Moving from SaaS Applications towards SOA Services. - Ali Bou Nassif; Miriam A. M. Capretz (SERVICES, 2010)

Measuring the Usage of SaaS Applications based on Utilized Features. - Ali Bou Nassif; Hanan Lutfiyya (CLOSER, 2011)

Estimating Software Effort Based on Use Case Point Model Using Sugeno Fuzzy Inference System. - Ali Bou Nassif; Luiz Fernando Capretz; Danny Ho (ICTAI, 2011)

Fuzzy-ExCOM Software Project Risk Assessment. - Ekananta Manalif; Luiz Fernando Capretz; Ali Bou Nassif; Danny Ho (ICMLA (2), 2012)

Estimating Software Effort Using an ANN Model Based on Use Case Points. - Ali Bou Nassif; Luiz Fernando Capretz; Danny Ho (ICMLA (2), 2012)

A Treeboost Model for Software Effort Estimation Based on Use Case Points. - Ali Bou Nassif; Luiz Fernando Capretz; Danny Ho; Mohammad Azzeh (ICMLA (2), 2012)

Software Effort Estimation in the Early Stages of the Software Life Cycle Using a Cascade Correlation Neural Network Model. - Ali Bou Nassif; Luiz Fernando Capretz; Danny Ho (SNPD, 2012)

Business intelligence solutions in healthcare a case study: Transforming OLTP system to BI solution. - Osama T. Ali; Ali Bou Nassif; Luiz Fernando Capretz (ICCIT, 2013)

A comparison between decision trees and decision tree forest models for software development effort estimation. - Ali Bou Nassif; Mohammad Azzeh; Luiz Fernando Capretz; Danny Ho (ICCIT, 2013)

Fuzzy Model Tree for Early Effort Estimation. - Mohammad Azzeh; Ali Bou Nassif (ICMLA (2), 2013)

Reliability Prediction of Smartphone Applications through Failure Data Analysis. - Sonia Meskini; Ali Bou Nassif; Luiz Fernando Capretz (PRDC, 2013)

Reliability Models Applied to Mobile Applications. - Sonia Meskini; Ali Bou Nassif; Luiz Fernando Capretz (SERE (Companion), 2013)

A Hybrid Intelligent Model for Software Cost estimation. - Wei Lin Du; Luiz Fernando Capretz; Ali Bou Nassif; Danny Ho (J. Comput. Sci., 2013)

Towards an early software estimation using log-linear regression and a multilayer perceptron model. - Ali Bou Nassif; Danny Ho; Luiz Fernando Capretz (J. Syst. Softw., 2013)

A Better Case Adaptation Method for Case-Based Effort Estimation Using Multi-objective Optimization. - Ali Bou Nassif; Shadi Banitaan (ICMLA, 2014)

Calibrating use case points. - Ali Bou Nassif; Luiz Fernando Capretz; Danny Ho (ICSE Companion, 2014)

Analyzing the Non-Functional Requirements in the Desharnais Dataset for Software Effort Estimation. - Ali Bou Nassif; Luiz Fernando Capretz; Danny Ho (CoRR, 2014)

An Application of Classification and Class Decomposition to Use Case Point Estimation Method. - Mohammad Azzeh; Ali Bou Nassif; Shadi Banitaan (ICMLA, 2015)

Class Decomposition Using K-Means and Hierarchical Clustering. - Shadi Banitaan; Ali Bou Nassif; Mohammad Azzeh (ICMLA, 2015)

In Need of a Domain-Specific Language Modeling Notation for Smartphone Applications with Portable Capability. - Hamza Ghandorh; Luiz Fernando Capretz; Ali Bou Nassif (MobiWIS, 2015)

Analogy-based effort estimation: a new method to discover set of analogies from dataset characteristics. - Mohammad Azzeh; Ali Bou Nassif (IET Softw., 2015)

An empirical evaluation of ensemble adjustment methods for analogy-based effort estimation. - Mohammad Azzeh; Ali Bou Nassif; Leandro L. Minku (J. Syst. Softw., 2015)

User Movement Prediction: The Contribution of Machine Learning Techniques. - Shadi Banitaan; Mohammad Azzeh; Ali Bou Nassif (ICMLA, 2016)

