A. B. Nassif

发表

Dimensionality reduction with IG-PCA and ensemble classifier for network intrusion detection

Ali Bou Nassif, Aleksander Essex, Fadi Salo, 2019, Comput. Networks.

A Survey on Network Intrusion Detection using Convolutional Neural Network

Ali Bou Nassif, A. B. Nassif, Antanios Kaissar, 2022, ITM Web of Conferences.

A Survey on Network Intrusion Detection using Convolutional Neural Network

A. B. Nassif, Antanios Kaissar, M. Injadat, 2022, ITM Web of Conferences.

Mining Techniques in Social Media : A Survey

F. Salo, A. B. Nassif, M. Injadat, 2016 .

Cross Domain Sentiment Classification Techniques: A Review

F. Salo, A. B. Nassif, P. Gastaldo, 2019 .

A Comparison Between Decision Trees and Decision Tree Forest Models for Software Effort Estimation

Luiz Fernando Capretz, A. B. Nassif, Mohammad Azzeh, 2013 .

Estimating Software Effort Using an ANN Model Based on Use Case Points

Danny Ho, Luiz Fernando Capretz, Ali Bou Nassif, 2012, 2012 11th International Conference on Machine Learning and Applications.

Systematic Literature Review on Metaheuristic Optimization Techniques in WSNs

A. B. Nassif, Q. Nasir, Manar AbuTalib, 2020, International Journal of Mathematics and Computers in Simulation.

Transformation Invariant Cancerous Tissue Classification Using Spatially Transformed DenseNet

A. B. Nassif, Omar Mahdi, 2022, 2022 Advances in Science and Engineering Technology International Conferences (ASET).

Attempting cardiac arrest prediction using artificial intelligence on vital signs from Electronic Health Records

A. B. Nassif, B. Soudan, Fetna F. Dandachi, 2022, Smart Health.

Improved Optical Flow Estimation Method for Deepfake Videos

A. B. Nassif, Q. Nasir, M. A. Talib, 2021, Sensors.

PID Controller Gains Tuning Using Metaheuristic Optimization Methods: A survey

A. B. Nassif, Abdallah Abushawish, Mohammed Hamadeh, 2020, International Journal of Computers.

Short term power demand prediction using stochastic gradient boosting

A. B. Nassif, 2016, 2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA).

APT beaconing detection: A systematic review

A. B. Nassif, Q. Nasir, M. A. Talib, 2022, Comput. Secur..

Data-driven hardness prediction and analysis of {AlCoCrF eNiT iCu} system of High Entropy Alloys

A. B. Nassif, Mahmoud Bakr, S. Junaidi, 2022, 2022 Advances in Science and Engineering Technology International Conferences (ASET).

Arabic fake news detection based on deep contextualized embedding models

Omar A. Elgendy, A. B. Nassif, A. Elnagar, 2022, Neural Computing and Applications.

A Comprehensive Study of Regression Analysis and the Existing Techniques

Ali Bou Nassif, A. B. Nassif, Samreen Ansari, 2022, 2022 Advances in Science and Engineering Technology International Conferences (ASET).

Machine learning towards intelligent systems: applications, challenges, and opportunities

Abdallah Shami, Abdallah Moubayed, Ali Bou Nassif, 2021, Artif. Intell. Rev..

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

Luiz Fernando Capretz, A. B. Nassif, S. Harous, 2022, ArXiv.

Emirati-accented speaker identification in each of neutral and shouted talking environments

A. B. Nassif, I. Shahin, Mohammed Bahutair, 2018, International Journal of Speech Technology.

On the value of parameter tuning in heterogeneous ensembles effort estimation

A. B. Nassif, A. Abran, A. Idri, 2017, Soft Computing.

Hybrid Feature Selection Based on Principal Component Analysis and Grey Wolf Optimizer Algorithm for Arabic News Article Classification

A. B. Nassif, A. Elnagar, Imad Afyouni, 2022, IEEE Access.

Machine learning towards intelligent systems: applications, challenges, and opportunities

A. B. Nassif, M. Injadat, Abdallah Moubayed, 2021, Artificial Intelligence Review.

Pareto efficient multi-objective optimization for local tuning of analogy-based estimation

Fadi Almasalha, Mohammad Azzeh, Shadi Banitaan, 2016, Neural Computing and Applications.

Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection

Abdallah Shami, Abdallah Moubayed, Ali Bou Nassif, 2020, IEEE Transactions on Network and Service Management.

Bayesian Optimization with Machine Learning Algorithms Towards Anomaly Detection

Abdallah Shami, Ali Bou Nassif, Aleksander Essex, 2018, 2018 IEEE Global Communications Conference (GLOBECOM).

Data mining techniques in social media: A survey

Ali Bou Nassif, Fadi Salo, MohammadNoor Injadat, 2016, Neurocomputing.

Fuzzy Model Tree for Early Effort Estimation

Mohammad Azzeh, Ali Bou Nassif, A. B. Nassif, 2013, 2013 12th International Conference on Machine Learning and Applications.

A comparison between decision trees and decision tree forest models for software development effort estimation

Danny Ho, Luiz Fernando Capretz, Mohammad Azzeh, 2013, 2013 Third International Conference on Communications and Information Technology (ICCIT).

A Treeboost Model for Software Effort Estimation Based on Use Case Points

Danny Ho, Luiz Fernando Capretz, Mohammad Azzeh, 2012, 2012 11th International Conference on Machine Learning and Applications.

Software Size and Effort Estimation from Use Case Diagrams Using Regression and Soft Computing Models

Ali Bou Nassif, A. B. Nassif, 2012 .

A machine learning framework for discovering high entropy alloys phase formation drivers

A. B. Nassif, J. Syarif, Mahmoud B. Elbeltagy, 2023, Heliyon.

Towards an early software estimation using log-linear regression and a multilayer perceptron model

Danny Ho, Luiz Fernando Capretz, Ali Bou Nassif, 2013, J. Syst. Softw..

Speaker identification in stressful talking environments based on convolutional neural network

Ismail Shahin, Ali Bou Nassif, Noor Hindawi, 2021, International Journal of Speech Technology.

Speech Recognition Using Deep Neural Networks: A Systematic Review

Khaled Shaalan, Ismail Shahin, Mohammad Azzeh, 2019, IEEE Access.

CASA-Based Speaker Identification Using Cascaded GMM-CNN Classifier in Noisy and Emotional Talking Conditions

Keikichi Hirose, Ismail Shahin, Ali Bou Nassif, 2021, Appl. Soft Comput..

The empirical study of e-learning post-acceptance after the spread of COVID-19: A multi-analytical approach based hybrid SEM-ANN pdf

Said A. Salloum, Ismail Shahin, Ali Bou Nassif, 2021, ArXiv.

Multi-split optimized bagging ensemble model selection for multi-class educational data mining

Abdallah Shami, Abdallah Moubayed, Ali Bou Nassif, 2020, Applied Intelligence.

Systematic Ensemble Model Selection Approach for Educational Data Mining pdf

Abdallah Shami, Abdallah Moubayed, Ali Bou Nassif, 2020, Knowl. Based Syst..

E-Learning: Challenges and Research Opportunities Using Machine Learning & Data Analytics

Hanan Lutfiyya, Abdallah Shami, Abdallah Moubayed, 2018, IEEE Access.

Deep Learning Models to Detect Online False Information: A Systematic Literature Review

Qassim Nasir, Ali Bou Nassif, Asmaa Seyam, 2021, ArabWIC.

Deep learning for Arabic subjective sentiment analysis: Challenges and research opportunities

Ashraf Elnagar, Ismail Shahin, Ali Bou Nassif, 2020, Appl. Soft Comput..

Fuzzy-ExCOM Software Project Risk Assessment

Danny Ho, Luiz Fernando Capretz, Ali Bou Nassif, 2012, 2012 11th International Conference on Machine Learning and Applications.

Machine Learning Classifications of Coronary Artery Disease

Qassim Nasir, Mohammad Azzeh, Ali Bou Nassif, 2018, 2018 International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP).

Sentiment Analysis in Dialectal Arabic: A Systematic Review

Said A. Salloum, Ismail Shahin, Ali Bou Nassif, 2021, AMLTA.

