Ali Bou Nassif

Orcid: 0000-0003-1570-0897

According to our database1, Ali Bou Nassif authored at least 127 papers between 2010 and 2024.

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

Timeline

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Bibliography

2024
A tree-based explainable AI model for early detection of Covid-19 using physiological data.
BMC Medical Informatics Decis. Mak., December, 2024

Emotional speaker identification using PCAFCM-deepforest with fuzzy logic.
Neural Comput. Appl., October, 2024

Parameter-efficient fine-tuning of pre-trained code models for just-in-time defect prediction.
Neural Comput. Appl., September, 2024

Enhancing intrusion detection in IIoT: optimized CNN model with multi-class SMOTE balancing.
Neural Comput. Appl., August, 2024

Software effort estimation using convolutional neural network and fuzzy clustering.
Neural Comput. Appl., August, 2024

Correction: Comparative study of ML models for IIoT intrusion detection: impact of data preprocessing and balancing.
Neural Comput. Appl., July, 2024

Comparative study of ML models for IIoT intrusion detection: impact of data preprocessing and balancing.
Neural Comput. Appl., May, 2024

Detection of Arabic offensive language in social media using machine learning models.
Intell. Syst. Appl., 2024

Effect of feature optimization on performance of machine learning models for predicting traffic incident duration.
Eng. Appl. Artif. Intell., 2024

Software Defect Prediction Using Non-Dominated Sorting Genetic Algorithm and k-Nearest Neighbour Classifier.
e Informatica Softw. Eng. J., 2024

Aircraft-Type Classification Using Deep Learning Algorithms.
Proceedings of the 12th IEEE International Conference on Intelligent Systems, 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

Arabic Mispronunciation Recognition System Using LSTM Network.
Inf., 2023

Optimization Algorithms in Smart Grids: A Systematic Literature Review.
CoRR, 2023

Metaheuristic Approach for Solving the Traveling Salesman Problem with Drone.
Proceedings of the 2023 6th International Conference on Computational Intelligence and Intelligent Systems, 2023

Image Scenario classification using Machine learning.
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

Improved Optical Flow Estimation Method for Deepfake Videos.
Sensors, 2022

On the value of project productivity for early effort estimation.
Sci. Comput. Program., 2022

Arabic fake news detection based on deep contextualized embedding models.
Neural Comput. Appl., 2022

64-bit quantization: taking payload capacity of speech steganography to the limits.
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

Emotional speaker identification using a novel capsule nets model.
Expert Syst. Appl., 2022

What UAE Software Students Think about Software Testing: A Replicated Study.
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

APT beaconing detection: A systematic review.
Comput. Secur., 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

On Selection of Optimal Kernel Function for Software Defect Prediction.
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
Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection.
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

Predicting software effort from use case points: A systematic review.
Sci. Comput. Program., 2021

Novel hybrid DNN approaches for speaker verification in emotional and stressful talking environments.
Neural Comput. Appl., 2021

Maximizing embedding capacity for speech steganography: a segment-growing approach.
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

Reliability Models for Smartphone Applications.
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

Machine Learning for Cloud Security: A Systematic Review.
IEEE Access, 2021

Machine Learning for Anomaly Detection: A Systematic Review.
IEEE Access, 2021

Systematic Literature Review of Dialectal Arabic: Identification and Detection.
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

Perceptions about Software Testing among UAE Software Students.
Proceedings of the 14th IEEE/ACM International Workshop on Cooperative and Human Aspects of Software Engineering, 2021

COVID-19 Electrocardiograms Classification using CNN Models.
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

Sentiment Analysis in Dialectal Arabic: A Systematic Review.
Proceedings of the Advanced Machine Learning Technologies and Applications, 2021

Speaker Identification for Disguised Voices Based on Modified SVM Classifier.
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

Systematic ensemble model selection approach for educational data mining.
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

EEG Wheelchair for People of Determination.
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

Cascaded RBF-CBiLSTM for Arabic Named Entity Recognition.
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

Predicting the power of a combined cycle power plant using machine learning methods.
Proceedings of the International Conference on Communications, 2020

Heart Arrhythmia Abnormality Classification Using Machine Learning.
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

Emirati-Accented Speaker Identification in Stressful Talking Conditions.
CoRR, 2019

v-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects.
CoRR, 2019

Dimensionality reduction with IG-PCA and ensemble classifier for network intrusion detection.
Comput. Networks, 2019

Software Development Effort Estimation Using Regression Fuzzy Models.
Comput. Intell. Neurosci., 2019

Emotion Recognition Using Hybrid Gaussian Mixture Model and Deep Neural Network.
IEEE Access, 2019

Speech Recognition Using Deep Neural Networks: A Systematic Review.
IEEE Access, 2019

Can We Rely on Smartphone Applications?
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
On the value of parameter tuning in heterogeneous ensembles effort estimation.
Soft Comput., 2018

Project productivity evaluation in early software effort estimation.
J. Softw. Evol. Process., 2018

Performance Analysis of Hyperledger Fabric Platforms.
Secur. Commun. Networks, 2018

Emirati-accented speaker identification in each of neutral and shouted talking environments.
Int. J. Speech Technol., 2018

Three-stage speaker verification architecture in emotional talking environments.
Int. J. Speech Technol., 2018

Comparative analysis of soft computing techniques for predicting software effort based use case points.
IET Softw., 2018

Machine Learning Classifications of Coronary Artery Disease.
CoRR, 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

Bayesian Optimization with Machine Learning Algorithms Towards Anomaly Detection.
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

Robust Rank Aggregation method for Case-Base effort estimation.
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

Guest editorial: special issue on predictive analytics using machine learning.
Neural Comput. Appl., 2016

Pareto efficient multi-objective optimization for local tuning of analogy-based estimation.
Neural Comput. Appl., 2016

Data mining techniques in social media: A survey.
Neurocomputing, 2016

Enhancing Use Case Points Estimation Method Using Soft Computing Techniques.
CoRR, 2016

Special Issue: Soft computing in software engineering.
Appl. Soft Comput., 2016

A hybrid model for estimating software project effort from Use Case Points.
Appl. Soft Comput., 2016

User Movement Prediction: The Contribution of Machine Learning Techniques.
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

Class Decomposition Using K-Means and Hierarchical Clustering.
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

Calibrating use case points.
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

A Hybrid Intelligent Model for Software Cost estimation.
J. Comput. Sci., 2013

Reliability Models Applied to Mobile Applications.
Proceedings of the Seventh International Conference on Software Security and Reliability, 2013

Reliability Prediction of Smartphone Applications through Failure Data Analysis.
Proceedings of the IEEE 19th Pacific Rim International Symposium on Dependable Computing, 2013

Fuzzy Model Tree for Early Effort Estimation.
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

A Treeboost Model for Software Effort Estimation Based on Use Case Points.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Estimating Software Effort Using an ANN Model Based on Use Case Points.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Fuzzy-ExCOM Software Project Risk Assessment.
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
Moving from SaaS Applications towards SOA Services.
Proceedings of the 6th World Congress on Services, 2010


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