Hela Ltifi

Orcid: 0000-0003-3953-1135

According to our database1, Hela Ltifi authored at least 62 papers between 2009 and 2024.

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

Timeline

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Bibliography

2024
Xavier-PSO-ELM-based EEG signal classification method for predicting epileptic seizures.
Multim. Tools Appl., March, 2024

Enhancing accuracy and interpretability in EEG-based medical decision making using an explainable ensemble learning framework application for stroke prediction.
Decis. Support Syst., March, 2024

ECG classification with learning ensemble based on symbolic discretization.
Inf. Syst., February, 2024

Novel diversified echo state network for improved accuracy and explainability of EEG-based stroke prediction.
Inf. Syst., February, 2024

Hybrid Quanvolutional Echo State Network for Time Series Prediction.
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

2023
Echo State Network Optimization: A Systematic Literature Review.
Neural Process. Lett., December, 2023

Neural style transfer generative adversarial network (NST-GAN) for facial expression recognition.
Int. J. Multim. Inf. Retr., December, 2023

Enhancing EEG-based emotion recognition using PSD-Grouped Deep Echo State Network.
J. Univers. Comput. Sci., October, 2023

Decision-making based on an improved visual analytics approach for emotion prediction.
Intell. Decis. Technol., 2023

An ensemble learning algorithm based on discretized Time Series: application on smartphone-inertial measurement.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

DI-ESN: Dual Input-Echo State Network for Time Series Forecasting.
Proceedings of the International Symposium on Networks, Computers and Communications, 2023

A Novel Approach of ESN Reservoir Structure Learning for Improved Predictive Performance.
Proceedings of the IEEE Symposium on Computers and Communications, 2023

An Improved Approach for Parkinson's Disease Classification Based on Convolutional Neural Network.
Proceedings of the Advances in Computational Collective Intelligence, 2023

HSV-Net: A Custom CNN for Malaria Detection with Enhanced Color Representation.
Proceedings of the International Conference on Cyberworlds, 2023

2022
Agent-Based Intelligent Decision Support Systems: A Systematic Review.
IEEE Trans. Cogn. Dev. Syst., 2022

A hybrid model based on bidirectional long-short term memory and support vector machine for rest tremor classification.
Signal Image Video Process., 2022

Improving Malaria Detection Using L1 Regularization Neural Network.
J. Univers. Comput. Sci., 2022

ITNO-K2PC: An improved K2 algorithm with information-theory-centered node ordering for structure learning.
J. King Saud Univ. Comput. Inf. Sci., 2022

Deep learning and machine learning for Malaria detection: overview, challenges and future directions.
CoRR, 2022

Bayesian model construction based on data-experts oriented approaches for assessing the phosphate effluents effects.
Appl. Intell., 2022

An Improved Multi-image Steganography Model Based on Deep Convolutional Neural Networks.
Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022

An Improved Model for Semantic Segmentation of Brain Lesions Using CNN 3D.
Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022

Optimized Echo State Network based on PSO and Gradient Descent for Choatic Time Series Prediction.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

A Hybrid Model based on Convolutional Neural Networks and Long Short-term Memory for Rest Tremor Classification.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

k-means and fuzzy c-means fusion for object clustering.
Proceedings of the 8th International Conference on Control, 2022

A Novel Deep Multi-Task Learning to Sensing Student Engagement in E-Learning Environments.
Proceedings of the 19th IEEE/ACS International Conference on Computer Systems and Applications, 2022

2021
Bayesian Hyperparameter Optimization of Deep Neural Network Algorithms Based on Ant Colony Optimization.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

Improved Visual Analytic Process Under Cognitive Aspects.
Proceedings of the Advanced Information Networking and Applications, 2021

2020
Intelligent health monitoring system modeling based on machine learning and agent technology.
Multiagent Grid Syst., 2020

Adapted Visual Analytics Process for Intelligent Decision-Making: Application in a Medical Context.
Int. J. Inf. Technol. Decis. Mak., 2020

