Ali Bou Nassif
Orcid: 0000-0003-1570-0897
According to our database1,
Ali Bou Nassif
authored at least 118 papers
between 2010 and 2024.
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Bibliography
2024
Comparative study of ML models for IIoT intrusion detection: impact of data preprocessing and balancing.
Neural Comput. Appl., May, 2024
Software Defect Prediction Using Non-Dominated Sorting Genetic Algorithm and k-Nearest Neighbour Classifier.
e Informatica Softw. Eng. J., 2024
2023
Metaheuristic Algorithms in Optimal Power Flow Analysis: A Qualitative Systematic Review.
Int. J. Artif. Intell. Tools, November, 2023
Speaker identification from emotional and noisy speech using learned voice segregation and speech VGG.
Expert Syst. Appl., August, 2023
Novel Task-Based Unification and Adaptation (TUA) Transfer Learning Approach for Bilingual Emotional Speech Data.
Inf., April, 2023
Examining the performance of kernel methods for software defect prediction based on support vector machine.
Sci. Comput. Program., March, 2023
Proceedings of the 2023 6th International Conference on Computational Intelligence and Intelligent Systems, 2023
Proceedings of the 2023 6th International Conference on Computational Intelligence and Intelligent Systems, 2023
2022
Empirical Evaluation of Shallow and Deep Learning Classifiers for Arabic Sentiment Analysis.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022
Sci. Comput. Program., 2022
Neural Comput. Appl., 2022
Multim. Tools Appl., 2022
Empirical Comparison between Deep and Classical Classifiers for Speaker Verification in Emotional Talking Environments.
Inf., 2022
Novel dual-channel long short-term memory compressed capsule networks for emotion recognition.
Expert Syst. Appl., 2022
Expert Syst. Appl., 2022
CoRR, 2022
Transformation Invariant Cancerous Tissue Classification Using Spatially Transformed DenseNet.
CoRR, 2022
Artificial Intelligence and Statistical Techniques in Short-Term Load Forecasting: A Review.
CoRR, 2022
Breast cancer detection using artificial intelligence techniques: A systematic literature review.
Artif. Intell. Medicine, 2022
Hybrid Feature Selection Based on Principal Component Analysis and Grey Wolf Optimizer Algorithm for Arabic News Article Classification.
IEEE Access, 2022
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
A Comprehensive Study on Machine Learning in Breast Cancer Detection and Classification.
Proceedings of the 2022 The 6th International Conference on Advances in Artificial Intelligence, 2022
2021
IEEE Trans. Netw. Serv. Manag., 2021
Empirical analysis on productivity prediction and locality for use case points method.
Softw. Qual. J., 2021
Wearable Devices, Smartphones, and Interpretable Artificial Intelligence in Combating COVID-19.
Sensors, 2021
Sci. Comput. Program., 2021
Novel hybrid DNN approaches for speaker verification in emotional and stressful talking environments.
Neural Comput. Appl., 2021
Multim. Tools Appl., 2021
Speaker identification in stressful talking environments based on convolutional neural network.
Int. J. Speech Technol., 2021
The empirical study of e-learning post-acceptance after the spread of COVID-19: A multi-analytical approach based hybrid SEM-ANN.
CoRR, 2021
CASA-based speaker identification using cascaded GMM-CNN classifier in noisy and emotional talking conditions.
Appl. Soft Comput., 2021
Deep learning for Arabic subjective sentiment analysis: Challenges and research opportunities.
Appl. Soft Comput., 2021
Machine learning towards intelligent systems: applications, challenges, and opportunities.
Artif. Intell. Rev., 2021
IEEE Access, 2021
AI-based Models for Resource Allocation and Resource Demand Forecasting Systems in Aviation: A Survey and Analytical Study.
Proceedings of the IEEE International Conference on Internet of Things and Intelligence Systems, 2021
Proceedings of the 14th IEEE/ACM International Workshop on Cooperative and Human Aspects of Software Engineering, 2021
Proceedings of the 14th International Conference on Developments in eSystems Engineering, 2021
The exploitation of Multiple Feature Extraction Techniques for Speaker Identification in Emotional States under Disguised Voices.
Proceedings of the 14th International Conference on Developments in eSystems Engineering, 2021
Deep Learning Models to Detect Online False Information: A Systematic Literature Review.
Proceedings of the ArabWIC 2021: The 7th Annual International Conference on Arab Women in Computing in Conjunction with the 2nd Forum of Women in Research, 2021
Deep Learning Techniques to Detect DoS Attacks on Industrial Control Systems: A Systematic Literature Review.
Proceedings of the ArabWIC 2021: The 7th Annual International Conference on Arab Women in Computing in Conjunction with the 2nd Forum of Women in Research, 2021
Proceedings of the Advanced Machine Learning Technologies and Applications, 2021
Proceedings of the 18th International Multi-Conference on Systems, Signals & Devices, 2021
2020
Novel cascaded Gaussian mixture model-deep neural network classifier for speaker identification in emotional talking environments.
