SiSMar: social multi-agent based simulation of stock market. - Zahra Kodia; Lamjed Ben Said; Khaled Ghédira (AAMAS (2), 2009)

Multi-agent Simulation of Investor Cognitive Behavior in Stock Market. - Zahra Kodia; Lamjed Ben Said (PAAMS, 2009)

Towards a new cognitive modeling approach for multi-agent based simulation of stock market dynamics. - Zahra Kodia; Lamjed Ben Said; Khaled Ghédira (AAMAS, 2010)

A Study of Stock Market Trading Behavior and Social Interactions through a Multi Agent Based Simulation. - Zahra Kodia; Lamjed Ben Said; Khaled Ghédira (KES-AMSTA (2), 2010)

Simulation comportementale à base d'agents de la dynamique du marché boursier. Modèle cognitif de l'investisseur. - Zahra Kodia; Lamjed Ben Said; Khaled Ghédira (Rev. d'Intelligence Artif., 2011)

BPMN Decision Footprint: Towards Decision Harmony Along BI Process. - Riadh Ghlala; Zahra Kodia Aouina; Lamjed Ben Said (ICIST, 2016)

MC-DMN: Meeting MCDM with DMN Involving Multi-criteria Decision-Making in Business Process. - Riadh Ghlala; Zahra Kodia Aouina; Lamjed Ben Said (ICCSA (6), 2017)

Multi-Agent BPMN Decision Footprint. - Riadh Ghlala; Zahra Kodia Aouina; Lamjed Ben Said (KES-AMSTA, 2017)

Recommender System Based on User's Tweets Sentiment Analysis. - Safa Selmene; Zahra Kodia (ICEEG, 2020)

Stock Market Prediction of NIFTY 50 Index Applying Machine Learning Techniques. - Zahra Fathali; Zahra Kodia; Lamjed Ben Said (Appl. Artif. Intell., 2022)

DeepCNN-DTI: A Deep Learning Model for Detecting Drug-Target Interactions. - Wiem Ben Ghozzi; Abir Chaabani; Zahra Kodia; Lamjed Ben Said (CoDIT, 2023)

Hybrid Machine Learning Model for Predicting NASDAQ Composite Index. - Zakia Zouaghia; Zahra Kodia Aouina; Lamjed Ben Said (ISNCC, 2023)

Stock Movement Prediction Based On Technical Indicators Applying Hybrid Machine Learning Models. - Zakia Zouaghia; Zahra Kodia Aouina; Lamjed Ben Said (ISNCC, 2023)

Using MCDM and FaaS in automating the eligibility of business rules in the decision-making process. - Riadh Ghlala; Zahra Kodia; Lamjed Ben Said (Int. Arab J. Inf. Technol., 2023)

Fatigue Detection for the Elderly Using Machine Learning Techniques. - Wiem Ben Ghozzi; Zahra Kodia; Nadia Ben Azzouna (CoDIT, 2024)

Context-based Collaborative Filtering: K-Means Clustering and Contextual Matrix Factorization*. - Jihene Latrech; Zahra Kodia; Nadia Ben Azzouna (CoDIT, 2024)

Pred-IFDSS : An Intelligent Financial Decision Support System Based On Machine Learning Models. - Zakia Zouaghia; Zahra Kodia; Lamjed Ben Said (CoDIT, 2024)

A Collective Intelligence to Predict Stock Market Indices Applying an Optimized Hybrid Ensemble Learning Model. - Zakia Zouaghia; Zahra Kodia; Lamjed Ben Said (ICCCI (1), 2024)

A Machine Learning-Based Trading Strategy Integrating Technical Analysis and Multi-agent Simulation. - Zakia Zouaghia; Zahra Kodia; Lamjed Ben Said (PAAMS, 2024)

CoDFi-DL: a hybrid recommender system combining enhanced collaborative and demographic filtering based on deep learning. - Jihene Latrech; Zahra Kodia; Nadia Ben Azzouna (J. Supercomput., 2024)

Twit-CoFiD: a hybrid recommender system based on tweet sentiment analysis. - Jihene Latrech; Zahra Kodia; Nadia Ben Azzouna (Soc. Netw. Anal. Min., 2024)

Machine Learning Based Collaborative Filtering Using Jensen-Shannon Divergence for Context-Driven Recommendations. - Jihene Latrech; Zahra Kodia; Nadia Ben Azzouna (ICAART (3), 2025)

Predicting the stock market prices using a machine learning-based framework during crisis periods. - Zakia Zouaghia; Zahra Kodia; Lamjed Ben Said (Multim. Tools Appl., 2025)