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Ali Idri
Also published under:A. Idri
Affiliation
Faculty of Medical Sciences, Mohammed VI Polytechnic University, Benguerir, Morocco
Topic
Support Vector Machine,Machine Learning Models,Breast Cancer,K-nearest Neighbor,Multilayer Perceptron,Performance Metrics,Artificial Neural Network,Black Box,Bug Reports,Classification Performance,Decision Tree,Feature Selection Techniques,Generative Adversarial Networks,Hybrid Architecture,Internal Validity,Intrusion Detection,Intrusion Detection System,LightGBM,Machine Learning Classifiers,Machine Learning Techniques,Model Performance,Open Source Software Projects,Open-source Software,RapidMiner,Support Vector Machine Technique,Synthetic Minority Oversampling Technique,kNN Classifier,5-fold Cross-validation,ACM Digital Library,Accuracy Criterion,Advanced Machine Learning,Aggregation Method,Applicability Domain,Automatic Search,Average Accuracy,Average Accuracy Values,Bag-of-words,Balanced Data,Base Learners,Binary Classification,Biodiversity,Bird Species,Breast Cancer Dataset,Breast Cancer Diagnosis,Breast Density,Breast Imaging,Breast Tissue,Breast Tumors,Central Server,Class Of Attacks,
Biography
Ali Idri received the DEA (Master) and Doctorate of 3rd Cycle degrees in computer science from the University Mohammed V of Rabat, Rabat, Morocco, in 1994 and 1997, respectively, and the Ph.D. degree in cognitive computer sciences from the University of Quebec, Montreal, QC, Canada, in 2003.
He is currently a Professor with the Computer Science and Systems Analysis School (ENSIAS), University Mohammed V of Rabat. He has published more than 90 papers in several international journals and conferences. His research interests include software effort/cost estimation, software metrics, software quality, computational intelligence in software engineering, data mining, and e-health.
He is currently a Professor with the Computer Science and Systems Analysis School (ENSIAS), University Mohammed V of Rabat. He has published more than 90 papers in several international journals and conferences. His research interests include software effort/cost estimation, software metrics, software quality, computational intelligence in software engineering, data mining, and e-health.