Accueil › Annuaire des chercheurs › Hela Ltifi
Hela Ltifi
Affiliation : University of Sfax · Faculté des Sciences et Techniques de Sidi Bouzid · University of Kairouan
- 120Publications (affiliation tunisienne)
- 138Publications au total
- 976Citations
- 18Indice h
Profil de recherche
Hela Ltifi compte 120 publications référencées (2016–2026). Ses travaux paraissent principalement dans « International Conference on Agents and Artificial Intelligence (ICAART) », « International Conference on Control, Decision and Information Technologies (CoDIT) » et « Lecture notes in networks and systems ». Son article le plus cité, « Enhancing accuracy and interpretability in EEG-based medical decision making using an explainable ensemble learning framework application fo » (2023), a été cité 74 fois. 47 de ces publications datent des trois dernières années d’activité. Ses travaux sont cosignés avec au moins 12 chercheurs, notamment dans des établissements de France, Arabie saoudite, Afrique du Sud, Émirats arabes unis.
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Créer mon profil gratuit Ajouter mes publicationsDomaines de recherche
- Data Mining Algorithms and Applications
- Data Visualization and Analytics
- Artificial Intelligence in Healthcare
- EEG and Brain-Computer Interfaces
- Neural Networks and Reservoir Computing
Publications (120)
- Strategic Model Compression for Sustainable and Societal AI: When to Prune, Quantize, and Optimize
- Interpretable Brain Network Analysis for Psychiatric Diagnosis Using Fuzzy Logic
- Prompt-Driven Knowledge Retrieval in Arabic Medical Agents via Graph-RAG and LLM
- A Novel Hybrid Deep Learning Model for Context-Aware Subjectivity Classification of Textual Data
- I-SteganoGAN++: Fusion-Encoder and Dual-Attention Decoder for High-Capacity Generative Steganography
- Interpretable Major Depressive Disorder Classification from Resting-State fMRI via Causality-Inspired Graph Mamba
- Towards Interpretable Deep Learning for Early Alzheimer’s Diagnosis: An Improved YOLOv8 Framework with Grad-CAM Validation
- Dual-side Control for Coordinated Attack Detection in Federated Learning
- Container-based Machine Learning-Driven Routing Framework for Adaptive Traffic Management in Real-World SDN Environments
- Advanced Brain Tumor Segmentation With a Multiscale CNN and Conditional Random Fields
- Explainable Grouped Deep Echo State Network for EEG-based emotion recognition
- Federated Machine Learning Framework for Soil Classification in Smart Agriculture
- Quantum-enhanced cortical deep echo state network for fast and accurate speech emotion recognition
- Enhanced YOLOv8 Framework for Early Detection of Alzheimer's Disease Using MRI Scans
- A new parallel-path ConvMixer neural network for predicting neurodegenerative diseases from gait analysis
- A Federated Multi-Model DL Framework for Early Alzheimer’s Disease Prediction with Preserving and Explainability Features
- Comparative Analysis of CNNs and Vision Transformer Models for Brain Tumor Detection
- MLRouter: A Learning-Based Traffic Classification within a Congestion-Aware Link-State Routing Protocol in SDN
- AFA-DPD: Adaptive Federated Approach using Data Poisoning Detection
- Explainable Graph Neural Networks for Psychiatry Disorder Diagnosis Using Brain Networks
- Refining High-Quality Labels Using Large Language Models to Enhance Node Classification in Graph Echo State Network
- Exploring Feature Extraction Techniques and SVM for Facial Recognition with Image Generation Using Diffusion Models
- Adaptive Weight Learning with PSO for Filter Pruning in Deep Learning Models
- Emotion recognition with EEG signals using an insightful adapted echo state network framework
- Short-Term Residential Load Forecasting with Machine Learning Using Smart Meter and Weather Data
- Intrusion Detection System Based on Federated Learning for Distributed 5G/6G Network Architectures
- Attention-Optimized Fusion of Multiple Data Modalities for Psychological Disorder Assessment
- Interpretable Fuzzy-ELSTM Framework for EEG-Based Stroke Prediction
- Newman-Watts-Strogatz topology in deep echo state networks for speech emotion recognition
- Enhanced Brain Tumor Detection Using Integrated CNN-ViT Framework: A Novel Approach for High-Precision Medical Imaging Analysis
- Sentiment analysis deep learning model based on a novel hybrid embedding method
- Topology-adaptive Bayesian optimization for deep ring echo state networks in speech emotion recognition
- Hybrid Quanvolutional Echo State Network for Time Series Prediction
- Classification of Alzheimer’s Disease with Transfer Learning Using Deep Learning Models
- On the Effect of Quantization on Deep Neural Networks Performance
- Deep learning-based Soft word embedding approach for sentiment analysis
- An Improved Eulerian Echo State Network for Static Temporal Graphs
- S2SDeepArr: Sequence To Sequence Deep Learning Architecture for Arrhythmia Detection Under the Inter-patient Paradigm
- Optimizing Facial Detection Using Hybrid HOG-SVM Method
- Temporal Focal Modulation Networks for EEG-Based Cross-Subject Motor Imagery Classification
- Deep-Net: Brain Lesion Segmentation with 3D CNN and Residual Connections
- Inception residual network for brain tumor segmentation
- A BPMN-Based Multi-tenant Customizable SaaS Application: A FARUL3S Case Study
- A Multi-view Spatio-Temporal EEG Feature Learning for Cross-Subject Motor Imagery Classification
- New Methodology for Attack Patterns Classification in Deep Brain Stimulation
- A 3D Deep CNN Network-based Data Hiding Scheme for Images
- Ensemble Multi-task Learning Approach for Explainable EEG-Based Stroke Prediction
- Enhancing accuracy and interpretability in EEG-based medical decision making using an explainable ensemble learning framework application for stroke prediction
