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Ahmed Samet
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2020 – today
- 2024
- [j12]Slimane Arbaoui, Ahmed Samet, Ali Ayadi, Tedjani Mesbahi, Romuald Boné:
Dual-model approach for one-shot lithium-ion battery state of health sequence prediction. Array 24: 100367 (2024) - [c43]Guillaume Guarino, Ahmed Samet, Denis Cavallucci:
SynCRF: Syntax-Based Conditional Random Field for TRIZ Parameter Minings. ICAART (3) 2024: 890-897 - [c42]Amel Hidouri, Slimane Arbaoui, Ahmed Samet, Ali Ayadi, Tedjani Mesbahi, Romuald Boné, François de Bertrand de Beuvron:
SOCXAI: Leveraging CNN and SHAP Analysis for Battery SOC Estimation and Anomaly Detection. ICCS (7) 2024: 177-191 - [c41]Nicolas Douard, Ahmed Samet, George C. Giakos, Denis Cavallucci:
A Novel Interdisciplinarity Model Towards Inter-domain Information Pairing. TFC (2) 2024: 277-285 - [c40]Nicolas Douard, Ahmed Samet, Denis Cavallucci, George C. Giakos:
An Interdisciplinary Framework for Systematic Innovation: A Case Study on Nature-Inspired Imaging Solutions. IST 2024: 1-5 - 2023
- [c39]Massimo Venuti, Ahmed Samet, Franco Giustozzi, Théo Heitzmann, Tedjani Mesbahi:
Fouille de séries temporelles pour l'explicabilité de la dégradation de l'état de charge des batteries Lithium-ions. EGC 2023: 305-312 - [c38]Théo Heitzmann, Ahmed Samet, Tedjani Mesbahi, Cyrine Soufi, Inès Jorge, Romuald Boné:
SocHAP: A New Data Driven Explainable Prediction of Battery State of Charge. ICCS (5) 2023: 463-475 - [c37]Yahia Kourd, Messaoud Ramdani, Riadh Toumi, Ahmed Samet:
Fault Diagnosis with Stacked Sparse AutoEncoder for Multimode Process Monitoring. ICINCO (1) 2023: 237-242 - [c36]Nicolas Douard, Ahmed Samet, George C. Giakos, Denis Cavallucci:
Navigating the Knowledge Network: How Inter-Domain Information Pairing and Generative AI Can Enable Rapid Problem-Solving. TFC 2023: 139-146 - [c35]Ala Eddine Hamouni, Franco Giustozzi, Ahmed Samet, Ali Ayadi, Slimane Arbaoui, Tedjani Mesbahi:
OntoSoC: An ontology-based approach to battery pack SoC estimation. KES 2023: 2254-2263 - 2022
- [j11]Guillaume Guarino, Ahmed Samet, Denis Cavallucci:
PaTRIZ: A framework for mining TRIZ contradictions in patents. Expert Syst. Appl. 207: 117942 (2022) - [j10]Xin Ni, Ahmed Samet, Denis Cavallucci:
Similarity-based approach for inventive design solutions assistance. J. Intell. Manuf. 33(6): 1681-1698 (2022) - [j9]Qiushi Cao, Cecilia Zanni-Merk, Ahmed Samet, Christoph Reich, François de Bertrand de Beuvron, Arnold Beckmann, Cinzia Giannetti:
KSPMI: A Knowledge-based System for Predictive Maintenance in Industry 4.0. Robotics Comput. Integr. Manuf. 74: 102281 (2022) - [c34]Guillaume Guarino, Ahmed Samet, Denis Cavallucci:
Réseau antagoniste génératif pour la fouille des contradictions TRIZ dans les brevets. EGC 2022: 379-386 - [c33]Nicolas Douard, Ahmed Samet, George C. Giakos, Denis Cavallucci:
Bridging Two Different Domains to Pair Their Inherent Problem-Solution Text Contents: Applications to Quantum Sensing and Biology. TFC 2022: 61-69 - [c32]Henri Joël Azemena, Ali Ayadi, Ahmed Samet:
Explainable Artificial Intelligent as a solution approach to the Duck Curve problem. KES 2022: 2747-2756 - 2021
- [c31]Xin Ni, Ahmed Samet, Hicham Chibane, Denis Cavallucci:
PatRIS: Patent Ranking Inventive Solutions. DEXA (2) 2021: 295-309 - [c30]Guillaume Guarino, Ahmed Samet, Amir Nafi, Denis Cavallucci:
