MulKD: Multi-layer Knowledge Distillation via Collaborative Learning
Engineering Applications of Artificial Intelligence, 133:108170, 2024. DOI: 10.1016/j.engappai.2024.108170, SJR (Scimago) 2022 Rank: Q1
Leveraging Statistical Shape Priors in GAN-based ECG Synthesis
IEEE Access, 12:36002–36015, 2024. DOI: 10.1109/ACCESS.2024.3373724, SJR (Scimago) 2022 Rank: Q1
Personalized Attention-based EEG Channel Selection for Epileptic Seizure Prediction
Expert Systems with Applications, 206:117733, 2022. DOI: 10.1016/j.eswa.2022.117733, SJR (Scimago) 2022 Rank: Q1
Q-Rank: Reinforcement Learning for Recommending Algorithms to Predict Drug Sensitivity to Cancer Therapy
IEEE Journal of Biomedical and Health Informatics, 24(11):3154–3161, 2020. DOI: 10.1109/JBHI.2020.3004663, SJR (Scimago) 2020 Rank: Q1
CEP4HFP: Complex Event Processing for Heart Failure Prediction
IEEE Transactions on NanoBioscience, 16(8):708–717, 2017. DOI: 10.1109/TNB.2017.27696714, SJR (Scimago) 2017 Rank: Q2
Reactive Performance Monitoring of Cloud Computing Environments
Cluster Computing, 20(3):2465–2477, 2017. DOI: 10.1007/s10586-016-0676-4, SJR (Scimago) 2017 Rank: Q2
D-CEP4CMA: A Dynamic Architecture for Cloud Performance Monitoring and Analysis via Complex Event Processing
The International Journal of Big Data Intelligence, 20(3):89–102, 2014. DOI: 10.1504/IJBDI.2014.063842
LIDL4Oliv: A Lightweight Incremental Deep Learning Model for Classifying Olive Diseases in Images
In Proceedings of the 16th International Conference on Agents and Artificial Intelligence (ICAART), volume 2, pages 583–594, Rome, Italy, 2024. SCITEPRESS. DOI: 10.5220/0012466900003636, CORE 2023 Rank: B. Best Industrial Paper Award.
A Review of Usable EEG-based Solutions for Epileptic Seizure Prediction
In Proceedings of the Tunisian-Algerian Joint Conference on Applied Computing (TACC), volume 3642 of CEUR Workshop Proceedings, pages 194–206, Sousse, Tunisia, 2023. CEUR-WS. DOI: https://ceur-ws.org/Vol-3642/paper17.pdf
InsectDSOT: A Neural Network for Insect Detection in Olive Trees
In Proceedings of the 15th International Conference on Agents and Artificial Intelligence (ICAART), volume 2, pages 334–342, Lisbon, Portugal, 2023. SCITEPRESS. DOI: 10.5220/0011789600003393, CORE 2023 Rank: B
A Comparative Study of GAN Methods for Physiological Signal Generation
In Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods (ICPRAM), pages 707–714, Lisbon, Portugal, 2023. SCITEPRESS. DOI: 10.5220/0011794200003411, CORE 2023 Rank: C
A Smart Trap for Counting Olive Moths Based on the Internet of Things and Deep Learning
In Proceedings of the 19th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA), pages 1–8, Abu Dhabi, UAE, 2022. IEEE. DOI: 10.1109/AICCSA56895.2022.10017905, CORE 2021/2023 Rank: C
A Systematic Literature Review on Insect Detection in Images
In Proceedings of the 8th International Conference on Signal, Image Processing and Embedded Systems (SIGEM), pages 41–56, Zurich, Switzerland, 2022. AIRCC Publishing Corporation. DOI: 10.5121/csit.2022.122003
Disentangling Temporal and Amplitude Variations in ECG Synthesis using Anchored GANs
In Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing (SAC), pages 645–652, Virtual Event, 2022. ACM. DOI: 10.1145/3477314.3507300
DL4DED: Deep Learning for Depressive Episode Detection on Mobile Devices
In Proceedings of the 17th International Conference on Smart Homes and Health Telematics: How AI Impacts Urban Living and Public Health (ICOST), Lecture Notes in Computer Science, pages 109–121, New York City, NY, USA, 2019. Springer. DOI: 10.1007/978-3-030-32785-9_10, CORE 2018-2020 Rank: C
A Convolutional Gated Recurrent Neural Network for Epileptic Seizure Prediction
In Proceedings of the 17th International Conference on Smart Homes and Health Telematics: How AI Impacts Urban Living and Public Health (ICOST), Lecture Notes in Computer Science, pages 85–96, New York City, NY, USA, 2019. Springer. DOI: 10.1007/978-3-030-32785-9_8, CORE 2018-2020 Rank: C
A Multi-Criteria Decision Making Approach for Predicting Cancer Cell Sensitivity to Drugs
In Proceedings of the 33rd ACM/SIGAPP Symposium On Applied Computing (SAC), pages 47–53, Pau, France, 2018. DOI: 10.1145/3167132.3167134, CORE 2018 Rank: B
An Adaptive Neuro-Fuzzy Inference System for Improving Data Quality in Disease Registries
In Proceedings of the 33rd ACM/SIGAPP Symposium On Applied Computing (SAC), pages 30–33, Pau, France, 2018. DOI: 10.1145/3167132.3167376, CORE 2018 Rank: B
IoT-based Health Monitoring via LoRaWAN
In Proceedings of the 17th IEEE International Conference on Smart Technologies, pages 519–524, Ohrid, Macedonia, 2017. IEEE. DOI: 10.1109/EUROCON.2017.8011165
An Adaptive Scrum Model for Developing Disease Registries
In Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (HEALTHINF), pages 484–491, Porto, Portugal, 2017. DOI: 10.5220/0006297804840491, CORE 2017 Rank: C
CEP4Cloud: Complex Event Processing for Self-Healing Clouds
In Proceedings of the 23rd IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE 2014), pages 62–67, Parma, Italy, 2014. IEEE Computer Society Press. DOI: 10.1109/WETICE.2014.56, CORE 2014 Rank: B. Best Paper Award.