Systematic Literature Review of Dialectal Arabic: Identification and Detection

Said A. Salloum, Ashraf Elnagar, Ismail Shahin, 2021, IEEE Access.

Emotion Recognition Using Hybrid Gaussian Mixture Model and Deep Neural Network

Ismail Shahin, Ali Bou Nassif, Shibani Hamsa, 2019, IEEE Access.

Emotional Speaker Verification Using Novel Modified Capsule Neural Network

A. B. Nassif, A. Elnagar, I. Shahin, 2023, Mathematics.

Novel dual-channel long short-term memory compressed capsule networks for emotion recognition pdf

Kemal Polat, Ismail Shahin, Ali Bou Nassif, 2021, Expert Syst. Appl..

Breast cancer detection using artificial intelligence techniques: A systematic literature review

Ali Bou Nassif, Omar A. Elgendy, A. B. Nassif, 2022, Artif. Intell. Medicine.

Optimization Algorithms in Smart Grids: A Systematic Literature Review

A. B. Nassif, A. Altaweel, S. Aslam, 2023, ArXiv.

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

Ismail Shahin, Ali Bou Nassif, Tamer Rabie, 2021, Multimedia Tools and Applications.

Arabic audio clips: Identification and discrimination of authentic Cantillations from imitations

Ashraf Elnagar, Mohammed Lataifeh, Ismail Shahin, 2020, Neurocomputing.

Machine Learning for Anomaly Detection: A Systematic Review

Qassim Nasir, Ali Bou Nassif, Manar Abu Talib, 2021, IEEE Access.

Heart Arrhythmia Abnormality Classification Using Machine Learning

Qassim Nasir, Ali Bou Nassif, Manar AbuTalib, 2020, 2020 International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI).

Transformed k-nearest neighborhood output distance minimization for predicting the defect density of software projects

Mohammad Azzeh, Shadi Banitaan, Ali Bou Nassif, 2020, J. Syst. Softw..

COVID-19 Electrocardiograms Classification using CNN Models pdf

Ismail Shahin, Ali Bou Nassif, Mohamed Bader Alsabek, 2021, 2021 14th International Conference on Developments in eSystems Engineering (DeSE).

Machine Learning for Cloud Security: A Systematic Review

Qassim Nasir, Ali Bou Nassif, Manar Abu Talib, 2021, IEEE Access.

Novel hybrid DNN approaches for speaker verification in emotional and stressful talking environments pdf

Kemal Polat, Ismail Shahin, Ali Bou Nassif, 2021, Neural Computing and Applications.

Empirical analysis on productivity prediction and locality for use case points method

Mohammad Azzeh, Ali Bou Nassif, Cuauhtémoc López Martín, 2021, Software Quality Journal.

Predicting Software Effort from Use Case Points: A Systematic Review pdf

Mohammad Azzeh, Ali Bou Nassif, Imtinan B. Attili, 2020, Sci. Comput. Program..

Comparative analysis of soft computing techniques for predicting software effort based use case points

Mohammad Azzeh, Shadi Banitaan, Ali Bou Nassif, 2017, IET Softw..

Neural network models for software development effort estimation: a comparative study

Luiz Fernando Capretz, A. B. Nassif, Mohammad Azzeh, 2016, Neural Computing and Applications.

Can We Rely on Smartphone Applications?

Luiz Fernando Capretz, Ali Bou Nassif, Sonia Meskini, 2019, TOOLS.

Software Development Effort Estimation Using Regression Fuzzy Models

Alain Abran, Ali Idri, Mohammad Azzeh, 2019, Comput. Intell. Neurosci..

Ensemble of Learning Project Productivity in Software Effort Based on Use Case Points

Mohammad Azzeh, Shadi Banitaan, Ali Bou Nassif, 2018, 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA).

Project productivity evaluation in early software effort estimation

Mohammad Azzeh, Ali Bou Nassif, A. B. Nassif, 2018, J. Softw. Evol. Process..

On the value of parameter tuning in heterogeneous ensembles effort estimation

Alain Abran, Ali Idri, Mohamed Hosni, 2017, Soft Computing.

