Moncef Garouani

According to our database, Moncef Garouani authored at least 36 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Interpretable and Explainable Surrogate Modeling for Simulations: A State-of-the-Art Survey and Perspectives on Explainable AI for Decision-Making.

Pramudita Satria Palar, Paul Saves, Muhammad Daffa Robani, Nicolas Verstaevel, Moncef Garouani, Julien Aligon, Koji Shimoyama, Joseph Morlier, Benoît Gaudou

CoRR, April, 2026

IPatch: A Multi-Resolution Transformer Architecture for Robust Time-Series Forecasting.

Aymane Harkati, Moncef Garouani, Olivier Teste, Julien Aligon, Mohamed Hamlich

CoRR, March, 2026

Fusion-CAM: Integrating Gradient and Region-Based Class Activation Maps for Robust Visual Explanations.

Hajar Dekdegue, Moncef Garouani, Josiane Mothe, Jordan Bernigaud

CoRR, March, 2026

Improving Neural Retrieval with Attribution-Guided Query Rewriting.

Moncef Garouani, Josiane Mothe

CoRR, February, 2026

AmharicIR+Instr: A Two-Dataset Resource for Neural Retrieval and Instruction Tuning.

Tilahun Yeshambel, Moncef Garouani, Josiane Mothe

CoRR, February, 2026

Analyzing Shapley Additive Explanations to Understand Anomaly Detection Algorithm Behaviors and Their Complementarity.

Jordan Levy, Paul Saves, Moncef Garouani, Nicolas Verstaevel, Benoît Gaudou

Proceedings of the Advances in Intelligent Data Analysis XXIV, 2026

Adaptive Local Kernel for Efficient Active Pairwise Constraint Clustering.

Vincent Blase, Julien Aligon, Moncef Garouani, Isabelle Ader, Olivier Teste

Proceedings of the Advances in Intelligent Data Analysis XXIV, 2026

2025

Surrogate Modeling and Explainable Artificial Intelligence for Complex Systems: A Workflow for Automated Simulation Exploration.

Paul Saves, Pramudita Satria Palar, Muhammad Daffa Robani, Nicolas Verstaevel, Moncef Garouani, Julien Aligon, Benoît Gaudou, Koji Shimoyama, Joseph Morlier

CoRR, October, 2025

XStacking: Explanation-Guided Stacked Ensemble Learning.

Moncef Garouani, Ayah Barhrhouj, Olivier Teste

CoRR, July, 2025

An experimental survey and Perspective View on Meta-Learning for Automated Algorithms Selection and Parametrization.

Moncef Garouani

CoRR, April, 2025

Uncovering the Limitations of Query Performance Prediction: Failures, Insights, and Implications for Selective Query Processing.

Adrian-Gabriel Chifu, Sébastien Déjean, Josiane Mothe, Moncef Garouani, Diégo Ortiz, Md. Zia Ullah

CoRR, April, 2025

XStacking : An effective and inherently explainable framework for stacked ensemble learning.

Moncef Garouani, Ayah Barhrhouj, Olivier Teste

Inf. Fusion, 2025

Dense Retrieval for Low Resource languages - the Case of Amharic Language.

Tilahun Yeshambel, Moncef Garouani, Serge Molina, Josiane Mothe

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

From Black-Box Tuning to Guided Optimization via Hyperparameters Interaction Analysis.

Moncef Garouani, Ayah Barhrhouj

Proceedings of the 37th IEEE International Conference on Tools with Artificial Intelligence, 2025

Advancing Amharic Information Retrieval: A Comparative Analysis of Traditional, Neural, and Transformer-Based Models.

Tilahun Yeshambel, Moncef Garouani, Josiane Mothe, Yaregal Assabie

Proceedings of the 8th International Conference on Information and Computer Technologies, 2025

IoT-AID: Leveraging XAI for Conversational Recommendations in Cyber-Physical Systems.

Mohammad Choaib, Moncef Garouani, Mourad Bouneffa, Adeel Ahmad

Proceedings of the 27th International Conference on Enterprise Information Systems, 2025

Multimodal Explainable Automated Diagnosis of Autistic Spectrum Disorder.

Meryem Ben Yahia, Moncef Garouani, Julien Aligon

Proceedings of the 33rd European Symposium on Artificial Neural Networks, 2025

Explainable Artificial Intelligence in Critical Interactive Systems: Opportunities and Challenges.

Camille Fayollas, Moncef Garouani, Célia Martinie

Proceedings of the Engineering Interactive Computer Systems. EICS 2025 International Workshops, 2025

GeMix: Conditional GAN-Based Mixup for Improved Medical Image Augmentation.

