Ali Bou Nassif

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 133

Top Venues

Publications

Manar Abu Talib, Yaman Afadar, Qassim Nasir, Ali Bou Nassif, Haytham Hijazi, Ahmad Hasasneh
A tree-based explainable AI model for early detection of Covid-19 using physiological data. BMC Medical Informatics Decis. Mak. 24 (1) (2024)
Abdulrahman Mahmoud Eid, Bassel Soudan, Ali Bou Nassif, MohammadNoor Injadat
Enhancing intrusion detection in IIoT: optimized CNN model with multi-class SMOTE balancing. Neural Comput. Appl. 36 (24) (2024)
Abdulrahman Mahmoud Eid, Bassel Soudan, Ali Bou Nassif, MohammadNoor Injadat
Correction: Comparative study of ML models for IIoT intrusion detection: impact of data preprocessing and balancing. Neural Comput. Appl. 36 (19) (2024)
Aya Mousa, Ismail Shahin, Ali Bou Nassif, Ashraf Elnagar
Detection of Arabic offensive language in social media using machine learning models. Intell. Syst. Appl. 22 (2024)
Abdulrahman Mahmoud Eid, Bassel Soudan, Ali Bou Nassif, MohammadNoor Injadat
Comparative study of ML models for IIoT intrusion detection: impact of data preprocessing and balancing. Neural Comput. Appl. 36 (13) (2024)
Mohammad Azzeh, Ali Bou Nassif, Manar Abu Talib, Hajra Iqbal
Software Defect Prediction Using Non-Dominated Sorting Genetic Algorithm and k-Nearest Neighbour Classifier. e Informatica Softw. Eng. J. 18 (1) (2024)
Mohammad Azzeh, Abedalrhman Alkhateeb, Ali Bou Nassif
Software effort estimation using convolutional neural network and fuzzy clustering. Neural Comput. Appl. 36 (23) (2024)
Lubna Obaid, Khaled Hamad, Mohamad Ali Khalil, Ali Bou Nassif
Effect of feature optimization on performance of machine learning models for predicting traffic incident duration. Eng. Appl. Artif. Intell. 131 (2024)
Mena Maurice Farag, Razan Adnan Alhamad, Ali Bou Nassif
Metaheuristic Algorithms in Optimal Power Flow Analysis: A Qualitative Systematic Review. Int. J. Artif. Intell. Tools 32 (7) (2023)
Shibani Hamsa, Ismail Shahin, Youssef Iraqi, Ernesto Damiani, Ali Bou Nassif, Naoufel Werghi
Speaker identification from emotional and noisy speech using learned voice segregation and speech VGG. Expert Syst. Appl. 224 (2023)
Mohammad Azzeh, Yousef Elsheikh, Ali Bou Nassif, Lefteris Angelis
Examining the performance of kernel methods for software defect prediction based on support vector machine. Sci. Comput. Program. 226 (2023)
Mohamed Wed Eladham, Ali Bou Nassif
Metaheuristic Approach for Solving the Traveling Salesman Problem with Drone. CIIS (2023)
Abdelfatah Hassan Ahmed, Mohamed Bader, Ismail Shahin, Ali Bou Nassif, Naoufel Werghi, Mohammad Basel
Arabic Mispronunciation Recognition System Using LSTM Network. Inf. 14 (7) (2023)
Sidra Aslam, Ala Altaweel, Ali Bou Nassif
Optimization Algorithms in Smart Grids: A Systematic Literature Review. CoRR (2023)
Ismail Shahin, Ali Bou Nassif, Rameena Thomas, Shibani Hamsa
Novel Task-Based Unification and Adaptation (TUA) Transfer Learning Approach for Bilingual Emotional Speech Data. Inf. 14 (4) (2023)
Ali Bou Nassif, Manar Abu Talib, Qassim Nasir, Yaman Afadar, Omar Elgendy
Breast cancer detection using artificial intelligence techniques: A systematic literature review. CoRR (2022)
Ali Bou Nassif, Abdollah Masoud Darya, Ashraf Elnagar
Empirical Evaluation of Shallow and Deep Learning Classifiers for Arabic Sentiment Analysis. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21 (1) (2022)
Ali Bou Nassif, Qassim Nasir, Manar Abu Talib, Omar Mohamed Gouda
Improved Optical Flow Estimation Method for Deepfake Videos. Sensors 22 (7) (2022)
