Generic Discounting Evaluation Approach for Urban Image Classification. - Ahmed Samet; Imen Hammami; Eric Lefèvre; Atef Hamouda (IUKM, 2013)

Mining Frequent Itemsets in Evidential Database. - Ahmed Samet; Eric Lefèvre; Sadok Ben Yahia (KSE (2), 2013)

Evidential Database: A New Generalization of Databases? - Ahmed Samet; Eric Lefèvre; Sadok Ben Yahia (Belief Functions, 2014)

Classification with Evidential Associative Rules. - Ahmed Samet; Eric Lefèvre; Sadok Ben Yahia (IPMU (1), 2014)

Belief Function Classification with Conflict Management: Application on Forest Image. - Ahmed Samet; Eric Lefevre; Sadok Ben Yahia (SITIS, 2014)

Integration of Extra-Information for Belief Function Theory Conflict Management Problem Through Generic Association Rules. - Ahmed Samet; Eric Lefevre; Sadok Ben Yahia (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2014)

Response to "Addendum for the TBM global distance measure for the association of uncertain combat ID declarations" by B. Ristic, M.C. Florea and E. Boissé. - Ahmed Samet; Eric Lefèvre; Sadok Ben Yahia (Inf. Fusion, 2014)

Evidential data mining for length of stay (LOS) prediction problem. - Issam Nouaouri; Ahmed Samet; Hamid Allaoui (CASE, 2015)

Mining over a Reliable Evidential Database: Application on Amphiphilic Chemical Database. - Ahmed Samet; Tien-Tuan Dao (ICMLA, 2015)

Reliability Estimation Measure: Generic Discounting Approach. - Ahmed Samet; Eric Lefèvre; Imen Hammami; Sadok Ben Yahia (Int. J. Pattern Recognit. Artif. Intell., 2015)

Mining Frequent Patterns from Correlated Incomplete Databases. - Badran Raddaoui; Ahmed Samet (ICAART (2), 2016)

Bounded Support and Confidence over Evidential Databases. - Ahmed Samet; Tien-Tuan Dao (ICCS, 2016)

Predictive Model Based on the Evidence Theory for Assessing Critical Micelle Concentration Property. - Ahmed Samet; Théophile Gaudin; Huiling Lu; Anne Wadouachi; Gwladys Pourceau; Elisabeth Van Hecke; Isabelle Pezron; Karim El Kirat; Tien-Tuan Dao (IPMU (1), 2016)

Argumentation Framework Based on Evidence Theory. - Ahmed Samet; Badran Raddaoui; Tien-Tuan Dao; Allel Hadjali (IPMU (2), 2016)

Evidential data mining: precise support and confidence. - Ahmed Samet; Eric Lefèvre; Sadok Ben Yahia (J. Intell. Inf. Syst., 2016)

Expert Opinion Extraction from a Biomedical Database. - Ahmed Samet; Thomas Guyet; Benjamin Négrevergne; Tien-Tuan Dao; Tuan Nha Hoang; Marie Christine Ho Ba Tho (ECSQARU, 2017)

Mining Rare Sequential Patterns with ASP. - Ahmed Samet; Thomas Guyet; Benjamin Négrevergne (ILP (Late Breaking Papers), 2017)

Supply Chain Network Design under Uncertainty with Evidence Theory. - Ahmed Samet; Yamine Bouzembrak; Eric Lefèvre (Logist. Res., 2017)

Frequent Chronicle Mining: Application on Predictive Maintenance. - Chayma Sellami; Ahmed Samet; Mohamed Anis Bach Tobji (ICMLA, 2018)

An Approach Merging the IDM-Related Knowledge. - Xin Ni; Ahmed Samet; Denis Cavallucci (TFC, 2019)

Ontology population with deep learning-based NLP: a case study on the Biomolecular Network Ontology. - Ali Ayadi; Ahmed Samet; François de Bertrand de Beuvron; Cecilia Zanni-Merk (KES, 2019)

An Ontology-based Approach for Failure Classification in Predictive Maintenance Using Fuzzy C-means and SWRL Rules. - Qiushi Cao; Ahmed Samet; Cecilia Zanni-Merk; François de Bertrand de Beuvron; Christoph Reich (KES, 2019)

Study and simulation of an electric scooter based on a dynamic modelling approach. - Inès Jorge; Tedjani Mesbahi; Théophile Paul; Ahmed Samet (EVER, 2020)