A hybrid model for estimating software project effort from Use Case Points. - Mohammad Azzeh; Ali Bou Nassif (Appl. Soft Comput., 2016)

Special Issue: Soft computing in software engineering. - Cagatay Catal; Coskun Bayrak; Ali Bou Nassif; Kemal Polat; Akhan Akbulut (Appl. Soft Comput., 2016)

Enhancing Use Case Points Estimation Method Using Soft Computing Techniques. - Ali Bou Nassif; Luiz Fernando Capretz; Danny Ho (CoRR, 2016)

Data mining techniques in social media: A survey. - MohammadNoor Injadat; Fadi Salo; Ali Bou Nassif (Neurocomputing, 2016)

Pareto efficient multi-objective optimization for local tuning of analogy-based estimation. - Mohammad Azzeh; Ali Bou Nassif; Shadi Banitaan; Fadi Almasalha (Neural Comput. Appl., 2016)

Guest editorial: special issue on predictive analytics using machine learning. - Ali Bou Nassif; Mohammad Azzeh; Shadi Banitaan; Daniel Neagu (Neural Comput. Appl., 2016)

Neural network models for software development effort estimation: a comparative study. - Ali Bou Nassif; Mohammad Azzeh; Luiz Fernando Capretz; Danny Ho (Neural Comput. Appl., 2016)

Robust Rank Aggregation method for Case-Base effort estimation. - Ali Bou Nassif; Mohammad Azzeh; Shadi Banitaan (CCECE, 2017)

A training process for improving the quality of software projects developed by a practitioner. - Cuauhtémoc López Martín; Ali Bou Nassif; Alain Abran (J. Syst. Softw., 2017)

Analyzing the relationship between project productivity and environment factors in the use case points method. - Mohammad Azzeh; Ali Bou Nassif (J. Softw. Evol. Process., 2017)

Bayesian Optimization with Machine Learning Algorithms Towards Anomaly Detection. - MohammadNoor Injadat; Fadi Salo; Ali Bou Nassif; Aleksander Essex; Abdallah Shami (GLOBECOM, 2018)

Ensemble of Learning Project Productivity in Software Effort Based on Use Case Points. - Mohammad Azzeh; Ali Bou Nassif; Shadi Banitaan; Cuauhtémoc López Martín (ICMLA, 2018)

Upsilon-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects. - Cuauhtémoc López Martín; Mohammad Azzeh; Ali Bou Nassif; Shadi Banitaan (ICMLA, 2018)

E-Learning: Challenges and Research Opportunities Using Machine Learning & Data Analytics. - Abdallah Moubayed; MohammadNoor Injadat; Ali Bou Nassif; Hanan Lutfiyya; Abdallah Shami (IEEE Access, 2018)

Data Mining Techniques in Intrusion Detection Systems: A Systematic Literature Review. - Fadi Salo; MohammadNoor Injadat; Ali Bou Nassif; Abdallah Shami; Aleksander Essex (IEEE Access, 2018)

Machine Learning Classifications of Coronary Artery Disease. - Ali Bou Nassif; Omar Mahdi; Qassim Nasir; Manar AbuTalib; Mohammad Azzeh (CoRR, 2018)

Comparative analysis of soft computing techniques for predicting software effort based use case points. - Mohammad Azzeh; Ali Bou Nassif; Shadi Banitaan (IET Softw., 2018)

Three-stage speaker verification architecture in emotional talking environments. - Ismail Shahin; Ali Bou Nassif (Int. J. Speech Technol., 2018)

Emirati-accented speaker identification in each of neutral and shouted talking environments. - Ismail Shahin; Ali Bou Nassif; Mohammed N. Ba-Hutair (Int. J. Speech Technol., 2018)

Performance Analysis of Hyperledger Fabric Platforms. - Qassim Nasir; Ilham A. Qasse; Manar AbuTalib; Ali Bou Nassif (Secur. Commun. Networks, 2018)

Project productivity evaluation in early software effort estimation. - Mohammad Azzeh; Ali Bou Nassif (J. Softw. Evol. Process., 2018)

