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Personal profile

Education/Academic qualification

Doctor of Science, UniversitéCatholique de Louvain

Fingerprint Dive into the research topics where BENOIT FRENAY is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Learning systems Engineering & Materials Science
Feature extraction Engineering & Materials Science
Labels Engineering & Materials Science
Electrocardiography Engineering & Materials Science
Neural networks Engineering & Materials Science
Visualization Engineering & Materials Science
Hidden Markov models Engineering & Materials Science
Artificial intelligence Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2018 2021

Research Output 2007 2020

De-constructing Media-fueled Conceptions on Artificial Intelligence by Playing “Who’s who?”

Collard, A-S., Henry, J., Hernalesteen, A., Jacques, J. & Frenay, B., 2020, Proceedings of Media Education Summitt 2020.

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

File

About Filter Criteria for Feature Selection in Regression

Degeest, A., Verleysen, M. & Frénay, B., 1 Jan 2019, Advances in Computational Intelligence - 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Proceedings. Rojas, I., Joya, G. & Catala, A. (eds.). Springer Verlag, p. 579-590 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11507 LNCS).

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

Feature Selection
Learning systems
Feature extraction
Regression
Filter

BIR: A Method for Selecting the Best Interpretable Multidimensional Scaling Rotation using External Variables

Marion, R., Bibal, A. & Frenay, B., 4 Feb 2019, In : Neurocomputing. 342, p. 83-96 14 p.

Research output: Contribution to journalArticle

File
Ecology
Invariance
Psychology

Comparison Between Filter Criteria for Feature Selection in Regression

Degeest, A., Verleysen, M. & Frénay, B., 1 Jan 2019, Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning - 28th International Conference on Artificial Neural Networks, Proceedings. Tetko, I. V., Karpov, P., Theis, F. & Kurková, V. (eds.). Springer Verlag, p. 59-71 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11728 LNCS).

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

Feature Selection
Feature extraction
Filter Method
Regression
Filter
Open Access
File

Activities 2017 2019

  • 2 Public lecture/Debate
  • 2 Oral presentation

Dictionnaire bilingue contextuel : français - langue des signes de Belgique francophone

Laurence Meurant (Speaker), Anthony Cleve (Speaker), Benoît Frenay (Speaker), Jérôme Fink (Speaker), Sibylle Fonze (Speaker), Alice Heylens (Speaker)
19 Dec 2019

Activity: Talk or presentation typesOral presentation

School Education Transformation Technology

Julie Henry (Organiser), Fanny Boraita (Organiser), Benoît Frenay (Organiser), Vincent Englebert (Organiser), Anne-Sophie Collard (Organiser), Kathleen De Grove (Organiser), Éric Willems (Organiser)
25 Apr 201926 Apr 2019

Activity: Participating in or organising an event typesPublic lecture/Debate

IDC 2018

Anne-Sophie Collard (Speaker), Bruno Dumas (Speaker), Benoît Frenay (Speaker), Julie Henry (Speaker), Anne Smal (Speaker), Alyson Hernalesteen (Speaker)
19 Jun 201822 Jun 2018

Activity: Talk or presentation typesOral presentation

Printemps des sciences 2017

Bruno Dumas (Speaker), Philippe Thiran (Speaker), Benoît Frenay (Speaker), Florence Hainaut (Speaker)
23 Mar 2017

Activity: Participating in or organising an event typesPublic lecture/Debate

Thesis

Algorithms for the Partition and Labelling of Natural Language Document Sets

Author: Puissant, J., 21 Jun 2017

Supervisor: Cleve, A. (President) & Frenay, B. (Supervisor)

Student thesis: Master typesMaster in Computer science

File

Analyzing, Understanding and Supporting the Evolution of Dynamic and Heterogeneous Data-Intensive Software Systems

Author: Meurice, L., 22 Jun 2017

Supervisor: Cleve, A. (Supervisor), Englebert, V. (President), Lanza, M. (External person) (Jury), Mens, T. (External person) (Jury), Frenay, B. (Jury) & Vanhoof, W. (Jury)

Student thesis: Doc typesDoctor of Sciences

File

Clustering with Decision Trees: Divisive and Agglomerative Approach

Author: Castin, L., 29 Aug 2017

Supervisor: Jacquet, J. (President) & Frenay, B. (Supervisor)

Student thesis: Master typesMaster in Computer science

File

Deep Learning Applied to Code Analysis

Author: Genin, S., 3 Sep 2019

Supervisor: Frenay, B. (Supervisor) & Vanderose, B. (Supervisor)

Student thesis: Master typesMaster in Computer Science Professional focus in Data Science

File

Design and Testing of an Architecture for Deep Learning Experiments Applied to Sign Language Recognition

Author: Fink, J., 14 Jun 2019

Supervisor: Cleve, A. (Supervisor) & Frenay, B. (Co-Supervisor)

Student thesis: Master typesMaster in Computer Science Professional focus in Data Science

File