Survey of information visualization techniques for exploitation in KDD. - Hela Ltifi; Mounir Ben Ayed; Adel M. Alimi; Sophie Lepreux (AICCSA, 2009)

HCI-enriched approach for DSS development: the UP/U approach. - Hela Ltifi; Mounir Ben Ayed; Christophe Kolski; Adel M. Alimi (ISCC, 2009)

Human-centred design approach applied to medical dynamic DSS. - Hela Ltifi; Christophe Kolski; Mounir Ben Ayed; Adel M. Alimi (IFAC HMS, 2010)

A user-centered approach for the design and implementation of KDD-based DSS: A case study in the healthcare domain. - Mounir Ben Ayed; Hela Ltifi; Christophe Kolski; Adel M. Alimi (Decis. Support Syst., 2010)

Démarche centrée utilisateur pour la conception de SIAD basés sur un processus d'Extraction de Connaissances à partir de Données, Application à la lutte contre les infections nosocomiales. (User-centred approach for the design of decision support systems based on knowledge discovery in databases process, application to the fight against nosocomial infections). - Hela Ltifi (2011)

Using Perspective Wall to Visualize Medical Data in the Intensive Care Unit. - Hela Ltifi; Mounir Ben Ayed; Ghada Trabelsi; Adel M. Alimi (ICDM Workshops, 2012)

Dynamic Decision Support System Based on Bayesian Networks Application to fight against the Nosocomial Infections - Hela Ltifi; Ghada Trabelsi; Mounir Ben Ayed; Adel M. Alimi (CoRR, 2012)

Perspective Wall Technique for Visualizing and Interpreting Medical Data. - Hela Ltifi; Mounir Ben Ayed; Ghada Trabelsi; Adel M. Alimi (Int. J. Knowl. Discov. Bioinform., 2012)

Using visualization techniques in knowledge discovery process for decision making. - Emna Ben Mohamed; Hela Ltifi; Mounir Ben Ayed (HIS, 2013)

A human-centred design approach for developing dynamic decision support system based on knowledge discovery in databases. - Hela Ltifi; Christophe Kolski; Mounir Ben Ayed; Adel M. Alimi (J. Decis. Syst., 2013)

New Multi-Agent architecture of visual Intelligent Decision Support Systems application in the medical field. - Hamdi Ellouzi; Hela Ltifi; Mounir Ben Ayed (AICCSA, 2015)

Using Bloom's taxonomy to enhance interactive concentric circles representation. - Emna Ben Mohamed; Hela Ltifi; Mounir Ben Ayed (AICCSA, 2015)

Knowledge Visualization Model for Intelligent Dynamic Decision-Making. - Jihed Elouni; Hela Ltifi; Mounir Ben Ayed (HIS, 2015)

Multi-agent Architecture for Visual Intelligent Remote Healthcare Monitoring System. - Afef Ben Jemmaa; Hela Ltifi; Mounir Ben Ayed (HIS, 2015)

Towards an intelligent evaluation method of medical data visualizations. - Saber Amri; Hela Ltifi; Mounir Ben Ayed (ISDA, 2015)

Combination of cognitive and HCI modeling for the design of KDD-based DSS used in dynamic situations. - Hela Ltifi; Christophe Kolski; Mounir Ben Ayed (Decis. Support Syst., 2015)

Contribution to the design and evaluation of visual intelligent Decision Support Systems, application to the healthcare domain. (Contribution à la conception et l'évaluation des systèmes intelligents visuels d'aide à la décision, application dans le domaine médical). - Hela Ltifi (2016)

Visual intelligent remote healthcare monitoring system using multi-agent technology. - Afef Ben Jemmaa; Hela Ltifi; Mounir Ben Ayed (ATSIP, 2016)

Temporal Patterns Visualization for Knowledge Acquisition in Dynamic Decision-Making Environment. - Jihed Elouni; Hela Ltifi; Mounir Ben Ayed; Mohamed Masmoudi (ISDA, 2016)

A visual modeling of knowledge for decision-making. - Jihed Elouni; Hela Ltifi; Mounir Ben Ayed; Mohamed Masmoudi (IVCNZ, 2016)

