| 2026 | DEXA | A Unified Multi-branch Framework for Real-Time Multi-rate CNC Anomaly Detection: Classical vs Deep Learning Models. | Slimane Arbaoui, Ali Ayadi, Ahmed Samet, Tedjani Mesbahi, Romuald Bon |
| 2026 | ICAART | Sensitivity and Ontology-Guided Counterfactual Explanation Generation for Battery State of Charge Estimation. | Slimane Arbaoui, Ali Ayadi, Ahmed Samet, Tedjani Mesbahi, Romuald Bon |
| 2026 | ICAART | Analyzing Degradation Mechanisms: An Explainable Multi-Task Learning Approach for Battery Forecasting. | Tho Heitzmann, Amel Hidouri, Ahmed Samet, Tedjani Mesbahi, Romuald Bon |
| 2026 | ICAART | A Stream Reasoning Framework for Thermal Image-Based Anomaly Detection in Lithium-Ion Batteries. | Marwa Zitouni, Sayara Hasanova, Franco Giustozzi, Ahmed Samet, Tedjani Mesbahi |
| 2025 | ICAART | LSTM-Based Physics-Informed Neural Network for Lithium-Ion State of Charge Estimation. | Yusif Imamverdiyev, Amel Hidouri, Tedjani Mesbahi, Ahmed Samet, Christophe Lallement |
| 2025 | ICMLA | Dynamic Time Warping-Based Evidential Clustering of Time Series with c-Medoids. | Eya Laffet, Ahmed Samet, Mohamed Anis Bach Tobji, Baptiste Lafabregue, Franois de Bertrand de Beuvron |
| 2025 | IIWAS | BATT2GRAPH: A Hybrid CNN-LSTM and Temporal Graph-Based Approach for Lithium-Ion Battery SOH Prediction and Anomaly Detection. | Hajer Akid, Mohamed Wadhah Mabrouk, Slimane Arbaoui, Ahmed Samet, Boudour Ammar |
| 2025 | KES | Anomaly Detection in Lithium-Ion Batteries via Stream Reasoning on Structured Knowledge and Time-Series Data. | Marwa Zitouni, Franco Giustozzi, Ahmed Samet, Tedjani Mesbahi |
| 2024 | ICAART | SynCRF: Syntax-Based Conditional Random Field for TRIZ Parameter Minings. | Guillaume Guarino, Ahmed Samet, Denis Cavallucci |
| 2024 | ICCS | SOCXAI: Leveraging CNN and SHAP Analysis for Battery SOC Estimation and Anomaly Detection. | Amel Hidouri, Slimane Arbaoui, Ahmed Samet, Ali Ayadi, Tedjani Mesbahi, Romuald Bon, Franois de Bertrand de Beuvron |
| 2024 | ICTAI | On the Learning of Explainable Classification Rules through Disjunctive Patterns. | Amel Hidouri, Sad Jabbour, Badran Raddaoui, Ahmed Samet |
| 2024 | KES | Toward Anomaly Representation in Lithium-Ion Batteries: An Ontology-Based Approach. | Marwa Zitouni, Franco Giustozzi, Ahmed Samet, Tedjani Mesbahi |
| 2023 | ICCS | SocHAP: A New Data Driven Explainable Prediction of Battery State of Charge. | Tho Heitzmann, Ahmed Samet, Tedjani Mesbahi, Cyrine Soufi, Ins Jorge, Romuald Bon |
| 2023 | ICINCO | Fault Diagnosis with Stacked Sparse AutoEncoder for Multimode Process Monitoring. | Yahia Kourd, Messaoud Ramdani, Riadh Toumi, Ahmed Samet |
| 2023 | KES | OntoSoC: An ontology-based approach to battery pack SoC estimation. | Ala Eddine Hamouni, Franco Giustozzi, Ahmed Samet, Ali Ayadi, Slimane Arbaoui, Tedjani Mesbahi |
| 2022 | KES | Explainable Artificial Intelligent as a solution approach to the Duck Curve problem. | Henri Jol Azemena, Ali Ayadi, Ahmed Samet |
| 2021 | DEXA | PatRIS: Patent Ranking Inventive Solutions. | Xin Ni, Ahmed Samet, Hicham Chibane, Denis Cavallucci |
| 2021 | ICDM | PaGAN: Generative Adversarial Network for Patent understanding. | Guillaume Guarino, Ahmed Samet, Amir Nafi, Denis Cavallucci |
| 2021 | ICMLA | Auto-encoder LSTM for Li-ion SOH prediction: a comparative study on various benchmark datasets. | Paul Audin, Ins Jorge, Tedjani Mesbahi, Ahmed Samet, Franois de Bertrand de Beuvron, Romuald Bon |
| 2020 | ICAART | Combining Evidential Clustering and Ontology Reasoning for Failure Prediction in Predictive Maintenance. | Qiushi Cao, Ahmed Samet, Cecilia Zanni-Merk, Franois de Bertrand de Beuvron, Christoph Reich |
| 2020 | ICMLA | SummaTRIZ : Summarization Networks for Mining Patent Contradiction. | Guillaume Guarino, Ahmed Samet, Amir Nafi, Denis Cavallucci |
| 2020 | ICMLA | New ANN results on a major benchmark for the prediction of RUL of Lithium Ion batteries in electric vehicles. | Ins Jorge, Ahmed Samet, Tedjani Mesbahi, Romuald Bon |
| 2019 | KES | Ontology population with deep learning-based NLP: a case study on the Biomolecular Network Ontology. | Ali Ayadi, Ahmed Samet, Franois de Bertrand de Beuvron, Cecilia Zanni-Merk |
| 2019 | KES | An Ontology-based Approach for Failure Classification in Predictive Maintenance Using Fuzzy C-means and SWRL Rules. | Qiushi Cao, Ahmed Samet, Cecilia Zanni-Merk, Franois de Bertrand de Beuvron, Christoph Reich |
| 2018 | ICMLA | Frequent Chronicle Mining: Application on Predictive Maintenance. | Chayma Sellami, Ahmed Samet, Mohamed Anis Bach Tobji |
| 2017 | ECSQARU | Expert Opinion Extraction from a Biomedical Database. | Ahmed Samet, Thomas Guyet, Benjamin Ngrevergne, Tien-Tuan Dao, Tuan Nha Hoang, Marie Christine Ho Ba Tho |
| 2017 | ILP | Mining Rare Sequential Patterns with ASP. | Ahmed Samet, Thomas Guyet, Benjamin Ngrevergne |
| 2016 | ICAART | Mining Frequent Patterns from Correlated Incomplete Databases. | Badran Raddaoui, Ahmed Samet |
| 2016 | ICCS | Bounded Support and Confidence over Evidential Databases. | Ahmed Samet, Tien-Tuan Dao |
| 2016 | IPMU | Predictive Model Based on the Evidence Theory for Assessing Critical Micelle Concentration Property. | Ahmed Samet, Thophile Gaudin, Huiling Lu, Anne Wadouachi, Gwladys Pourceau, Elisabeth Van Hecke, Isabelle Pezron, Karim El Kirat, Tien-Tuan Dao |
| 2016 | IPMU | Argumentation Framework Based on Evidence Theory. | Ahmed Samet, Badran Raddaoui, Tien-Tuan Dao, Allel Hadjali |
| 2015 | ICMLA | Mining over a Reliable Evidential Database: Application on Amphiphilic Chemical Database. | Ahmed Samet, Tien-Tuan Dao |
| 2014 | IPMU | Classification with Evidential Associative Rules. | Ahmed Samet, Eric Lefvre, Sadok Ben Yahia |