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Hela Ltifi
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2020 – today
- 2024
- [j29]Samar Bouazizi, Hela Ltifi:
Enhancing accuracy and interpretability in EEG-based medical decision making using an explainable ensemble learning framework application for stroke prediction. Decis. Support Syst. 178: 114126 (2024) - [j28]Rebh Soltani, Emna Benmohamed, Hela Ltifi:
Newman-Watts-Strogatz topology in deep echo state networks for speech emotion recognition. Eng. Appl. Artif. Intell. 133: 108293 (2024) - [j27]Imen Jdey, Ghazala Hcini, Hela Ltifi:
Deep Learning and Machine Learning for Malaria Detection: Overview, Challenges and Future Directions. Int. J. Inf. Technol. Decis. Mak. 23(5): 1745-1776 (2024) - [j26]Mariem Taktak, Hela Ltifi, Mounir Ben Ayed:
ECG classification with learning ensemble based on symbolic discretization. Inf. Syst. 120: 102294 (2024) - [j25]Samar Bouazizi, Hela Ltifi:
Novel diversified echo state network for improved accuracy and explainability of EEG-based stroke prediction. Inf. Syst. 120: 102317 (2024) - [j24]Aymen Laifi, Emna Benmohamed, Hela Ltifi:
Xavier-PSO-ELM-based EEG signal classification method for predicting epileptic seizures. Multim. Tools Appl. 83(10): 30675-30696 (2024) - [j23]Mounir Telli, Mohamed Othmani, Hela Ltifi:
A new approach to video steganography models with 3D deep CNN autoencoders. Multim. Tools Appl. 83(17): 51423-51439 (2024) - [j22]Chafika Ouni, Emna Benmohamed, Hela Ltifi:
Sentiment analysis deep learning model based on a novel hybrid embedding method. Soc. Netw. Anal. Min. 14(1): 210 (2024) - [c41]Nabila Daly, Faten Khemakhem, Hela Ltifi:
Optimizing Facial Detection Using Hybrid HOG-SVM Method. CoDIT 2024: 383-389 - [c40]Mounir Telli, Mohamed Othmani, Hela Ltifi:
A 3D Deep CNN Network-based Data Hiding Scheme for Images. CoDIT 2024: 2090-2095 - [c39]Safa Jraba, Mohamed Elleuch, Hela Ltifi, Monji Kherallah:
Enhanced Brain Tumor Detection Using Integrated CNN-ViT Framework: A Novel Approach for High-Precision Medical Imaging Analysis. CoDIT 2024: 2120-2125 - [c38]Rebh Soltani, Emna Benmohamed, Hela Ltifi:
Hybrid Quanvolutional Echo State Network for Time Series Prediction. ICAART (2) 2024: 40-46 - [c37]Jihene Tmamna, Rahma Fourati, Hela Ltifi:
On the Effect of Quantization on Deep Neural Networks Performance. ICCCI (CCIS Volume 1) 2024: 144-156 - [c36]Jihen Fourati, Mohamed Othmani, Hela Ltifi:
New Methodology for Attack Patterns Classification in Deep Brain Stimulation. ICCCI (CCIS Volume 2) 2024: 155-167 - [c35]Adel Hameed, Rahma Fourati, Boudour Ammar, Javier J. Sánchez Medina, Hela Ltifi:
A Multi-view Spatio-Temporal EEG Feature Learning for Cross-Subject Motor Imagery Classification. ICCCI (CCIS Volume 2) 2024: 393-405 - [c34]Adel Hameed, Rahma Fourati, Boudour Ammar, Javier Sanchez-Medina, Hela Ltifi:
Temporal Focal Modulation Networks for EEG-Based Cross-Subject Motor Imagery Classification. ICCCI (CCIS Volume 2) 2024: 445-457 - [c33]Salma Nbili, Samar Bouazizi, Hela Ltifi:
Ensemble Multi-task Learning Approach for Explainable EEG-Based Stroke Prediction. ICPR (8) 2024: 439-454 - [c32]Jihen Fourati, Mohamed Othmani, Khawla Ben Salah, Hela Ltifi:
Inception residual network for brain tumor segmentation. IE 2024: 33-40 - 2023
- [j21]Samar Bouazizi, Emna Ben Mohamed, Hela Ltifi:
Decision-making based on an improved visual analytics approach for emotion prediction. Intell. Decis. Technol. 17(2): 557-576 (2023) - [j20]Faten Khemakhem, Hela Ltifi:
Neural style transfer generative adversarial network (NST-GAN) for facial expression recognition. Int. J. Multim. Inf. Retr. 12(2): 26 (2023) - [j19]Samar Bouazizi, Emna Benmohamed, Hela Ltifi:
Enhancing EEG-based emotion recognition using PSD-Grouped Deep Echo State Network. J. Univers. Comput. Sci. 29(10): 1116-1138 (2023) - [j18]Rebh Soltani, Emna Benmohamed, Hela Ltifi:
Echo State Network Optimization: A Systematic Literature Review. Neural Process. Lett. 55(8): 10251-10285 (2023) - [c31]Ghazala Hcini, Imen Jdey, Hela Ltifi:
HSV-Net: A Custom CNN for Malaria Detection with Enhanced Color Representation. CW 2023: 337-340 - [c30]Jihen Fourati, Mohamed Othmani, Hela Ltifi:
An Improved Approach for Parkinson's Disease Classification Based on Convolutional Neural Network. ICCCI (CCIS Volume) 2023: 123-135 - [c29]Samar Bouazizi, Emna Benmohamed, Hela Ltifi:
A Novel Approach of ESN Reservoir Structure Learning for Improved Predictive Performance. ISCC 2023: 232-237 - [c28]Chafika Ouni, Emna Benmohamed, Hela Ltifi:
DI-ESN: Dual Input-Echo State Network for Time Series Forecasting. ISNCC 2023: 1-6 - [c27]Mariem Taktak, Slim Triki, Hela Ltifi:
An ensemble learning algorithm based on discretized Time Series: application on smartphone-inertial measurement. KES 2023: 165-176 - 2022
- [j17]Emna Benmohamed, Hela Ltifi, Mounir Ben Ayed:
Bayesian model construction based on data-experts oriented approaches for assessing the phosphate effluents effects. Appl. Intell. 52(14): 16475-16496 (2022) - [j16]Emna Benmohamed, Hela Ltifi, Mounir Ben Ayed:
ITNO-K2PC: An improved K2 algorithm with information-theory-centered node ordering for structure learning. J. King Saud Univ. Comput. Inf. Sci. 34(4): 1410-1422 (2022) - [j15]Ghazala Hcini, Imen Jdey, Hela Ltifi:
Improving Malaria Detection Using L1 Regularization Neural Network. J. Univers. Comput. Sci. 28(10): 1087-1107 (2022) - [j14]Jihen Fourati, Mohamed Othmani, Hela Ltifi:
A hybrid model based on bidirectional long-short term memory and support vector machine for rest tremor classification. Signal Image Video Process. 16(8): 2175-2182 (2022) - [j13]Faten Khemakhem, Hamdi Ellouzi, Hela Ltifi, Mounir Ben Ayed:
Agent-Based Intelligent Decision Support Systems: A Systematic Review. IEEE Trans. Cogn. Dev. Syst. 14(1): 20-34 (2022) - [c26]Faten Khemakhem, Hamdi Ellouzi, Hela Ltifi:
A Novel Deep Multi-Task Learning to Sensing Student Engagement in E-Learning Environments. AICCSA 2022: 1-7 - [c25]Ashraf Heni, Imen Jdey, Hela Ltifi:
k-means and fuzzy c-means fusion for object clustering. CoDIT 2022: 177-182 - [c24]Jihen Fourati, Mohamed Othmani, Hela Ltifi:
A Hybrid Model based on Convolutional Neural Networks and Long Short-term Memory for Rest Tremor Classification. ICAART (3) 2022: 75-82 - [c23]Rebh Soltani, Emna Benmohamed, Hela Ltifi:
Optimized Echo State Network based on PSO and Gradient Descent for Choatic Time Series Prediction. ICTAI 2022: 747-754 - [c22]Ala Guennich, Mohamed Othmani, Hela Ltifi:
An Improved Model for Semantic Segmentation of Brain Lesions Using CNN 3D. ISDA (3) 2022: 181-189 - [c21]Mounir Telli, Mohamed Othmani, Hela Ltifi:
An Improved Multi-image Steganography Model Based on Deep Convolutional Neural Networks. ISDA (3) 2022: 250-262 - [i2]Imen Jdey, Ghazala Hcini, Hela Ltifi:
Deep learning and machine learning for Malaria detection: overview, challenges and future directions. CoRR abs/2209.13292 (2022) - 2021
- [c20]Samar Bouazizi, Hela Ltifi:
Improved Visual Analytic Process Under Cognitive Aspects. AINA (1) 2021: 494-506 - [c19]Sinda Jlassi, Imen Jdey, Hela Ltifi:
Bayesian Hyperparameter Optimization of Deep Neural Network Algorithms Based on Ant Colony Optimization. ICDAR (3) 2021: 585-594 - 2020
- [j12]Hela Ltifi, Christophe Kolski, Mounir Ben Ayed:
Survey on Visualization and Visual Analytics pipeline-based models: Conceptual aspects, comparative studies and challenges. Comput. Sci. Rev. 36: 100245 (2020) - [j11]Hela Ltifi, Emna Benmohamed, Christophe Kolski, Mounir Ben Ayed:
Adapted Visual Analytics Process for Intelligent Decision-Making: Application in a Medical Context. Int. J. Inf. Technol. Decis. Mak. 19(1): 241-282 (2020) - [j10]Jihed Elouni, Hamdi Ellouzi, Hela Ltifi, Mounir Ben Ayed:
Intelligent health monitoring system modeling based on machine learning and agent technology. Multiagent Grid Syst. 16(2): 207-226 (2020)
2010 – 2019
- 2019
- [j9]Saber Amri, Hela Ltifi, Mounir Ben Ayed:
A Predictive Visual Analytics Evaluation Approach Based on Adaptive Neuro-Fuzzy Inference System. Comput. J. 62(7): 977-1000 (2019) - [c18]Faten Khemakhem, Hela Ltifi:
Facial Expression Recognition using Convolution Neural Network Enhancing with Pre-Processing Stages. AICCSA 2019: 1-7 - [c17]Afef Ben Jemmaa, Hela Ltifi, Mounir Ben Ayed:
Design of Remote Heart Monitoring System for Cardiac Patients. AINA 2019: 963-976 - [c16]Emna Benmohamed, Hela Ltifi, Mounir Ben Ayed:
A Novel Bayesian Network Structure Learning Algorithm: Best Parents-Children. ISKE 2019: 743-749 - 2018
- [j8]Hela Ltifi, Saber Amri, Mounir Ben Ayed:
Fuzzy logic-based evaluation of visualizations generated by intelligent decision support systems. Inf. Vis. 17(1): 3-21 (2018) - 2017
- [j7]Hamdi Ellouzi, Hela Ltifi, Mounir Ben Ayed:
Multi-agent modelling of decision support systems based on visual data mining. Multiagent Grid Syst. 13(1): 31-45 (2017) - [c15]Saber Amri, Hela Ltifi, Mounir Ben Ayed:
Comprehensive evaluation method of visual analytics tools based on fuzzy theory and artificial neural network. ISKE 2017: 1-6 - [c14]Hamdi Ellouzi, Mounir Ben Ayed, Hela Ltifi:
Modeling of distributed visual knowledge discovery from data process. ISKE 2017: 1-7 - 2016
- [b2]Hela Ltifi:
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). Ecole Nationale des Ingénieurs de Sfax, Tunisia, 2016 - [j6]Hela Ltifi, Emna Ben Mohamed, Mounir Ben Ayed:
Interactive visual knowledge discovery from data-based temporal decision support system. Inf. Vis. 15(1): 31-50 (2016) - [j5]Hela Ltifi, Emna Benmohamed, Christophe Kolski, Mounir Ben Ayed:
Enhanced visual data mining process for dynamic decision-making. Knowl. Based Syst. 112: 166-181 (2016) - [c13]Afef Ben Jemmaa, Hela Ltifi, Mounir Ben Ayed:
Visual intelligent remote healthcare monitoring system using multi-agent technology. ATSIP 2016: 465-471 - [c12]Jihed Elouni, Hela Ltifi, Mounir Ben Ayed, Mohamed Masmoudi:
