Personal information

Morocco

Activities

Works (13)

Machine Learning for Credit Card Fraud Detection

2022 | Book chapter
Contributors: Loubna Moumeni; Mohammed Saber; Ilham Slimani; Ilhame Elfarissi; Zineb Bougroun
Source: check_circle
Crossref

Automated machine learning: the new data science challenge

International Journal of Electrical and Computer Engineering (IJECE)
2022-08-01 | Journal article
Contributors: Ilham Slimani; Nadia Slimani; Said Achchab; Mohammed Saber; Ilhame El Farissi; Nawal Sbiti; Mustapha Amghar
Source: check_circle
Crossref

Dark data as a new challenge to improve business performances: review and perspectives

2021-06 | Conference paper
Contributors: Loubna Moumeni; Ilham Slimani; Ilhame El Farissi; Mohammed Saber; Mohammed Ghaouth Belkasmi
Source: check_circle
Crossref

A comparative performance analysis of the intrusion detection systems

Lecture Notes in Electrical Engineering
2020 | Book
EID:

2-s2.0-85089715148

Part of ISBN:

18761119 18761100

Contributors: Saber, M.; Bougroun, Z.; El Farissi, I.; Chadli, S.; Emharraf, M.; Belouali, S.; Belkasmi, M.G.; Slimani, I.
Source: Self-asserted source
Ilham Slimani via Scopus - Elsevier

Traffic forecasting in Morocco using artificial neural networks

Procedia Computer Science
2019 | Conference paper
EID:

2-s2.0-85071947515

Part of ISBN:

18770509

Contributors: Slimani, N.; Slimani, I.; Sbiti, N.; Amghar, M.
Source: Self-asserted source
Ilham Slimani via Scopus - Elsevier

Information sharing as a coordination tool in supply chain using multi-agent system and neural networks

Advances in Intelligent Systems and Computing
2018 | Book
EID:

2-s2.0-85045145521

Part of ISBN:

21945357

Contributors: Bousqaoui, H.; Slimani, I.; Achchab, S.
Source: Self-asserted source
Ilham Slimani via Scopus - Elsevier

Configuration and implementation of a daily artificial neural network-based forecasting system using real supermarket data

International Journal of Logistics Systems and Management
2017 | Journal article
EID:

2-s2.0-85029227042

Part of ISBN:

17427975 17427967

Contributors: Slimani, I.; El Farissi, I.; Achchab, S.
Source: Self-asserted source
Ilham Slimani via Scopus - Elsevier

Artificial neural networks for demand forecasting: Application using Moroccan supermarket data

International Conference on Intelligent Systems Design and Applications, ISDA
2016 | Conference paper
EID:

2-s2.0-84978383954

Part of ISBN:

21647151 21647143

Contributors: Slimani, I.; El Farissi, I.; Achchab, S.
Source: Self-asserted source
Ilham Slimani via Scopus - Elsevier

Configuration of daily demand predicting system based on neural networks

Proceedings of the 3rd IEEE International Conference on Logistics Operations Management, GOL 2016
2016 | Conference paper
EID:

2-s2.0-85001948885

Contributors: Slimani, I.; Farissi, I.E.; Al-Qualsadi, S.A.
Source: Self-asserted source
Ilham Slimani via Scopus - Elsevier

Coordination by sharing demand forecasts in a supply chain using game theoretic approach

Colloquium in Information Science and Technology, CIST
2016 | Conference paper
EID:

2-s2.0-85010210515

Part of ISBN:

23271884 2327185X

Contributors: El Farissi, I.; Slimani, I.; Achchab, S.
Source: Self-asserted source
Ilham Slimani via Scopus - Elsevier

Application of game theory and neural network to study the behavioral probabilities in supply chain

Journal of Theoretical and Applied Information Technology
2015 | Journal article
EID:

2-s2.0-84952779428

Part of ISBN:

18173195 19928645

Contributors: Slimani, I.; El Farissi, I.; Achchab, S.
Source: Self-asserted source
Ilham Slimani via Scopus - Elsevier

Game theory to control logistic costs in a two-echelon supply chain

Proceedings of 2nd IEEE International Conference on Logistics Operations Management, GOL 2014
2014 | Conference paper
EID:

2-s2.0-84908632329

Contributors: Slimani, I.; Achchab, S.
Source: Self-asserted source
Ilham Slimani via Scopus - Elsevier

Sharing demand forecasts in a basic supply chain using game theory

2013 5th International Conference on Modeling, Simulation and Applied Optimization, ICMSAO 2013
2013 | Conference paper
EID:

2-s2.0-84881448177

Contributors: Slimani, I.; Achchab, S.
Source: Self-asserted source
Ilham Slimani via Scopus - Elsevier