Hanane Azzag

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 28

Top Topics

Nearest Neighbor

Multivariate Time Series

Multimodal Fusion

Top Venues

PAKDD (Workshops)

Publications

Bilal Faye, Hanane Azzag, Mustapha Lebbah, Djamel Bouchaffra
Context-Based Multimodal Fusion. CoRR (2024)
Bilal Faye, Hanane Azzag, Mustapha Lebbah
Cluster-Based Normalization Layer for Neural Networks. CoRR (2024)
Bilal Faye, Mustapha Lebbah, Hanane Azzag
Supervised Batch Normalization. CoRR (2024)
Bilal Faye, Hanane Azzag, Mustapha Lebbah, Mohamed Djallel Dilmi, Djamel Bouchaffra
Context Normalization Layer with Applications. ICDM (Workshops) (2023)
Bilal Faye, Mohamed Djallel Dilmi, Hanane Azzag, Mustapha Lebbah, Fangchen Feng
Context Normalization for Robust Image Classification. CoRR (2023)
Alex Mourer, Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille
Selecting the Number of Clusters K with a Stability Trade-off: An Internal Validation Criterion. PAKDD (1) (2023)
Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi, Anthony Coutant
Functional non-parametric latent block model: A multivariate time series clustering approach for autonomous driving validation. Comput. Stat. Data Anal. 176 (2022)
Abdellah Madane, Mohamed-djallel Dilmi, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jérôme Lacaille
Transformer-based conditional generative adversarial network for multivariate time series generation. CoRR (2022)
Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi, Anthony Coutant
Non-parametric Multivariate Time Series Co-clustering Model Applied to Driving-Assistance Systems Validation. AALTD@ECML/PKDD (2021)
Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi, Anthony Coutant
Multivariate Time Series Multi-Coclustering. Application to Advanced Driving Assistance System Validation. ESANN (2021)
Étienne Goffinet, Anthony Coutant, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi
Conditional Latent Block Model: a Multivariate Time Series Clustering Approach for Autonomous Driving Validation. CoRR (2020)
Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi
Autonomous Driving Validation with Model-Based Dictionary Clustering. ECML/PKDD (4) (2020)
Alex Mourer, Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille
Selecting the Number of Clusters K with a Stability Trade-off: an Internal Validation Criterion. CoRR (2020)
Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille
A Survey and Implementation of Performance Metrics for Self-Organized Maps. CoRR (2020)
Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi
Clustering de séries temporelles par construction de dictionnaire. EGC (2020)
Florent Forest, Alex Mourer, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille
An Invariance-guided Stability Criterion for Time Series Clustering Validation. ICPR (2020)
Gaël Beck, Tarn Duong, Mustapha Lebbah, Hanane Azzag, Christophe Cérin
A distributed approximate nearest neighbors algorithm for efficient large scale mean shift clustering. J. Parallel Distributed Comput. 134 (2019)
Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille
Deep Architectures for Joint Clustering and Visualization with Self-organizing Maps. PAKDD (Workshops) (2019)
Andriantsiory Dina Faneva, Mustapha Lebbah, Hanane Azzag, Gaël Beck
Algorithms for an Efficient Tensor Biclustering. CoRR (2019)
Andriantsiory Dina Faneva, Mustapha Lebbah, Hanane Azzag, Gaël Beck
Algorithms for an Efficient Tensor Biclustering. PAKDD (Workshops) (2019)
Gaël Beck, Tarn Duong, Mustapha Lebbah, Hanane Azzag, Christophe Cérin
A Distributed and Approximated Nearest Neighbors Algorithm for an Efficient Large Scale Mean Shift Clustering. CoRR (2019)
Gaël Beck, Tarn Duong, Mustapha Lebbah, Hanane Azzag
Nearest Neighbor Median Shift Clustering for Binary Data. CoRR (2019)
Gaël Beck, Hanane Azzag, Mustapha Lebbah, Tarn Duong
Mean-shift : Clustering scalable et distribué. EGC (2018)
Gaël Beck, Hanane Azzag, Stéphanie Bougeard, Mustapha Lebbah, Ndèye Niang
A New Micro-Batch Approach for Partial Least Square Clusterwise Regression. INNS Conference on Big Data (2018)
Mohammed Ghesmoune, Mustapha Lebbah, Hanane Azzag, Salima Benbernou, Mourad Ouziri, Tarn Duong
A Complete Data Science Work-flow For Insurance Field. IEEE BigData (2018)
Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah
Hierarchical Laplacian Score for unsupervised feature selection. IJCNN (2018)
Hippolyte Léger, Dominique Bouthinon, Mustapha Lebbah, Hanane Azzag
Nouveau modèle pour un passage à l'échelle de la 0-subsomption. EGC (2017)
Nesrine Masmoudi, Hanane Azzag, Mustapha Lebbah, Cyrille Bertelle, Maher Ben Jemaa
CL-AntInc Algorithm for Clustering Binary Data Streams Using the Ants Behavior. KES (2016)
