Séverine Affeldt

According to our database, Séverine Affeldt authored at least 23 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

WordGraph: A Python Package for Reconstructing Interactive Causal Graphical Models from Text Data.

Amine Ferdjaoui, Séverine Affeldt, Mohamed Nadif

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Modèles graphiques causaux interactifs pour les données textuelles.

Amine Ferdjaoui, Séverine Affeldt, Mohamed Nadif

Proceedings of the Extraction et Gestion des Connaissances, 2024

2023

Attentive Perturbation: Extending Prefix Tuning to Large Language Models Inner Representations.

Louis Falissard, Séverine Affeldt, Mohamed Nadif

Proceedings of the Machine Learning, Optimization, and Data Science, 2023

CORPEX : Analyse exploratoire d'un corpus biomédical à l'aide de la classification croisée.

Amine Ferdjaoui, Amira Tlati, Séverine Affeldt, Mohamed Nadif

Proceedings of the Extraction et Gestion des Connaissances, 2023

2022

CAEclust: A Consensus of Autoencoders Representations for Clustering.

Séverine Affeldt, Lazhar Labiod, Mohamed Nadif

Image Process. Line, 2022

A survey on machine learning methods for churn prediction.

Louis Geiler, Séverine Affeldt, Mohamed Nadif

Int. J. Data Sci. Anal., 2022

An effective strategy for churn prediction and customer profiling.

Louis Geiler, Séverine Affeldt, Mohamed Nadif

Data Knowl. Eng., 2022

Apprentissage machine pour la prédiction de l'attrition: une étude comparative.

Louis Geiler, Séverine Affeldt, Mohamed Nadif

Proceedings of the Extraction et Gestion des Connaissances, 2022

2021

Regularized bi-directional co-clustering.

Séverine Affeldt, Lazhar Labiod, Mohamed Nadif

Stat. Comput., 2021

Regularized Dual-PPMI Co-clustering for Text Data.

Séverine Affeldt, Lazhar Labiod, Mohamed Nadif

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Méthode ensemble de clustering profond.

Séverine Affeldt, Lazhar Labiod, Mohamed Nadif

Proceedings of the Extraction et Gestion des Connaissances, 2021

Approche ensemble pour le co-clustering par blocs sur des données textuelles: Application au biomédical.

Séverine Affeldt, Lazhar Labiod, Mohamed Nadif

Proceedings of the Extraction et Gestion des Connaissances, 2021

2020

Spectral clustering via ensemble deep autoencoder learning (SC-EDAE).

Séverine Affeldt, Lazhar Labiod, Mohamed Nadif

Pattern Recognit., 2020

Ensemble Block Co-clustering: A Unified Framework for Text Data.

Séverine Affeldt, Lazhar Labiod, Mohamed Nadif

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2018

MIIC online: a web server to reconstruct causal or non-causal networks from non-perturbative data.

Nadir Sella, Louis Verny, Guido Uguzzoni, Séverine Affeldt, Hervé Isambert

Bioinform., 2018

2017

Learning causal networks with latent variables from multivariate information in genomic data.

Louis Verny, Nadir Sella, Séverine Affeldt, Param Priya Singh, Hervé Isambert

PLoS Comput. Biol., 2017

Efficient global network learning from local reconstructions.

Séverine Affeldt, Nataliya Sokolovska, Edi Prifti, Jean-Daniel Zucker

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

3off2: A network reconstruction algorithm based on 2-point and 3-point information statistics.

Séverine Affeldt, Louis Verny, Hervé Isambert

BMC Bioinform., 2016

Spectral consensus strategy for accurate reconstruction of large biological networks.

Séverine Affeldt, Nataliya Sokolovska, Edi Prifti, Jean-Daniel Zucker

BMC Bioinform., 2016

2015

Network reconstruction and causal analysis in systems biology. (Reconstruction de réseaux fonctionnels et analyse causale en biologie des systèmes).

Séverine Affeldt

PhD thesis, 2015

Robust Reconstruction of Causal Graphical Models based on Conditional 2-point and 3-point Information.

Séverine Affeldt, Hervé Isambert

Proceedings of the UAI 2015 Workshop on Advances in Causal Inference co-located with the 31st Conference on Uncertainty in Artificial Intelligence (UAI 2015), 2015

2014

Human Dominant Disease Genes Are Enriched in Paralogs Originating from Whole Genome Duplication.

Param Priya Singh, Séverine Affeldt, Giulia Malaguti, Hervé Isambert

PLoS Comput. Biol., 2014

On the expansion of "dangerous" gene families in vertebrates.

Séverine Affeldt, Param Priya Singh, Giulia Malaguti, Hervé Isambert

BMC Bioinform., 2014