Interactive visual knowledge discovery from data-based temporal decision support system. - Hela Ltifi; Emna Ben Mohamed; Mounir Ben Ayed (Inf. Vis., 2016)

Enhanced visual data mining process for dynamic decision-making. - Hela Ltifi; Emna Benmohamed; Christophe Kolski; Mounir Ben Ayed (Knowl. Based Syst., 2016)

Visual Intelligent Decision Support Systems in the Medical Field: Design and Evaluation. - Hela Ltifi; Mounir Ben Ayed (Machine Learning for Health Informatics, 2016)

Comprehensive evaluation method of visual analytics tools based on fuzzy theory and artificial neural network. - Saber Amri; Hela Ltifi; Mounir Ben Ayed (ISKE, 2017)

Modeling of distributed visual knowledge discovery from data process. - Hamdi Ellouzi; Mounir Ben Ayed; Hela Ltifi (ISKE, 2017)

Multi-agent modelling of decision support systems based on visual data mining. - Hamdi Ellouzi; Hela Ltifi; Mounir Ben Ayed (Multiagent Grid Syst., 2017)

Fuzzy logic-based evaluation of visualizations generated by intelligent decision support systems. - Hela Ltifi; Saber Amri; Mounir Ben Ayed (Inf. Vis., 2018)

Facial Expression Recognition using Convolution Neural Network Enhancing with Pre-Processing Stages. - Faten Khemakhem; Hela Ltifi (AICCSA, 2019)

Design of Remote Heart Monitoring System for Cardiac Patients. - Afef Ben Jemmaa; Hela Ltifi; Mounir Ben Ayed (AINA, 2019)

A Novel Bayesian Network Structure Learning Algorithm: Best Parents-Children. - Emna Benmohamed; Hela Ltifi; Mounir Ben Ayed (ISKE, 2019)

A Predictive Visual Analytics Evaluation Approach Based on Adaptive Neuro-Fuzzy Inference System. - Saber Amri; Hela Ltifi; Mounir Ben Ayed (Comput. J., 2019)

Survey on Visualization and Visual Analytics pipeline-based models: Conceptual aspects, comparative studies and challenges. - Hela Ltifi; Christophe Kolski; Mounir Ben Ayed (Comput. Sci. Rev., 2020)

Adapted Visual Analytics Process for Intelligent Decision-Making: Application in a Medical Context. - Hela Ltifi; Emna Benmohamed; Christophe Kolski; Mounir Ben Ayed (Int. J. Inf. Technol. Decis. Mak., 2020)

Intelligent health monitoring system modeling based on machine learning and agent technology. - Jihed Elouni; Hamdi Ellouzi; Hela Ltifi; Mounir Ben Ayed (Multiagent Grid Syst., 2020)

Improved Visual Analytic Process Under Cognitive Aspects. - Samar Bouazizi; Hela Ltifi (AINA (1), 2021)

Bayesian Hyperparameter Optimization of Deep Neural Network Algorithms Based on Ant Colony Optimization. - Sinda Jlassi; Imen Jdey; Hela Ltifi (ICDAR (3), 2021)

A Novel Deep Multi-Task Learning to Sensing Student Engagement in E-Learning Environments. - Faten Khemakhem; Hamdi Ellouzi; Hela Ltifi (AICCSA, 2022)

k-means and fuzzy c-means fusion for object clustering. - Ashraf Heni; Imen Jdey; Hela Ltifi (CoDIT, 2022)

A Hybrid Model based on Convolutional Neural Networks and Long Short-term Memory for Rest Tremor Classification. - Jihen Fourati; Mohamed Othmani; Hela Ltifi (ICAART (3), 2022)

Optimized Echo State Network based on PSO and Gradient Descent for Choatic Time Series Prediction. - Rebh Soltani; Emna Benmohamed; Hela Ltifi (ICTAI, 2022)

An Improved Model for Semantic Segmentation of Brain Lesions Using CNN 3D. - Ala Guennich; Mohamed Othmani; Hela Ltifi (ISDA (3), 2022)

An Improved Multi-image Steganography Model Based on Deep Convolutional Neural Networks. - Mounir Telli; Mohamed Othmani; Hela Ltifi (ISDA (3), 2022)

Bayesian model construction based on data-experts oriented approaches for assessing the phosphate effluents effects. - Emna Benmohamed; Hela Ltifi; Mounir Ben Ayed (Appl. Intell., 2022)