Tugdual Sarazin, Hanane Azzag, Mustapha Lebbah
Modèle de Biclustering dans un paradigme "Mapreduce". EGC (2015)
Nesrine Masmoudi, Hanane Azzag, Mustapha Lebbah, Cyrille Bertelle, Maher Ben Jemaa
Clustering of Binary Data Sets Using Artificial Ants Algorithm. ICONIP (1) (2015)
Nhat-Quang Doan, Mohammed Ghesmoune, Hanane Azzag, Mustapha Lebbah
Growing Hierarchical Trees for Data Stream clustering and visualization. IJCNN (2015)
Nesrine Masmoudi, Hanane Azzag, Mustapha Lebbah, Cyrille Bertelle, Maher Ben Jemaa
How to use ants for data stream clustering. CEC (2015)
Mohammed Ghesmoune, Mustapha Lebbah, Hanane Azzag
Clustering topologique pour le flux de données. EGC (2015)
Nesrine Masmoudi, Hanane Azzag, Mustapha Lebbah, Cyrille Bertelle
Incremental clustering of data stream using real ants behavior. NaBIC (2014)
Tugdual Sarazin, Mustapha Lebbah, Hanane Azzag
Biclustering using Spark-MapReduce. IEEE BigData (2014)
Amine Chaibi, Hanane Azzag, Mustapha Lebbah
Pondération de blocs de variables en bi-partitionnement topologique. EGC (2014)
Tugdual Sarazin, Mustapha Lebbah, Hanane Azzag, Amine Chaibi
Feature Group Weighting and Topological Biclustering. ICONIP (2) (2014)
Tugdual Sarazin, Hanane Azzag, Mustapha Lebbah
SOM Clustering Using Spark-MapReduce. IPDPS Workshops (2014)
Amine Chaibi, Mustapha Lebbah, Hanane Azzag
Group Outlier factor: a New Score using Self-Organising Map for Group-Outlier and Novelty Detection. Int. J. Comput. Intell. Appl. 12 (2) (2013)
Amine Chaibi, Mustapha Lebbah, Hanane Azzag
A new bi-clustering approach using topological maps. IJCNN (2013)
Amine Chaibi, Mustapha Lebbah, Hanane Azzag
A New Visualization of Group-Outliers in Unsupervised Learning. IV (2013)
Amine Chaibi, Mustapha Lebbah, Hanane Azzag
Nouvelle approche de bi-partitionnement topologique. EGC (2013)
Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah
Sélection de variables non supervisée sous contraintes hiérarchiques. EGC (2013)
Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah, Guillaume Santini
Self-organizing trees for visualizing protein dataset. IJCNN (2013)
Nesrine Masmoudi, Hanane Azzag, Mustapha Lebbah, Cyrille Bertelle
Clustering using chemical and colonial odors of real ants. NaBIC (2013)
Hanane Azzag, Christiane Guinot, Gilles Venturini
An artificial ants model for fast construction and approximation of proximity graphs. Adapt. Behav. 20 (6) (2012)
Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah
Clustering multi-niveaux de graphes : hiérarchique et topologique. EGC (2012)
Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah
Graph Decomposition Using Self-organizing Trees. IV (2012)
Amine Chaibi, Mustapha Lebbah, Hanane Azzag
Novelty Detection Using a New Group Outlier Factor. ICONIP (3) (2012)
Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah
Growing Self-organizing Trees for knowledge discovery from data. IJCNN (2012)
Amine Chaibi, Hanane Azzag, Mustapha Lebbah
Automatic Group-Outlier Detection. ESANN (2012)
Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah
Self-Organizing Map and Tree Topology for Graph Summarization. ICANN (2) (2012)
Amine Chaibi, Mustapha Lebbah, Hanane Azzag
Détection de groupes outliers en classification non supervisée. EGC (2012)
Hanane Azzag, Mustapha Lebbah
Une nouvelle approche visuelle pour la classification hiérarchique et topologique. EGC (2011)
Hanane Azzag, Mustapha Lebbah
A New Way for Hierarchical and Topological Clustering. EGC (best of volume) (2011)
Lydia Boudjeloud, Hanane Azzag
A cooperative biomimetic approach for high dimensional data mining. GECCO (Companion) (2011)
Mustapha Lebbah, Hanane Azzag
Topological Hierarchical Tree Using Artificial Ants. ICONIP (1) (2010)
Lydia Boudjeloud-Assala, Hanane Azzag
Approche biomimétique coopérative pour la visualisation de grands graphes multidimensionels. EGC (2010)
Hanane Azzag, Mustapha Lebbah
Auto-organisation topologique et hiérarchique des données. EGC (2010)
Hanane Azzag, Mustapha Lebbah
A New Approach for Auto-organizing a Groups of Artificial Ants. ECAL (2) (2009)
Mustapha Lebbah, Hanane Azzag
Segmentation hiérarchique des cartes topologiques. EGC (2008)
Hanane Azzag, Mustapha Lebbah
Clustering of Self-Organizing Map. ESANN (2008)
Julien Lavergne, Hanane Azzag, Christiane Guinot, Gilles Venturini
Incremental Construction of Neighborhood Graphs Using the Ants Self-Assembly Behavior. ICTAI (1) (2007)
Hanane Azzag, Julien Lavergne, Christiane Guinot, Gilles Venturini
On building graphs of documents with artificial ants. WWW (2007)
Hanane Azzag, David Da Costa, Christiane Guinot, Gilles Venturini
Un aperçu de la fouille visuelle de données. AAFD (2006)