On the value of parameter tuning in heterogeneous ensembles effort estimation. - Mohamed Hosni; Ali Idri; Alain Abran; Ali Bou Nassif (Soft Comput., 2018)

Comparative Study on the Performance of Heuristic Optimization Techniques in Robotic Path Planning. - Mohammed Baziyad; Ali Bou Nassif; Tamer Rabie; Raouf Fareh (ICAAI, 2019)

Clustering Enabled Classification using Ensemble Feature Selection for Intrusion Detection. - Fadi Salo; MohammadNoor Injadat; Abdallah Moubayed; Ali Bou Nassif; Aleksander Essex (ICNC, 2019)

Identifying Patterns of Breast Cancer Genetic Signatures using Unsupervised Machine Learning. - Rifat A. Hamoudi; Meriem Bettayeb; Areej Alsaafin; Mahmood Hachim; Qassim Nasir; Ali Bou Nassif (IST, 2019)

Can We Rely on Smartphone Applications? - Sonia Meskini; Ali Bou Nassif; Luiz Fernando Capretz (TOOLS, 2019)

Speech Recognition Using Deep Neural Networks: A Systematic Review. - Ali Bou Nassif; Ismail Shahin; Imtinan Basem Attili; Mohammad Azzeh; Khaled Shaalan (IEEE Access, 2019)

Emotion Recognition Using Hybrid Gaussian Mixture Model and Deep Neural Network. - Ismail Shahin; Ali Bou Nassif; Shibani Hamsa (IEEE Access, 2019)

Software Development Effort Estimation Using Regression Fuzzy Models. - Ali Bou Nassif; Mohammad Azzeh; Ali Idri; Alain Abran (Comput. Intell. Neurosci., 2019)

Dimensionality reduction with IG-PCA and ensemble classifier for network intrusion detection. - Fadi Salo; Ali Bou Nassif; Aleksander Essex (Comput. Networks, 2019)

v-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects. - Cuauhtémoc López Martín; Mohammad Azzeh; Ali Bou Nassif; Shadi Banitaan (CoRR, 2019)

Emirati-Accented Speaker Identification in Stressful Talking Conditions. - Ismail Shahin; Ali Bou Nassif (CoRR, 2019)

Speaker Verification in Emotional Talking Environments based on Third-Order Circular Suprasegmental Hidden Markov Model. - Ismail Shahin; Ali Bou Nassif (CoRR, 2019)

Heart Arrhythmia Abnormality Classification Using Machine Learning. - Yaman Afadar; Ali Bou Nassif; Maha Alaa Eddin; Manar AbuTalib; Qassim Nasir (CCCI, 2020)

Predicting the power of a combined cycle power plant using machine learning methods. - Salama Alketbi; Ali Bou Nassif; Maha Alaa Eddin; Ismail Shahin; Ashraf Elnagar (CCCI, 2020)

Systematic Literature Review: Metaheuristics-based Approach for Workflow Scheduling in Cloud. - Dina Jamal Hejji; Ali Bou Nassif; Qassim Nasir; Manar AbuTalib (CCCI, 2020)

Cascaded RBF-CBiLSTM for Arabic Named Entity Recognition. - Aya Mousa; Ismail Shahin; Ali Bou Nassif; Ashraf Elnagar (CCCI, 2020)

Software Effort Estimation from Use Case Diagrams Using Nonlinear Regression Analysis. - Ali Bou Nassif; Manar AbuTalib; Luiz Fernando Capretz (CCECE, 2020)

A Systematic Literature Review for Software Portability Measurement: Preliminary Results. - Hamza Ghandorh; Abdulfattah Noorwali; Ali Bou Nassif; Luiz Fernando Capretz; Roy Eagleson (ICSCA, 2020)

Multi-split optimized bagging ensemble model selection for multi-class educational data mining. - MohammadNoor Injadat; Abdallah Moubayed; Ali Bou Nassif; Abdallah Shami (Appl. Intell., 2020)

EEG Wheelchair for People of Determination. - Mariam AlAbboudi; Maitha Majed; Fatima Hassan; Ali Bou Nassif (CoRR, 2020)