PaGAN: Generative Adversarial Network for Patent understanding. ICDM 2021: 1084-1089 - [c29]Paul Audin, Inès Jorge, Tedjani Mesbahi, Ahmed Samet, François de Bertrand de Beuvron, Romuald Boné:
Auto-encoder LSTM for Li-ion SOH prediction: a comparative study on various benchmark datasets. ICMLA 2021: 1529-1536 - [c28]Guillaume Guarino, Ahmed Samet, Denis Cavallucci:
Patent Specialization for Deep Learning Information Retrieval Algorithms. TFC 2021: 162-169 - [c27]Xin Ni, Ahmed Samet, Denis Cavallucci:
Replicating TRIZ Reasoning Through Deep Learning. TFC 2021: 330-339 - 2020
- [j8]Qiushi Cao, Cecilia Zanni-Merk, Ahmed Samet, François de Bertrand de Beuvron, Christoph Reich:
Using Rule Quality Measures for Rule Base Refinement in Knowledge-Based Predictive Maintenance Systems. Cybern. Syst. 51(2): 161-176 (2020) - [j7]Chayma Sellami, Carlos Miranda, Ahmed Samet, Mohamed Anis Bach Tobji, François de Bertrand de Beuvron:
On mining frequent chronicles for machine failure prediction. J. Intell. Manuf. 31(4): 1019-1035 (2020) - [j6]Qiushi Cao, Ahmed Samet, Cecilia Zanni-Merk, François de Bertrand de Beuvron, Christoph Reich:
Combining chronicle mining and semantics for predictive maintenance in manufacturing processes. Semantic Web 11(6): 927-948 (2020) - [c26]Inès Jorge, Tedjani Mesbahi, Théophile Paul, Ahmed Samet:
Study and simulation of an electric scooter based on a dynamic modelling approach. EVER 2020: 1-6 - [c25]Thomas Guyet, Philippe Besnard, Ahmed Samet, Nasreddine Ben Salha, Nicolas Lachiche:
Énumération des occurrences d'une chronique. EGC 2020: 253-260 - [c24]Qiushi Cao, Ahmed Samet, Cecilia Zanni-Merk, François de Bertrand de Beuvron, Christoph Reich:
Combining Evidential Clustering and Ontology Reasoning for Failure Prediction in Predictive Maintenance. ICAART (2) 2020: 618-625 - [c23]Guillaume Guarino, Ahmed Samet, Amir Nafi, Denis Cavallucci:
SummaTRIZ : Summarization Networks for Mining Patent Contradiction. ICMLA 2020: 979-986 - [c22]Inès Jorge, Ahmed Samet, Tedjani Mesbahi, Romuald Boné:
New ANN results on a major benchmark for the prediction of RUL of Lithium Ion batteries in electric vehicles. ICMLA 2020: 1246-1253 - [c21]Xin Ni, Ahmed Samet, Denis Cavallucci:
Build Links Between Problems and Solutions in the Patent. TFC 2020: 64-76 - [c20]Guillaume Guarino, Ahmed Samet, Denis Cavallucci:
Summarization as a Denoising Extraction Tool. TFC 2020: 77-87 - [c19]Gabriel H. A. Medeiros, Qiushi Cao, Cecilia Zanni-Merk, Ahmed Samet:
Manufacturing as a Service in Industry 4.0: A Multi-Objective Optimization Approach. KES-IDT 2020: 37-47 - [c18]Achraf Ben Chrayet, Ahmed Samet, Mohamed Anis Bach Tobji:
Evidence Theory Based Combination of Frequent Chronicles for Failure Prediction. SUM 2020: 226-233 - [e1]Mohamed Anis Bach Tobji, Rim Jallouli, Ahmed Samet, Mourad Touzani, Vasile Alecsandru Strat, Paul Pocatilu:
Digital Economy. Emerging Technologies and Business Innovation - 5th International Conference on Digital Economy, ICDEc 2020, Bucharest, Romania, June 11-13, 2020, Proceedings. Lecture Notes in Business Information Processing 395, Springer 2020, ISBN 978-3-030-64641-7 [contents]
2010 – 2019
- 2019
- [c17]Xin Ni, Ahmed Samet, Denis Cavallucci:
An Approach Merging the IDM-Related Knowledge. TFC 2019: 147-158 - [c16]Ali Ayadi, Ahmed Samet, François de Bertrand de Beuvron, Cecilia Zanni-Merk:
Ontology population with deep learning-based NLP: a case study on the Biomolecular Network Ontology. KES 2019: 572-581 - [c15]Qiushi Cao, Ahmed Samet, Cecilia Zanni-Merk, François de Bertrand de Beuvron, Christoph Reich:
An Ontology-based Approach for Failure Classification in Predictive Maintenance Using Fuzzy C-means and SWRL Rules. KES 2019: 630-639 - 2018
- [c14]Chayma Sellami, Ahmed Samet, Mohamed Anis Bach Tobji:
Frequent Chronicle Mining: Application on Predictive Maintenance. ICMLA 2018: 1388-1393 - 2017
- [j5]Ahmed Samet, Yamine Bouzembrak, Eric Lefèvre:
Supply Chain Network Design under Uncertainty with Evidence Theory. Logist. Res. 10(1): 8 (2017) - [c13]Ahmed Samet, Thomas Guyet, Benjamin Négrevergne, Tien-Tuan Dao, Tuan Nha Hoang, Marie Christine Ho Ba Tho:
Expert Opinion Extraction from a Biomedical Database. ECSQARU 2017: 135-145 - [c12]Ahmed Samet, Thomas Guyet, Benjamin Négrevergne:
Mining Rare Sequential Patterns with ASP. ILP (Late Breaking Papers) 2017: 51-60 - [i1]Ahmed Samet, Thomas Guyet, Benjamin Négrevergne, Tien-Tuan Dao, Tuan Nha Hoang, Marie Christine Ho Ba Tho:
Expert Opinion Extraction from a Biomedical Database. CoRR abs/1709.03270 (2017) - 2016
- [j4]Ahmed Samet, Eric Lefèvre, Sadok Ben Yahia:
Evidential data mining: precise support and confidence. J. Intell. Inf. Syst. 47(1): 135-163 (2016) - [c11]Badran Raddaoui, Ahmed Samet:
Mining Frequent Patterns from Correlated Incomplete Databases. ICAART (2) 2016: 377-384 - [c10]Ahmed Samet, Tien-Tuan Dao:
Bounded Support and Confidence over Evidential Databases. ICCS 2016: 1822-1833 - [c9]Ahmed Samet, Badran Raddaoui, Tien-Tuan Dao, Allel Hadjali:
Argumentation Framework Based on Evidence Theory. IPMU (2) 2016: 253-264 - [c8]Ahmed Samet, Théophile Gaudin, Huiling Lu, Anne Wadouachi, Gwladys Pourceau, Elisabeth Van Hecke, Isabelle Pezron, Karim El Kirat, Tien-Tuan Dao:
Predictive Model Based on the Evidence Theory for Assessing Critical Micelle Concentration Property. IPMU (1) 2016: 510-522 - 2015
- [j3]Ahmed Samet, Eric Lefèvre, Imen Hammami, Sadok Ben Yahia:
Reliability Estimation Measure: Generic Discounting Approach. Int. J. Pattern Recognit. Artif. Intell. 29(7): 1559011:1-1559011:31 (2015) - [c7]Issam Nouaouri, Ahmed Samet, Hamid Allaoui:
Evidential data mining for length of stay (LOS) prediction problem. CASE 2015: 1415-1420 - [c6]Ahmed Samet, Tien-Tuan Dao:
Mining over a Reliable Evidential Database: Application on Amphiphilic Chemical Database. ICMLA 2015: 1257-1262 - 2014
- [j2]Ahmed Samet, Eric Lefevre, Sadok Ben Yahia:
Integration of Extra-Information for Belief Function Theory Conflict Management Problem Through Generic Association Rules. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 22(4): 531-552 (2014) - [j1]Ahmed Samet, Eric Lefèvre, Sadok Ben Yahia:
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. Inf. Fusion 20: 6 (2014) - [c5]Ahmed Samet, Eric Lefèvre, Sadok Ben Yahia:
Evidential Database: A New Generalization of Databases? Belief Functions 2014: 105-114 - [c4]Ahmed Samet, Eric Lefèvre, Sadok Ben Yahia:
Classification with Evidential Associative Rules. IPMU (1) 2014: 25-35 - [c3]Ahmed Samet, Eric Lefevre, Sadok Ben Yahia:
Belief Function Classification with Conflict Management: Application on Forest Image. SITIS 2014: 14-20 - 2013
- [c2]Ahmed Samet, Imen Hammami, Eric Lefèvre, Atef Hamouda:
Generic Discounting Evaluation Approach for Urban Image Classification. IUKM 2013: 79-90 - [c1]Ahmed Samet, Eric Lefèvre, Sadok Ben Yahia:
Mining Frequent Itemsets in Evidential Database. KSE (2) 2013: 377-388
Coauthor Index
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last updated on 2024-12-22 19:01 CET by the dblp team
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