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ORCIDSaïd Achchab 0001
Person information
- affiliation: National School for Computer Science and Systems Analysis (ENSIAS), Mohammed V University of Rabat, Morocco
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2020 – today
- 2022
[j4]Maha Toub
, Omar Souissi, Said Achchab:
Operating room scheduling 2019 survey. Int. J. Medical Eng. Informatics 14(1): 1-30 (2022)- [c13]Maha Toub, Said Achchab, Omar Souissi:
Accelerated operating room scheduling using Lagrangian relaxation method and VNS meta-heuristic. ICMLC 2022: 313-317 - 2020
- [c12]Zineb Lanbouri, Saaid Achchab:
Stock Market prediction on High frequency data using Long-Short Term Memory. FNC/MobiSPC 2020: 603-608 - [i2]Zineb Lanbouri, Saaid Achchab:
A new approach for trading based on Long Short Term Memory technique. CoRR abs/2001.03333 (2020)
2010 – 2019
- 2019
- [i1]Fatima Zahra Azayite, Saïd Achchab:
A hybrid neural network model based on improved PSO and SA for bankruptcy prediction. CoRR abs/1907.12179 (2019) - 2018
- [c11]Fatima Zahra Azayite, Saïd Achchab:
Topology design of bankruptcy prediction neural networks using Particle swarm optimization and backpropagation. LOPAL 2018: 49:1-49:6 - [c10]Halima Bousqaoui, Ilham Slimani, Saïd Achchab:
Information Sharing as a Coordination Tool in Supply Chain Using Multi-agent System and Neural Networks. WorldCIST (1) 2018: 626-632 - 2017
- [j3]Fatima Zahra Azayite, Saïd Achchab:
Bankruptcy Prediction and Risk Scoring Using Hybrid Discriminant Neural Networks. J. Ubiquitous Syst. Pervasive Networks 8(2): 1-6 (2017) - [c9]Saïd Achchab, Omar Bencharef, Aziz Ouaarab:
A Combination of Regression Techniques and Cuckoo Search Algorithm for FOREX Speculation. WorldCIST (1) 2017: 226-235 - 2016
- [c8]Fatima Zahra Azayite, Saïd Achchab:
Hybrid Discriminant Neural Networks for Bankruptcy Prediction and Risk Scoring. ANT/SEIT 2016: 670-674 - [c7]Ilhame El Farissi, Ilham Slimani, Saïd Achchab:
Coordination by sharing demand forecasts in a supply chain using game theoretic approach. CIST 2016: 122-127 - [c6]Ilham Slimani, Ilhame El Farissi, Saïd Achchab Al-Qualsadi:
Configuration of daily demand predicting system based on neural networks. GOL 2016: 1-5 - 2015
- [c5]Meryam Belhiah, Mohammed Salim Benqatla, Bouchaib Bounabat, Saïd Achchab:
Towards a Context-aware Framework for Assessing and Optimizing Data Quality Projects. DATA 2015: 189-194 - [c4]Ilham Slimani, Ilhame El Farissi, Saïd Achchab:
Artificial neural networks for demand forecasting: Application using Moroccan supermarket data. ISDA 2015: 266-271 - [c3]Zineb Lanbouri, Saaid Achchab:
A hybrid Deep belief network approach for Financial distress prediction. SITA 2015: 1-6 - 2014
- [c2]Ilham Slimani, Saïd Achchab:
Game theory to control logistic costs in a two-echelon supply chain. GOL 2014: 168-170 - [c1]Tikito Kawtar, Saïd Achchab, Youssef Benadada:
Stochastic Model Predictive Control for costs optimization in a supply chain under a stochastic demand. GOL 2014: 171-175
2000 – 2009
- 2003
- [j2]Boujemâa Achchab, Said Achchab, Abdellatif Agouzal, Rachid Ellaia:
On a posteriori error estimator for primal, equilibrium and mixed approximation of diffusion equations. Appl. Math. Comput. 134(1): 83-92 (2003) - [j1]Boujemâa Achchab, Said Achchab, Owe Axelsson, Ali Souissi:
Upper Bound of the Constant in Strengthened C.B.S. Inequality for Systems of Linear Partial Differential Equations. Numer. Algorithms 32(2-4): 185-191 (2003)
Coauthor Index
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last updated on 2024-04-25 02:18 CEST by the dblp team
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