Data Mining with Big Data in Intrusion Detection Systems: A Systematic Literature Review. - Fadi Salo; MohammadNoor Injadat; Ali Bou Nassif; Aleksander Essex (CoRR, 2020)

Arabic audio clips: Identification and discrimination of authentic Cantillations from imitations. - Mohammed Lataifeh; Ashraf Elnagar; Ismail Shahin; Ali Bou Nassif (Neurocomputing, 2020)

Transformed k-nearest neighborhood output distance minimization for predicting the defect density of software projects. - Cuauhtémoc López Martín; Yenny Villuendas-Rey; Mohammad Azzeh; Ali Bou Nassif; Shadi Banitaan (J. Syst. Softw., 2020)

Systematic ensemble model selection approach for educational data mining. - MohammadNoor Injadat; Abdallah Moubayed; Ali Bou Nassif; Abdallah Shami (Knowl. Based Syst., 2020)

Novel cascaded Gaussian mixture model-deep neural network classifier for speaker identification in emotional talking environments. - Ismail Shahin; Ali Bou Nassif; Shibani Hamsa (Neural Comput. Appl., 2020)

Speaker Identification for Disguised Voices Based on Modified SVM Classifier. - Noor Ahmad Al Hindawi; Ismail Shahin; Ali Bou Nassif (SSD, 2021)

Sentiment Analysis in Dialectal Arabic: A Systematic Review. - Ashraf Elnagar; Sane Yagi; Ali Bou Nassif; Ismail Shahin; Said A. Salloum (AMLTA, 2021)

Deep Learning Techniques to Detect DoS Attacks on Industrial Control Systems: A Systematic Literature Review. - Abdalkarim R. M. Seyam; Ali Bou Nassif; Qassim Nasir; Bushra Al Blooshi; Manar Abu Talib (ArabWIC, 2021)

Deep Learning Models to Detect Online False Information: A Systematic Literature Review. - Asmaa Seyam; Ali Bou Nassif; Manar Abu Talib; Qassim Nasir; Bushra Al Blooshi (ArabWIC, 2021)

The exploitation of Multiple Feature Extraction Techniques for Speaker Identification in Emotional States under Disguised Voices. - Noor Ahmad Al Hindawi; Ismail Shahin; Ali Bou Nassif (DeSE, 2021)

COVID-19 Electrocardiograms Classification using CNN Models. - Ismail Shahin; Ali Bou Nassif; Mohamed Bader Alsabek (DeSE, 2021)

Perceptions about Software Testing among UAE Software Students. - Luiz Fernando Capretz; Ali Bou Nassif; Saad Harous (CHASE@ICSE, 2021)

AI-based Models for Resource Allocation and Resource Demand Forecasting Systems in Aviation: A Survey and Analytical Study. - Dina J. Hejji; Manar Abu Talib; Ali Bou Nassif; Qassim Nasir; Ahmed Bouridane (IoTaIS, 2021)

Systematic Literature Review of Dialectal Arabic: Identification and Detection. - Ashraf Elnagar; Sane Yagi; Ali Bou Nassif; Ismail Shahin; Said A. Salloum (IEEE Access, 2021)

Machine Learning for Anomaly Detection: A Systematic Review. - Ali Bou Nassif; Manar Abu Talib; Qassim Nasir; Fatima Mohamad Dakalbab (IEEE Access, 2021)

Machine Learning for Cloud Security: A Systematic Review. - Ali Bou Nassif; Manar AbuTalib; Qassim Nasir; Halah Albadani; Fatima Mohamad Dakalbab (IEEE Access, 2021)

Machine learning towards intelligent systems: applications, challenges, and opportunities. - MohammadNoor Injadat; Abdallah Moubayed; Ali Bou Nassif; Abdallah Shami (Artif. Intell. Rev., 2021)

Deep learning for Arabic subjective sentiment analysis: Challenges and research opportunities. - Ali Bou Nassif; Ashraf Elnagar; Ismail Shahin; Safaa Henno (Appl. Soft Comput., 2021)

CASA-based speaker identification using cascaded GMM-CNN classifier in noisy and emotional talking conditions. - Ali Bou Nassif; Ismail Shahin; Shibani Hamsa; Nawel Nemmour; Keikichi Hirose (Appl. Soft Comput., 2021)

