Bogaerts, Bart; Bontempi, Gianluca; Geurts, Pierre; Harley, Nicolas; Lebichot, Bertrand; Lenaerts, Tom; Louppe, Gilles
2021, (DOI: 10.1007/978-3-030-65154-1).
@book{info:hdl:2013/336059,
title = {Artificial Intelligence and Machine Learning: 31st Benelux AI Conference, BNAIC 2019, and 28th Belgian-Dutch Machine Learning Conference, BENELEARN 2019, Brussels, Belgium, November 6-8, 2019, Revised Selected Papers},
author = {Bart Bogaerts and Gianluca Bontempi and Pierre Geurts and Nicolas Harley and Bertrand Lebichot and Tom Lenaerts and Gilles Louppe},
url = {http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/336059},
year = {2021},
date = {2021-01-01},
series = {Communications in Computer and Information Science},
note = {DOI: 10.1007/978-3-030-65154-1},
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Bontempi, Gianluca
Statistical foundations of machine learning Book
2021, (Language of publication: en).
@book{info:hdl:2013/325210b,
title = {Statistical foundations of machine learning},
author = {Gianluca Bontempi},
url = {http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/325210},
year = {2021},
date = {2021-01-01},
note = {Language of publication: en},
keywords = {},
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Buroni, Giovanni; Bontempi, Gianluca; Determe, Karl
A tutorial on network-wide multi-horizon traffic forecasting with deep learning Journal Article
In: CEUR Workshop Proceedings, vol. 2841, 2021, (Language of publication: en).
@article{info:hdl:2013/322517,
title = {A tutorial on network-wide multi-horizon traffic forecasting with deep learning},
author = {Giovanni Buroni and Gianluca Bontempi and Karl Determe},
url = {https://dipot.ulb.ac.be/dspace/bitstream/2013/322517/3/EasyChair-Preprint-4944.pdf},
year = {2021},
date = {2021-01-01},
journal = {CEUR Workshop Proceedings},
volume = {2841},
abstract = {Traffic flow forecasting is fundamental to today's Intelligent Transportation Systems (ITS). It involves the task of learning traffic complex dynamics in order to predict future conditions. This is particularly challenging when it comes to predict the traffic status for multiple horizons into the future and at the same time for the entire transportation network. In this context deep learning models have recently shown promising results. This models can inherently capture the non-linear space-temporal correlations (ST) in traffic by taking advantage of the huge volume of data available. In this study the authors present a LSTM encoder-decoder for multi-horizon traffic flow predictions. We adopted a direct approach in which the model simultaneously predict traffic conditions for the entire Belgian motorway transport network at each time step. The results clearly show the superiority of this model when compared with other deep learning models. In the workshop, conference attendees will learn how to process and visualize mobility data, obtain optimal features for traffic flow forecasting, build a LSTM encoder-decoder and perform predictions in an online manner.},
note = {Language of publication: en},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Bontempi, Gianluca; Chavarriaga, Ricardo; eD Canck, Hans; Girardi, Emanuela; Hoos, Holger H; Kilbane-Dawe, Iarla; Ball, Tonio; Nowe, Ann; Sousa, Jose; Bacciu, Davide; Aldinucci, Marco; eD Domenico, Manlio; Saffiotti, Alessandro; Maratea, Marco
The CLAIRE COVID-19 initiative: approach, experiences and recommendations Journal Article
In: Ethics and information technology, 2021, (DOI: 10.1007/s10676-020-09567-7).
