Séverine Affeldt

26 papers A* 1A 4B 1Journal 12Unranked 7
YearRankTypeTitle / Venue / Authors
2025 A conf
Cluster Insight: A Weighted Clustering Tool for Large Textual Data Exploration.
WSDM
Amine Ferdjaoui, Séverine Affeldt, Mohamed Nadif
2024 — conf
Modèles graphiques causaux interactifs pour les données textuelles.
EGC
Amine Ferdjaoui, Séverine Affeldt, Mohamed Nadif
2024 A conf
WordGraph: A Python Package for Reconstructing Interactive Causal Graphical Models from Text Data.
WSDM
Amine Ferdjaoui, Séverine Affeldt, Mohamed Nadif
2023 — conf
Attentive Perturbation: Extending Prefix Tuning to Large Language Models Inner Representations.
LOD (1)
Louis Falissard, Séverine Affeldt, Mohamed Nadif
2023 — conf
CORPEX : Analyse exploratoire d'un corpus biomédical à l'aide de la classification croisée.
EGC
Amine Ferdjaoui, Amira Tlati, Séverine Affeldt, Mohamed Nadif
2022 J jnl
A survey on machine learning methods for churn prediction.
Int. J. Data Sci. Anal.
Louis Geiler, Séverine Affeldt, Mohamed Nadif
2022 J jnl
An effective strategy for churn prediction and customer profiling.
Data Knowl. Eng.
Louis Geiler, Séverine Affeldt, Mohamed Nadif
2022 — conf
Apprentissage machine pour la prédiction de l'attrition: une étude comparative.
EGC
Louis Geiler, Séverine Affeldt, Mohamed Nadif
2022 J jnl
CAEclust: A Consensus of Autoencoders Representations for Clustering.
Image Process. Line
Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
2021 — conf
Approche ensemble pour le co-clustering par blocs sur des données textuelles: Application au biomédical.
EGC
Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
2021 — conf
Méthode ensemble de clustering profond.
EGC
Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
2021 A* conf
Regularized Dual-PPMI Co-clustering for Text Data.
SIGIR
Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
2021 J jnl
Regularized bi-directional co-clustering.
Stat. Comput.
Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
2020 A conf
Ensemble Block Co-clustering: A Unified Framework for Text Data.
CIKM
Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
2020 J jnl
Spectral clustering via ensemble deep autoencoder learning (SC-EDAE).
Pattern Recognit.
Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
2019 J jnl
Spectral Clustering via Ensemble Deep Autoencoder Learning (SC-EDAE).
CoRR
Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
2018 J jnl
MIIC online: a web server to reconstruct causal or non-causal networks from non-perturbative data.
Bioinform.
Nadir Sella, Louis Verny, Guido Uguzzoni, Séverine Affeldt, Hervé Isambert
2017 B conf
Efficient global network learning from local reconstructions.
IJCNN
Séverine Affeldt, Nataliya Sokolovska, Edi Prifti, Jean-Daniel Zucker
2017 J jnl
Learning causal networks with latent variables from multivariate information in genomic data.
PLoS Comput. Biol.
Louis Verny, Nadir Sella, Séverine Affeldt, Param Priya Singh, Hervé Isambert
2016 J jnl
3off2: A network reconstruction algorithm based on 2-point and 3-point information statistics.
BMC Bioinform.
Séverine Affeldt, Louis Verny, Hervé Isambert
2016 J jnl
Spectral consensus strategy for accurate reconstruction of large biological networks.
BMC Bioinform.
Séverine Affeldt, Nataliya Sokolovska, Edi Prifti, Jean-Daniel Zucker
2015 — —
Network reconstruction and causal analysis in systems biology. (Reconstruction de réseaux fonctionnels et analyse causale en biologie des systèmes).
Séverine Affeldt
2015 — conf
Robust Reconstruction of Causal Graphical Models based on Conditional 2-point and 3-point Information.
ACI@UAI
Séverine Affeldt, Hervé Isambert
2015 A conf
Robust reconstruction of causal graphical models based on conditional 2-point and 3-point information.
UAI
Séverine Affeldt, Hervé Isambert
2014 J jnl
Human Dominant Disease Genes Are Enriched in Paralogs Originating from Whole Genome Duplication.
PLoS Comput. Biol.
Param Priya Singh, Séverine Affeldt, Giulia Malaguti, Hervé Isambert
2014 J jnl
On the expansion of "dangerous" gene families in vertebrates.
BMC Bioinform.
Séverine Affeldt, Param Priya Singh, Giulia Malaguti, Hervé Isambert