Reliability Models for Smartphone Applications. - Sonia Meskini; Ali Bou Nassif; Luiz Fernando Capretz (CoRR, 2021)

The empirical study of e-learning post-acceptance after the spread of COVID-19: A multi-analytical approach based hybrid SEM-ANN. - Ashraf Elnagar; Imad Afyouni; Ismail Shahin; Ali Bou Nassif; Said A. Salloum (CoRR, 2021)

Speaker identification in stressful talking environments based on convolutional neural network. - Ismail Shahin; Ali Bou Nassif; Noor Ahmad Al Hindawi (Int. J. Speech Technol., 2021)

Maximizing embedding capacity for speech steganography: a segment-growing approach. - Mohammed Baziyad; Ismail Shahin; Tamer Rabie; Ali Bou Nassif (Multim. Tools Appl., 2021)

Novel hybrid DNN approaches for speaker verification in emotional and stressful talking environments. - Ismail Shahin; Ali Bou Nassif; Nawel Nemmour; Ashraf Elnagar; Adi Alhudhaif; Kemal Polat (Neural Comput. Appl., 2021)

Predicting software effort from use case points: A systematic review. - Mohammad Azzeh; Ali Bou Nassif; Imtinan Basem Attili (Sci. Comput. Program., 2021)

Wearable Devices, Smartphones, and Interpretable Artificial Intelligence in Combating COVID-19. - Haytham Hijazi; Manar Abu Talib; Ahmad Hasasneh; Ali Bou Nassif; Nafisa Ahmed; Qassim Nasir (Sensors, 2021)

Empirical analysis on productivity prediction and locality for use case points method. - Mohammad Azzeh; Ali Bou Nassif; Cuauhtémoc López Martín (Softw. Qual. J., 2021)

Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection. - MohammadNoor Injadat; Abdallah Moubayed; Ali Bou Nassif; Abdallah Shami (IEEE Trans. Netw. Serv. Manag., 2021)

A Comprehensive Study on Machine Learning in Breast Cancer Detection and Classification. - Ali Bou Nassif; Aya AlChikh Omar (ICAAI, 2022)

On Selection of Optimal Kernel Function for Software Defect Prediction. - Mohammad Azzeh; Ali Bou Nassif; Shadi Banitaan (ICMLA, 2022)

Hybrid Feature Selection Based on Principal Component Analysis and Grey Wolf Optimizer Algorithm for Arabic News Article Classification. - Osama Ahmad Alomari; Ashraf Elnagar; Imad Afyouni; Ismail Shahin; Ali Bou Nassif; Ibrahim Abaker Targio Hashem; Mohammad Tubishat (IEEE Access, 2022)

Breast cancer detection using artificial intelligence techniques: A systematic literature review. - Ali Bou Nassif; Manar Abu Talib; Qassim Nasir; Yaman Afadar; Omar Elgendy (Artif. Intell. Medicine, 2022)

APT beaconing detection: A systematic review. - Manar Abu Talib; Qassim Nasir; Ali Bou Nassif; Takua Mokhamed; Nafisa Ahmed; Bayan Mahfood (Comput. Secur., 2022)

Artificial Intelligence and Statistical Techniques in Short-Term Load Forecasting: A Review. - Ali Bou Nassif; Bassel Soudan; Mohammad Azzeh; Imtinan Basem Attilli; Omar AlMulla (CoRR, 2022)

Transformation Invariant Cancerous Tissue Classification Using Spatially Transformed DenseNet. - Omar Mahdi; Ali Bou Nassif (CoRR, 2022)

What UAE Software Students Think about Software Testing: A Replicated Study. - Luiz Fernando Capretz; Saad Harous; Ali Bou Nassif (CoRR, 2022)

Emotional speaker identification using a novel capsule nets model. - Ali Bou Nassif; Ismail Shahin; Ashraf Elnagar; Divya Velayudhan; Adi Alhudhaif; Kemal Polat (Expert Syst. Appl., 2022)

