Search Results - "Azzag, Hanene"

Deep embedded self-organizing maps for joint representation learning and topology-preserving clustering by Forest, Florent, Lebbah, Mustapha, Azzag, Hanene, Lacaille, Jérôme

“…A recent research area in unsupervised learning is the combination of representation learning with deep neural networks and data clustering. The success of…”
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Transfer learning from synthetic labels for histopathological images classification by Dif, Nassima, Attaoui, Mohammed Oualid, Elberrichi, Zakaria, Lebbah, Mustapha, Azzag, Hanene

“…This study introduces a new strategy that combines unsupervised learning (clustering) and transfer learning. Clustering methods are employed to generate…”
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Subspace data stream clustering with global and local weighting models by Attaoui, Mohammed Oualid, Azzag, Hanene, Lebbah, Mustapha, Keskes, Nabil

“…Subspace clustering discovers clusters embedded in multiple, overlapping subspaces of high dimensional data. It has been successfully applied in many domains…”
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State-of-the-art on clustering data streams by Ghesmoune, Mohammed, Lebbah, Mustapha, Azzag, Hanene

“…Clustering is a key data mining task. This is the problem of partitioning a set of observations into clusters such that the intra-cluster observations are…”
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A new Growing Neural Gas for clustering data streams by Ghesmoune, Mohammed, Lebbah, Mustapha, Azzag, Hanene

“…Clustering data streams is becoming the most efficient way to cluster a massive dataset. This task requires a process capable of partitioning observations…”
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Regions of interest selection in histopathological images using subspace and multi-objective stream clustering by Attaoui, Mohammed Oualid, Dif, Nassima, Azzag, Hanene, Lebbah, Mustapha

“…The advances of deep learning in histopathology show the ability to assist pathologists in reducing workload and avoiding subjective decisions. Such algorithms…”
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Regions of interest selection in histopathological images using subspace and multi-objective stream clustering by Attaoui, Mohammed Oualid, Dif, Nassima, Azzag, Hanene, Lebbah, Mustapha

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Nearest neighbour estimators of density derivatives, with application to mean shift clustering by Duong, Tarn, Beck, Gaël, Azzag, Hanene, Lebbah, Mustapha

“…•NN estimators introduced for arbitrary derivative order of density function.•Efficient normal scale/rule of thumb choice of optimal number of NN.•Application…”
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Subspace data stream clustering with global and local weighting models by Attaoui, Mohammed Oualid, Azzag, Hanene, Lebbah, Mustapha, Keskes, Nabil

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Transfer learning from synthetic labels for histopathological images classification by Dif, Nassima, Attaoui, Mohammed Oualid, Elberrichi, Zakaria, Lebbah, Mustapha, Azzag, Hanene

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A hierarchical ant based clustering algorithm and its use in three real-world applications by Azzag, Hanene, Venturini, Gilles, Oliver, Antoine, Guinot, Christiane

“…In this paper is presented a new model for data clustering, which is inspired from the self-assembly behavior of real ants. Real ants can build complex…”
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Big Data: from collection to visualization by Ghesmoune, Mohammed, Azzag, Hanene, Benbernou, Salima, Lebbah, Mustapha, Duong, Tarn, Ouziri, Mourad

“…Organisations are increasingly relying on Big Data to provide the opportunities to discover correlations and patterns in data that would have previously…”
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A new approach of data clustering using a flock of agents by Picarougne, Fabien, Azzag, Hanene, Venturini, Gilles, Guinot, Christiane

“…This paper presents a new bio-inspired algorithm (FClust) that dynamically creates and visualizes groups of data. This algorithm uses the concepts of a flock…”
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An artificial ants model for fast construction and approximation of proximity graphs by Azzag, Hanane, Guinot, Christiane, Venturini, Gilles

“…In this paper we present a summary of our work which has led to the conception of a new model for the fast construction of proximity graphs. We present the…”
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Epigenetics Algorithms: Self-Reinforcement-Attention mechanism to regulate chromosomes expression by Dilmi, Mohamed Djallel, Azzag, Hanene, Lebbah, Mustapha

“…Genetic algorithms are a well-known example of bio-inspired heuristic methods. They mimic natural selection by modeling several operators such as mutation,…”
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Distributed MCMC inference for Bayesian Non-Parametric Latent Block Model by Khoufache, Reda, Belhadj, Anisse, Azzag, Hanene, Lebbah, Mustapha

“…In this paper, we introduce a novel Distributed Markov Chain Monte Carlo (MCMC) inference method for the Bayesian Non-Parametric Latent Block Model (DisNPLBM),…”
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Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning by Khoufache, Reda, Lebbah, Mustapha, Azzag, Hanene, Goffinet, Etienne, Bouchaffra, Djamel

“…Dirichlet Process Mixture Models (DPMMs) are widely used to address clustering problems. Their main advantage lies in their ability to automatically estimate…”
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Manual Verbalizer Enrichment for Few-Shot Text Classification by Nguyen, Quang Anh, Tomeh, Nadi, Lebbah, Mustapha, Charnois, Thierry, Azzag, Hanene, Muñoz, Santiago Cordoba

“…With the continuous development of pre-trained language models, prompt-based training becomes a well-adopted paradigm that drastically improves the…”
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A hierarchical ant based clustering algorithm and its use in three real-world applications by Azzag, Hanene, Venturini, Gilles, Olivier, Antoine, Guinot, Christiane

“…In this paper is presented a new model for data clustering, which is inspired from the self-assembly behavior of real ants. Real ants can build complex…”
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A hierarchical ant based clustering algorithm and its use in three real-world applications : Applications of Metaheuristics by AZZAG, Hanene, VENTURINI, Gilles, OLIVER, Antoine, GUINOT, Christiane

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