Séverine Affeldt

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 19

Top Venues

Pierre and Marie Curie University, Paris, France (PHD)

Education History

Pierre and Marie Curie University, Paris, France

PHD

Publications

Amine Ferdjaoui, Séverine Affeldt, Mohamed Nadif
WordGraph: A Python Package for Reconstructing Interactive Causal Graphical Models from Text Data. WSDM (2024)
Amine Ferdjaoui, Amira Tlati, Séverine Affeldt, Mohamed Nadif
CORPEX : Analyse exploratoire d'un corpus biomédical à l'aide de la classification croisée. EGC (2023)
Louis Falissard, Séverine Affeldt, Mohamed Nadif
Attentive Perturbation: Extending Prefix Tuning to Large Language Models Inner Representations. LOD (1) (2023)
Louis Geiler, Séverine Affeldt, Mohamed Nadif
An effective strategy for churn prediction and customer profiling. Data Knowl. Eng. 142 (2022)
Louis Geiler, Séverine Affeldt, Mohamed Nadif
A survey on machine learning methods for churn prediction. Int. J. Data Sci. Anal. 14 (3) (2022)
Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
CAEclust: A Consensus of Autoencoders Representations for Clustering. Image Process. Line 12 (2022)
Louis Geiler, Séverine Affeldt, Mohamed Nadif
Apprentissage machine pour la prédiction de l'attrition: une étude comparative. EGC (2022)
Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
Approche ensemble pour le co-clustering par blocs sur des données textuelles: Application au biomédical. EGC (2021)
Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
Regularized Dual-PPMI Co-clustering for Text Data. SIGIR (2021)
Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
Méthode ensemble de clustering profond. EGC (2021)
Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
Regularized bi-directional co-clustering. Stat. Comput. 31 (3) (2021)
Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
Ensemble Block Co-clustering: A Unified Framework for Text Data. CIKM (2020)
Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
Spectral clustering via ensemble deep autoencoder learning (SC-EDAE). Pattern Recognit. 108 (2020)
Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
Spectral Clustering via Ensemble Deep Autoencoder Learning (SC-EDAE). CoRR (2019)
Nadir Sella, Louis Verny, Guido Uguzzoni, Séverine Affeldt, Hervé Isambert
MIIC online: a web server to reconstruct causal or non-causal networks from non-perturbative data. Bioinform. 34 (13) (2018)
Séverine Affeldt, Nataliya Sokolovska, Edi Prifti, Jean-Daniel Zucker
Efficient global network learning from local reconstructions. IJCNN (2017)
Louis Verny, Nadir Sella, Séverine Affeldt, Param Priya Singh, Hervé Isambert
Learning causal networks with latent variables from multivariate information in genomic data. PLoS Comput. Biol. 13 (10) (2017)
Séverine Affeldt, Nataliya Sokolovska, Edi Prifti, Jean-Daniel Zucker
Spectral consensus strategy for accurate reconstruction of large biological networks. BMC Bioinform. 17 (S-16) (2016)
Séverine Affeldt, Louis Verny, Hervé Isambert
3off2: A network reconstruction algorithm based on 2-point and 3-point information statistics. BMC Bioinform. 17 (S-2) (2016)
Séverine Affeldt, Hervé Isambert
Robust Reconstruction of Causal Graphical Models based on Conditional 2-point and 3-point Information. ACI@UAI (2015)
Séverine Affeldt, Hervé Isambert
Robust reconstruction of causal graphical models based on conditional 2-point and 3-point information. UAI (2015)
Séverine Affeldt, Param Priya Singh, Giulia Malaguti, Hervé Isambert
On the expansion of "dangerous" gene families in vertebrates. BMC Bioinform. 15 (S-3) (2014)
Param Priya Singh, Séverine Affeldt, Giulia Malaguti, Hervé Isambert
Human Dominant Disease Genes Are Enriched in Paralogs Originating from Whole Genome Duplication. PLoS Comput. Biol. 10 (7) (2014)

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Publication Activity (10 Years)

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Séverine Affeldt