Hugo Carlesso, Maria Eliza Patulea, Moncef Garouani, Radu Tudor Ionescu, Josiane Mothe

Proceedings of the International Conference on Content-Based Multimedia Indexing, 2025

2024

IoT-AID: An Automated Decision Support Framework for IoT.

Mohammad Choaib, Moncef Garouani, Mourad Bouneffa, Nicolas Waldhoff, Yasser Mohanna

SN Comput. Sci., April, 2024

Model Lake : A New Alternative for Machine Learning Models Management and Governance.

Moncef Garouani, Franck Ravat, Nathalie Vallès-Parlangeau

Proceedings of the Web Information Systems Engineering - WISE 2024, 2024

Investigating the Duality of Interpretability and Explainability in Machine Learning.

Moncef Garouani, Josiane Mothe, Ayah Barhrhouj, Julien Aligon

Proceedings of the 36th IEEE International Conference on Tools with Artificial Intelligence, 2024

Can We Predict QPP? An Approach Based on Multivariate Outliers.

Adrian-Gabriel Chifu, Sébastien Déjean, Moncef Garouani, Josiane Mothe, Diégo Ortiz, Md. Zia Ullah

Proceedings of the Advances in Information Retrieval, 2024

Prédictibilité de la prédiction de la performance des requêtes ? Une approche basée sur les valeurs aberrantes multivariées.

Adrian-Gabriel Chifu, Sébastien Déjean, Moncef Garouani, Josiane Mothe, Diégo Ortiz, Md. Zia Ullah

Proceedings of the COnférence en Recherche d'Informations et Applications, 2024

IoT Sensor Selection in Cyber-Physical Systems: Leveraging Large Language Models as Recommender Systems.

Mohammad Choaib, Moncef Garouani, Mourad Bouneffa, Yasser Mohanna

Proceedings of the 10th International Conference on Control, 2024

2023

Autoencoder-kNN meta-model based data characterization approach for an automated selection of AI algorithms.

Moncef Garouani, Adeel Ahmad, Mourad Bouneffa, Mohamed Hamlich

J. Big Data, December, 2023

Version [2.0]- [AMLBID: An auto-explained Automated Machine Learning tool for Big Industrial Data].

Moncef Garouani, Mourad Bouneffa, Adeel Ahmad, Mohamed Hamlich

SoftwareX, July, 2023

Unlocking the Black Box: Towards Interactive Explainable Automated Machine Learning.

Moncef Garouani, Mourad Bouneffa

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023

Explaining Meta-Features Importance in Meta-Learning Through Shapley Values.

Moncef Garouani, Adeel Ahmad, Mourad Bouneffa

Proceedings of the 25th International Conference on Enterprise Information Systems, 2023

Automated Decision Support Framework for IoT: Towards a Cyber Physical Recommendation System.

Mohammad Choaib, Moncef Garouani, Mourad Bouneffa, Nicolas Waldhoff, Adeel Ahmad, Yasser Mohanna

Proceedings of the 25th International Conference on Enterprise Information Systems, 2023

2022

Towards Efficient and Explainable Automated Machine Learning Pipelines Design : Application to Industry 4.0 Data. (Vers une automatisation efficace et explicable des processus d'apprentissage automatique : Application à l'Industrie 4.0).

Moncef Garouani

PhD thesis, 2022

AMLBID: An auto-explained Automated Machine Learning tool for Big Industrial Data.

Moncef Garouani, Adeel Ahmad, Mourad Bouneffa, Mohamed Hamlich

SoftwareX, 2022

Using meta-learning for automated algorithms selection and configuration: an experimental framework for industrial big data.

Moncef Garouani, Adeel Ahmad, Mourad Bouneffa, Mohamed Hamlich, Grégory Bourguin, Arnaud Lewandowski

J. Big Data, 2022

Scalable Meta-Bayesian Based Hyperparameters Optimization for Machine Learning.

Moncef Garouani, Adeel Ahmad, Mourad Bouneffa, Mohamed Hamlich

Proceedings of the Smart Applications and Data Analysis - 4th International Conference, 2022

2021

Towards the Automation of Industrial Data Science: A Meta-learning based Approach.

Moncef Garouani, Adeel Ahmad, Mourad Bouneffa, Arnaud Lewandowski, Grégory Bourguin, Mohamed Hamlich

Proceedings of the 23rd International Conference on Enterprise Information Systems, 2021

Toward an Automatic Assistance Framework for the Selection and Configuration of Machine Learning Based Data Analytics Solutions in Industry 4.0.

Moncef Garouani, Mohamed Hamlich, Adeel Ahmad, Mourad Bouneffa, Grégory Bourguin, Arnaud Lewandowski

Proceedings of the BDIoT'21: Proceedings of the 5th International Conference on Big Data and Internet of Things, 2021