Luiz Fernando Capretz, Saad Harous, Ali Bou Nassif
What UAE Software Students Think about Software Testing: A Replicated Study. CoRR (2022)
Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan
On Selection of Optimal Kernel Function for Software Defect Prediction. ICMLA (2022)
Mohammad Azzeh, Ali Bou Nassif, Yousef Elsheikh, Lefteris Angelis
On the Value of Project Productivity for Early Effort Estimation. CoRR (2022)
Mohammad Azzeh, Ali Bou Nassif, Yousef Elsheikh, Lefteris Angelis
On the value of project productivity for early effort estimation. Sci. Comput. Program. 219 (2022)
Manar Abu Talib, Qassim Nasir, Ali Bou Nassif, Takua Mokhamed, Nafisa Ahmed, Bayan Mahfood
APT beaconing detection: A systematic review. Comput. Secur. 122 (2022)
Ali Bou Nassif, Aya Al-Chikh Omar
A Comprehensive Study on Machine Learning in Breast Cancer Detection and Classification. ICAAI (2022)
Ali Bou Nassif, Ismail Shahin, Ashraf Elnagar, Divya Velayudhan, Adi Alhudhaif, Kemal Polat
Emotional Speaker Identification using a Novel Capsule Nets Model. CoRR (2022)
Mohammed Baziyad, Ismail Shahin, Tamer Rabie, Ali Bou Nassif
64-bit quantization: taking payload capacity of speech steganography to the limits. Multim. Tools Appl. 81 (28) (2022)
Ali Bou Nassif, Bassel Soudan, Mohammad Azzeh, Imtinan Basem Attilli, Omar AlMulla
Artificial Intelligence and Statistical Techniques in Short-Term Load Forecasting: A Review. CoRR (2022)
Ismail Shahin, Noor Ahmad Al Hindawi, Ali Bou Nassif, Adi Alhudhaif, Kemal Polat
Novel dual-channel long short-term memory compressed capsule networks for emotion recognition. Expert Syst. Appl. 188 (2022)
Ali Bou Nassif, Ashraf Elnagar, Omar Elgendy, Yaman Afadar
Arabic fake news detection based on deep contextualized embedding models. Neural Comput. Appl. 34 (18) (2022)
Omar Mahdi, Ali Bou Nassif
Transformation Invariant Cancerous Tissue Classification Using Spatially Transformed DenseNet. CoRR (2022)
Ali Bou Nassif, Ismail Shahin, Ashraf Elnagar, Divya Velayudhan, Adi Alhudhaif, Kemal Polat
Emotional speaker identification using a novel capsule nets model. Expert Syst. Appl. 193 (2022)
Osama Ahmad Alomari, Ashraf Elnagar, Imad Afyouni, Ismail Shahin, Ali Bou Nassif, Ibrahim Abaker Targio Hashem, Mohammad Tubishat
Hybrid Feature Selection Based on Principal Component Analysis and Grey Wolf Optimizer Algorithm for Arabic News Article Classification. IEEE Access 10 (2022)
Ali Bou Nassif, Ashraf Elnagar, Omar Elgendy, Yaman Afadar
Arabic Fake News Detection Based on Deep Contextualized Embedding Models. CoRR (2022)
Ali Bou Nassif, Ismail Shahin, Mohammed Lataifeh, Ashraf Elnagar, Nawel Nemmour
Empirical Comparison between Deep and Classical Classifiers for Speaker Verification in Emotional Talking Environments. Inf. 13 (10) (2022)
Ali Bou Nassif, Manar Abu Talib, Qassim Nasir, Yaman Afadar, Omar Elgendy
Breast cancer detection using artificial intelligence techniques: A systematic literature review. Artif. Intell. Medicine 127 (2022)
Ali Bou Nassif, Ismail Shahin, Shibani Hamsa, Nawel Nemmour, Keikichi Hirose
CASA-based speaker identification using cascaded GMM-CNN classifier in noisy and emotional talking conditions. Appl. Soft Comput. 103 (2021)
Noor Ahmad Al Hindawi, Ismail Shahin, Ali Bou Nassif
Speaker Identification for Disguised Voices Based on Modified SVM Classifier. SSD (2021)
Ali Bou Nassif, Abdollah Masoud Darya, Ashraf Elnagar
Empirical evaluation of shallow and deep learning classifiers for Arabic sentiment analysis. CoRR (2021)