Énumération des occurrences d'une chronique. - Thomas Guyet; Philippe Besnard; Ahmed Samet; Nasreddine Ben Salha; Nicolas Lachiche (EGC, 2020)

Combining Evidential Clustering and Ontology Reasoning for Failure Prediction in Predictive Maintenance. - Qiushi Cao; Ahmed Samet; Cecilia Zanni-Merk; François de Bertrand de Beuvron; Christoph Reich (ICAART (2), 2020)

SummaTRIZ : Summarization Networks for Mining Patent Contradiction. - Guillaume Guarino; Ahmed Samet; Amir Nafi; Denis Cavallucci (ICMLA, 2020)

New ANN results on a major benchmark for the prediction of RUL of Lithium Ion batteries in electric vehicles. - Inès Jorge; Ahmed Samet; Tedjani Mesbahi; Romuald Boné (ICMLA, 2020)

Summarization as a Denoising Extraction Tool. - Guillaume Guarino; Ahmed Samet; Denis Cavallucci (TFC, 2020)

Build Links Between Problems and Solutions in the Patent. - Xin Ni; Ahmed Samet; Denis Cavallucci (TFC, 2020)

Manufacturing as a Service in Industry 4.0: A Multi-Objective Optimization Approach. - Gabriel H. A. Medeiros; Qiushi Cao; Cecilia Zanni-Merk; Ahmed Samet (KES-IDT, 2020)

Evidence Theory Based Combination of Frequent Chronicles for Failure Prediction. - Achraf Ben Chrayet; Ahmed Samet; Mohamed Anis Bach Tobji (SUM, 2020)

Using Rule Quality Measures for Rule Base Refinement in Knowledge-Based Predictive Maintenance Systems. - Qiushi Cao; Cecilia Zanni-Merk; Ahmed Samet; François de Bertrand de Beuvron; Christoph Reich (Cybern. Syst., 2020)

On mining frequent chronicles for machine failure prediction. - Chayma Sellami; Carlos Miranda; Ahmed Samet; Mohamed Anis Bach Tobji; François de Bertrand de Beuvron (J. Intell. Manuf., 2020)

Combining chronicle mining and semantics for predictive maintenance in manufacturing processes. - Qiushi Cao; Ahmed Samet; Cecilia Zanni-Merk; François de Bertrand de Beuvron; Christoph Reich (Semantic Web, 2020)

PatRIS: Patent Ranking Inventive Solutions. - Xin Ni; Ahmed Samet; Hicham Chibane; Denis Cavallucci (DEXA (2), 2021)

PaGAN: Generative Adversarial Network for Patent understanding. - Guillaume Guarino; Ahmed Samet; Amir Nafi; Denis Cavallucci (ICDM, 2021)

Auto-encoder LSTM for Li-ion SOH prediction: a comparative study on various benchmark datasets. - Paul Audin; Inès Jorge; Tedjani Mesbahi; Ahmed Samet; François de Bertrand de Beuvron; Romuald Boné (ICMLA, 2021)

Patent Specialization for Deep Learning Information Retrieval Algorithms. - Guillaume Guarino; Ahmed Samet; Denis Cavallucci (TFC, 2021)

Replicating TRIZ Reasoning Through Deep Learning. - Xin Ni; Ahmed Samet; Denis Cavallucci (TFC, 2021)

Réseau antagoniste génératif pour la fouille des contradictions TRIZ dans les brevets. - Guillaume Guarino; Ahmed Samet; Denis Cavallucci (EGC, 2022)

Bridging Two Different Domains to Pair Their Inherent Problem-Solution Text Contents: Applications to Quantum Sensing and Biology. - Nicolas Douard; Ahmed Samet; George C. Giakos; Denis Cavallucci (TFC, 2022)

Explainable Artificial Intelligent as a solution approach to the Duck Curve problem. - Henri Joël Azemena; Ali Ayadi; Ahmed Samet (KES, 2022)

PaTRIZ: A framework for mining TRIZ contradictions in patents. - Guillaume Guarino; Ahmed Samet; Denis Cavallucci (Expert Syst. Appl., 2022)

Similarity-based approach for inventive design solutions assistance. - Xin Ni; Ahmed Samet; Denis Cavallucci (J. Intell. Manuf., 2022)

