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Ali Bou Nassif
Ali J. Bou Nassif
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2020 – today
- 2025
- [j71]Muhammad Al-Barham
, Imad Afyouni
Unlocking language boundaries: AraCLIP - transforming Arabic language and image understanding through cross-lingual models. Eng. Appl. Artif. Intell. 151: 110577 (2025) - [j70]Mohammad Azzeh
Correction: Software effort estimation using convolutional neural network and fuzzy clustering. Neural Comput. Appl. 37(10): 7445 (2025) - 2024
- [j69]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): 240103 (2024) - [j68]Lubna Obaid
Effect of feature optimization on performance of machine learning models for predicting traffic incident duration. Eng. Appl. Artif. Intell. 131: 107845 (2024) - [j67]Aya Mousa, Ismail Shahin
Detection of Arabic offensive language in social media using machine learning models. Intell. Syst. Appl. 22: 200376 (2024) - [j66]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): 179 (2024) - [j65]Abdulrahman Mahmoud Eid
Comparative study of ML models for IIoT intrusion detection: impact of data preprocessing and balancing. Neural Comput. Appl. 36(13): 6955-6972 (2024) - [j64]Abdulrahman Mahmoud Eid
Correction: Comparative study of ML models for IIoT intrusion detection: impact of data preprocessing and balancing. Neural Comput. Appl. 36(19): 11661 (2024) - [j63]Mohammad Azzeh
Software effort estimation using convolutional neural network and fuzzy clustering. Neural Comput. Appl. 36(23): 14449-14464 (2024) - [j62]Abdulrahman Mahmoud Eid, Bassel Soudan
Enhancing intrusion detection in IIoT: optimized CNN model with multi-class SMOTE balancing. Neural Comput. Appl. 36(24): 14643-14659 (2024) - [j61]Manar Abu Talib, Ali Bou Nassif, Mohammad Azzeh, Yaser Alesh, Yaman Afadar:
Parameter-efficient fine-tuning of pre-trained code models for just-in-time defect prediction. Neural Comput. Appl. 36(27): 16911-16940 (2024) - [j60]Ali Bou Nassif
Emotional speaker identification using PCAFCM-deepforest with fuzzy logic. Neural Comput. Appl. 36(30): 18567-18581 (2024) - [j59]Ali Bou Nassif
ViT-LSTM synergy: a multi-feature approach for speaker identification and mask detection. Neural Comput. Appl. 36(35): 22569-22586 (2024) - [c48]Mohammad Ziad Mizher, Ali Bou Nassif:
Enhanced Intrusion Detection in Cloud Security by Optimizing Classification Algorithms. BDCAT 2024: 296-303 - [c47]Sam Ansari, Ali Bou Nassif, Soliman A. Mahmoud, Sohaib Majzoub, Eqab R. F. Almajali, Anwar H. Jarndal, Talal Bonny, Khawla A. Alnajjar, Abir Hussain:
Impact of Outliers on Regression and Classification Models: An Empirical Analysis. DeSE 2024: 211-218 - [c46]Noora Alkharji, Hessa Almazrouei, Shaikha Alzaabi, Ali Bou Nassif, Mariame Elsalhy, Manar Abu Talib:
Deep Learning Algorithms in Aircraft Detection and Classification: An Analytical Survey. DeSE 2024: 568-573 - [c45]Noora Alkharji, Hessa Almazrouei, Shaikha Alzaabi, Ali Bou Nassif, Mariame Elsalhy, Manar Abu Talib:
Aircraft-Type Classification Using Deep Learning Algorithms. IS 2024: 1-6 - 2023
- [j58]Shibani Hamsa
Speaker identification from emotional and noisy speech using learned voice segregation and speech VGG. Expert Syst. Appl. 224: 119871 (2023) - [j57]Mena Maurice Farag
Metaheuristic Algorithms in Optimal Power Flow Analysis: A Qualitative Systematic Review. Int. J. Artif. Intell. Tools 32(7): 2350032:1-2350032:34 (2023) - [j56]Ismail Shahin
Novel Task-Based Unification and Adaptation (TUA) Transfer Learning Approach for Bilingual Emotional Speech Data. Inf. 14(4): 236 (2023) - [j55]Abdelfatah Hassan Ahmed, Mohamed Bader, Ismail Shahin
Arabic Mispronunciation Recognition System Using LSTM Network. Inf. 14(7): 413 (2023) - [j54]Mohammad Azzeh
Examining the performance of kernel methods for software defect prediction based on support vector machine. Sci. Comput. Program. 226: 102916 (2023) - [c44]Mohamed Wed Eladham
Metaheuristic Approach for Solving the Traveling Salesman Problem with Drone. CIIS 2023: 46-51 - [c43]Khawla Saif Almazrouei
Image Scenario classification using Machine learning. CIIS 2023: 130-138 - [i48]Sidra Aslam, Ala Altaweel
Optimization Algorithms in Smart Grids: A Systematic Literature Review. CoRR abs/2301.07512 (2023) - 2022