Novel dual-channel long short-term memory compressed capsule networks for emotion recognition. - Ismail Shahin; Noor Ahmad Al Hindawi; Ali Bou Nassif; Adi Alhudhaif; Kemal Polat (Expert Syst. Appl., 2022)

Empirical Comparison between Deep and Classical Classifiers for Speaker Verification in Emotional Talking Environments. - Ali Bou Nassif; Ismail Shahin; Mohammed Lataifeh; Ashraf Elnagar; Nawel Nemmour (Inf., 2022)

64-bit quantization: taking payload capacity of speech steganography to the limits. - Mohammed Baziyad; Ismail Shahin; Tamer Rabie; Ali Bou Nassif (Multim. Tools Appl., 2022)

Arabic fake news detection based on deep contextualized embedding models. - Ali Bou Nassif; Ashraf Elnagar; Omar Elgendy; Yaman Afadar (Neural Comput. Appl., 2022)

On the value of project productivity for early effort estimation. - Mohammad Azzeh; Ali Bou Nassif; Yousef Elsheikh; Lefteris Angelis (Sci. Comput. Program., 2022)

Improved Optical Flow Estimation Method for Deepfake Videos. - Ali Bou Nassif; Qassim Nasir; Manar Abu Talib; Omar Mohamed Gouda (Sensors, 2022)

Empirical Evaluation of Shallow and Deep Learning Classifiers for Arabic Sentiment Analysis. - Ali Bou Nassif; Abdollah Masoud Darya; Ashraf Elnagar (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022)

Image Scenario classification using Machine learning. - Khawla Saif Almazrouei; Ali J. Bou Nassif (CIIS, 2023)

Metaheuristic Approach for Solving the Traveling Salesman Problem with Drone. - Mohamed Wed Eladham; Ali Bou Nassif (CIIS, 2023)

Optimization Algorithms in Smart Grids: A Systematic Literature Review. - Sidra Aslam; Ala Altaweel; Ali Bou Nassif (CoRR, 2023)

Arabic Mispronunciation Recognition System Using LSTM Network. - Abdelfatah Hassan Ahmed; Mohamed Bader; Ismail Shahin; Ali Bou Nassif; Naoufel Werghi; Mohammad Basel (Inf., 2023)

Examining the performance of kernel methods for software defect prediction based on support vector machine. - Mohammad Azzeh; Yousef Elsheikh; Ali Bou Nassif; Lefteris Angelis (Sci. Comput. Program., 2023)

Novel Task-Based Unification and Adaptation (TUA) Transfer Learning Approach for Bilingual Emotional Speech Data. - Ismail Shahin; Ali Bou Nassif; Rameena Thomas; Shibani Hamsa (Inf., 2023)

Speaker identification from emotional and noisy speech using learned voice segregation and speech VGG. - Shibani Hamsa; Ismail Shahin; Youssef Iraqi; Ernesto Damiani; Ali Bou Nassif; Naoufel Werghi (Expert Syst. Appl., 2023)

Metaheuristic Algorithms in Optimal Power Flow Analysis: A Qualitative Systematic Review. - Mena Maurice Farag; Razan Adnan Alhamad; Ali Bou Nassif (Int. J. Artif. Intell. Tools, 2023)

Enhanced Intrusion Detection in Cloud Security by Optimizing Classification Algorithms. - Mohammad Ziad Mizher; Ali Bou Nassif (BDCAT, 2024)

Deep Learning Algorithms in Aircraft Detection and Classification: An Analytical Survey. - Noora Alkharji; Hessa Almazrouei; Shaikha Alzaabi; Ali Bou Nassif; Mariame Elsalhy; Manar Abu Talib (DeSE, 2024)

Impact of Outliers on Regression and Classification Models: An Empirical Analysis. - Sam Ansari; Ali Bou Nassif; Soliman A. Mahmoud; Sohaib Majzoub; Eqab R. F. Almajali; Anwar H. Jarndal; Talal Bonny; Khawla A. Alnajjar; Abir Hussain (DeSE, 2024)

Aircraft-Type Classification Using Deep Learning Algorithms. - Noora Alkharji; Hessa Almazrouei; Shaikha Alzaabi; Ali Bou Nassif; Mariame Elsalhy; Manar Abu Talib (IS, 2024)

