Amal Feriani

Orcid: 0000-0001-7368-2792

According to our database1, Amal Feriani authored at least 19 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Device-Free Human State Estimation using UWB Multi-Static Radios.
CoRR, 2024

2023
Reinforcement learning for communication load balancing: approaches and challenges.
Frontiers Comput. Sci., 2023

SAGE: Smart home Agent with Grounded Execution.
CoRR, 2023

Channel Estimation in RIS-Enabled mmWave Wireless Systems: A Variational Inference Approach.
CoRR, 2023

CeBed: A Benchmark for Deep Data-Driven OFDM Channel Estimation.
CoRR, 2023

Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issues.
IEEE Commun. Surv. Tutorials, 2023

Mixed-Variable PSO with Fairness on Multi-Objective Field Data Replication in Wireless Networks.
Proceedings of the IEEE International Conference on Communications, 2023

Variational Inference-Based Channel Estimation for Reconfigurable Intelligent Surface-Aided Wireless Systems.
Proceedings of the IEEE International Conference on Communications, 2023

Continual Learning-Based MIMO Channel Estimation: A Benchmarking Study.
Proceedings of the IEEE International Conference on Communications, 2023

2022
Multiobjective Load Balancing for Multiband Downlink Cellular Networks: A Meta- Reinforcement Learning Approach.
IEEE J. Sel. Areas Commun., 2022

A 35-Year Longitudinal Analysis of Dermatology Patient Behavior across Economic & Cultural Manifestations in Tunisia, and the Impact of Digital Tools.
CoRR, 2022

Dynamic Noises of Multi-Agent Environments Can Improve Generalization: Agent-based Models meets Reinforcement Learning.
CoRR, 2022

A 35-Year Longitudinal Analysis of Dermatology Patient Behavior Across Economic and Cultural Manifestations in Tunisia, and the Impact of Digital Tools.
Proceedings of the Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging, 2022

2021
On the Robustness of Deep Reinforcement Learning in IRS-Aided Wireless Communications Systems.
CoRR, 2021

Decentralized Multi-Agent Reinforcement Learning for Task Offloading Under Uncertainty.
CoRR, 2021

Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial.
IEEE Commun. Surv. Tutorials, 2021

2020
Tracking Pandemics: A MEC-Enabled IoT Ecosystem with Learning Capability.
IEEE Internet Things Mag., 2020

2019
Hacking Google reCAPTCHA v3 using Reinforcement Learning.
CoRR, 2019

DVOLVER: Efficient Pareto-Optimal Neural Network Architecture Search.
CoRR, 2019


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