ITNO-K2PC: An improved K2 algorithm with information-theory-centered node ordering for structure learning. - Emna Benmohamed; Hela Ltifi; Mounir Ben Ayed (J. King Saud Univ. Comput. Inf. Sci., 2022)

Improving Malaria Detection Using L1 Regularization Neural Network. - Ghazala Hcini; Imen Jdey; Hela Ltifi (J. Univers. Comput. Sci., 2022)

A hybrid model based on bidirectional long-short term memory and support vector machine for rest tremor classification. - Jihen Fourati; Mohamed Othmani; Hela Ltifi (Signal Image Video Process., 2022)

Agent-Based Intelligent Decision Support Systems: A Systematic Review. - Faten Khemakhem; Hamdi Ellouzi; Hela Ltifi; Mounir Ben Ayed (IEEE Trans. Cogn. Dev. Syst., 2022)

HSV-Net: A Custom CNN for Malaria Detection with Enhanced Color Representation. - Ghazala Hcini; Imen Jdey; Hela Ltifi (CW, 2023)

An Improved Approach for Parkinson's Disease Classification Based on Convolutional Neural Network. - Jihen Fourati; Mohamed Othmani; Hela Ltifi (ICCCI (CCIS Volume), 2023)

A Novel Approach of ESN Reservoir Structure Learning for Improved Predictive Performance. - Samar Bouazizi; Emna Benmohamed; Hela Ltifi (ISCC, 2023)

DI-ESN: Dual Input-Echo State Network for Time Series Forecasting. - Chafika Ouni; Emna Benmohamed; Hela Ltifi (ISNCC, 2023)

An ensemble learning algorithm based on discretized Time Series: application on smartphone-inertial measurement. - Mariem Taktak; Slim Triki; Hela Ltifi (KES, 2023)

Decision-making based on an improved visual analytics approach for emotion prediction. - Samar Bouazizi; Emna Ben Mohamed; Hela Ltifi (Intell. Decis. Technol., 2023)

Enhancing EEG-based emotion recognition using PSD-Grouped Deep Echo State Network. - Samar Bouazizi; Emna Benmohamed; Hela Ltifi (J. Univers. Comput. Sci., 2023)

Neural style transfer generative adversarial network (NST-GAN) for facial expression recognition. - Faten Khemakhem; Hela Ltifi (Int. J. Multim. Inf. Retr., 2023)

Echo State Network Optimization: A Systematic Literature Review. - Rebh Soltani; Emna Benmohamed; Hela Ltifi (Neural Process. Lett., 2023)

Optimizing Facial Detection Using Hybrid HOG-SVM Method. - Nabila Daly; Faten Khemakhem; Hela Ltifi (CoDIT, 2024)

Enhanced Brain Tumor Detection Using Integrated CNN-ViT Framework: A Novel Approach for High-Precision Medical Imaging Analysis. - Safa Jraba; Mohamed Elleuch; Hela Ltifi; Monji Kherallah (CoDIT, 2024)

A 3D Deep CNN Network-based Data Hiding Scheme for Images. - Mounir Telli; Mohamed Othmani; Hela Ltifi (CoDIT, 2024)

Hybrid Quanvolutional Echo State Network for Time Series Prediction. - Rebh Soltani; Emna Benmohamed; Hela Ltifi (ICAART (2), 2024)

New Methodology for Attack Patterns Classification in Deep Brain Stimulation. - Jihen Fourati; Mohamed Othmani; Hela Ltifi (ICCCI (CCIS Volume 2), 2024)

A Multi-view Spatio-Temporal EEG Feature Learning for Cross-Subject Motor Imagery Classification. - Adel Hameed; Rahma Fourati; Boudour Ammar; Javier J. Sánchez Medina; Hela Ltifi (ICCCI (CCIS Volume 2), 2024)

Temporal Focal Modulation Networks for EEG-Based Cross-Subject Motor Imagery Classification. - Adel Hameed; Rahma Fourati; Boudour Ammar; Javier Sanchez-Medina; Hela Ltifi (ICCCI (CCIS Volume 2), 2024)