Software Defect Prediction Using Non-Dominated Sorting Genetic Algorithm and k-Nearest Neighbour Classifier. - Mohammad Azzeh; Ali Bou Nassif; Manar Abu Talib; Hajra Iqbal (e Informatica Softw. Eng. J., 2024)

Effect of feature optimization on performance of machine learning models for predicting traffic incident duration. - Lubna Obaid; Khaled Hamad; Mohamad Ali Khalil; Ali Bou Nassif (Eng. Appl. Artif. Intell., 2024)

Detection of Arabic offensive language in social media using machine learning models. - Aya Mousa; Ismail Shahin; Ali Bou Nassif; Ashraf Elnagar (Intell. Syst. Appl., 2024)

Comparative study of ML models for IIoT intrusion detection: impact of data preprocessing and balancing. - Abdulrahman Mahmoud Eid; Bassel Soudan; Ali Bou Nassif; MohammadNoor Injadat (Neural Comput. Appl., 2024)

Correction: Comparative study of ML models for IIoT intrusion detection: impact of data preprocessing and balancing. - Abdulrahman Mahmoud Eid; Bassel Soudan; Ali Bou Nassif; MohammadNoor Injadat (Neural Comput. Appl., 2024)

Software effort estimation using convolutional neural network and fuzzy clustering. - Mohammad Azzeh; Abedalrhman Alkhateeb; Ali Bou Nassif (Neural Comput. Appl., 2024)

Enhancing intrusion detection in IIoT: optimized CNN model with multi-class SMOTE balancing. - Abdulrahman Mahmoud Eid; Bassel Soudan; Ali Bou Nassif; MohammadNoor Injadat (Neural Comput. Appl., 2024)

Parameter-efficient fine-tuning of pre-trained code models for just-in-time defect prediction. - Manar Abu Talib; Ali Bou Nassif; Mohammad Azzeh; Yaser Alesh; Yaman Afadar (Neural Comput. Appl., 2024)

Emotional speaker identification using PCAFCM-deepforest with fuzzy logic. - Ali Bou Nassif; Ismail Shahin; Nawel Nemmour (Neural Comput. Appl., 2024)

A tree-based explainable AI model for early detection of Covid-19 using physiological data. - Manar Abu Talib; Yaman Afadar; Qassim Nasir; Ali Bou Nassif; Haytham Hijazi; Ahmad Hasasneh (BMC Medical Informatics Decis. Mak., 2024)

ViT-LSTM synergy: a multi-feature approach for speaker identification and mask detection. - Ali Bou Nassif; Ismail Shahin; Mohamed Bader; Abdelfatah Hassan Ahmed; Naoufel Werghi (Neural Comput. Appl., 2024)

Unlocking language boundaries: AraCLIP - transforming Arabic language and image understanding through cross-lingual models. - Muhammad Al-Barham; Imad Afyouni; Khalid Almubarak; Ayad Turky; Ibrahim Abaker Targio Hashem; Ali Bou Nassif; Ismail Shahin; Ashraf Elnagar (Eng. Appl. Artif. Intell., 2025)

Detecting stress parameters in dromedary camels using computer vision. - Hiba Moideen; Manar Abu Talib; Nabil Mansour; Shaher Bano Mirza; Ali Bou Nassif; Simon Zerisenay Ghebremeskel; Fouad Lamghari; Yaman Afadar; Takua Mokhamed (Ecol. Informatics, 2025)

Enhancing CNN-based network intrusion detection through hyperparameter optimization. - Antanios Kaissar; Ali Bou Nassif; Bassel Soudan; MohammadNoor Injadat (Intell. Syst. Appl., 2025)

Correction: Software effort estimation using convolutional neural network and fuzzy clustering. - Mohammad Azzeh; Abedalrhman Alkhateeb; Ali Bou Nassif (Neural Comput. Appl., 2025)

Classification of lung cancer severity using gene expression data based on deep learning. - Ali Bou Nassif; Nour Ayman Abujabal; Aya AlChikh Omar (BMC Medical Informatics Decis. Mak., 2025)