Abdelaziz Berrado

Orcid: 0000-0001-8414-4607

According to our database1, Abdelaziz Berrado authored at least 58 papers between 2007 and 2024.

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

Timeline

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Bibliography

2024
A survey and taxonomy of methods interpreting random forest models.
CoRR, 2024

Assessing the Generalizability of Cancer Prognosis Models: Breast and Colon Cancer Case Studies.
Proceedings of the Trustworthy Artificial Intelligence for Healthcare, 2024

2023
Rule-Extraction Methods From Feedforward Neural Networks: A Systematic Literature Review.
CoRR, 2023

Towards a general cancer prognosis platform: Application to lung cancer.
Proceedings of the 14th International Conference on Intelligent Systems: Theories and Applications, 2023

A MCDA Approach for Prioritizing Road Safety Indicators.
Proceedings of the 14th International Conference on Intelligent Systems: Theories and Applications, 2023

Towards an Effective Electrical Market Design: Identifying and Defining Key Criteria for Decision-Making.
Proceedings of the 14th International Conference on Intelligent Systems: Theories and Applications, 2023

Deep Learning Approaches for Vessel Estimated Time of Arrival Prediction: A Case Study on the Saint Lawrence River.
Proceedings of the 14th International Conference on Intelligent Systems: Theories and Applications, 2023

Deep Learning Model for Multi-Step Ahead Prediction of Solar Irradiance: Case of Study of Morocco.
Proceedings of the 14th International Conference on Intelligent Systems: Theories and Applications, 2023

Multi-criteria Decision Analysis to Support Clinical Decision Making in Oncology: A Literature Review.
Proceedings of the 14th International Conference on Intelligent Systems: Theories and Applications, 2023

An Optimization Approach for Optimizing PRIM's Randomly Generated Rules Using the Genetic Algorithm.
Proceedings of the Optimization and Learning - 6th International Conference, 2023

2022
A novel approach for discretizing continuous attributes based on tree ensemble and moment matching optimization.
Int. J. Data Sci. Anal., 2022

Tuning ForestDisc Hyperparameters: A Sensitivity Analysis.
Proceedings of the Optimization and Learning - 5th International Conference, 2022

2021
Aligning Information Technology and Supply Chain: An Approach to Map SCOR to COBIT.
Int. J. Inf. Syst. Model. Des., 2021

CARs-RP: Lasso-based class association rules pruning.
Int. J. Bus. Intell. Data Min., 2021

2020
A Compilation and Analysis of Critical Success Factors for the ERP Implementation.
Int. J. Enterp. Inf. Syst., 2020

Comparison of MCDM Methods for Multi-echelon Inventory System Selection Problem.
Proceedings of the SITA'20: Theories and Applications, 2020

State of the art of Fairness, Interpretability and Explainability in Machine Learning: Case of PRIM.
Proceedings of the SITA'20: Theories and Applications, 2020

Predicting Ships Estimated Time of Arrival based on AIS Data.
Proceedings of the SITA'20: Theories and Applications, 2020

An implementation of a multivariate discretization for supervised learning using Forestdisc.
Proceedings of the SITA'20: Theories and Applications, 2020

RCAR Framework: Building a Regularized Class Association Rules Model in a Categorical Data Space.
Proceedings of the SITA'20: Theories and Applications, 2020

An AHP Based Approach for Multi-echelon Inventory System Selection: Case of Distribution Systems.
Proceedings of the 5th International Conference on Logistics Operations Management, 2020

A Systematic Literature Review of Machine Learning Applications for Port's Operations.
Proceedings of the 5th International Conference on Logistics Operations Management, 2020

Is Machine Learning Revolutionizing Supply Chain?
Proceedings of the 5th International Conference on Logistics Operations Management, 2020

Managing Stakeholder Participation in Transport Decision Making: Perspective of Public Pharmaceuticals Supply Chain in Morocco.
Proceedings of the 5th International Conference on Logistics Operations Management, 2020

Composite indicators for assessing health care supply chains.
Proceedings of the 5th International Conference on Logistics Operations Management, 2020

A fuzzy TOPSIS based approach for alignment of information technology strategy in supply chains.
Proceedings of the 5th International Conference on Logistics Operations Management, 2020

2019
Interpretable regularized class association rules algorithm for classification in a categorical data space.
Inf. Sci., 2019

2018
Clustering of Pharmaceutical products using Random Forest algorithm.
Proceedings of the 12th International Conference on Intelligent Systems: Theories and Applications, 2018

Design of Intelligent Warehouse Based on RFID and WSNs Technologies.
Proceedings of the 12th International Conference on Intelligent Systems: Theories and Applications, 2018

