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20232026
most citedDecoding ChatGPT: A Taxonomy of Existing Research, Current Challenges, and Possible Future Directions

189 citations · 229 across the 26 of their papers we have counts for

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11 papers · 1 filter

cs.CV2023

Enhancing Kinship Verification through Multiscale Retinex and Combined Deep-Shallow features

El Ouanas Belabbaci, Mohammed Khammari, Ammar Chouchane +5

The challenge of kinship verification from facial images represents a cutting-edge and formidable frontier in the realms of pattern recognition and computer vision. This area of st…

cs.CY2023

Current Topological and Machine Learning Applications for Bias Detection in Text

Colleen Farrelly, Yashbir Singh, Quincy A. Hathaway +7

Institutional bias can impact patient outcomes, educational attainment, and legal system navigation. Written records often reflect bias, and once bias is identified; it is possible…

cs.CE2023

Quadrotor Experimental Dynamic Identification with Comprehensive NARX Neural Networks

Khaled Telli, Okba Kraa, Yassine Himeur +4

This research paper delves into the field of quadrotor dynamics, which are famous by their nonlinearity, under-actuation, and multivariable nature. Due to the critical need for pre…

eess.IV2023★ 7 cited

AI in Thyroid Cancer Diagnosis: Techniques, Trends, and Future Directions

Yassine Habchi, Yassine Himeur, Hamza Kheddar +5

There has been a growing interest in creating intelligent diagnostic systems to assist medical professionals in analyzing and processing big data for the treatment of incurable dis…

cs.CL2023★ 189 cited

Decoding ChatGPT: A Taxonomy of Existing Research, Current Challenges, and Possible Future Directions

Shahab Saquib Sohail, Faiza Farhat, Yassine Himeur +5

Chat Generative Pre-trained Transformer (ChatGPT) has gained significant interest and attention since its launch in November 2022. It has shown impressive performance in various do…

cs.CV2023★ 2 cited

Federated Learning for Computer Vision

Yassine Himeur, Iraklis Varlamis, Hamza Kheddar +5

Computer Vision (CV) is playing a significant role in transforming society by utilizing machine learning (ML) tools for a wide range of tasks. However, the need for large-scale dat…

cs.RO2023★ 3 cited

A Comprehensive Review of Recent Research Trends on UAVs

Kaled Telli, Okba Kraa, Yassine Himeur +4

The growing interest in unmanned aerial vehicles (UAVs) from both scientific and industrial sectors has attracted a wave of new researchers and substantial investments in this expa…

cs.CR2023

On the Sensitivity of Deep Load Disaggregation to Adversarial Attacks

Hafsa Bousbiat, Yassine Himeur, Abbes Amira +1

Non-intrusive Load Monitoring (NILM) algorithms, commonly referred to as load disaggregation algorithms, are fundamental tools for effective energy management. Despite the success…

cs.CV2023★ 2 cited

Unveiling the Invisible: Enhanced Detection and Analysis of Deteriorated Areas in Solar PV Modules Using Unsupervised Sensing Algorithms and 3D Augmented Reality

Adel Oulefki, Yassine Himeur, Thaweesak Trongtiraku +9

Solar Photovoltaic (PV) is increasingly being used to address the global concern of energy security. However, hot spot and snail trails in PV modules caused mostly by crakes reduce…

cs.CV2023

Improving CNN-based Person Re-identification using score Normalization

Ammar Chouchane, Abdelmalik Ouamane, Yassine Himeur +4

Person re-identification (PRe-ID) is a crucial task in security, surveillance, and retail analysis, which involves identifying an individual across multiple cameras and views. Howe…

cs.LG2023★ 7 cited

Crossing Roads of Federated Learning and Smart Grids: Overview, Challenges, and Perspectives

Hafsa Bousbiat, Roumaysa Bousselidj, Yassine Himeur +5

Consumer's privacy is a main concern in Smart Grids (SGs) due to the sensitivity of energy data, particularly when used to train machine learning models for different services. The…