About Me

Dr. Ahmed Samet is a Postdoctoral Research Fellow with the Artificial Intelligence and Vision Group at Oxford Brookes University, United Kingdom. He holds an M.S (2010) in Computer Science from the University of Tunis-ELManar, Tunisia and a Ph.D (2014) in Computer Science from University of Artois, France under the supervision of Prof. Eric Lefèvre.

Work Experience

2017 - Now

Postdoctoral Research Fellow at Oxford Brookes University

2016 - 2017

Postdoctoral Research Fellow at IRISA

Funded by the SePaDec project.

2015 - 2016

Postdoctoral Research Fellow at BMBI

Funded by the industrial project AMPHIPRED

2014 - 2015

Assistant Professor at Université du Littoral Côte d'Opale

2013 - 2014

Assistant Professor at Université d'Artois

Education

Ph.D Degree - 2014

Université d'Artois

My Ph.D title is Evidence Theory: Application of Data mining Tools for imperfect data treatment.

Master's Degree - 2010

University Tunis EL Manar

My MSc title is Conflict Management under Evidence Theory for Tree Crown's Classification

Mastery of Science, Computer Science - 2008

University Tunis EL Manar

Research Topics

Uncertainty Modeling 90%
Machine Learning under Uncertainty 70%
Data Mining70%
Image Processing 40%
Declarative Programming 15%
Argumentation 10%
Supply Chain Network Design10%

My Publications

Peer-Reviewed Journal Articles


  1. A. Samet, Y. Bouzembrak and E. Lefevre : Supply Chain Network Design under Uncertainty with Evidence Theory, Logistics Research Journal, To appear, 2017.[pdf]

  2. A. Samet, E. Lefevre and S. Ben Yahia : Evidential Data mining : Precise support and confidence, Journal of Intelligent Information Systems, 47(1), 2016.[pdf]

  3. A. Samet, I. Hammami, E. Lefevre and S. Ben Yahia : Reliability estimation measure : Generic Discounting Approach. International Journal of Pattern Recognition and Artificial Intelligence, 29(7), 2015.[pdf]

  4. A. Samet, E. Lefevre and S. Ben Yahia : Integration of extra-information for belief function theory conflict management problem through generic association rules. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 22(04) :531-551, 2014.[pdf]


Peer-Reviewed Conference Papers


  1. A. Samet, T. Guyet, B. Negrevergne, T-T. Dao, T. N. Hoang and M. C. Ho Ba Tho : Expert Opinion Extraction from a Biomedical Database, European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU), Lugano, Switzerland, 2017.[pdf]

  2. A. Samet and T-T. Dao : Bounded Support and Confidence over Evidential Databases, In Proceeding of the International Conference on Computational Science, ICCS’2016, San Diego, California, 1822-1833, 2016.[pdf]

  3. A. Samet, T. Gaudin, H. Lu, A. Wadouachi, G. Pourceau, E. Van Hecke, I. Pezron, Karim EL Kirat and T-T. Dao : Predictive model based on the evidence theory for assessing Critical Micelle Concentration property, In Proceeding of 16th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Eindhoven, Netherlands, 510-522, 2016.[pdf]

  4. A. Samet, B. Raddaoui, T-T. Dao and A. Hadjali : Argumentation Framework based on Evidence Theory, In Proceeding of 16th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Eindhoven, Netherlands, 253-264, 2016.[pdf]

  5. B. Raddaoui and A. Samet : Mining Frequent Patterns from Correlated Incomplete Databases. In Proceeding of the 8th International Conference on Agents and Articial Intelligence, ICAART’2016,Roma, Italy, 377-384, 2016.[pdf]

  6. I. Nouaouri, A. Samet and H. Allaoui : Evidential Data Mining for Length of Stay (LOS) Prediction Problem, In Proceeding of 11th IEEE International Conference on Automation Science and Engineering, Gothenburg, Sweden, pages 1415-1420, 2015.[pdf]

  7. A. Samet and T-T. Dao : Mining over a Reliable Evidential Database : Application on amphiphilic chemical database. In Proceeding of 14th International Conference on Machine Learning and Applications, ICMLA’2015, Florida, Miami, USA, pages 1257-1262, 2015.[pdf]

  8. A. Samet, E. Lefevre and S. Ben Yahia : Belief function classification with conflict management : application on forest image, In Proceedings of 10th International Conference on Signal Image Technology & Internet based Systems, Marrakesh, Marrocco, pages 14-20, 2014.[pdf]

  9. A. Samet, E. Lefevre and S. Ben Yahia : Evidential database : a new generalization of databases ? In Proceedings of 3rd International Conference on Belief Functions, Belief 2014, Oxford, UK,pages 105-114, 2014.[pdf]

  10. A. Samet, E. Lefèvre and S. Ben Yahia : Classification with evidential associative rules. In Proceedings of 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Montpellier, France, pages 25-35, 2014.[pdf]

  11. A. Samet, E. Lefevre and S. Ben Yahia : Reliability estimation with extrinsic and intrinsic measure in belief function theory. In Proceedings of 5th International Conference on Modeling, Simulation and Applied Optimization, ICMSAO’13, Hammamet, Tunisia, pages 1-6, 2013.[pdf]

  12. A. Samet, E. Lefevre and S. Ben Yahia : Mining frequent itemsets in evidential database. In Proceedings of the fifth International Conference on Knowledge and Systems Engeneering, Hanoi,Vietnam, pages 377-388, 2013.[pdf]

  13. A. Samet, I. Hammami, E. Lefevre and A. Hamouda : Generic discounting evaluation approach for urban image classification. In Proceedings of 3rd international symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM’2013, Beijing, China, pages 79-90, 2013.[pdf]

  14. A. Samet, Z. Ben Dhiaf, A. Hamouda and E. Lefevre : Classification of high-resolution remote sensing image by adapting the distance belief function estimation model. In Proceedings of International Conference on Communications, Computing and Control Applications, CCCA’2011, Hammamet, Tunisia, pages 1-6, 2011.[pdf]


Ph.D thesis (in french)


My thesis (in french)


Contact Me