Mostafa A. Salama

Orcid: 0000-0003-2559-8056

According to our database1, Mostafa A. Salama authored at least 31 papers between 2010 and 2022.

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

Timeline

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Bibliography

2022
Mind Waves Time Series Analysis of Students' Focusing and Relaxing Sessions.
Proceedings of the Learning in the Age of Digital and Green Transition, 2022

2020
Comparative Analysis for Boosting Classifiers in the Context of Higher Education.
Int. J. Emerg. Technol. Learn., 2020

2019
A Novel Feature Selection Measure Partnership-Gain.
Int. J. Online Biomed. Eng., 2019

Multi-Dimensional Analysis to Predict Students' Grades in Higher Education.
Int. J. Emerg. Technol. Learn., 2019

A layered-analysis of the features in higher education data set.
Proceedings of the 2019 8th International Conference on Software and Information Engineering, 2019

Multi-Objective Optimization for Automated Business Process Discovery.
Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019

2018
Positive and Negative Feature-Feature Correlation Measure: AddGain.
Proceedings of the 7th International Conference on Software and Information Engineering, 2018

Pedagogical and Elearning Logs Analyses to Enhance Students' Performance.
Proceedings of the 7th International Conference on Software and Information Engineering, 2018

2017
Integrated Education Management System via Cloud Computing.
Int. J. Interact. Mob. Technol., 2017

2016
The prediction of virus mutation using neural networks and rough set techniques.
EURASIP J. Bioinform. Syst. Biol., 2016

An ensemble model for Heart disease data sets: a generalized model.
Proceedings of the 10th International Conference on Informatics and Systems, 2016

2015
Rough local transfer function for cardiac disorders detection using heart sounds.
Log. J. IGPL, 2015

2014
Fuzzification of Euclidean Space Approach in Machine Learning Techniques.
Int. J. Serv. Sci. Manag. Eng. Technol., 2014

2013
Rough Set-Based Identification of Heart Valve Diseases Using Heart Sounds.
Proceedings of the Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, 2013

Employment of neural network and rough set in meta-learning.
Memetic Comput., 2013

A Feature Selection Approach for Network Intrusion Classification: The Bi-Layer Behavioral-Based.
Int. J. Comput. Vis. Image Process., 2013

Mutagenicity Analysis Based on Rough Set Theory and Formal Concept Analysis.
Proceedings of the Recent Advances in Intelligent Informatics, 2013

Formal concept analysis approach for comparison between Mutagenicity and Carcinogenicity in Cheminformatics.
Proceedings of the 13th International Conference on Hybrid Intelligent Systems, 2013

Genetic Algorithms with Different Feature Selection Techniques for Anomaly Detectors Generation.
Proceedings of the 2013 Federated Conference on Computer Science and Information Systems, 2013

2012
Artificial Immune System Inspired Intrusion Detection System Using Genetic Algorithm.
Informatica (Slovenia), 2012

Rough Sets-Based Identification of Heart Valve Diseases Using Heart Sounds.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

Detectors Generation using Genetic Algorithm for a Negative Selection Inspired Anomaly Network Intrusion Detection System.
Proceedings of the Federated Conference on Computer Science and Information Systems, 2012

Rough Sets-Based Rules Generation Approach: A Hepatitis C Virus Data Sets.
Proceedings of the Advanced Machine Learning Technologies and Applications, 2012

2011
Feature evaluation based Fuzzy C-Mean classification.
Proceedings of the FUZZ-IEEE 2011, 2011

Heart Sound Feature Reduction Approach for Improving the Heart Valve Diseases Identification.
Proceedings of the Signal Processing, Image Processing and Pattern Recognition, 2011

Bi-Layer Behavioral-Based Feature Selection Approach for Network Intrusion Classification.
Proceedings of the Security Technology, 2011

Interval based attribute evaluation algorithm.
Proceedings of the Federated Conference on Computer Science and Information Systems, 2011

2010
Pattern-based subspace classification model.
Proceedings of the Second World Congress on Nature & Biologically Inspired Computing, 2010

Deep Belief Network for clustering and classification of a continuous data.
Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2010

Uni-class pattern-based classification model.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

Reducing the influence of normalization on data classification.
Proceedings of the 2010 International Conference on Computer Information Systems and Industrial Management Applications, 2010


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