Ali Bou Nassif, Manar Abu Talib, Qassim Nasir, Fatima Mohamad Dakalbab
Machine Learning for Anomaly Detection: A Systematic Review. IEEE Access 9 (2021)
Asmaa Seyam, Ali Bou Nassif, Manar Abu Talib, Qassim Nasir, Bushra Al Blooshi
Deep Learning Models to Detect Online False Information: A Systematic Literature Review. ArabWIC (2021)
Ismail Shahin, Noor Ahmad Al Hindawi, Ali Bou Nassif, Adi Alhudhaif, Kemal Polat
Novel Dual-Channel Long Short-Term Memory Compressed Capsule Networks for Emotion Recognition. CoRR (2021)
Ismail Shahin, Ali Bou Nassif, Nawel Nemmour, Ashraf Elnagar, Adi Alhudhaif, Kemal Polat
Novel Hybrid DNN Approaches for Speaker Verification in Emotional and Stressful Talking Environments. CoRR (2021)
Ismail Shahin, Ali Bou Nassif, Noor Ahmad Al Hindawi
Speaker identification in stressful talking environments based on convolutional neural network. Int. J. Speech Technol. 24 (4) (2021)
MohammadNoor Injadat, Abdallah Moubayed, Ali Bou Nassif, Abdallah Shami
Machine learning towards intelligent systems: applications, challenges, and opportunities. Artif. Intell. Rev. 54 (5) (2021)
Mohammad Azzeh, Ali Bou Nassif, Cuauhtémoc López Martín
Empirical Analysis on Productivity Prediction and Locality for Use Case Points Method. CoRR (2021)
Ismail Shahin, Ali Bou Nassif, Nawel Nemmour, Ashraf Elnagar, Adi Alhudhaif, Kemal Polat
Novel hybrid DNN approaches for speaker verification in emotional and stressful talking environments. Neural Comput. Appl. 33 (23) (2021)
Luiz Fernando Capretz, Ali Bou Nassif, Saad Harous
Perceptions about Software Testing among UAE Software Students. CHASE@ICSE (2021)
Dina J. Hejji, Manar Abu Talib, Ali Bou Nassif, Qassim Nasir, Ahmed Bouridane
AI-based Models for Resource Allocation and Resource Demand Forecasting Systems in Aviation: A Survey and Analytical Study. IoTaIS (2021)
MohammadNoor Injadat, Abdallah Moubayed, Ali Bou Nassif, Abdallah Shami
Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection. IEEE Trans. Netw. Serv. Manag. 18 (2) (2021)
MohammadNoor Injadat, Abdallah Moubayed, Ali Bou Nassif, Abdallah Shami
Machine Learning Towards Intelligent Systems: Applications, Challenges, and Opportunities. CoRR (2021)
Ashraf Elnagar, Imad Afyouni, Ismail Shahin, Ali Bou Nassif, Said A. Salloum
The empirical study of e-learning post-acceptance after the spread of COVID-19: A multi-analytical approach based hybrid SEM-ANN. CoRR (2021)
Ismail Shahin, Ali Bou Nassif, Mohamed Bader Alsabek
COVID-19 Electrocardiograms Classification using CNN Models. DeSE (2021)
Ali Bou Nassif, Manar AbuTalib, Qassim Nasir, Halah Albadani, Fatima Mohamad Dakalbab
Machine Learning for Cloud Security: A Systematic Review. IEEE Access 9 (2021)
Haytham Hijazi, Manar Abu Talib, Ahmad Hasasneh, Ali Bou Nassif, Nafisa Ahmed, Qassim Nasir
Wearable Devices, Smartphones, and Interpretable Artificial Intelligence in Combating COVID-19. Sensors 21 (24) (2021)
Noor Ahmad Al Hindawi, Ismail Shahin, Ali Bou Nassif
The exploitation of Multiple Feature Extraction Techniques for Speaker Identification in Emotional States under Disguised Voices. CoRR (2021)
Sonia Meskini, Ali Bou Nassif, Luiz Fernando Capretz
Reliability Models for Smartphone Applications. CoRR (2021)
Mohammad Azzeh, Ali Bou Nassif, Imtinan Basem Attili
Predicting software effort from use case points: A systematic review. Sci. Comput. Program. 204 (2021)
Ashraf Elnagar, Sane Yagi, Ali Bou Nassif, Ismail Shahin, Said A. Salloum
Sentiment Analysis in Dialectal Arabic: A Systematic Review. AMLTA (2021)
