Computational Intelligence and Learning (CIL)
Site web
http://www.uclouvain.be/doctoralschool-cil
Comité scientifique
Porte-paroles : Michel Verleysen (
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), Pierre Dupont (
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).
Prof. Michel Verleysen (UCL) Prof. Marco Saerens (UCL) Prof. Pierre Dupont (UCL) Prof. Marco Dorigo (ULB) Prof. Gianluca Bontempi (ULB) Prof. Bernard Gosselin (FPMs) Prof. Jef Wijsen (UMH) Prof. Justus Piater (ULg) Prof. Hendrik Blockeel (KULeuven) Prof. Johan Suykens (KULeuven) Prof. Bart Goethals (Univ. Antwerpen) Prof. Brigitte Verdonk (Univ. Antwerpen) Prof. Bernard De Baets (Univ. Gent) Dr. Da Ruan (Univ. Gent) Prof. Bernard Manderick (VUB) Prof. Frank Neven (Univ. Hasselt)
Institutions et partenaires
- Fédération Wallonie-Bruxelles
Académie Universitaire Louvain: Université catholique de Louvain Facultés Universitaires Notre-Dame de la Paix Académie Universitaire Wallonie-Bruxelles Université Libre de Bruxelles Faculté Polytechnique de Mons Université de Mons-Hainaut Académie Wallonie-Europe Université de Liège Faculté Universitaire des Sciences Agronomiques de Gembloux
- Vlaamse Gemeenschap
Katholieke Universiteit Leuven Universiteit Antwerpen Universiteit Gent Vrije Universiteit Brussel Universiteit Hasselt
Equipes de recherche partenaires
UCL – Machine Learning Group http://www.ucl.ac.be/mlg/ UCL – Institute of Statistics http://www.stat.ucl.ac.be/ ULB – Machine Learning Group http://www.ulb.ac.be/di/mlg/ ULB – Information and Decision Systems/Systèmes Logiques et Numériques http://www.ulb.ac.be/polytech/sln ULB – IRIDIA http://iridia.ulb.ac.be/ ULB – Social Ecology http://www.ulb.ac.be/sciences/use/ FPMs – Circuit Theory and Signal Processing Lab. http://www.tcts.fpms.ac.be UMH – Information Systems Group (Service de Science des Systèmes d’Information) http://staff.umh.ac.be/WijsenJef/ FUNDP – Computer Sciences Institute - Human Computer Interface and Communication through Multimedia http://www.fundp.ac.be/recherche/unites/en/2984.html ULg – Department of Electrical Engineering and Computer Science - Research Unit in Systems and Modeling http://www.montefiore.ulg.ac.be/services/stochastic/new/ ULg – Department of Electrical Engineering and Computer Science - Signal and Image Exploitation (INTELSIG) http://www.montefiore.ulg.ac.be/~piater/ ULg – Department of Electrical Engineering and Computer Science - Research Unit in Networking (RUN) http://www.run.montefiore.ulg.ac.be/ FUSAG – Mechanics and Construction Department Marie-France Destain http://www.fsagx.ac.be/fac/fr/unites/me.asp K.U.Leuven - ESAT-SCD/SISTA http://www.esat.kuleuven.ac.be/sista-cosic-docarch/ K.U.Leuven – Declarative Languages and Artificial Intelligence http://www.cs.kuleuven.be/~dtai/ K.U.Leuven – Computational Neurosciences research group http://simone.neuro.kuleuven.be Universiteit Antwerpen – Center for Dutch Language and Speech Technology http://www.cnts.ua.ac.be/ Universiteit Antwerpen – Advanced Database Research and Modeling http://www.adrem.ua.ac.be/ Universiteit Antwerpen - Vision Lab http://webhost.ua.acbe/visielab/index.html Universiteit Gent – Fuzziness and Uncertainty Modeling Research Group http://www.fuzzy.ugent.be Universiteit Gent - KERMIT: Research Unit Knowledge-based Systems http://allserv.ugent.be/~bdebaets Universiteit Gent – Bioinformatics and Evolutionary Genomics (BEG) http://bioinformatics.psb.ugent.be Vrije Universiteit Brussel – Computational Modeling Lab (CoMo) http://como.vub.ac.be Vrije Universiteit Brussel – AI Laboratory http://arti.vub.ac.be/ Universiteit Hasselt – Theoretical Computer Science Group http://www.uhasselt.be/theocomp Universiteit Hasselt – Data analysis and modeling (DAM) http://www.uhasselt.be/dam
Objectifs scientifiques
Today, based on the advances in IT and digital data storage, in many industrial, economic, medical or other application areas, increasing amounts of signals, measurements, images and other types of data become available, implicitly describing underlying processes or structures. With this availability the potential – and need – arises for advanced intelligent tools to extract the underlying information, predict, diagnose, estimate or make use of it in some other way, in order to optimize or improve services. Since structure in this data is mostly hidden under noise, due to the stochastic nature of the processes and their measurement, robust and adaptive tools are needed that can cope with this nature.
"Computational intelligence and learning" intends answering to this need; it gathers research work carried out in various disciplines, with the objective of adding some form of intelligence or automatic learning of situations and properties in algorithms, data processing tasks, data mining, information extraction, etc. Computational intelligence and learning concerns disciplines and concepts such as machine learning, artificial neural networks, data mining, fuzzy logic, evolutionary computation, probabilistic techniques.
Rapport d'activités
Rapport CIL 2011 - Rapport CIL 2011 annexes
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