关注
Said. Achchab
Said. Achchab
Université Mohammed V de Rabat
没有经过验证的电子邮件地址
标题
引用次数
引用次数
年份
Machine learning applications in supply chains: An emphasis on neural network applications
H Bousqaoui, S Achchab, K Tikito
2017 3rd International Conference of Cloud Computing Technologies and …, 2017
642017
Artificial neural networks for demand forecasting: Application using Moroccan supermarket data
I Slimani, I El Farissi, S Achchab
2015 15th International Conference on Intelligent Systems Design and …, 2015
392015
Stock market prediction on high frequency data using long-short term memory
Z Lanbouri, S Achchab
Procedia Computer Science 175, 603-608, 2020
362020
Hybrid discriminant neural networks for bankruptcy prediction and risk scoring
FZ Azayite, S Achchab
Procedia Computer Science 83, 670-674, 2016
352016
Comparative analysis of short-term demand predicting models using ARIMA and deep learning
H Bousqaoui, I Slimani, S Achchab
International Journal of Electrical and Computer Engineering 11 (4), 3319, 2021
312021
Machine learning applications in supply chains: Long short-term memory for demand forecasting
H Bousqaoui, S Achchab, K Tikito
Cloud Computing and Big Data: Technologies, Applications and Security 3, 301-317, 2019
302019
Classifying Arabic text using deep learning
M Galal, MM Madbouly, A El-Zoghby
Journal of Theoretical and Applied Information Technology 97 (23), 3412-3422, 2019
242019
Some remarks about the hierarchical a posteriori error estimate
B Achchab, S Achchab, A Agouzal
Numerical Methods for Partial Differential Equations: An International …, 2004
212004
Artificial intelligence use in human resources management: strategy and operation’s impact
S Achchab, YK Temsamani
2021 IEEE 2nd International Conference on Pattern Recognition and Machine …, 2021
192021
A hybrid Deep belief network approach for Financial distress prediction
Z Lanbouri, S Achchab
2015 10th International Conference on Intelligent Systems: Theories and …, 2015
182015
Configuration and implementation of a daily artificial neural network-based forecasting system using real supermarket data
I Slimani, IE Farissi, S Achchab
International Journal of Logistics Systems and Management 28 (2), 144-163, 2017
162017
Use of artificial intelligence in human resource management:“application of machine learning algorithms to an intelligent recruitment system”
S Achchab, YK Temsamani
Advances in Deep Learning, Artificial Intelligence and Robotics: Proceedings …, 2022
142022
A combination of regression techniques and cuckoo search algorithm for FOREX speculation
S Achchab, O Bencharef, A Ouaarab
Recent Advances in Information Systems and Technologies: Volume 1 5, 226-235, 2017
132017
Application of game theory and neural network to study the behavioral probabilities in supply chain
I Slimani, I El Farissi, S Achchab
Journal of Theoretical and Applied Information Technology 82 (3), 411, 2015
132015
The impact of data accuracy on user-perceived business service's quality
M Belhiah, B Bounabat, S Achchab
2015 10th Iberian Conference on Information Systems and Technologies (CISTI …, 2015
122015
Configuration of daily demand predicting system based on neural networks
I Slimani, I El Farissi, SA Al-Qualsadi
2016 3rd International conference on logistics operations management (GOL), 1-5, 2016
102016
Game theory to control logistic costs in a two-echelon supply chain
I Slimani, S Achchab
2014 International Conference on Logistics Operations Management, 168-170, 2014
92014
The impact of payment delays on bankruptcy prediction: A comparative analysis of variables selection models and neural networks
FZ Azayite, S Achchab
2017 3rd International Conference of Cloud Computing Technologies and …, 2017
82017
Coordination by sharing demand forecasts in a supply chain using game theoretic approach
I Slimani, I El Farissi, S Achchab
2016 4th IEEE International Colloquium on Information Science and Technology …, 2016
82016
Automated machine learning: the new data science challenge
I Slimani, N Slimani, S Achchab, M Saber, I El Farissi, N Sbiti, M Amghar
Int. J. Electr. Comput. Eng. 12 (4), 4243-4252, 2022
72022
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