A Novel Approach to Manage the Moroccan Public Drugs Supply Chain Using the Viable System Model.
Proceedings of the 12th International Conference on Intelligent Systems: Theories and Applications, 2018

Short Term Prediction Framework for Moroccan Stock Market Using Artificial Neural Networks.
Proceedings of the 12th International Conference on Intelligent Systems: Theories and Applications, 2018

Segmentation of Innovation determinants: Case of the Global Innovation Index.
Proceedings of the 12th International Conference on Intelligent Systems: Theories and Applications, 2018

Assessing interpretation capacity in Machine Learning: A critical review.
Proceedings of the 12th International Conference on Intelligent Systems: Theories and Applications, 2018

Categorizing projects for portfolio selection using clustering techniques.
Proceedings of the 12th International Conference on Intelligent Systems: Theories and Applications, 2018

An Analytic Hierarchy Process based approach for Information technology governance framework selection.
Proceedings of the 12th International Conference on Intelligent Systems: Theories and Applications, 2018

Finding disjoint clusters in a categorical data space.
Proceedings of the 12th International Conference on Intelligent Systems: Theories and Applications, 2018

2016
A MCDA approach to select a Kanban system for multi-echelon inventory management in a pharmaceutical supply chain.
Proceedings of the 11th International Conference on Intelligent Systems: Theories and Applications, 2016

Strategic decision processes classification framework using UTADIS.
Proceedings of the 11th International Conference on Intelligent Systems: Theories and Applications, 2016

Machine learning techniques for short term stock movements classification for Moroccan stock exchange.
Proceedings of the 11th International Conference on Intelligent Systems: Theories and Applications, 2016

A classification based framework for credit risk assessment in the Moroccan financial market.
Proceedings of the 11th International Conference on Intelligent Systems: Theories and Applications, 2016

A model for classification of outsourcing related organizational risks in a pharmaceutical supply chain.
Proceedings of the 11th International Conference on Intelligent Systems: Theories and Applications, 2016

An experimental approach for dimensioning healthcare supply chains.
Proceedings of the 11th International Conference on Intelligent Systems: Theories and Applications, 2016

Toward consumption characterization in a pharmaceutical products supply chain.
Proceedings of the 3rd International Conference on Logistics Operations Management, 2016

A Kanban based system for multi-echelon inventory management: The case of pharmaceutical supply chain.
Proceedings of the 3rd International Conference on Logistics Operations Management, 2016

A decision aid process for strategic insourcing/outsourcing in a supply chain.
Proceedings of the 3rd International Conference on Logistics Operations Management, 2016

Multi-criteria decision aid model for transportation supplier selection: Case of a pharmaceutical supply chain.
Proceedings of the 3rd International Conference on Logistics Operations Management, 2016

A framework for designing a transportation strategy: The case of a pharmaceuticals supply chain.
Proceedings of the 3rd International Conference on Logistics Operations Management, 2016

A framework for identification and classification of outsourcing related organizational risks in a pharmaceutical supply chain.
Proceedings of the 3rd International Conference on Logistics Operations Management, 2016

A two stage DEA approach for evaluating the performance of public pharmaceutical products supply chains.
Proceedings of the 3rd International Conference on Logistics Operations Management, 2016

Class-association rules pruning using regularization.
Proceedings of the 13th IEEE/ACS International Conference of Computer Systems and Applications, 2016

2015
Survey on supply chain ICT requirments.
Proceedings of the 10th International Conference on Intelligent Systems: Theories and Applications, 2015

A new methodology for literature review analysis using association rules mining.
Proceedings of the 10th International Conference on Intelligent Systems: Theories and Applications, 2015

Multi-criteria distribution network selection.
Proceedings of the 10th International Conference on Intelligent Systems: Theories and Applications, 2015

Selection of Key Performance Indicators for Supply Chain monitoring using MCDA.
Proceedings of the 10th International Conference on Intelligent Systems: Theories and Applications, 2015

Towards an interpretable Rules Ensemble algorithm for classification in a categorical data space.
Proceedings of the 10th International Conference on Intelligent Systems: Theories and Applications, 2015

Towards a new framework for clustering in a mixed data space: Case of gasoline service stations segmentation in Morocco.
Proceedings of the 12th IEEE/ACS International Conference of Computer Systems and Applications, 2015

2009
Supervised multivariate discretization in mixed data with Random Forests.
Proceedings of the 7th IEEE/ACS International Conference on Computer Systems and Applications, 2009

2007
Using metarules to organize and group discovered association rules.
Data Min. Knowl. Discov., 2007


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