Survey on Visualization and Visual Analytics pipeline-based models: Conceptual aspects, comparative studies and challenges.
Comput. Sci. Rev., 2020

2019
A Predictive Visual Analytics Evaluation Approach Based on Adaptive Neuro-Fuzzy Inference System.
Comput. J., 2019

A Novel Bayesian Network Structure Learning Algorithm: Best Parents-Children.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

Design of Remote Heart Monitoring System for Cardiac Patients.
Proceedings of the Advanced Information Networking and Applications, 2019

Facial Expression Recognition using Convolution Neural Network Enhancing with Pre-Processing Stages.
Proceedings of the 16th IEEE/ACS International Conference on Computer Systems and Applications, 2019

2018
Fuzzy logic-based evaluation of visualizations generated by intelligent decision support systems.
Inf. Vis., 2018

2017
Multi-agent modelling of decision support systems based on visual data mining.
Multiagent Grid Syst., 2017

Modeling of distributed visual knowledge discovery from data process.
Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering, 2017

Comprehensive evaluation method of visual analytics tools based on fuzzy theory and artificial neural network.
Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering, 2017

2016
Visual Intelligent Decision Support Systems in the Medical Field: Design and Evaluation.
Proceedings of the Machine Learning for Health Informatics, 2016

Enhanced visual data mining process for dynamic decision-making.
Knowl. Based Syst., 2016

Interactive visual knowledge discovery from data-based temporal decision support system.
Inf. Vis., 2016

A visual modeling of knowledge for decision-making.
Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand, 2016

Temporal Patterns Visualization for Knowledge Acquisition in Dynamic Decision-Making Environment.
Proceedings of the Intelligent Systems Design and Applications, 2016

Visual intelligent remote healthcare monitoring system using multi-agent technology.
Proceedings of the 2nd International Conference on Advanced Technologies for Signal and Image Processing, 2016

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).
, 2016

2015
Combination of cognitive and HCI modeling for the design of KDD-based DSS used in dynamic situations.
Decis. Support Syst., 2015

Towards an intelligent evaluation method of medical data visualizations.
Proceedings of the 15th International Conference on Intelligent Systems Design and Applications, 2015

Multi-agent Architecture for Visual Intelligent Remote Healthcare Monitoring System.
Proceedings of the Hybrid Intelligent Systems, 2015

Knowledge Visualization Model for Intelligent Dynamic Decision-Making.
Proceedings of the Hybrid Intelligent Systems, 2015

Using Bloom's taxonomy to enhance interactive concentric circles representation.
Proceedings of the 12th IEEE/ACS International Conference of Computer Systems and Applications, 2015

New Multi-Agent architecture of visual Intelligent Decision Support Systems application in the medical field.
Proceedings of the 12th IEEE/ACS International Conference of Computer Systems and Applications, 2015

2013
A human-centred design approach for developing dynamic decision support system based on knowledge discovery in databases.
J. Decis. Syst., 2013

Using visualization techniques in knowledge discovery process for decision making.
Proceedings of the 13th International Conference on Hybrid Intelligent Systems, 2013

2012
Perspective Wall Technique for Visualizing and Interpreting Medical Data.
Int. J. Knowl. Discov. Bioinform., 2012

Dynamic Decision Support System Based on Bayesian Networks Application to fight against the Nosocomial Infections
CoRR, 2012

Using Perspective Wall to Visualize Medical Data in the Intensive Care Unit.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2011
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).
PhD thesis, 2011

2010
A user-centered approach for the design and implementation of KDD-based DSS: A case study in the healthcare domain.
Decis. Support Syst., 2010

Human-centred design approach applied to medical dynamic DSS.
Proceedings of the 11th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems (2010), Valenciennes, France, August 31, 2010

2009
HCI-enriched approach for DSS development: the UP/U approach.
Proceedings of the 14th IEEE Symposium on Computers and Communications (ISCC 2009), 2009

Survey of information visualization techniques for exploitation in KDD.
Proceedings of the 7th IEEE/ACS International Conference on Computer Systems and Applications, 2009


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