A Runtime Performance Analysis for Web Service-Based Applications. - Afef Mdhaffar; Soumaya Marzouk; Riadh Ben Halima; Mohamed Jmaiel (ICWE Workshops, 2010)

AOP4CSM: An Aspect-Oriented Programming Approach for Cloud Service Monitoring. - Afef Mdhaffar; Riadh Ben Halima; Ernst Juhnke; Mohamed Jmaiel; Bernd Freisleben (CIT, 2011)

A Comparative Study of the Current Cloud Computing Technologies and Offers. - Meriam Mahjoub; Afef Mdhaffar; Riadh Ben Halima; Mohamed Jmaiel (NCCA, 2011)

A Dynamic Complex Event Processing Architecture for Cloud Monitoring and Analysis. - Afef Mdhaffar; Riadh Ben Halima; Mohamed Jmaiel; Bernd Freisleben (CloudCom (2), 2013)

CEP4CMA: Multi-layer Cloud Performance Monitoring and Analysis via Complex Event Processing. - Afef Mdhaffar; Riadh Ben Halima; Mohamed Jmaiel; Bernd Freisleben (NETYS, 2014)

CEP4Cloud: Complex Event Processing for Self-Healing Clouds. - Afef Mdhaffar; Riadh Ben Halima; Mohamed Jmaiel; Bernd Freisleben (WETICE, 2014)

D-CEP4CMA: a dynamic architecture for cloud performance monitoring and analysis via complex event processing. - Afef Mdhaffar; Riadh Ben Halima; Mohamed Jmaiel; Bernd Freisleben (Int. J. Big Data Intell., 2014)

Cross-Layer Cloud Performance Monitoring, Analysis and Recovery. - Afef Mdhaffar (2015)

An Adaptive Scrum Model for Developing Disease Registries. - Hatem Bellaaj; Afef Mdhaffar; Mohamed Jmaiel; Bernd Freisleben (HEALTHINF, 2017)

IoT-based health monitoring via LoRaWAN. - Afef Mdhaffar; Tarak Chaari; Kaouthar Larbi; Mohamed Jmaiel; Bernd Freisleben (EUROCON, 2017)

Reactive performance monitoring of Cloud computing environments. - Afef Mdhaffar; Riadh Ben Halima; Mohamed Jmaiel; Bernd Freisleben (Clust. Comput., 2017)

An adaptive neuro-fuzzy inference system for improving data quality in disease registries. - Hatem Bellaaj; Afef Mdhaffar; Mohamed Jmaiel; Sondes Hdiji Mseddi; Bernd Freisleben (SAC, 2018)

A multi-criteria decision making approach for predicting cancer cell sensitivity to drugs. - Salma Daoud; Afef Mdhaffar; Bernd Freisleben; Mohamed Jmaiel (SAC, 2018)

A Convolutional Gated Recurrent Neural Network for Epileptic Seizure Prediction. - Abir Affes; Afef Mdhaffar; Chahnez Triki; Mohamed Jmaiel; Bernd Freisleben (ICOST, 2019)

DL4DED: Deep Learning for Depressive Episode Detection on Mobile Devices. - Afef Mdhaffar; Fedi Cherif; Yousri Kessentini; Manel Maalej; Jihen Ben Thabet; Mohamed Maalej; Mohamed Jmaiel; Bernd Freisleben (ICOST, 2019)

Q-Rank: Reinforcement Learning for Recommending Algorithms to Predict Drug Sensitivity to Cancer Therapy. - Salma Daoud; Afef Mdhaffar; Mohamed Jmaiel; Bernd Freisleben (IEEE J. Biomed. Health Informatics, 2020)

A Smart Trap for Counting Olive Moths Based on the Internet of Things and Deep Learning. - Afef Mdhaffar; Bechir Zalila; Racem Moalla; Ayoub Kharrat; Omar Rebai; Mohamed Melek Hsairi; Ahmed Sallemi; Hsouna Kobbi; Amel Kolsi; Dorsaf Chatti; Mohamed Jmaiel; Bernd Freisleben (AICCSA, 2022)

Disentangling temporal and amplitude variations in ECG synthesis using anchored GANs. - Nour Neifar; Afef Mdhaffar; Achraf Ben-Hamadou; Mohamed Jmaiel; Bernd Freisleben (SAC, 2022)

Personalized attention-based EEG channel selection for epileptic seizure prediction. - Abir Affes; Afef Mdhaffar; Chahnez Triki; Mohamed Jmaiel; Bernd Freisleben (Expert Syst. Appl., 2022)

InsectDSOT: A Neural Network for Insect Detection in Olive Trees. - Lotfi Souifi; Afef Mdhaffar; Ismael Bouassida Rodriguez; Mohamed Jmaiel; Bernd Freisleben (ICAART (2), 2023)

A Comparative Study of GAN Methods for Physiological Signal Generation. - Nour Neifar; Achraf Ben-Hamadou; Afef Mdhaffar; Mohamed Jmaiel; Bernd Freisleben (ICPRAM, 2023)

A review of usable EEG-based solutions for epileptic seizure prediction. - Abir Affes; Afef Mdhaffar; Mohamed Jmaiel; Bernd Freisleben (TACC, 2023)

DiffECG: A Generalized Probabilistic Diffusion Model for ECG Signals Synthesis. - Nour Neifar; Achraf Ben-Hamadou; Afef Mdhaffar; Mohamed Jmaiel (CoRR, 2023)

LIDL4Oliv: A Lightweight Incremental Deep Learning Model for Classifying Olive Diseases in Images. - Emna Guermazi 002; Afef Mdhaffar; Mohamed Jmaiel; Bernd Freisleben (ICAART (2), 2024)

Knowledge Distillation for Object Detection Using YOLO-NAS. - Emna Guermazi 002; Afef Mdhaffar; Mohamed Jmaiel; Bernd Freisleben (ICSOC Workshops (1), 2024)

DiffECG: A Versatile Probabilistic Diffusion Model for ECG Signals Synthesis. - Nour Neifar; Achraf Ben-Hamadou; Afef Mdhaffar; Mohamed Jmaiel (SERA, 2024)

Leveraging Statistical Shape Priors in GAN-Based ECG Synthesis. - Nour Neifar; Achraf Ben-Hamadou; Afef Mdhaffar; Mohamed Jmaiel; Bernd Freisleben (IEEE Access, 2024)

MulKD: Multi-layer Knowledge Distillation via collaborative learning. - Emna Guermazi 002; Afef Mdhaffar; Mohamed Jmaiel; Bernd Freisleben (Eng. Appl. Artif. Intell., 2024)

Leveraging Incremental Domain Adaptation in Olive Disease Detection. - Emna Guermazi 002; Afef Mdhaffar; Mohamed Jmaiel; Bernd Freisleben (AIAI (2), 2025)

FedKD4DD: Federated Knowledge Distillation for Depression Detection. - Aslam Jlassi; Afef Mdhaffar; Mohamed Jmaiel; Bernd Freisleben (ICAART (3), 2025)

Deep generative models for physiological signals: A systematic literature review. - Nour Neifar; Afef Mdhaffar; Achraf Ben-Hamadou; Mohamed Jmaiel (Artif. Intell. Medicine, 2025)