Search Results for author: Christel Vrain

Found 6 papers, 2 papers with code

Memory-efficient Continual Learning with Neural Collapse Contrastive

no code implementations3 Dec 2024 Trung-Anh Dang, Vincent Nguyen, Ngoc-Son Vu, Christel Vrain

Building on these insights, we propose Focal Neural Collapse Contrastive (FNC^2), a novel representation learning loss that effectively balances both soft and hard relationships.

Continual Learning Contrastive Learning +2

Towards Explainable Clustering: A Constrained Declarative based Approach

no code implementations26 Mar 2024 Mathieu Guilbert, Christel Vrain, Thi-Bich-Hanh Dao

In our framework an explanation of a cluster is a set of patterns, and we propose a novel interpretable constrained clustering method called ECS for declarative clustering with Explainabilty-driven Cluster Selection that integrates structural or domain expert knowledge expressed by means of constraints.

Constrained Clustering

Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets

1 code implementation28 Sep 2021 Antoine Guillaume, Christel Vrain, Elloumi Wael

Shapelet-based algorithms are widely used for time series classification because of their ease of interpretation, but they are currently outperformed by recent state-of-the-art approaches.

Classification Time Series +2

Predictive maintenance on event logs: Application on an ATM fleet

no code implementations22 Nov 2020 Antoine Guillaume, Christel Vrain, Elloumi Wael

Predictive maintenance is used in industrial applications to increase machine availability and optimize cost related to unplanned maintenance.

General Classification Time Series Analysis +1

Cannot find the paper you are looking for? You can Submit a new open access paper.