Zahra Kodia

Int. J. Data Sci. Anal., December, 2026

CORA: A Context-Driven Recommendation System Based on Multi-Dimensional User Clustering and Belief-Based Similarity Aggregation.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Agents and Artificial Intelligence, 2026

2025

Smapf-hnna: a novel Stock Market Analysis and Prediction Framework using Hybrid Neural Network Architectures Across Major U.S. Indices.

[BibT_eX]

[DOI]

Int. J. Data Sci. Anal., November, 2025

A novel approach for dynamic portfolio management integrating K-means clustering, mean-variance optimization, and reinforcement learning.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., October, 2025

CoD-MaF: toward a Context-Driven Collaborative Filtering using Contextual Biased Matrix Factorization.

[BibT_eX]

[DOI]

Int. J. Data Sci. Anal., October, 2025

Predicting the stock market prices using a machine learning-based framework during crisis periods.

[BibT_eX]

[DOI]

Multim. Tools Appl., July, 2025

Machine Learning Based Collaborative Filtering Using Jensen-Shannon Divergence for Context-Driven Recommendations.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Agents and Artificial Intelligence, 2025

Path-Based Explanations for Knowledge Graph-Driven Course Recommendation.

[BibT_eX]

[DOI]

Nadia Ben Hadj Boubaker

Nadia Yacoubi Ayadi

Proceedings of the Cooperative Information Systems - 31st International Conference, 2025

Adaptive RDP-FL: Enhancing Privacy-Preserving Federated Learning with Robust Differential Privacy Mechanisms.

[BibT_eX]

[DOI]

Ibtissem Ben Ouhiba

Proceedings of the 11th International Conference on Control, 2025

Towards solving the Cold Start and Explainability Challenges in Recommender Systems Using Knowledge Graphs and User Demographics Data.

[BibT_eX]

[DOI]

Nadia Ben Hadj Boubaker

Nadia Yacoubi Ayadi

Proceedings of the 11th International Conference on Control, 2025

2024

Twit-CoFiD: a hybrid recommender system based on tweet sentiment analysis.

[BibT_eX]

[DOI]

Soc. Netw. Anal. Min., December, 2024

CoDFi-DL: a hybrid recommender system combining enhanced collaborative and demographic filtering based on deep learning.

[BibT_eX]

[DOI]

J. Supercomput., January, 2024

A Machine Learning-Based Trading Strategy Integrating Technical Analysis and Multi-agent Simulation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Digital Twins: The PAAMS Collection, 2024

Personalized E-Learning Knowledge Graph-Based Recommender System Using Ensemble Attention Networks.

[BibT_eX]

[DOI]

Nadia Ben Hadj Boubaker

Nadia Yacoubi Ayadi

Proceedings of the Management of Digital EcoSystems - 16th International Conference, 2024

A Collective Intelligence to Predict Stock Market Indices Applying an Optimized Hybrid Ensemble Learning Model.

[BibT_eX]

[DOI]

Proceedings of the Computational Collective Intelligence - 16th International Conference, 2024

Pred-IFDSS : An Intelligent Financial Decision Support System Based On Machine Learning Models.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Control, 2024

Context-based Collaborative Filtering: K-Means Clustering and Contextual Matrix Factorization<sup>*</sup>.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Control, 2024

Fatigue Detection for the Elderly Using Machine Learning Techniques.

[BibT_eX]

[DOI]

Wiem Ben Ghozzi

Proceedings of the 10th International Conference on Control, 2024

2023

Using MCDM and FaaS in automating the eligibility of business rules in the decision-making process.

[BibT_eX]

[DOI]

Int. Arab J. Inf. Technol., 2023

Stock Movement Prediction Based On Technical Indicators Applying Hybrid Machine Learning Models.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Networks, Computers and Communications, 2023

Hybrid Machine Learning Model for Predicting NASDAQ Composite Index.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Networks, Computers and Communications, 2023

DeepCNN-DTI: A Deep Learning Model for Detecting Drug-Target Interactions.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Control, 2023

2022

Stock Market Prediction of NIFTY 50 Index Applying Machine Learning Techniques.

[BibT_eX]

[DOI]

Zahra Fathali

Appl. Artif. Intell., December, 2022

2020

Recommender System Based on User's Tweets Sentiment Analysis.

[BibT_eX]

[DOI]

Safa Selmene

Proceedings of the ICEEG 2020: The 4th International Conference on E-commerce, 2020

2017

Multi-Agent BPMN Decision Footprint.

[BibT_eX]

[DOI]

Proceedings of the Agent and Multi-Agent Systems: Technology and Applications, 2017

MC-DMN: Meeting MCDM with DMN Involving Multi-criteria Decision-Making in Business Process.

[BibT_eX]

[DOI]

Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017

2016

BPMN Decision Footprint: Towards Decision Harmony Along BI Process.

[BibT_eX]

[DOI]

Proceedings of the Information and Software Technologies - 22nd International Conference, 2016

2011

Simulation comportementale à base d'agents de la dynamique du marché boursier. Modèle cognitif de l'investisseur.

[BibT_eX]

[DOI]

Rev. d'Intelligence Artif., 2011

2010

A Study of Stock Market Trading Behavior and Social Interactions through a Multi Agent Based Simulation.

[BibT_eX]

[DOI]

Proceedings of the Agent and Multi-Agent Systems: Technologies and Applications, 2010

Towards a new cognitive modeling approach for multi-agent based simulation of stock market dynamics.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010

2009

Multi-agent Simulation of Investor Cognitive Behavior in Stock Market.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Practical Applications of Agents and Multi-Agent Systems, 2009

SiSMar: social multi-agent based simulation of stock market.

[BibT_eX]

[DOI]