Moncef Garouani

39 papers A* 1B 4C 3Journal 21Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	B	`conf`	Adaptive Local Kernel for Efficient Active Pairwise Constraint Clustering. IDA Vincent Blase, Julien Aligon, Moncef Garouani, Isabelle Ader, Olivier Teste
2026	J	`jnl`	AmharicIR+Instr: A Two-Dataset Resource for Neural Retrieval and Instruction Tuning. CoRR Tilahun Yeshambel, Moncef Garouani, Josiane Mothe
2026	B	`conf`	Analyzing Shapley Additive Explanations to Understand Anomaly Detection Algorithm Behaviors and Their Complementarity. IDA Jordan Levy, Paul Saves, Moncef Garouani, Nicolas Verstaevel, Benoît Gaudou
2026	J	`jnl`	Analyzing Shapley Additive Explanations to Understand Anomaly Detection Algorithm Behaviors and Their Complementarity. CoRR Jordan Levy, Paul Saves, Moncef Garouani, Nicolas Verstaevel, Benoît Gaudou
2026	J	`jnl`	Fusion-CAM: Integrating Gradient and Region-Based Class Activation Maps for Robust Visual Explanations. CoRR Hajar Dekdegue, Moncef Garouani, Josiane Mothe, Jordan Bernigaud
2026	J	`jnl`	IPatch: A Multi-Resolution Transformer Architecture for Robust Time-Series Forecasting. CoRR Aymane Harkati, Moncef Garouani, Olivier Teste, Julien Aligon, Mohamed Hamlich
2026	J	`jnl`	Improving Neural Retrieval with Attribution-Guided Query Rewriting. CoRR Moncef Garouani, Josiane Mothe
2025	J	`jnl`	An experimental survey and Perspective View on Meta-Learning for Automated Algorithms Selection and Parametrization. CoRR Moncef Garouani
2025	J	`jnl`	Dense Retrieval for Low Resource Languages - the Case of Amharic Language. CoRR Tilahun Yeshambel, Moncef Garouani, Serge Molina, Josiane Mothe
2025	A*	`conf`	Dense Retrieval for Low Resource languages - the Case of Amharic Language. SIGIR Tilahun Yeshambel, Moncef Garouani, Serge Molina, Josiane Mothe
2025	B	`conf`	From Black-Box Tuning to Guided Optimization via Hyperparameters Interaction Analysis. ICTAI Moncef Garouani, Ayah Barhrhouj
2025	J	`jnl`	From Black-Box Tuning to Guided Optimization via Hyperparameters Interaction Analysis. CoRR Moncef Garouani, Ayah Barhrhouj
2025	C	`conf`	GeMix: Conditional GAN-Based Mixup for Improved Medical Image Augmentation. CBMI Hugo Carlesso, Maria Eliza Patulea, Moncef Garouani, Radu Tudor Ionescu, Josiane Mothe
2025	J	`jnl`	GeMix: Conditional GAN-Based Mixup for Improved Medical Image Augmentation. CoRR Hugo Carlesso, Maria Eliza Patulea, Moncef Garouani, Radu Tudor Ionescu, Josiane Mothe
2025	J	`jnl`	Investigating the Duality of Interpretability and Explainability in Machine Learning. CoRR Moncef Garouani, Josiane Mothe, Ayah Barhrhouj, Julien Aligon
2025	—	`conf`	IoT-AID: Leveraging XAI for Conversational Recommendations in Cyber-Physical Systems. ICEIS (1) Mohammad Choaib, Moncef Garouani, Mourad Bouneffa, Adeel Ahmad
2025	J	`jnl`	Model Lake: a New Alternative for Machine Learning Models Management and Governance. CoRR Moncef Garouani, Franck Ravat, Nathalie Vallès-Parlangeau
2025	J	`jnl`	Surrogate Modeling and Explainable Artificial Intelligence for Complex Systems: A Workflow for Automated Simulation Exploration. CoRR Paul Saves, Pramudita Satria Palar, Muhammad Daffa Robani, Nicolas Verstaevel, Moncef Garouani, Julien Aligon, Benoît Gaudou, Koji Shimoyama, Joseph Morlier
2025	J	`jnl`	Uncovering the Limitations of Query Performance Prediction: Failures, Insights, and Implications for Selective Query Processing. CoRR Adrian-Gabriel Chifu, Sébastien Déjean, Josiane Mothe, Moncef Garouani, Diégo Ortiz, Md. Zia Ullah