On the Effect of Quantization on Deep Neural Networks Performance. - Jihene Tmamna; Rahma Fourati; Hela Ltifi (ICCCI (CCIS Volume 1), 2024)

Ensemble Multi-task Learning Approach for Explainable EEG-Based Stroke Prediction. - Salma Nbili; Samar Bouazizi; Hela Ltifi (ICPR (8), 2024)

Inception residual network for brain tumor segmentation. - Jihen Fourati; Mohamed Othmani; Khawla Ben Salah; Hela Ltifi (IE, 2024)

S2SDeepArr: Sequence To Sequence Deep Learning Architecture for Arrhythmia Detection Under the Inter-patient Paradigm. - Wissal Midani; Wael Ouarda; Hela Ltifi; Mounir Ben Ayed (KES, 2024)

Deep learning-based Soft word embedding approach for sentiment analysis. - Chafika Ouni; Emna Benmohamed; Hela Ltifi (KES, 2024)

Newman-Watts-Strogatz topology in deep echo state networks for speech emotion recognition. - Rebh Soltani; Emna Benmohamed; Hela Ltifi (Eng. Appl. Artif. Intell., 2024)

Novel diversified echo state network for improved accuracy and explainability of EEG-based stroke prediction. - Samar Bouazizi; Hela Ltifi (Inf. Syst., 2024)

ECG classification with learning ensemble based on symbolic discretization. - Mariem Taktak; Hela Ltifi; Mounir Ben Ayed (Inf. Syst., 2024)

Enhancing accuracy and interpretability in EEG-based medical decision making using an explainable ensemble learning framework application for stroke prediction. - Samar Bouazizi; Hela Ltifi (Decis. Support Syst., 2024)

Xavier-PSO-ELM-based EEG signal classification method for predicting epileptic seizures. - Aymen Laifi; Emna Benmohamed; Hela Ltifi (Multim. Tools Appl., 2024)

A new approach to video steganography models with 3D deep CNN autoencoders. - Mounir Telli; Mohamed Othmani; Hela Ltifi (Multim. Tools Appl., 2024)

Deep Learning and Machine Learning for Malaria Detection: Overview, Challenges and Future Directions. - Imen Jdey; Ghazala Hcini; Hela Ltifi (Int. J. Inf. Technol. Decis. Mak., 2024)

Sentiment analysis deep learning model based on a novel hybrid embedding method. - Chafika Ouni; Emna Benmohamed; Hela Ltifi (Soc. Netw. Anal. Min., 2024)

Exploring Feature Extraction Techniques and SVM for Facial Recognition with Image Generation Using Diffusion Models. - Nabila Daly; Faten Khemakhem; Hela Ltifi (ENASE, 2025)

Refining High-Quality Labels Using Large Language Models to Enhance Node Classification in Graph Echo State Network. - Ikhlas Bargougui; Rebh Soltani; Hela Ltifi (ICAART (2), 2025)

Federated Machine Learning Framework for Soil Classification in Smart Agriculture. - Marwen Ghabi; Sofiane Khalfallah; Hela Ltifi (ICAART (3), 2025)

Enhanced YOLOv8 Framework for Early Detection of Alzheimer's Disease Using MRI Scans. - Safa Jraba; Mohamed Elleuch; Hela Ltifi; Monji Kherallah (ICAART (3), 2025)

Comparative Analysis of CNNs and Vision Transformer Models for Brain Tumor Detection. - Safa Jraba; Mohamed Elleuch; Hela Ltifi; Monji Kherallah (ICAART (3), 2025)

Advanced Brain Tumor Segmentation With a Multiscale CNN and Conditional Random Fields. - Ala Guennich; Mohamed Othmani; Hela Ltifi (IEEE Access, 2025)

Topology-adaptive Bayesian optimization for deep ring echo state networks in speech emotion recognition. - Rebh Soltani; Emna Benmohamed; Hela Ltifi (Neural Comput. Appl., 2025)

Explainable Grouped Deep Echo State Network for EEG-based emotion recognition. - Samar Bouazizi; Hela Ltifi (Soft Comput., 2025)

Quantum-enhanced cortical deep echo state network for fast and accurate speech emotion recognition. - Rebh Soltani; Emna Benmohamed; Hela Ltifi (Quantum Mach. Intell., 2025)