Afef Mdhaffar

Orcid: 0000-0002-5696-5771

According to our database1, Afef Mdhaffar authored at least 26 papers between 2010 and 2024.

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

Timeline

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Bibliography

2024
Leveraging Statistical Shape Priors in GAN-Based ECG Synthesis.
IEEE Access, 2024

LIDL4Oliv: A Lightweight Incremental Deep Learning Model for Classifying Olive Diseases in Images.
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

2023
Deep Generative Models for Physiological Signals: A Systematic Literature Review.
CoRR, 2023

DiffECG: A Generalized Probabilistic Diffusion Model for ECG Signals Synthesis.
CoRR, 2023

A review of usable EEG-based solutions for epileptic seizure prediction.
Proceedings of the Tunisian-Algerian Joint Conference on Applied Computing (TACC 2023), 2023

A Comparative Study of GAN Methods for Physiological Signal Generation.
Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023

InsectDSOT: A Neural Network for Insect Detection in Olive Trees.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

2022
Personalized attention-based EEG channel selection for epileptic seizure prediction.
Expert Syst. Appl., 2022

Disentangling temporal and amplitude variations in ECG synthesis using anchored GANs.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

A Smart Trap for Counting Olive Moths Based on the Internet of Things and Deep Learning.
Proceedings of the 19th IEEE/ACS International Conference on Computer Systems and Applications, 2022

2020
Q-Rank: Reinforcement Learning for Recommending Algorithms to Predict Drug Sensitivity to Cancer Therapy.
IEEE J. Biomed. Health Informatics, 2020

2019
DL4DED: Deep Learning for Depressive Episode Detection on Mobile Devices.
Proceedings of the How AI Impacts Urban Living and Public Health, 2019

A Convolutional Gated Recurrent Neural Network for Epileptic Seizure Prediction.
Proceedings of the How AI Impacts Urban Living and Public Health, 2019

2018
A multi-criteria decision making approach for predicting cancer cell sensitivity to drugs.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

An adaptive neuro-fuzzy inference system for improving data quality in disease registries.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

2017
Reactive performance monitoring of Cloud computing environments.
Clust. Comput., 2017

IoT-based health monitoring via LoRaWAN.
Proceedings of the IEEE EUROCON 2017 -17th International Conference on Smart Technologies, 2017

An Adaptive Scrum Model for Developing Disease Registries.
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017

2015
Cross-Layer Cloud Performance Monitoring, Analysis and Recovery.
PhD thesis, 2015

2014
D-CEP4CMA: a dynamic architecture for cloud performance monitoring and analysis via complex event processing.
Int. J. Big Data Intell., 2014

CEP4Cloud: Complex Event Processing for Self-Healing Clouds.
Proceedings of the 2014 IEEE 23rd International WETICE Conference, 2014

CEP4CMA: Multi-layer Cloud Performance Monitoring and Analysis via Complex Event Processing.
Proceedings of the Networked Systems - Second International Conference, 2014

2013
A Dynamic Complex Event Processing Architecture for Cloud Monitoring and Analysis.
Proceedings of the IEEE 5th International Conference on Cloud Computing Technology and Science, 2013

2011
A Comparative Study of the Current Cloud Computing Technologies and Offers.
Proceedings of the IEEE First Symposium on Network/Cloud Computing and Applications, 2011

AOP4CSM: An Aspect-Oriented Programming Approach for Cloud Service Monitoring.
Proceedings of the 11th IEEE International Conference on Computer and Information Technology, 2011

2010
A Runtime Performance Analysis for Web Service-Based Applications.
Proceedings of the Current Trends in Web Engineering, 2010


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