activity
20232026
most citedRevolutionizing Customer Interactions: Insights and Challenges in Deploying ChatGPT and Generative Chatbots for FAQs

4 citations · 10 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2026

An Agentic AI Pipeline for Appliance-Level Energy Anomaly Detection and LLM-Driven Recommendations

Dihia Falouz, Aida Douaibia, Amine Bechar +3

Appliance-level energy monitoring in office buildings produces noisy alerts that non-expert facility managers struggle to use. This paper proposes an end-to-end agentic pipeline th…

cs.LG2025

Federated Learning with Gramian Angular Fields for Privacy-Preserving ECG Classification on Heterogeneous IoT Devices

Youssef Elmir, Yassine Himeur, Abbes Amira

This study presents a federated learning (FL) framework for privacy-preserving electrocardiogram (ECG) classification in Internet of Things (IoT) healthcare environments. By transf…

cs.CV2024★ 2 cited

Federated and Transfer Learning for Cancer Detection Based on Image Analysis

Amine Bechar, Youssef Elmir, Yassine Himeur +2

This review article discusses the roles of federated learning (FL) and transfer learning (TL) in cancer detection based on image analysis. These two strategies powered by machine l…

cs.HC2023★ 4 cited

Revolutionizing Customer Interactions: Insights and Challenges in Deploying ChatGPT and Generative Chatbots for FAQs

Feriel Khennouche, Youssef Elmir, Nabil Djebari +2

In the rapidly evolving domain of artificial intelligence, chatbots have emerged as a potent tool for various applications ranging from e-commerce to healthcare. This research delv…

eess.IV2023★ 2 cited

Harnessing Transformers: A Leap Forward in Lung Cancer Image Detection

Amine Bechar, Youssef Elmir, Rafik Medjoudj +2

This paper discusses the role of Transfer Learning (TL) and transformers in cancer detection based on image analysis. With the enormous evolution of cancer patients, the identifica…

eess.SP2023★ 2 cited

ECG classification using Deep CNN and Gramian Angular Field

Youssef Elmir, Yassine Himeur, Abbes Amira

This paper study provides a novel contribution to the field of signal processing and DL for ECG signal analysis by introducing a new feature representation method for ECG signals.…