@article{info:hdl:2013/321123,
title = {The CLAIRE COVID-19 initiative: approach, experiences and recommendations},
author = {Gianluca Bontempi and Ricardo Chavarriaga and Hans eD Canck and Emanuela Girardi and Holger H Hoos and Iarla Kilbane-Dawe and Tonio Ball and Ann Nowe and Jose Sousa and Davide Bacciu and Marco Aldinucci and Manlio eD Domenico and Alessandro Saffiotti and Marco Maratea},
url = {https://dipot.ulb.ac.be/dspace/bitstream/2013/321123/3/Bontempi2021_Article_TheCLAIRECOVID-19InitiativeApp-2.pdf},
year = {2021},
date = {2021-01-01},
journal = {Ethics and information technology},
abstract = {A volunteer effort by Artificial Intelligence (AI) researchers has shown it can deliver significant research outcomes rapidly to help tackle COVID-19. Within two months, CLAIRE's self-organising volunteers delivered the World's first comprehensive curated repository of COVID-19-related datasets useful for drug-repurposing, drafted review papers on the role CT/X-ray scan analysis and robotics could play, and progressed research in other areas. Given the pace required and nature of voluntary efforts, the teams faced a number of challenges. These offer insights in how better to prepare for future volunteer scientific efforts and large scale, data-dependent AI collaborations in general. We offer seven recommendations on how to best leverage such efforts and collaborations in the context of managing future crises.},
note = {DOI: 10.1007/s10676-020-09567-7},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Bontempi, Gianluca
Statistical foundations of machine learning Book
2021, (Language of publication: en).
@book{info:hdl:2013/325210,
title = {Statistical foundations of machine learning},
author = {Gianluca Bontempi},
url = {https://dipot.ulb.ac.be/dspace/bitstream/2013/325210/3/syl.pdf},
year = {2021},
date = {2021-01-01},
note = {Language of publication: en},
keywords = {},
pubstate = {published},
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}
Guida, Sibilla Di; Han, The Anh T A H; Kirchsteiger, Georg; Lenaerts, Tom; Zisis, Ioannis
Repeated interaction and its impact on cooperation and surplus allocation---an experimental analysis Journal Article
In: Games, vol. 12, no. 1, 2021, (DOI: 10.3390/g12010025).
@article{info:hdl:2013/321049,
title = {Repeated interaction and its impact on cooperation and surplus allocation---an experimental analysis},
author = {Sibilla Di Guida and The Anh T A H Han and Georg Kirchsteiger and Tom Lenaerts and Ioannis Zisis},
url = {https://dipot.ulb.ac.be/dspace/bitstream/2013/321049/1/doi_304693.pdf},
year = {2021},
date = {2021-01-01},
journal = {Games},
volume = {12},
number = {1},
abstract = {This paper investigates how the possibility of affecting group composition combined with the possibility of repeated interaction impacts cooperation within groups and surplus distribution. We developed and tested experimentally a Surplus Allocation Game where cooperation of four agents is needed to produce surplus, but only two have the power to allocate it among the group members. Three matching procedures (corresponding to three separate experimental treatments) were used to test the impact of the variables of interest. A total of 400 subjects participated in our research, which was computer-based and conducted in a laboratory. Our results show that allowing for repeated interaction with the same partners leads to a self-selection of agents into groups with different life spans, whose duration is correlated with the behavior of both distributors and receivers. While behavior at the group level is diverse for surplus allocation and amount of cooperation, aggregate behavior is instead similar when repeated interaction is allowed or not allowed. We developed a behavioral model that captures the dynamics observed in the experimental data and sheds light into the rationales that drive the agents' individual behavior, suggesting that the most generous distributors are those acting for fear of rejection, not for true generosity, while the groups lasting the longest are those composed by this type of distributors and ``undemanding'' receivers.},
note = {DOI: 10.3390/g12010025},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
P`ere, Nathaniel Vincent Mon; Lenaerts, Tom; d S dos Pacheco, Jorge Manuel Santos J M; Dingli, David
Multistage feedback-driven compartmental dynamics of hematopoiesis Journal Article
In: iScience, vol. 24, no. 4, 2021, (DOI: 10.1016/j.isci.2021.102326).
