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Research Output 2007 2019

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Conference contribution
2019
3 Downloads (Pure)

Measuring Quality and Interpretability of Dimensionality Reduction Visualizations

Bibal, A. & Frenay, B., 2019, SafeML ICLR Workshop. New Orleans, Louisiana

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

Open Access
File
Visualization
Learning systems
3 Downloads (Pure)

User-Based Experiment Guidelines for Measuring Interpretability in Machine Learning

Bibal, A., Dumas, B. & Frenay, B., 2019, EGC Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence. Metz

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

Open Access
File
Learning systems
Human computer interaction
Experiments

User-steering Interpretable Visualization with Probabilistic Principal Components Analysis

Vu, V. M. & Frenay, B., 28 Mar 2019, ESANN 2019 - Proceedings: 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. i6doc.com publication, p. 349-354 6 p.

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

Open Access
File
Principal component analysis
Visualization
Learning systems
Feedback
2018
1 Downloads (Pure)

Comprendre l’ordinateur à travers un système informatique tangible, le micro:bit

Théate, N., Smal, A., Frenay, B. & Henry, J., 27 Mar 2018, Une école numérique pour émanciper ?: Colloque scientifique, Actes de la conférence. 4 p.

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

Open Access
File
5 Downloads (Pure)

Finding the Most Interpretable MDS Rotation for Sparse Linear Models based on External Features

Bibal, A., Marion, R. & Frenay, B., 2018, 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges, p. 537-542 7 p.

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

Open Access
File
6 Downloads (Pure)

Intelligence Artificielle: Éduquer pour modifier la représentation qu’en ont les jeunes

Olivier, B., Smal, A., Frenay, B. & Henry, J., 27 Mar 2018, Une école numérique pour émanciper ?: Colloque scientifique, Actes de la conférence. p. 34-37 4 p.

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

Open Access
File

Interaction and User Integration in Machine Learning for Information Visualisation

Dumas, B., Frenay, B. & Lee, J., 25 Apr 2018, ESANN 2018 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. i6doc.com.publ., p. 97-104 8 p. (ESANN 2018 - Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning).

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

Learning systems
Visualization
Navigation
Feedback
2017

Label-noise-tolerant classification for streaming data

Frenay, B. & Hammer, B., 30 Jun 2017, 2017 International Joint Conference on Neural Networks, IJCNN 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., Vol. 2017-May. p. 1748-1755 8 p. 7966062

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

Open Access
File
Labels
Vector quantization
Labeling
Learning systems
Big data
2016

Information Visualisation and Machine Learning: Characteristics, Convergence and Perspective

Frenay, B. & Dumas, B., 29 Apr 2016, ESANN 2016: Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. i6doc.com publication, p. 623-628 6 p.

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

Learning systems
Visualization
Data reduction
616 Downloads (Pure)

Interpretability of Machine Learning Models and Representations: an Introduction

Bibal, A. & Frenay, B., 2016, 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges, p. 77-82

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

Open Access
File
heuristics
learning
27 Downloads (Pure)

Introduction to Interpretability in Machine Learning

Bibal, A. & Frenay, B., 2016, BENELEARN 2016. Kortrijk

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

Open Access
File
21 Downloads (Pure)

Learning Interpretability for Visualizations using Adapted Cox Models through a User Experiment

Bibal, A. & Frenay, B., 2016, NIPS Workshop on Interpretable Machine Learning in Complex Systems. Barcelona

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

Open Access
File
Conservation
Visualization
Experiments

Robustifying Maximum Likelihood Inference

Frenay, B. & Verleysen, M., 2016, BENELEARN 2016. Kortrijk

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

2015

Feature ranking in changing environments where new features are introduced

Degeest, A., Verleysen, M. & Frénay, B., 28 Sep 2015, Proceedings of the International Joint Conference on Neural Networks. Institute of Electrical and Electronics Engineers Inc., Vol. 2015-September. p. 1-8 8 p. 7280533

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

Feature extraction
Learning systems
Sensors

Survival analysis with Cox regression and random non-linear projections

Branders, S., Frénay, B. & Dupont, P., 2015, 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015 - Proceedings. i6doc.com publication, p. 119-124 6 p.

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

Hazards