output
20102024
most citedArtificial Intelligence based Anomaly Detection of Energy Consumption in Buildings: A Review, Current Trends and New Perspectives

654 citations

26 papers

cs.LG2024

Game Theory Meets Statistical Mechanics in Deep Learning Design

Djamel Bouchaffra, Fayçal Ykhlef, Bilal Faye +2

We present a novel deep graphical representation that seamlessly merges principles of game theory with laws of statistical mechanics. It performs feature extraction, dimensionality…

astro-ph.IM2024★ 32 cited

EUSO-SPB1 Mission and Science

EUSO Collaboration, G. Abdellaoui, S. Abe +292

The Extreme Universe Space Observatory on a Super Pressure Balloon 1 (EUSO-SPB1) was launched in 2017 April from Wanaka, New Zealand. The plan of this mission of opportunity on a N…

stat.ML2023

Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning

Reda Khoufache, Mustapha Lebbah, Hanene Azzag +2

Dirichlet Process Mixture Models (DPMMs) are widely used to address clustering problems. Their main advantage lies in their ability to automatically estimate the number of clusters…

astro-ph.IM2023★ 11 cited

Developments and results in the context of the JEM-EUSO program obtained with the ESAF Simulation and Analysis Framework

S. Abe, J. H. Adams, D. Allard +172

JEM--EUSO is an international program for the development of space-based Ultra-High Energy Cosmic Ray observatories. The program consists of a series of missions which are either u…

cs.CR2023★ 10 cited

Novel Area-Efficient and Flexible Architectures for Optimal Ate Pairing on FPGA

Oussama Azzouzi, Mohamed Anane, Mouloud Koudil +2

While FPGA is a suitable platform for implementing cryptographic algorithms, there are several challenges associated with implementing Optimal Ate pairing on FPGA, such as security…

cs.CV2023

Context Normalization Layer with Applications

Bilal Faye, Mohamed-Djallel Dilmi, Hanane Azzag +2

Normalization is a pre-processing step that converts the data into a more usable representation. As part of the deep neural networks (DNNs), the batch normalization (BN) technique…