2025	J	`jnl`	XStacking : An effective and inherently explainable framework for stacked ensemble learning. Inf. Fusion Moncef Garouani, Ayah Barhrhouj, Olivier Teste
2025	J	`jnl`	XStacking: Explanation-Guided Stacked Ensemble Learning. CoRR Moncef Garouani, Ayah Barhrhouj, Olivier Teste
2024	—	`conf`	Can We Predict QPP? An Approach Based on Multivariate Outliers. ECIR (3) Adrian-Gabriel Chifu, Sébastien Déjean, Moncef Garouani, Josiane Mothe, Diégo Ortiz, Md. Zia Ullah
2024	J	`jnl`	Can we predict QPP? An approach based on multivariate outliers. CoRR Adrian-Gabriel Chifu, Sébastien Déjean, Moncef Garouani, Josiane Mothe, Diégo Ortiz, Md. Zia Ullah
2024	B	`conf`	Investigating the Duality of Interpretability and Explainability in Machine Learning. ICTAI Moncef Garouani, Josiane Mothe, Ayah Barhrhouj, Julien Aligon
2024	C	`conf`	IoT Sensor Selection in Cyber-Physical Systems: Leveraging Large Language Models as Recommender Systems. CoDIT Mohammad Choaib, Moncef Garouani, Mourad Bouneffa, Yasser Mohanna
2024	J	`jnl`	IoT-AID: An Automated Decision Support Framework for IoT. SN Comput. Sci. Mohammad Choaib, Moncef Garouani, Mourad Bouneffa, Nicolas Waldhoff, Yasser Mohanna
2024	—	`conf`	Model Lake : A New Alternative for Machine Learning Models Management and Governance. WISE (4) Moncef Garouani, Franck Ravat, Nathalie Vallès-Parlangeau
2024	—	`conf`	Prédictibilité de la prédiction de la performance des requêtes ? Une approche basée sur les valeurs aberrantes multivariées. CORIA Adrian-Gabriel Chifu, Sébastien Déjean, Moncef Garouani, Josiane Mothe, Diégo Ortiz, Md. Zia Ullah
2023	J	`jnl`	Autoencoder-kNN meta-model based data characterization approach for an automated selection of AI algorithms. J. Big Data Moncef Garouani, Adeel Ahmad, Mourad Bouneffa, Mohamed Hamlich
2023	—	`conf`	Automated Decision Support Framework for IoT: Towards a Cyber Physical Recommendation System. ICEIS (1) Mohammad Choaib, Moncef Garouani, Mourad Bouneffa, Nicolas Waldhoff, Adeel Ahmad, Yasser Mohanna
2023	—	`conf`	Explaining Meta-Features Importance in Meta-Learning Through Shapley Values. ICEIS (1) Moncef Garouani, Adeel Ahmad, Mourad Bouneffa
2023	C	`conf`	Unlocking the Black Box: Towards Interactive Explainable Automated Machine Learning. IDEAL Moncef Garouani, Mourad Bouneffa
2023	J	`jnl`	Version [2.0]- [AMLBID: An auto-explained Automated Machine Learning tool for Big Industrial Data]. SoftwareX Moncef Garouani, Mourad Bouneffa, Adeel Ahmad, Mohamed Hamlich
2022	J	`jnl`	AMLBID: An auto-explained Automated Machine Learning tool for Big Industrial Data. SoftwareX Moncef Garouani, Adeel Ahmad, Mourad Bouneffa, Mohamed Hamlich
2022	—	`conf`	Scalable Meta-Bayesian Based Hyperparameters Optimization for Machine Learning. SADASC Moncef Garouani, Adeel Ahmad, Mourad Bouneffa, Mohamed Hamlich
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
2022	J	`jnl`	Using meta-learning for automated algorithms selection and configuration: an experimental framework for industrial big data. J. Big Data Moncef Garouani, Adeel Ahmad, Mourad Bouneffa, Mohamed Hamlich, Grégory Bourguin, Arnaud Lewandowski
2021	—	`conf`	Toward an Automatic Assistance Framework for the Selection and Configuration of Machine Learning Based Data Analytics Solutions in Industry 4.0. BDIoT Moncef Garouani, Mohamed Hamlich, Adeel Ahmad, Mourad Bouneffa, Grégory Bourguin, Arnaud Lewandowski
2021	—	`conf`	Towards the Automation of Industrial Data Science: A Meta-learning based Approach. ICEIS (1) Moncef Garouani, Adeel Ahmad, Mourad Bouneffa, Arnaud Lewandowski, Grégory Bourguin, Mohamed Hamlich