Ali Bou Nassif, Ismail Shahin, Shibani Hamsa, Nawel Nemmour, Keikichi Hirose
CASA-Based Speaker Identification Using Cascaded GMM-CNN Classifier in Noisy and Emotional Talking Conditions. CoRR (2021)
Ali Bou Nassif, Ashraf Elnagar, Ismail Shahin, Safaa Henno
Deep learning for Arabic subjective sentiment analysis: Challenges and research opportunities. Appl. Soft Comput. 98 (2021)
Mohammad Azzeh, Ali Bou Nassif, Cuauhtémoc López Martín
Empirical analysis on productivity prediction and locality for use case points method. Softw. Qual. J. 29 (2) (2021)
Noor Ahmad Al Hindawi, Ismail Shahin, Ali Bou Nassif
The exploitation of Multiple Feature Extraction Techniques for Speaker Identification in Emotional States under Disguised Voices. DeSE (2021)
Abdalkarim R. M. Seyam, Ali Bou Nassif, Qassim Nasir, Bushra Al Blooshi, Manar Abu Talib
Deep Learning Techniques to Detect DoS Attacks on Industrial Control Systems: A Systematic Literature Review. ArabWIC (2021)
Ashraf Elnagar, Sane Yagi, Ali Bou Nassif, Ismail Shahin, Said A. Salloum
Systematic Literature Review of Dialectal Arabic: Identification and Detection. IEEE Access 9 (2021)
Mohammed Baziyad, Ismail Shahin, Tamer Rabie, Ali Bou Nassif
Maximizing embedding capacity for speech steganography: a segment-growing approach. Multim. Tools Appl. 80 (16) (2021)
Ismail Shahin, Ali Bou Nassif, Mohamed Bader Alsabek
COVID-19 Electrocardiograms Classification using CNN Models. CoRR (2021)
Yaman Afadar, Ali Bou Nassif, Maha Alaa Eddin, Manar AbuTalib, Qassim Nasir
Heart Arrhythmia Abnormality Classification Using Machine Learning. CCCI (2020)
Mariam AlAbboudi, Maitha Majed, Fatima Hassan, Ali Bou Nassif
EEG Wheelchair for People of Determination. CoRR (2020)
Cuauhtémoc López Martín, Yenny Villuendas-Rey, Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan
-nearest neighborhood output distance minimization for predicting the defect density of software projects. J. Syst. Softw. 167 (2020)
Dina Jamal Hejji, Ali Bou Nassif, Qassim Nasir, Manar AbuTalib
Systematic Literature Review: Metaheuristics-based Approach for Workflow Scheduling in Cloud. CCCI (2020)
MohammadNoor Injadat, Abdallah Moubayed, Ali Bou Nassif, Abdallah Shami
Systematic ensemble model selection approach for educational data mining. Knowl. Based Syst. 200 (2020)
Ali Bou Nassif, Manar AbuTalib, Luiz Fernando Capretz
Software Effort Estimation from Use Case Diagrams Using Nonlinear Regression Analysis. CCECE (2020)
MohammadNoor Injadat, Abdallah Moubayed, Ali Bou Nassif, Abdallah Shami
Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection. CoRR (2020)
MohammadNoor Injadat, Fadi Salo, Ali Bou Nassif, Aleksander Essex, Abdallah Shami
Bayesian Optimization with Machine Learning Algorithms Towards Anomaly Detection. CoRR (2020)
Ismail Shahin, Ali Bou Nassif, Shibani Hamsa
Novel cascaded Gaussian mixture model-deep neural network classifier for speaker identification in emotional talking environments. Neural Comput. Appl. 32 (7) (2020)
MohammadNoor Injadat, Abdallah Moubayed, Ali Bou Nassif, Abdallah Shami
Multi-split optimized bagging ensemble model selection for multi-class educational data mining. Appl. Intell. 50 (12) (2020)
Aya Mousa, Ismail Shahin, Ali Bou Nassif, Ashraf Elnagar
Cascaded RBF-CBiLSTM for Arabic Named Entity Recognition. CCCI (2020)
Mohammed Lataifeh, Ashraf Elnagar, Ismail Shahin, Ali Bou Nassif
Arabic audio clips: Identification and discrimination of authentic Cantillations from imitations. Neurocomputing 418 (2020)
Ali Bou Nassif, Manar AbuTalib, Luiz Fernando Capretz