KSPMI: A Knowledge-based System for Predictive Maintenance in Industry 4.0. - Qiushi Cao; Cecilia Zanni-Merk; Ahmed Samet; Christoph Reich; François de Bertrand de Beuvron; Arnold Beckmann; Cinzia Giannetti (Robotics Comput. Integr. Manuf., 2022)

Data Mining Driven Approaches for Predictive Maintenance, Inventive Design Modelling and Energy Storage Systems. - Ahmed Samet (2023)

Fouille de séries temporelles pour l'explicabilité de la dégradation de l'état de charge des batteries Lithium-ions. - Massimo Venuti; Ahmed Samet; Franco Giustozzi; Théo Heitzmann; Tedjani Mesbahi (EGC, 2023)

SocHAP: A New Data Driven Explainable Prediction of Battery State of Charge. - Théo Heitzmann; Ahmed Samet; Tedjani Mesbahi; Cyrine Soufi; Inès Jorge; Romuald Boné (ICCS (5), 2023)

Fault Diagnosis with Stacked Sparse AutoEncoder for Multimode Process Monitoring. - Yahia Kourd; Messaoud Ramdani; Riadh Toumi; Ahmed Samet (ICINCO (1), 2023)

Navigating the Knowledge Network: How Inter-Domain Information Pairing and Generative AI Can Enable Rapid Problem-Solving. - Nicolas Douard; Ahmed Samet; George C. Giakos; Denis Cavallucci (TFC, 2023)

OntoSoC: An ontology-based approach to battery pack SoC estimation. - Ala Eddine Hamouni; Franco Giustozzi; Ahmed Samet; Ali Ayadi; Slimane Arbaoui; Tedjani Mesbahi (KES, 2023)

SynCRF: Syntax-Based Conditional Random Field for TRIZ Parameter Minings. - Guillaume Guarino; Ahmed Samet; Denis Cavallucci (ICAART (3), 2024)

SOCXAI: Leveraging CNN and SHAP Analysis for Battery SOC Estimation and Anomaly Detection. - Amel Hidouri; Slimane Arbaoui; Ahmed Samet; Ali Ayadi; Tedjani Mesbahi; Romuald Boné; François de Bertrand de Beuvron (ICCS (7), 2024)

On the Learning of Explainable Classification Rules through Disjunctive Patterns. - Amel Hidouri; Saïd Jabbour; Badran Raddaoui; Ahmed Samet (ICTAI, 2024)

A Novel Interdisciplinarity Model Towards Inter-domain Information Pairing. - Nicolas Douard; Ahmed Samet; George C. Giakos; Denis Cavallucci (TFC (2), 2024)

An Interdisciplinary Framework for Systematic Innovation: A Case Study on Nature-Inspired Imaging Solutions. - Nicolas Douard; Ahmed Samet; Denis Cavallucci; George C. Giakos (IST, 2024)

Toward Anomaly Representation in Lithium-Ion Batteries: An Ontology-Based Approach. - Marwa Zitouni; Franco Giustozzi; Ahmed Samet; Tedjani Mesbahi (KES, 2024)

Dual-model approach for one-shot lithium-ion battery state of health sequence prediction. - Slimane Arbaoui; Ahmed Samet; Ali Ayadi; Tedjani Mesbahi; Romuald Boné (Array, 2024)

Validation ontologique des explications contrefactuelles pour les séries temporelles : Application aux batteries lithium-ion. - Slimane Arbaoui; Ali Ayadi; Ahmed Samet; Tedjani Mesbahi; Romuald Boné (EGC, 2025)

Approche fondée sur les motifs disjonctifs pour l'apprentissage des règles de classification. - Amel Hidouri; Saïd Jabbour; Badran Raddaoui; Ahmed Samet (EGC, 2025)

LSTM-Based Physics-Informed Neural Network for Lithium-Ion State of Charge Estimation. - Yusif Imamverdiyev; Amel Hidouri; Tedjani Mesbahi; Ahmed Samet; Christophe Lallement (ICAART (3), 2025)

Quantifying Interdisciplinarity in Scientific Articles Using Deep Learning Toward a TRIZ-Based Framework for Cross-Disciplinary Innovation. - Nicolas Douard; Ahmed Samet; Georgios K. Giakos; Denis Cavallucci (Mach. Learn. Knowl. Extr., 2025)