@article{info:hdl:2013/322462,
title = {Multistage feedback-driven compartmental dynamics of hematopoiesis},
author = {Nathaniel Vincent Mon P{`e}re and Tom Lenaerts and Jorge Manuel Santos J M d S dos Pacheco and David Dingli},
url = {https://dipot.ulb.ac.be/dspace/bitstream/2013/322462/1/doi_306106.pdf},
year = {2021},
date = {2021-01-01},
journal = {iScience},
volume = {24},
number = {4},
abstract = {Human hematopoiesis is surprisingly resilient to disruptions, providing suitable responses to severe bleeding, long-lasting immune activation, and even bone marrow transplants. Still, many blood disorders exist which push the system past its natural plasticity, resulting in abnormalities in the circulating blood. While proper treatment of such diseases can benefit from understanding the underlying cell dynamics, these are non-trivial to predict due to the hematopoietic system's hierarchical nature and complex feedback networks. To characterize the dynamics following different types of perturbations, we investigate a model representing hematopoiesis as a sequence of compartments covering all maturation stages---from stem to mature cells---where feedback regulates cell production to ongoing necessities. We find that a stable response to perturbations requires the simultaneous adaptation of cell differentiation and self-renewal rates, and show that under conditions of continuous disruption---as found in chronic hemolytic states---compartment cell numbers evolve to novel stable states.},
note = {DOI: 10.1016/j.isci.2021.102326},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Rivi`ere, Quentin; Xiao, Qiying; Gutsch, Annelie; Defrance, Matthieu; Webb, A A R; Verbruggen, Nathalie
Mg deficiency interacts with the circadian clock and phytochromes pathways in Arabidopsis Journal Article
In: Annals of Applied Biology, vol. 178, no. 2, pp. 387-399, 2021, (DOI: 10.1111/aab.12659).
@article{info:hdl:2013/322914,
title = {Mg deficiency interacts with the circadian clock and phytochromes pathways in Arabidopsis},
author = {Quentin Rivi{`e}re and Qiying Xiao and Annelie Gutsch and Matthieu Defrance and A A R Webb and Nathalie Verbruggen},
url = {https://dipot.ulb.ac.be/dspace/bitstream/2013/322914/3/MgDeficiencyInPlantsLightClock.pdf},
year = {2021},
date = {2021-01-01},
journal = {Annals of Applied Biology},
volume = {178},
number = {2},
pages = {387-399},
note = {DOI: 10.1111/aab.12659},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Ciortan, Madalina; Defrance, Matthieu
Contrastive self-supervised clustering of scRNA-seq data. Journal Article
In: BMC bioinformatics, vol. 22, no. 1, pp. 280, 2021, (DOI: 10.1186/s12859-021-04210-8).
@article{info:hdl:2013/325214,
title = {Contrastive self-supervised clustering of scRNA-seq data.},
author = {Madalina Ciortan and Matthieu Defrance},
url = {https://dipot.ulb.ac.be/dspace/bitstream/2013/325214/1/doi_308858.pdf},
year = {2021},
date = {2021-01-01},
journal = {BMC bioinformatics},
volume = {22},
number = {1},
pages = {280},
abstract = {Single-cell RNA sequencing (scRNA-seq) has emerged has a main strategy to study transcriptional activity at the cellular level. Clustering analysis is routinely performed on scRNA-seq data to explore, recognize or discover underlying cell identities. The high dimensionality of scRNA-seq data and its significant sparsity accentuated by frequent dropout events, introducing false zero count observations, make the clustering analysis computationally challenging. Even though multiple scRNA-seq clustering techniques have been proposed, there is no consensus on the best performing approach. On a parallel research track, self-supervised contrastive learning recently achieved state-of-the-art results on images clustering and, subsequently, image classification.},
note = {DOI: 10.1186/s12859-021-04210-8},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Papadimitriou, Sofia
2020, (Funder: Universite Libre de Bruxelles).