Software Effort Estimation from Use Case Diagrams Using Nonlinear Regression Analysis. CoRR (2020)
Fadi Salo, MohammadNoor Injadat, Ali Bou Nassif, Aleksander Essex
Data Mining with Big Data in Intrusion Detection Systems: A Systematic Literature Review. CoRR (2020)
MohammadNoor Injadat, Abdallah Moubayed, Ali Bou Nassif, Abdallah Shami
Systematic Ensemble Model Selection Approach for Educational Data Mining. CoRR (2020)
Mohammad Azzeh, Ali Bou Nassif, Imtinan Basem Attili
Predicting Software Effort from Use Case Points: A Systematic Review. CoRR (2020)
Salama Alketbi, Ali Bou Nassif, Maha Alaa Eddin, Ismail Shahin, Ashraf Elnagar
Predicting the power of a combined cycle power plant using machine learning methods. CCCI (2020)
Hamza Ghandorh, Abdulfattah Noorwali, Ali Bou Nassif, Luiz Fernando Capretz, Roy Eagleson
A Systematic Literature Review for Software Portability Measurement: Preliminary Results. ICSCA (2020)
MohammadNoor Injadat, Abdallah Moubayed, Ali Bou Nassif, Abdallah Shami
Multi-split Optimized Bagging Ensemble Model Selection for Multi-class Educational Data Mining. CoRR (2020)
Ali Bou Nassif, Mohammad Azzeh, Ali Idri, Alain Abran
Software Development Effort Estimation Using Regression Fuzzy Models. CoRR (2019)
Mohammed Baziyad, Ali Bou Nassif, Tamer Rabie, Raouf Fareh
Comparative Study on the Performance of Heuristic Optimization Techniques in Robotic Path Planning. ICAAI (2019)
Fadi Salo, Ali Bou Nassif, Aleksander Essex
Dimensionality reduction with IG-PCA and ensemble classifier for network intrusion detection. Comput. Networks 148 (2019)
Sonia Meskini, Ali Bou Nassif, Luiz Fernando Capretz
Can We Rely on Smartphone Applications? TOOLS (2019)
Ismail Shahin, Ali Bou Nassif
Speaker Verification in Emotional Talking Environments based on Third-Order Circular Suprasegmental Hidden Markov Model. CoRR (2019)
Ali Bou Nassif, Ismail Shahin, Imtinan Basem Attili, Mohammad Azzeh, Khaled Shaalan
Speech Recognition Using Deep Neural Networks: A Systematic Review. IEEE Access 7 (2019)
Cuauhtémoc López Martín, Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan
v-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects. CoRR (2019)
Sonia Meskini, Ali Bou Nassif, Luiz Fernando Capretz
Can we rely on smartphone applications? CoRR (2019)
Ali Bou Nassif, Mohammad Azzeh, Ali Idri, Alain Abran
Software Development Effort Estimation Using Regression Fuzzy Models. Comput. Intell. Neurosci. 2019 (2019)
Rifat A. Hamoudi, Meriem Bettayeb, Areej Alsaafin, Mahmood Hachim, Qassim Nasir, Ali Bou Nassif
Identifying Patterns of Breast Cancer Genetic Signatures using Unsupervised Machine Learning. IST (2019)
Ismail Shahin, Ali Bou Nassif
Emirati-Accented Speaker Identification in Stressful Talking Conditions. CoRR (2019)
Ismail Shahin, Ali Bou Nassif, Shibani Hamsa
Emotion Recognition Using Hybrid Gaussian Mixture Model and Deep Neural Network. IEEE Access 7 (2019)
Fadi Salo, MohammadNoor Injadat, Abdallah Moubayed, Ali Bou Nassif, Aleksander Essex
Clustering Enabled Classification using Ensemble Feature Selection for Intrusion Detection. ICNC (2019)
Cuauhtémoc López Martín, Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan
Upsilon-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects. ICMLA (2018)
Abdallah Moubayed, MohammadNoor Injadat, Ali Bou Nassif, Hanan Lutfiyya, Abdallah Shami
E-Learning: Challenges and Research Opportunities Using Machine Learning & Data Analytics. IEEE Access 6 (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ali Bou Nassif