Ahmed Samet

Orcid: 0000-0002-1612-3465

According to our database1, Ahmed Samet authored at least 51 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
SynCRF: Syntax-Based Conditional Random Field for TRIZ Parameter Minings.
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

2023
OntoSoC: An ontology-based approach to battery pack SoC estimation.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Navigating the Knowledge Network: How Inter-Domain Information Pairing and Generative AI Can Enable Rapid Problem-Solving.
Proceedings of the Towards AI-Aided Invention and Innovation, 2023

Fault Diagnosis with Stacked Sparse AutoEncoder for Multimode Process Monitoring.
Proceedings of the 20th International Conference on Informatics in Control, 2023

SocHAP: A New Data Driven Explainable Prediction of Battery State of Charge.
Proceedings of the Computational Science - ICCS 2023, 2023

Fouille de séries temporelles pour l'explicabilité de la dégradation de l'état de charge des batteries Lithium-ions.
Proceedings of the Extraction et Gestion des Connaissances, 2023

2022
KSPMI: A Knowledge-based System for Predictive Maintenance in Industry 4.0.
Robotics Comput. Integr. Manuf., 2022

Similarity-based approach for inventive design solutions assistance.
J. Intell. Manuf., 2022

PaTRIZ: A framework for mining TRIZ contradictions in patents.
Expert Syst. Appl., 2022

Explainable Artificial Intelligent as a solution approach to the Duck Curve problem.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

Bridging Two Different Domains to Pair Their Inherent Problem-Solution Text Contents: Applications to Quantum Sensing and Biology.
Proceedings of the Systematic Innovation Partnerships with Artificial Intelligence and Information Technology, 2022

Réseau antagoniste génératif pour la fouille des contradictions TRIZ dans les brevets.
Proceedings of the Extraction et Gestion des Connaissances, 2022

2021
Replicating TRIZ Reasoning Through Deep Learning.
Proceedings of the Creative Solutions for a Sustainable Development, 2021

Patent Specialization for Deep Learning Information Retrieval Algorithms.
Proceedings of the Creative Solutions for a Sustainable Development, 2021

Auto-encoder LSTM for Li-ion SOH prediction: a comparative study on various benchmark datasets.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

PaGAN: Generative Adversarial Network for Patent understanding.
Proceedings of the IEEE International Conference on Data Mining, 2021

PatRIS: Patent Ranking Inventive Solutions.
Proceedings of the Database and Expert Systems Applications, 2021

2020
Combining chronicle mining and semantics for predictive maintenance in manufacturing processes.
Semantic Web, 2020

On mining frequent chronicles for machine failure prediction.
J. Intell. Manuf., 2020

Using Rule Quality Measures for Rule Base Refinement in Knowledge-Based Predictive Maintenance Systems.
Cybern. Syst., 2020

Evidence Theory Based Combination of Frequent Chronicles for Failure Prediction.
Proceedings of the Scalable Uncertainty Management - 14th International Conference, 2020

Manufacturing as a Service in Industry 4.0: A Multi-Objective Optimization Approach.
Proceedings of the Intelligent Decision Technologies, 2020

Build Links Between Problems and Solutions in the Patent.
Proceedings of the Systematic Complex Problem Solving in the Age of Digitalization and Open Innovation, 2020

Summarization as a Denoising Extraction Tool.
Proceedings of the Systematic Complex Problem Solving in the Age of Digitalization and Open Innovation, 2020

New ANN results on a major benchmark for the prediction of RUL of Lithium Ion batteries in electric vehicles.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

SummaTRIZ : Summarization Networks for Mining Patent Contradiction.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Combining Evidential Clustering and Ontology Reasoning for Failure Prediction in Predictive Maintenance.
Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

Énumération des occurrences d'une chronique.
Proceedings of the Extraction et Gestion des Connaissances, 2020

Study and simulation of an electric scooter based on a dynamic modelling approach.
Proceedings of the Fifteenth International Conference on Ecological Vehicles and Renewable Energies, 2020

2019
An Ontology-based Approach for Failure Classification in Predictive Maintenance Using Fuzzy C-means and SWRL Rules.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019

Ontology population with deep learning-based NLP: a case study on the Biomolecular Network Ontology.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019

An Approach Merging the IDM-Related Knowledge.
Proceedings of the New Opportunities for Innovation Breakthroughs for Developing Countries and Emerging Economies, 2019

2018
Frequent Chronicle Mining: Application on Predictive Maintenance.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017
Supply Chain Network Design under Uncertainty with Evidence Theory.
Logist. Res., 2017

Mining Rare Sequential Patterns with ASP.
Proceedings of the Late Breaking Papers of the 27th International Conference on Inductive Logic Programming, 2017

Expert Opinion Extraction from a Biomedical Database.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017

2016
Evidential data mining: precise support and confidence.
J. Intell. Inf. Syst., 2016

Argumentation Framework Based on Evidence Theory.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016

Predictive Model Based on the Evidence Theory for Assessing Critical Micelle Concentration Property.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016

Bounded Support and Confidence over Evidential Databases.
Proceedings of the International Conference on Computational Science 2016, 2016

Mining Frequent Patterns from Correlated Incomplete Databases.
Proceedings of the 8th International Conference on Agents and Artificial Intelligence (ICAART 2016), 2016

2015
Reliability Estimation Measure: Generic Discounting Approach.
Int. J. Pattern Recognit. Artif. Intell., 2015

Mining over a Reliable Evidential Database: Application on Amphiphilic Chemical Database.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Evidential data mining for length of stay (LOS) prediction problem.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2015

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.
Inf. Fusion, 2014

Integration of Extra-Information for Belief Function Theory Conflict Management Problem Through Generic Association Rules.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2014

Belief Function Classification with Conflict Management: Application on Forest Image.
Proceedings of the Tenth International Conference on Signal-Image Technology and Internet-Based Systems, 2014

Classification with Evidential Associative Rules.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

Evidential Database: A New Generalization of Databases?
Proceedings of the Belief Functions: Theory and Applications, 2014

2013
Mining Frequent Itemsets in Evidential Database.
Proceedings of the Knowledge and Systems Engineering, 2013

Generic Discounting Evaluation Approach for Urban Image Classification.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2013


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