Temporal Patterns Visualization for Knowledge Acquisition in Dynamic Decision-Making Environment. ISDA 2016: 841-851 - [c11]Jihed Elouni, Hela Ltifi, Mounir Ben Ayed, Mohamed Masmoudi:
A visual modeling of knowledge for decision-making. IVCNZ 2016: 1-6 - [p1]Hela Ltifi, Mounir Ben Ayed:
Visual Intelligent Decision Support Systems in the Medical Field: Design and Evaluation. Machine Learning for Health Informatics 2016: 243-258 - 2015
- [j4]Hela Ltifi, Christophe Kolski, Mounir Ben Ayed:
Combination of cognitive and HCI modeling for the design of KDD-based DSS used in dynamic situations. Decis. Support Syst. 78: 51-64 (2015) - [c10]Hamdi Ellouzi, Hela Ltifi, Mounir Ben Ayed:
New Multi-Agent architecture of visual Intelligent Decision Support Systems application in the medical field. AICCSA 2015: 1-8 - [c9]Emna Ben Mohamed, Hela Ltifi, Mounir Ben Ayed:
Using Bloom's taxonomy to enhance interactive concentric circles representation. AICCSA 2015: 1-8 - [c8]Afef Ben Jemmaa, Hela Ltifi, Mounir Ben Ayed:
Multi-agent Architecture for Visual Intelligent Remote Healthcare Monitoring System. HIS 2015: 211-221 - [c7]Jihed Elouni, Hela Ltifi, Mounir Ben Ayed:
Knowledge Visualization Model for Intelligent Dynamic Decision-Making. HIS 2015: 223-235 - [c6]Saber Amri, Hela Ltifi, Mounir Ben Ayed:
Towards an intelligent evaluation method of medical data visualizations. ISDA 2015: 673-678 - 2013
- [j3]Hela Ltifi, Christophe Kolski, Mounir Ben Ayed, Adel M. Alimi:
A human-centred design approach for developing dynamic decision support system based on knowledge discovery in databases. J. Decis. Syst. 22(2): 69-96 (2013) - [c5]Emna Ben Mohamed, Hela Ltifi, Mounir Ben Ayed:
Using visualization techniques in knowledge discovery process for decision making. HIS 2013: 93-98 - 2012
- [j2]Hela Ltifi, Mounir Ben Ayed, Ghada Trabelsi, Adel M. Alimi:
Perspective Wall Technique for Visualizing and Interpreting Medical Data. Int. J. Knowl. Discov. Bioinform. 3(2): 45-61 (2012) - [c4]Hela Ltifi, Mounir Ben Ayed, Ghada Trabelsi, Adel M. Alimi:
Using Perspective Wall to Visualize Medical Data in the Intensive Care Unit. ICDM Workshops 2012: 72-78 - [i1]Hela Ltifi, Ghada Trabelsi, Mounir Ben Ayed, Adel M. Alimi:
Dynamic Decision Support System Based on Bayesian Networks Application to fight against the Nosocomial Infections. CoRR abs/1211.2126 (2012) - 2011
- [b1]Hela Ltifi:
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). University of Valenciennes and Hainaut-Cambresis, France, 2011 - 2010
- [j1]Mounir Ben Ayed, Hela Ltifi, Christophe Kolski, Adel M. Alimi:
A user-centered approach for the design and implementation of KDD-based DSS: A case study in the healthcare domain. Decis. Support Syst. 50(1): 64-78 (2010) - [c3]Hela Ltifi, Christophe Kolski, Mounir Ben Ayed, Adel M. Alimi:
Human-centred design approach applied to medical dynamic DSS. IFAC HMS 2010: 465-470
2000 – 2009
- 2009
- [c2]Hela Ltifi, Mounir Ben Ayed, Adel M. Alimi, Sophie Lepreux:
Survey of information visualization techniques for exploitation in KDD. AICCSA 2009: 218-225 - [c1]Hela Ltifi, Mounir Ben Ayed, Christophe Kolski, Adel M. Alimi:
HCI-enriched approach for DSS development: the UP/U approach. ISCC 2009: 895-900
Coauthor Index
aka: Emna Benmohamed
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last updated on 2024-12-22 19:04 CET by the dblp team
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