| KSPMI: a knowledge-based system for predictive maintenance in industry 4.0 Q Cao, C Zanni-Merk, A Samet, C Reich, FDB De Beuvron, A Beckmann, ... Robotics and Computer-Integrated Manufacturing 74, 102281, 2022 | 81 | 2022 |
| An ontology-based approach for failure classification in predictive maintenance using fuzzy C-means and SWRL rules Q Cao, A Samet, C Zanni-Merk, FDB De Beuvron, C Reich Procedia Computer Science 159, 630-639, 2019 | 45 | 2019 |
| Ontology population with deep learning-based NLP: a case study on the Biomolecular Network Ontology A Ayadi, A Samet, FB de Beuvron, C Zanni-Merk Procedia Computer Science 159, 572-581, 2019 | 42 | 2019 |
| Evidential data mining: precise support and confidence A Samet, E Lefèvre, S Ben Yahia Journal of Intelligent Information Systems 47, 135-163, 2016 | 36 | 2016 |
| Combining chronicle mining and semantics for predictive maintenance in manufacturing processes Q Cao, A Samet, C Zanni-Merk, F de Bertrand de Beuvron, C Reich Semantic Web 11 (6), 927-948, 2020 | 29 | 2020 |
| Mining frequent itemsets in evidential database A Samet, E Lefevre, SB Yahia Knowledge and Systems Engineering: Proceedings of the Fifth International …, 2014 | 20 | 2014 |
| On mining frequent chronicles for machine failure prediction C Sellami, C Miranda, A Samet, MA Bach Tobji, F de Beuvron Journal of Intelligent Manufacturing 31, 1019-1035, 2020 | 19 | 2020 |
| Using rule quality measures for rule base refinement in knowledge-based predictive maintenance systems Q Cao, C Zanni-Merk, A Samet, FDB De Beuvron, C Reich Cybernetics and Systems 51 (2), 161-176, 2020 | 17 | 2020 |
| Evidential data mining for length of stay (LOS) prediction problem I Nouaouri, A Samet, H Allaoui 2015 IEEE International Conference on Automation Science and Engineering …, 2015 | 17 | 2015 |
| SummaTRIZ: summarization networks for mining patent contradiction G Guarino, A Samet, A Nafi, D Cavallucci 2020 19th IEEE International Conference on Machine Learning and Applications …, 2020 | 13 | 2020 |
| Frequent chronicle mining: Application on predictive maintenance C Sellami, A Samet, MAB Tobji 2018 17th IEEE International Conference on Machine Learning and Applications …, 2018 | 12 | 2018 |
| Time series feature extraction for lithium-ion batteries state-of-health prediction I Jorge, T Mesbahi, A Samet, R Boné Journal of Energy Storage 59, 106436, 2023 | 11 | 2023 |
| Evidential database: a new generalization of databases? A Samet, E Lefevre, S Ben Yahia Belief Functions: Theory and Applications: Third International Conference …, 2014 | 11 | 2014 |
| Classification with evidential associative rules A Samet, E Lefevre, S Ben Yahia Information Processing and Management of Uncertainty in Knowledge-Based …, 2014 | 11 | 2014 |
| PaTRIZ: A framework for mining TRIZ contradictions in patents G Guarino, A Samet, D Cavallucci Expert Systems with Applications 207, 117942, 2022 | 10 | 2022 |
| Similarity-based approach for inventive design solutions assistance X Ni, A Samet, D Cavallucci Journal of Intelligent Manufacturing 33 (6), 1681-1698, 2022 | 10 | 2022 |
| Numerical investigation of the baffle plates effect on the solar water storage tank efficiency A Samet, MA Ben Souf, T Fakhfakh, M Haddar Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 42 …, 2020 | 10 | 2020 |
| Auto-encoder LSTM for Li-ion SOH prediction: A comparative study on various benchmark datasets P Audin, I Jorge, T Mesbahi, A Samet, FDB De Beuvron, R Boné 2021 20th IEEE International Conference on Machine Learning and Applications …, 2021 | 9 | 2021 |
| Mining rare sequential patterns with ASP A Samet, T Guyet, B Negrevergne ILP 2017-27th International Conference on Inductive Logic Programming, 2017 | 9 | 2017 |
| Reliability estimation with extrinsic and intrinsic measure in belief function theory A Samet, E Lefevre, SB Yahia 2013 5th International Conference on Modeling, Simulation and Applied …, 2013 | 9 | 2013 |