@phdthesis{info:hdl:2013/312576,
title = {Towards multivariant pathogenicity predictions: Using machine-learning to directly predict and explore disease-causing oligogenic variant combinations},
author = {Sofia Papadimitriou},
url = {http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/312576},
year = {2020},
date = {2020-01-01},
note = {Funder: Universite Libre de Bruxelles},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}
P`ere, Nathaniel Mon
Statistical biophysics of hematopoiesis and growing cell populations PhD Thesis
2020, (Funder: Universite Libre de Bruxelles).
@phdthesis{info:hdl:2013/314684,
title = {Statistical biophysics of hematopoiesis and growing cell populations},
author = {Nathaniel Mon P`ere},
url = {http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/314684},
year = {2020},
date = {2020-01-01},
note = {Funder: Universite Libre de Bruxelles},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}
Abels, Axel; Lenaerts, Tom; Trianni, Vito; Nowe, Ann
Improving Collective Decision-Making Using Confidence and Value Estimate Miscellaneous
2020, (Conference: ACM Collective intelligence conference(8: 18/6/2020: Northeastern University, USA)).
@misc{info:hdl:2013/336158,
title = {Improving Collective Decision-Making Using Confidence and Value Estimate},
author = {Axel Abels and Tom Lenaerts and Vito Trianni and Ann Nowe},
url = {http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/336158},
year = {2020},
date = {2020-01-01},
note = {Conference: ACM Collective intelligence conference(8: 18/6/2020: Northeastern University, USA)},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Abels, Axel; Lenaerts, Tom; Trianni, Vito; Nowe, Ann
Collective Decision-Making as a Contextual Multi-Armed Bandit Problem Miscellaneous
2020, (Conference: ACM Collective intelligence conference(8: 18/6/2020: Northeastern university, USA)).
@misc{info:hdl:2013/336159,
title = {Collective Decision-Making as a Contextual Multi-Armed Bandit Problem},
author = {Axel Abels and Tom Lenaerts and Vito Trianni and Ann Nowe},
url = {http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/336159},
year = {2020},
date = {2020-01-01},
note = {Conference: ACM Collective intelligence conference(8: 18/6/2020: Northeastern university, USA)},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Han, The Anh T. A. H.; Pereira, Luis Moniz; Lenaerts, Tom; Santos, Francisco C
Mediating Artificial Intelligence Developments through Negative and Positive Incentives Miscellaneous
2020, (Conference: International Conference on Complex Systems(10: 27-31/72020: online)).
@misc{info:hdl:2013/336161,
title = {Mediating Artificial Intelligence Developments through Negative and Positive Incentives},
author = {The Anh T. A. H. Han and Luis Moniz Pereira and Tom Lenaerts and Francisco C Santos},
url = {http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/336161},
year = {2020},
date = {2020-01-01},
note = {Conference: International Conference on Complex Systems(10: 27-31/72020: online)},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Dillen, Arnau; Nachtegael, Charlotte; Renaux, Alexandre; Papadimitriou, Sofia; Versbraegen, Nassim; Petit, Robin; Smits, Guillaume; Lenaerts, Tom
OLIDA: a FAIR, Community-driven Oligogenic Diseases Database Miscellaneous
2020, (Conference: All hands ELIXIR conference(6: 8-10/6/2020: virtual)).
@misc{info:hdl:2013/336160,
title = {OLIDA: a FAIR, Community-driven Oligogenic Diseases Database},
author = {Arnau Dillen and Charlotte Nachtegael and Alexandre Renaux and Sofia Papadimitriou and Nassim Versbraegen and Robin Petit and Guillaume Smits and Tom Lenaerts},
url = {http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/336160},
year = {2020},
date = {2020-01-01},
note = {Conference: All hands ELIXIR conference(6: 8-10/6/2020: virtual)},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Monterro-Porras, Eladio; Gallotti, Riccardo; Lenaerts, Tom; Grujić, Jelena
A quantitative analysis of the deliberation process of different age groups Miscellaneous
2020, (Conference: CITIZEN SOCIAL SCIENCE & COMPLEX SYSTEMS SCIENCE, Satellite workshop at the international Conference on Complex System(10: 9/12/2020: online)).
