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Publications

Affichage des publications 321 à 330 sur 1098 au total

Computer Science

Data Clustering and Representation Learning Based on Networked Data

Abstract To deal simultaneously with both, the attributed network embedding and clustering, we propose a new model exploiting both content and structure information. The proposed model relies on the approximation of the relaxed continuous embedding…

Lazhar Labiod, Mohamed Nadif

The 17th conference of the International Federation of Classification Societies , 2022 -

Neuroscience

Tilt perception is different in the pitch and roll planes in human

Neurophysiological tests probing the vestibulo-ocular, colic and spinal pathways are the gold standard to evaluate the vestibular system in clinics. In contrast, vestibular perception is rarely tested despite its potential usefulness in professional…

Dimitri Keriven Serpollet, David Hartnagel, Yannick James, Stéphane Buffat, Nicolas Vayatis, Ioannis Bargiotas, Pierre‐paul Vidal

Physiological Reports -

Computer Science

Towards a Bi-Stochastic Matrix Approximation of k-means and Some Variants

Abstract The k -means algorithm and some k -means variants have been shown to be useful and effective to tackle the clustering problem. In this paper we embed k -means variants in a bi-stochastic matrix approximation (BMA) framework. Then we derive…

Lazhar Labiod, Mohamed Nadif

The 17th conference of the International Federation of Classification Societies, IFCS 2022 -

Computer Science

Latent Block Regression Model

Abstract When dealing with high dimensional sparse data, such as in recommender systems,co-clustering turns out to be more beneficial than one-sided clustering, even if one is interested in clustering along one dimension only. Thereby, co…

Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif

The 17th conference of the International Federation of Classification Societies -

Machine Learning

A framework for paired-sample hypothesis testing for high-dimensional data

The standard paired-sample testing approach in the multidimensional setting applies multiple univariate tests on the individual features, followed by p-value adjustments. Such an approach suffers when the data carry numerous features. A number of…

Ioannis Bargiotas, Argyris Kalogeratos, Nicolas Vayatis

2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI) -

Computer Science

Detecting Bullying Tweets with LSTM and NLP: A Deep Learning Approach

Bullying on social media platforms is a growing concern due to its serious consequences for victims. However, detecting bullying content on social media platforms is challenging for researchers due to the large volume of data that needs to be…

Imen Chihi, Emmanuel Pajiep Njopnang, Osman Salem, Ahmed Mehaoua

33th Cryptology and Information Security Conference 2023 -