richard Dazeley, Cameron Foale:
Scalar Reward is Not Enough. AAMAS 2023: 839-841 - [c16]Robbe Neyns, Kyriakos Efthymiadis, Pieter Libin, Frank Canters:
Tree species mapping in the Brussels Capital Region using deep learning and data fusion. JURSE 2023: 1-4 - [i9]Alexandra Cimpean, Timothy Verstraeten, Lander Willem, Niel Hens, Ann Nowé, Pieter Libin:
Evaluating COVID-19 vaccine allocation policies using Bayesian m-top exploration. CoRR abs/2301.12822 (2023) - 2022
- [j9]Peter Vamplew, Benjamin J. Smith, Johan Källström, Gabriel de Oliveira Ramos, Roxana Radulescu, Diederik M. Roijers, Conor F. Hayes, Fredrik Heintz, Patrick Mannion, Pieter J. K. Libin, Richard Dazeley, Cameron Foale:
Scalar reward is not enough: a response to Silver, Singh, Precup and Sutton (2021). Auton. Agents Multi Agent Syst. 36(2): 41 (2022) - [j8]Elise J. Kuylen, Andrea Torneri, Lander Willem, Pieter J. K. Libin, Steven Abrams, Pietro Coletti, Nicolas Franco, Frederik Verelst, Philippe Beutels, Jori Liesenborgs, Niel Hens:
Different forms of superspreading lead to different outcomes: Heterogeneity in infectiousness and contact behavior relevant for the case of SARS-CoV-2. PLoS Comput. Biol. 18(8) (2022) - [i8]Mathieu Reymond, Conor F. Hayes, Lander Willem, Roxana Radulescu, Steven Abrams, Diederik M. Roijers, Enda Howley, Patrick Mannion, Niel Hens, Ann Nowé, Pieter Libin:
Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning. CoRR abs/2204.05027 (2022) - 2021
- [j7]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:
Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research. Briefings Bioinform. 22(2): 642-663 (2021) - [j6]Pieter J. K. Libin, Lander Willem, Timothy Verstraeten, Andrea Torneri, Joris Vanderlocht, Niel Hens:
Assessing the feasibility and effectiveness of household-pooled universal testing to control COVID-19 epidemics. PLoS Comput. Biol. 17(3) (2021) - [j5]Andrea Torneri, Pieter Libin, Gianpaolo Scalia Tomba, Christel Faes, James G. Wood, Niel Hens:
On realized serial and generation intervals given control measures: The COVID-19 pandemic case. PLoS Comput. Biol. 17(3) (2021) - [c15]Timothy Verstraeten, Pieter-Jan Daems, Eugenio Bargiacchi, Diederik M. Roijers, Pieter J. K. Libin, Jan Helsen:
Scalable Optimization for Wind Farm Control using Coordination Graphs. AAMAS 2021: 1362-1370 - [i7]Timothy Verstraeten, Pieter-Jan Daems, Eugenio Bargiacchi, Diederik M. Roijers, Pieter J. K. Libin, Jan Helsen:
Scalable Optimization for Wind Farm Control using Coordination Graphs. CoRR abs/2101.07844 (2021) - [i6]Peter Vamplew, Benjamin J. Smith, Johan Källström, Gabriel de Oliveira Ramos, Roxana Radulescu, Diederik M. Roijers, Conor F. Hayes, Fredrik Heintz, Patrick Mannion, Pieter J. K. Libin, Richard Dazeley, Cameron Foale:
Scalar reward is not enough: A response to Silver, Singh, Precup and Sutton (2021). CoRR abs/2112.15422 (2021) - 2020
- [c14]Timothy Verstraeten, Eugenio Bargiacchi, Pieter J. K. Libin, Diederik M. Roijers, Ann Nowé:
Thompson Sampling for Factored Multi-Agent Bandits. AAMAS 2020: 2029-2031 - [c13]Timothy Verstraeten, Pieter J. K. Libin, Ann Nowé:
Fleet Control Using Coregionalized Gaussian Process Policy Iteration. ECAI 2020: 1571-1578 - [c12]Pieter J. K. Libin, Arno Moonens, Timothy Verstraeten, Fabian Perez-Sanjines, Niel Hens, Philippe Lemey, Ann Nowé:
Deep Reinforcement Learning for Large-Scale Epidemic Control. ECML/PKDD (5) 2020: 155-170 - [c11]Diederik M. Roijers, Luisa M. Zintgraf, Pieter Libin, Mathieu Reymond, Eugenio Bargiacchi, Ann Nowé:
Interactive Multi-objective Reinforcement Learning in Multi-armed Bandits with Gaussian Process Utility Models. ECML/PKDD (3) 2020: 463-478 - [i5]Pieter Libin, Arno Moonens, Timothy Verstraeten, Fabian Perez-Sanjines, Niel Hens, Philippe Lemey, Ann Nowé:
Deep reinforcement learning for large-scale epidemic control. CoRR abs/2003.13676 (2020)
2010 – 2019
- 2019
- [j4]Pieter J. K. Libin, Koen Deforche, Ana B. Abecasis, Kristof Theys:
VIRULIGN: fast codon-correct alignment and annotation of viral genomes. Bioinform. 35(10): 1763-1765 (2019) - [c10]Pieter Libin, Nassim Versbraegen, Ana B. Abecasis, Perpetua Gomes, Tom Lenaerts, Ann Nowé:
Towards a Phylogenetic Measure to Quantify HIV Incidence. BNAIC/BENELEARN 2019 - [c9]Pieter Libin, Nassim Versbraegen, Ana B. Abecasis, Perpetua Gomes, Tom Lenaerts, Ann Nowé:
Towards a Phylogenetic Measure to Quantify HIV Incidence. BNAIC/BENELEARN (Selected Papers) 2019: 34-50 - [c8]Pieter Libin, Timothy Verstraeten, Diederik M. Roijers, Wenjia Wang, Kristof Theys, Ann Nowé:
Thompson Sampling for m-top Exploration. BNAIC/BENELEARN 2019 - [c7]Felipe Gomez Marulanda, Pieter Libin, Timothy Verstraeten, Ann Nowé:
Deep hybrid approach for 3D plane segmentation. ESANN 2019 - [c6]Beatriz M. Méndez-Hernández, Erick D. Rodríguez Bazan, Yailen Martínez Jiménez, Pieter Libin, Ann Nowé:
A Multi-objective Reinforcement Learning Algorithm for JSSP. ICANN (1) 2019: 567-584 - [c5]Pieter Libin, Timothy Verstraeten, Diederik M. Roijers, Wenjia Wang, Kristof Theys, Ann Nowé:
Bayesian Anytime m-top Exploration. ICTAI 2019: 1422-1428 - [i4]Felipe Gomez Marulanda, Pieter Libin, Timothy Verstraeten, Ann Nowé:
IPC-Net: 3D point-cloud segmentation using deep inter-point convolutional layers. CoRR abs/1909.13726 (2019) - [i3]Timothy Verstraeten, Eugenio Bargiacchi, Pieter J. K. Libin, Diederik M. Roijers, Ann Nowé:
Thompson Sampling for Factored Multi-Agent Bandits. CoRR abs/1911.10120 (2019) - [i2]Timothy Verstraeten, Pieter J. K. Libin, Ann Nowé:
Fleet Control using Coregionalized Gaussian Process Policy Iteration. CoRR abs/1911.10121 (2019) - 2018
- [c4]Felipe Gomez Marulanda, Pieter Libin, Timothy Verstraeten, Ann Nowé:
IPC-Net: 3D Point-Cloud Segmentation Using Deep Inter-Point Convolutional Layers. ICTAI 2018: 293-301 - [c3]Pieter J. K. Libin, Timothy Verstraeten, Diederik M. Roijers, Jelena Grujic, Kristof Theys, Philippe Lemey, Ann Nowé:
Bayesian Best-Arm Identification for Selecting Influenza Mitigation Strategies. ECML/PKDD (3) 2018: 456-471 - 2017
- [j3]Pieter Libin, Ewout Vanden Eynden, Francesca Incardona, Ann Nowé, Antonia Bezenchek, EucoHIV Study Group, Anders Sönnerborg, Anne-Mieke Vandamme, Kristof Theys, Guy Baele:
PhyloGeoTool: interactively exploring large phylogenies in an epidemiological context. Bioinform. 33(24): 3993-3995 (2017) - [c2]Pieter Libin, Timothy Verstraeten, Kristof Theys, Diederik M. Roijers, Peter Vrancx, Ann Nowé:
Efficient Evaluation of Influenza Mitigation Strategies Using Preventive Bandits. AAMAS Workshops (Visionary Papers) 2017: 67-85 - [i1]Pieter Libin, Timothy Verstraeten, Diederik M. Roijers, Jelena Grujic, Kristof Theys, Philippe Lemey, Ann Nowé:
Bayesian Best-Arm Identification for Selecting Influenza Mitigation Strategies. CoRR abs/1711.06299 (2017) - 2013
- [j2]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:
RegaDB: community-driven data management and analysis for infectious diseases. Bioinform. 29(11): 1477-1480 (2013)
2000 – 2009
- 2009
- [j1]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:
A standardized framework for accurate, high-throughput genotyping of recombinant and non-recombinant viral sequences. Nucleic Acids Res. 37(Web-Server-Issue): 634-642 (2009) - [c1]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:
A Collaborative Environment Allowing Clinical Investigations on Integrated Biomedical Databases. HealthGrid 2009: 51-61
Coauthor Index
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