@misc{info:hdl:2013/336165,
title = {A quantitative analysis of the deliberation process of different age groups},
author = {Eladio Monterro-Porras and Riccardo Gallotti and Tom Lenaerts and Jelena Grujić},
url = {http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/336165},
year = {2020},
date = {2020-01-01},
note = {Conference: CITIZEN SOCIAL SCIENCE & COMPLEX SYSTEMS SCIENCE, Satellite workshop at the international Conference on Complex System(10: 9/12/2020: online)},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Domingos, Elias Fernández; Gruji'c, Jelena; Burguillo, Juan Carlos; Kirchsteiger, Georg; Santos, Francisco C; Lenaerts, Tom
Timing Uncertainty Encourages Group Reciprocation and Polarisation in Collective Risk Dilemmas Miscellaneous
2020, (Conference: International Conference on Complex Systems(10: 27-31/7/2020: online)).
@misc{info:hdl:2013/336162,
title = {Timing Uncertainty Encourages Group Reciprocation and Polarisation in Collective Risk Dilemmas},
author = {Elias Fernández Domingos and Jelena Gruji'c and Juan Carlos Burguillo and Georg Kirchsteiger and Francisco C Santos and Tom Lenaerts},
url = {http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/336162},
year = {2020},
date = {2020-01-01},
note = {Conference: International Conference on Complex Systems(10: 27-31/7/2020: online)},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Domingos, Elias Fernández; Terrucha, Ines; Grujić, Jelena; Suchon, Remi; Burguillo, Juan Carlos; Santos, Francisco C.; Lenaerts, Tom
Coordinating human and agents in a collective-risk dilemma. Miscellaneous
2020, (Conference: Workshop on Cooperative AI at the 34th Conference on Neural Information Processing Systems.(34: 6-12/12/2020: online)).
@misc{info:hdl:2013/336164,
title = {Coordinating human and agents in a collective-risk dilemma.},
author = {Elias Fernández Domingos and Ines Terrucha and Jelena Grujić and Remi Suchon and Juan Carlos Burguillo and Francisco C. Santos and Tom Lenaerts},
url = {http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/336164},
year = {2020},
date = {2020-01-01},
note = {Conference: Workshop on Cooperative AI at the 34th Conference on Neural Information Processing Systems.(34: 6-12/12/2020: online)},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Monterro-Porras, Eladio; Gallotti, Riccardo; Lenaerts, Tom; Grujić, Jelena
2020, (Conference: 9th International Conference on Complex Networks and their Applications(9: 1-3/12/2020: Madrid, Spain)).
@misc{info:hdl:2013/336163,
title = {Networks make us more cautious: using Drift Diffusion Model to measure the learning process in Prisoner's Dilemma on different network topologies.},
author = {Eladio Monterro-Porras and Riccardo Gallotti and Tom Lenaerts and Jelena Grujić},
url = {http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/336163},
year = {2020},
date = {2020-01-01},
note = {Conference: 9th International Conference on Complex Networks and their Applications(9: 1-3/12/2020: Madrid, Spain)},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Han, The Anh T. A. H.; Santos, Francisco C; Pereira, Luís Moniz; Lenaerts, Tom
A Regulation Dilemma in Artificial Intelligence Development Miscellaneous
2020, (Conference: The Artificial Life Conference(19-23/7/2021: Prague, Czech Republic)).
@misc{info:hdl:2013/336171,
title = {A Regulation Dilemma in Artificial Intelligence Development},
author = {The Anh T. A. H. Han and Francisco C Santos and Luís Moniz Pereira and Tom Lenaerts},
url = {http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/336171},
year = {2020},
date = {2020-01-01},
note = {Conference: The Artificial Life Conference(19-23/7/2021: Prague, Czech Republic)},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}