CEP4CMA: Multi-layer Cloud Performance Monitoring and Analysis via Complex Event Processing
In Proceedings of the 2nd International Conference on NETworked sYStems (NETYS), pages 138–152, Marrakech, Morocco, 2014. Springer. DOI: 10.1007/978-3-319-09581-3_10
A Dynamic Complex Event Processing Architecture for Cloud Monitoring and Analysis
In Proceedings of the 5th IEEE International Conference on Cloud Computing Technology and Science (CloudCom), pages 270–275, Bristol, UK, 2013. IEEE Computer Society Press. DOI: 10.1109/CloudCom.2013.146, (Selection rate < 18%), CORE 2013 Rank: C
A Comparative Study of the Current Cloud Computing Technologies and Offers
In Proceedings of the First International Symposium on Network Cloud Computing and Applications, pages 131–134, Toulouse, France, 2011. IEEE Computer Society Press. DOI: 10.1109/NCCA.2011.28
AOP4CSM: An Aspect-Oriented Programming Approach for Cloud Service Monitoring
In Proceedings of the 11th IEEE International Conference on Computer and Information Technology (CIT), pages 363–370, Paphos, Cyprus, 2011. IEEE Computer Society Press. DOI: 10.1109/CIT.2011.67, CORE 2010-2013 Rank: C
A Runtime Performance Analysis for Web Service-Based Applications
In Proceedings of the 1st Workshop on Engineering SOA and the Web (ESW) Held in conjunction With the 10th International Conference on Web Engineering (ICWE), volume 6385 of Lecture Notes in Computer Science, pages 313–324, Vienna, Austria, 2010. Springer Berlin Heidelberg. DOI: 10.1007/978-3-642-16985-4_28, ERA 2010 Rank: C
A Software Architecture for Developing Disease Registries
Springer International Publishing, Cham, pages 205–228, 2021. DOI: 10.1007/978-3-030-81982-8_10
Investigation of Data Analysis Techniques in Real-world Scenarios: Challenges and Solutions
École Nationale d’Ingénieurs de Sfax, Sfax, Tunisia, HU Thesis, pages 1–118, 2023.
Cross-Layer Cloud Performance Monitoring, Analysis and Recovery
University of Marburg, Marburg, Germany, PhD Thesis, pages 1–157, 2014. DOI: 10.17192/z2014.0484
Définition et validation d’une approche d’analyse des services web mobiles
École Nationale d’Ingénieurs de Sfax, Sfax, Tunisia, Master Thesis, pages 1–74, 2023.
AirFit’s Journey: Milestones and Innovations in Progress
In Joint DAAD AirFit & LOEWE emergenCITY Workshop, Darmstadt, Germany, 2023.
Presentation of the AirFit’s project
In AirFit Project KickOff: Ready for Departure! Sfax, Tunisia, 2023.
AirFit: Air Quality Analytics for Personalized Health Recommendations
In Séminaire NETTUNIT: Net de l’Environnement Transfrontalière TUNisie–Italie, Hammamet, Tunisia, 2023.
A Smart Trap for Prayes Oleae Detection and Counting
In Second DAAD OLIVIA Workshop, Frankfurt, Germany, 2022.
OLIVIA: Intelligent Data Analytics for Optimizing Water Supply of Olive Trees
In Premier DAAD Workshop sur l’Agriculture Intelligente, Sfax, Tunisia, 2021.
Smart E-health Services for Treating Patients in Tunisia
In Workshop on Non-Invasive Health Monitoring, Sfax, Tunisia, 2019.
A Top-down Approach for Driver Well Being and Safety
In Fourth DAAD Workshop on E-health, Darmstadt, Germany, 2018.
Theralytics: Smart E-health Services for Treating patients in Tunisia
In DAAD COSIMENA Health Cluster, Cairo, Egypt, 2017.
A Self-Healing Approach for Cloud Computing Environments
In The Third DAAD Workshop on Service-oriented Distributed Software Architectures, Hammamet, Tunisia, 2011.
A Self-Repairing Architecture for Cloud Computing Environments
In The Second DAAD Workshop on Service-Oriented Distributed Software Architectures, Marrakech, Morroco, 2010.
ICT for Health
In Journées de l’École Doctorale Sciences et Technologies: JEDST 3.0, Sfax, Tunisia, 2022.
E-Health @CRNS
In 4ème Forum de la Santé Numérique, Hammamet, Tunisia, 2019.
A Cross-Layer Self-Repairing Architecture for Cloud Computing Environments
In METHODICA-I’2013, Sfax, Tunisia, 2013.
A Self-Healing Approach for Cloud Computing Environments
In METHODICA-I’2011, Sfax, Tunisia, 2011.
AirFit: Air Quality Analytics for Personalized Health Recommendations
In Strengthening Regional Cooperation in Higher Education. DAAD Ta’ziz Kick-Off Meeting, Amman, Jordan, 2023.
Toward A Dynamic Architecture for Cloud Monitoring and Analysis based on Complex Event Processing
In METHODICA-I’2013. ACM Tunisia Chapter, Sfax, Tunisia, 2013.
Design and Experimentation of a Self-Healing Architecture for Cloud Computing
In The Fourth Edition of the International Spring School on Distributed Systems, Marrakech, Morocco, 2011.