Analyzing the relationship between project productivity and environment factors in the use case points method

Mohammad Azzeh, Ali Bou Nassif, A. B. Nassif, 2017, J. Softw. Evol. Process..

Heterogeneous Ensembles for Software Development Effort Estimation

Alain Abran, Ali Idri, Mohamed Hosni, 2016, 2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI).

A hybrid model for estimating software project effort from Use Case Points pdf

Mohammad Azzeh, Ali Bou Nassif, A. B. Nassif, 2016, Appl. Soft Comput..

A Hybrid Intelligent Model for Software Cost Estimation pdf

Danny Ho, Luiz Fernando Capretz, Ali Bou Nassif, 2013, J. Comput. Sci..

Software Effort Estimation in the Early Stages of the Software Life Cycle Using a Cascade Correlation Neural Network Model

Danny Ho, Luiz Fernando Capretz, Ali Bou Nassif, 2012, 2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing.

Estimating Software Effort Based on Use Case Point Model Using Sugeno Fuzzy Inference System

Danny Ho, Luiz Fernando Capretz, Ali Bou Nassif, 2011, 2011 IEEE 23rd International Conference on Tools with Artificial Intelligence.

A Regression Model with Mamdani Fuzzy Inference System for Early Software Effort Estimation Based on Use Case Diagrams

Luiz Fernando Capretz, Ali Bou Nassif, A. B. Nassif, 2011 .

Data Mining Techniques in Intrusion Detection Systems: A Systematic Literature Review

Abdallah Shami, Ali Bou Nassif, Aleksander Essex, 2018, IEEE Access.

Performance Analysis of Hyperledger Fabric Platforms

Qassim Nasir, Ali Bou Nassif, Manar Abu Talib, 2018, Secur. Commun. Networks.

Comparative Study on the Performance of Heuristic Optimization Techniques in Robotic Path Planning

Ali Bou Nassif, Raouf Fareh, Mohammed Baziyad, 2019, ICAAI.

Data Mining with Big Data in Intrusion Detection Systems: A Systematic Literature Review pdf

Ali Bou Nassif, Aleksander Essex, Fadi Salo, 2020, ArXiv.

Identifying Patterns of Breast Cancer Genetic Signatures using Unsupervised Machine Learning

Qassim Nasir, Ali Bou Nassif, Meriem Bettayeb, 2019, 2019 IEEE International Conference on Imaging Systems and Techniques (IST).

Artificial Intelligence and Statistical Techniques in Short-Term Load Forecasting: A Review

Mohammad Azzeh, Ali Bou Nassif, Bassel Soudan, 2021, International Review on Modelling and Simulations (IREMOS).

Empirical Comparison between Deep and Classical Classifiers for Speaker Verification in Emotional Talking Environments

A. B. Nassif, A. Elnagar, I. Shahin, 2022, Inf..

Three-stage speaker verification architecture in emotional talking environments

Ismail Shahin, Ali Bou Nassif, A. B. Nassif, 2018, Int. J. Speech Technol..

Review of Various Metaheuristics Techniques for Tuning Parameters of PID/FOPID Controllers

A. B. Nassif, M. Nasir, Majd Saloumi, 2022, ITM Web of Conferences.

User Movement Prediction: The Contribution of Machine Learning Techniques

Mohammad Azzeh, Shadi Banitaan, Ali Bou Nassif, 2016, 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA).

Systematic Literature Review: Metaheuristics-based Approach for Workflow Scheduling in Cloud

Qassim Nasir, Ali Bou Nassif, Dina Jamal Hejji, 2020, 2020 International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI).

Phish-identifier: Machine Learning based classification of Phishing attacks

A. B. Nassif, S. Aslam, 2023, 2023 Advances in Science and Engineering Technology International Conferences (ASET).

Predicting the power of a combined cycle power plant using machine learning methods

Ashraf Elnagar, Ismail Shahin, Ali Bou Nassif, 2020, 2020 International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI).

Upsilon-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects

Mohammad Azzeh, Shadi Banitaan, Ali Bou Nassif, 2018, 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA).