Neural Comput. Appl., 2020
Knowl. Based Syst., 2020
Transformed <i>k</i>-nearest neighborhood output distance minimization for predicting the defect density of software projects.
J. Syst. Softw., 2020
Arabic audio clips: Identification and discrimination of authentic Cantillations from imitations.
Neurocomputing, 2020
Data Mining with Big Data in Intrusion Detection Systems: A Systematic Literature Review.
CoRR, 2020
Multi-split optimized bagging ensemble model selection for multi-class educational data mining.
Appl. Intell., 2020
A Systematic Literature Review for Software Portability Measurement: Preliminary Results.
Proceedings of the 9th International Conference on Software and Computer Applications, 2020
Software Effort Estimation from Use Case Diagrams Using Nonlinear Regression Analysis.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2020
Proceedings of the International Conference on Communications, 2020
Systematic Literature Review: Metaheuristics-based Approach for Workflow Scheduling in Cloud.
Proceedings of the International Conference on Communications, 2020
Proceedings of the International Conference on Communications, 2020
Proceedings of the International Conference on Communications, 2020
2019
Speaker Verification in Emotional Talking Environments based on Third-Order Circular Suprasegmental Hidden Markov Model.
CoRR, 2019
CoRR, 2019
Dimensionality reduction with IG-PCA and ensemble classifier for network intrusion detection.
Comput. Networks, 2019
Comput. Intell. Neurosci., 2019
IEEE Access, 2019
IEEE Access, 2019
Proceedings of the Software Technology: Methods and Tools - 51st International Conference, 2019
Identifying Patterns of Breast Cancer Genetic Signatures using Unsupervised Machine Learning.
Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019
Clustering Enabled Classification using Ensemble Feature Selection for Intrusion Detection.
Proceedings of the International Conference on Computing, Networking and Communications, 2019
Comparative Study on the Performance of Heuristic Optimization Techniques in Robotic Path Planning.
Proceedings of the 3rd International Conference on Advances in Artificial Intelligence, 2019
2018
Soft Comput., 2018
J. Softw. Evol. Process., 2018
Emirati-accented speaker identification in each of neutral and shouted talking environments.
Int. J. Speech Technol., 2018
Int. J. Speech Technol., 2018
Comparative analysis of soft computing techniques for predicting software effort based use case points.
IET Softw., 2018
Data Mining Techniques in Intrusion Detection Systems: A Systematic Literature Review.
IEEE Access, 2018
E-Learning: Challenges and Research Opportunities Using Machine Learning & Data Analytics.
IEEE Access, 2018
Upsilon-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
Ensemble of Learning Project Productivity in Software Effort Based on Use Case Points.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
Proceedings of the IEEE Global Communications Conference, 2018
2017
Analyzing the relationship between project productivity and environment factors in the use case points method.
J. Softw. Evol. Process., 2017
A training process for improving the quality of software projects developed by a practitioner.
J. Syst. Softw., 2017
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017
2016
Neural network models for software development effort estimation: a comparative study.
Neural Comput. Appl., 2016
Neural Comput. Appl., 2016
Pareto efficient multi-objective optimization for local tuning of analogy-based estimation.
Neural Comput. Appl., 2016
CoRR, 2016
Appl. Soft Comput., 2016
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016
2015
An empirical evaluation of ensemble adjustment methods for analogy-based effort estimation.
J. Syst. Softw., 2015
Analogy-based effort estimation: a new method to discover set of analogies from dataset characteristics.
IET Softw., 2015
In Need of a Domain-Specific Language Modeling Notation for Smartphone Applications with Portable Capability.
Proceedings of the Mobile Web and Intelligent Information Systems, 2015
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
An Application of Classification and Class Decomposition to Use Case Point Estimation Method.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
2014
Analyzing the Non-Functional Requirements in the Desharnais Dataset for Software Effort Estimation.
CoRR, 2014
Proceedings of the 36th International Conference on Software Engineering, 2014
A Better Case Adaptation Method for Case-Based Effort Estimation Using Multi-objective Optimization.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014
2013
Towards an early software estimation using log-linear regression and a multilayer perceptron model.
J. Syst. Softw., 2013
Proceedings of the Seventh International Conference on Software Security and Reliability, 2013
Proceedings of the IEEE 19th Pacific Rim International Symposium on Dependable Computing, 2013
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013
A comparison between decision trees and decision tree forest models for software development effort estimation.
Proceedings of the Third International Conference on Communications and Information Technology, 2013
Business intelligence solutions in healthcare a case study: Transforming OLTP system to BI solution.
Proceedings of the Third International Conference on Communications and Information Technology, 2013
2012
Software Effort Estimation in the Early Stages of the Software Life Cycle Using a Cascade Correlation Neural Network Model.
Proceedings of the 13th ACIS International Conference on Software Engineering, 2012
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
2011
Estimating Software Effort Based on Use Case Point Model Using Sugeno Fuzzy Inference System.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011
Measuring the Usage of SaaS Applications based on Utilized Features.
Proceedings of the CLOSER 2011, 2011
2010
Proceedings of the 6th World Congress on Services, 2010