Saïd Achchab

Affiliations:
  • National School for Computer Science and Systems Analysis (ENSIAS), Mohammed V University of Rabat, Morocco


According to our database1, Saïd Achchab authored at least 19 papers between 2003 and 2022.

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

Timeline

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Bibliography

2022
Operating room scheduling 2019 survey.
Int. J. Medical Eng. Informatics, 2022

Accelerated operating room scheduling using Lagrangian relaxation method and VNS meta-heuristic.
Proceedings of the ICMLC 2022: 14th International Conference on Machine Learning and Computing, Guangzhou, China, February 18, 2022

2020
A new approach for trading based on Long Short Term Memory technique.
CoRR, 2020

Stock Market prediction on High frequency data using Long-Short Term Memory.
Proceedings of the 17th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2020) / The 15th International Conference on Future Networks and Communications (FNC-2020) / The 10th International Conference on Sustainable Energy Information Technology, 2020

2019
A hybrid neural network model based on improved PSO and SA for bankruptcy prediction.
CoRR, 2019

2018
Information Sharing as a Coordination Tool in Supply Chain Using Multi-agent System and Neural Networks.
Proceedings of the Trends and Advances in Information Systems and Technologies, 2018

Topology design of bankruptcy prediction neural networks using Particle swarm optimization and backpropagation.
Proceedings of the International Conference on Learning and Optimization Algorithms: Theory and Applications, 2018

2017
Bankruptcy Prediction and Risk Scoring Using Hybrid Discriminant Neural Networks.
J. Ubiquitous Syst. Pervasive Networks, 2017

A Combination of Regression Techniques and Cuckoo Search Algorithm for FOREX Speculation.
Proceedings of the Recent Advances in Information Systems and Technologies, 2017

2016
Configuration of daily demand predicting system based on neural networks.
Proceedings of the 3rd International Conference on Logistics Operations Management, 2016

Coordination by sharing demand forecasts in a supply chain using game theoretic approach.
Proceedings of the 4th IEEE International Colloquium on Information Science and Technology, 2016

Hybrid Discriminant Neural Networks for Bankruptcy Prediction and Risk Scoring.
Proceedings of the 7th International Conference on Ambient Systems, 2016

2015
A hybrid Deep belief network approach for Financial distress prediction.
Proceedings of the 10th International Conference on Intelligent Systems: Theories and Applications, 2015

Artificial neural networks for demand forecasting: Application using Moroccan supermarket data.
Proceedings of the 15th International Conference on Intelligent Systems Design and Applications, 2015

Towards a Context-aware Framework for Assessing and Optimizing Data Quality Projects.
Proceedings of the DATA 2015, 2015

2014
Game theory to control logistic costs in a two-echelon supply chain.
Proceedings of the 2nd International Conference on Logistics Operations Management, 2014

Stochastic Model Predictive Control for costs optimization in a supply chain under a stochastic demand.
Proceedings of the 2nd International Conference on Logistics Operations Management, 2014

2003
Upper Bound of the Constant in Strengthened C.B.S. Inequality for Systems of Linear Partial Differential Equations.
Numer. Algorithms, 2003

On a posteriori error estimator for primal, equilibrium and mixed approximation of diffusion equations.
Appl. Math. Comput., 2003


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