An Application of Classification and Class Decomposition to Use Case Point Estimation Method

Mohammad Azzeh, Shadi Banitaan, Ali Bou Nassif, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

Novel Task-Based Unification and Adaptation (TUA) Transfer Learning Approach for Bilingual Emotional Speech Data

A. B. Nassif, I. Shahin, Shibani Hamsa, 2023, Inf..

Lung Cancer Prediction using Machine Learning based Feature Selection: A comparative Study

A. B. Nassif, Aya Al-Chikh Omar, 2023, 2023 Advances in Science and Engineering Technology International Conferences (ASET).

Novel cascaded Gaussian mixture model-deep neural network classifier for speaker identification in emotional talking environments

Ismail Shahin, Ali Bou Nassif, Shibani Hamsa, 2018, Neural Computing and Applications.

An empirical evaluation of ensemble adjustment methods for analogy-based effort estimation pdf

Leandro L. Minku, Mohammad Azzeh, Ali Bou Nassif, 2015, J. Syst. Softw..

Empirical Evaluation of Shallow and Deep Learning Classifiers for Arabic Sentiment Analysis

Ali Bou Nassif, Abdollah Masoud Darya, Ashraf Elnagar, 2021, ACM Trans. Asian Low Resour. Lang. Inf. Process..

Meta-heuristic algorithms-based feature selection for breast cancer diagnosis: A systematic review

A. B. Nassif, N. Abujabal, 2022, 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME).

A Comprehensive Study on Machine Learning in Breast Cancer Detection and Classification

A. B. Nassif, Aya Al-Chikh Omar, 2022, ICAAI.

Death/Recovery Prediction for Covid-19 Patients using Machine Learning

A. B. Nassif, Manar AbuTalib, O. Atef, 2020, International Journal of Systems Applications, Engineering & Development.

Emotional Speaker Identification using a Novel Capsule Nets Model

Kemal Polat, Ismail Shahin, Ali Bou Nassif, 2022, Expert Syst. Appl..

Clustering Enabled Classification using Ensemble Feature Selection for Intrusion Detection

Abdallah Moubayed, Ali Bou Nassif, Aleksander Essex, 2019, 2019 International Conference on Computing, Networking and Communications (ICNC).

Robust Rank Aggregation method for Case-Base effort estimation

Mohammad Azzeh, Shadi Banitaan, Ali Bou Nassif, 2017, 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE).

Analogy-based effort estimation: a new method to discover set of analogies from dataset characteristics

Mohammad Azzeh, Ali Bou Nassif, A. B. Nassif, 2015, IET Softw..

A Better Case Adaptation Method for Case-Based Effort Estimation Using Multi-objective Optimization

Shadi Banitaan, Ali Bou Nassif, A. B. Nassif, 2014, 2014 13th International Conference on Machine Learning and Applications.

Cascaded RBF-CBiLSTM for Arabic Named Entity Recognition

Ashraf Elnagar, Ismail Shahin, Ali Bou Nassif, 2020, 2020 International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI).

On the Value of Project Productivity for Early Effort Estimation

A. B. Nassif, L. Angelis, Mohammad Azzeh, 2022, Sci. Comput. Program..

An efficient feature selection method for arabic and english speech emotion recognition using Grey Wolf Optimizer

A. B. Nassif, A. Elnagar, Imad Afyouni, 2023, Applied Acoustics.

Regression Model for Software Effort Estimation Based on the Use Case Point Method

Danny Ho, Luiz Fernando Capretz, Ali Bou Nassif, 2011 .

Alzheimer Detection using Different Deep Learning Methods with MRI Images

Omar A. Elgendy, A. B. Nassif, 2023, 2023 Advances in Science and Engineering Technology International Conferences (ASET).

Class Decomposition Using K-Means and Hierarchical Clustering

Mohammad Azzeh, Shadi Banitaan, Ali Bou Nassif, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

Reliability Models Applied to Mobile Applications

Luiz Fernando Capretz, Ali Bou Nassif, Sonia Meskini, 2013, 2013 IEEE Seventh International Conference on Software Security and Reliability Companion.

Neural network models for software development effort estimation: a comparative study

Luiz Fernando Capretz, Ali Bou Nassif, A. B. Nassif, 2015, Neural Computing and Applications.