- Deep Learning and Machine Learning for Malaria Detection: Overview, Challenges and Future Directions
- Echo State Network Optimization: A Systematic Literature Review
- Novel diversified echo state network for improved accuracy and explainability of EEG-based stroke prediction
- Neural style transfer generative adversarial network (NST-GAN) for facial expression recognition
- HSV-Net: A Custom CNN for Malaria Detection with Enhanced Color Representation
- A new approach to video steganography models with 3D deep CNN autoencoders
- An Improved Multi-image Steganography Model Based on Deep Convolutional Neural Networks
- Xavier-PSO-ELM-based EEG signal classification method for predicting epileptic seizures
- An Improved Model for Semantic Segmentation of Brain Lesions Using CNN 3D
- Decision-making based on an improved visual analytics approach for emotion prediction
- PSO-K2PC: Bayesian structure learning using optimized K2 algorithm for parents-children detection
- An Improved Approach for Parkinson’s Disease Classification Based on Convolutional Neural Network
- ECG classification with learning ensemble based on symbolic discretization
- SA-K2PC: Optimizing K2PC with Simulated Annealing for Bayesian Structure Learning
- FARUL3S: a New Framework for Agile Regulated Ultra-Large-Scale Software Systems
- DI-ESN: Dual Input-Echo State Network for Time Series Forecasting
- An ensemble learning algorithm based on discretized Time Series: application on smartphone-inertial measurement
- NeuroMorphNet: A Multiscale Convolutional Neural Network for High-Precision Brain Tumor Segmentation in 3D Medical Images
- Improving Malaria Detection Using L1 Regularization Neural Network
- Optimized Echo State Network based on PSO and Gradient Descent for Choatic Time Series Prediction
- A hybrid model based on bidirectional long-short term memory and support vector machine for rest tremor classification
- A Hybrid Model based on Convolutional Neural Networks and Long Short-term Memory for Rest Tremor Classification
- k-means and fuzzy c-means fusion for object clustering
- Echo State Network Optimization: A Systematic Literature Review
- A Novel Deep Multi-Task Learning to Sensing Student Engagement in E-Learning Environments
- Bayesian model construction based on data-experts oriented approaches for assessing the phosphate effluents effects
- FARUL3S: a New Framework for Agile Regulated Ultra-Large-Scale Software Systems
- Bayesian Hyperparameter Optimization of Deep Neural Network Algorithms Based on Ant Colony Optimization
- Improved Visual Analytic Process Under Cognitive Aspects
- FARUL3S: a New Framework for Agile Regulated Ultra-Large-Scale Software Systems
- FARUL3S: a New Framework for Agile Regulated Ultra-Large-Scale Software Systems
- FARUL3S: a New Framework for Agile Regulated Ultra-Large-Scale Software Systems
- FARUL3S: a New Framework for Agile Regulated Ultra-Large-Scale Software Systems
- Agent-Based Intelligent Decision Support Systems: A Systematic Review
- Intelligent health monitoring system modeling based on machine learning and agent technology
- Survey on Visualization and Visual Analytics pipeline-based models: Conceptual aspects, comparative studies and challenges
- ITNO-K2PC: An improved K2 algorithm with information-theory-centered node ordering for structure learning
- Adapted Visual Analytics Process for Intelligent Decision-Making: Application in a Medical Context
- Design of Remote Heart Monitoring System for Cardiac Patients
- Facial Expression Recognition using Convolution Neural Network Enhancing with Pre-Processing Stages
- A Novel Bayesian Network Structure Learning Algorithm: Best Parents-Children
- A Predictive Visual Analytics Evaluation Approach Based on Adaptive Neuro-Fuzzy Inference System
- Multi-agent modelling of decision support systems based on visual data mining
- Modeling of distributed visual knowledge discovery from data process
- Comprehensive evaluation method of visual analytics tools based on fuzzy theory and artificial neural network
- Temporal Patterns Visualization for Knowledge Acquisition in Dynamic Decision-Making Environment
- Enhanced visual data mining process for dynamic decision-making
- Fuzzy logic–based evaluation of visualizations generated by intelligent decision support systems
- Visual Intelligent Decision Support Systems in the Medical Field: Design and Evaluation
- Visual Knowledge Generation from Data Mining Patterns for Decision-Making
- A visual modeling of knowledge for decision-making
- An Intelligent Agent based Architecture for Visual Data Mining
Revues de publication
- International Conference on Agents and Artificial Intelligence (ICAART) × 8
- International Conference on Control, Decision and Information Technologies (CoDIT) × 8
- Lecture notes in networks and systems × 8
- Lecture notes in computer science × 6
- Communications in computer and information science × 5
- Procedia Computer Science × 4
Publications par année
- 20269
- 202519
- 202419
- 202319
- 20229
- 20216
- 20204
- 20194
- 20181
- 20174
Collaborations
Établissements partenaires : University of Gafsa · Faculty of Sciences of Sfax · National School of Electronics and Telecommunications of Sfax, Tunisia · Faculty of Economics and Management of Sfax · University of Johannesburg
Pays des co-auteurs : France · Arabie saoudite · Afrique du Sud · Émirats arabes unis
Co-auteurs
- Mounir Ben Ayed
- Emna Benmohamed
- Mohamed Othmani
- Rebh Soltani
- Adel M. Alimi
- Hamdi Ellouzi
- Amira KSIKSI
- Samar Bouazizi
- Faten Khemakhem
- Safa Jraba
- Mohamed Elleuch
- Monji Kherallah
Données bibliographiques issues d’OpenAlex (base ouverte).
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