- [j53]Osama Ahmad Alomari
Hybrid Feature Selection Based on Principal Component Analysis and Grey Wolf Optimizer Algorithm for Arabic News Article Classification. IEEE Access 10: 121816-121830 (2022) - [j52]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: 102276 (2022) - [j51]Manar Abu Talib, Qassim Nasir, Ali Bou Nassif, Takua Mokhamed
APT beaconing detection: A systematic review. Comput. Secur. 122: 102875 (2022) - [j50]Ismail Shahin
Novel dual-channel long short-term memory compressed capsule networks for emotion recognition. Expert Syst. Appl. 188: 116080 (2022) - [j49]Ali Bou Nassif, Ismail Shahin
Emotional speaker identification using a novel capsule nets model. Expert Syst. Appl. 193: 116469 (2022) - [j48]Ali Bou Nassif
Empirical Comparison between Deep and Classical Classifiers for Speaker Verification in Emotional Talking Environments. Inf. 13(10): 456 (2022) - [j47]Mohammed Baziyad
64-bit quantization: taking payload capacity of speech steganography to the limits. Multim. Tools Appl. 81(28): 40561-40579 (2022) - [j46]Ali Bou Nassif
Arabic fake news detection based on deep contextualized embedding models. Neural Comput. Appl. 34(18): 16019-16032 (2022) - [j45]Mohammad Azzeh
On the value of project productivity for early effort estimation. Sci. Comput. Program. 219: 102819 (2022) - [j44]Ali Bou Nassif
Improved Optical Flow Estimation Method for Deepfake Videos. Sensors 22(7): 2500 (2022) - [j43]Ali Bou Nassif
Empirical Evaluation of Shallow and Deep Learning Classifiers for Arabic Sentiment Analysis. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(1): 14:1-14:25 (2022) - [c42]Ali Bou Nassif
A Comprehensive Study on Machine Learning in Breast Cancer Detection and Classification. ICAAI 2022: 81-87 - [c41]Mohammad Azzeh
On Selection of Optimal Kernel Function for Software Defect Prediction. ICMLA 2022: 1761-1768 - [i47]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 abs/2201.00437 (2022) - [i46]Ali Bou Nassif, Ismail Shahin, Ashraf Elnagar, Divya Velayudhan, Adi Alhudhaif, Kemal Polat:
Emotional Speaker Identification using a Novel Capsule Nets Model. CoRR abs/2201.02994 (2022) - [i45]Ali Bou Nassif, Manar Abu Talib, Qassim Nasir, Yaman Afadar, Omar Elgendy:
Breast cancer detection using artificial intelligence techniques: A systematic literature review. CoRR abs/2203.04308 (2022) - [i44]Omar Mahdi, Ali Bou Nassif:
Transformation Invariant Cancerous Tissue Classification Using Spatially Transformed DenseNet. CoRR abs/2204.11066 (2022) - [i43]Ali Bou Nassif, Ashraf Elnagar
Arabic Fake News Detection Based on Deep Contextualized Embedding Models. CoRR abs/2205.03114 (2022) - [i42]Mohammad Azzeh, Ali Bou Nassif, Yousef Elsheikh, Lefteris Angelis:
On the Value of Project Productivity for Early Effort Estimation. CoRR abs/2205.04986 (2022) - [i41]Luiz Fernando Capretz, Saad Harous
What UAE Software Students Think about Software Testing: A Replicated Study. CoRR abs/2209.15075 (2022) - 2021
- [j42]Ali Bou Nassif
Machine Learning for Cloud Security: A Systematic Review. IEEE Access 9: 20717-20735 (2021) - [j41]Ashraf Elnagar
Systematic Literature Review of Dialectal Arabic: Identification and Detection. IEEE Access 9: 31010-31042 (2021) - [j40]Ali Bou Nassif
Machine Learning for Anomaly Detection: A Systematic Review. IEEE Access 9: 78658-78700 (2021) - [j39]MohammadNoor Injadat
Machine learning towards intelligent systems: applications, challenges, and opportunities. Artif. Intell. Rev. 54(5): 3299-3348 (2021) - [j38]Ali Bou Nassif, Ashraf Elnagar
Deep learning for Arabic subjective sentiment analysis: Challenges and research opportunities. Appl. Soft Comput. 98: 106836 (2021) - [j37]Ali Bou Nassif, Ismail Shahin
CASA-based speaker identification using cascaded GMM-CNN classifier in noisy and emotional talking conditions. Appl. Soft Comput. 103: 107141 (2021) - [j36]Ismail Shahin
Speaker identification in stressful talking environments based on convolutional neural network. Int. J. Speech Technol. 24(4): 1055-1066 (2021) - [j35]Mohammed Baziyad
Maximizing embedding capacity for speech steganography: a segment-growing approach. Multim. Tools Appl. 80(16): 24469-24490 (2021) - [j34]Ismail Shahin
Novel hybrid DNN approaches for speaker verification in emotional and stressful talking environments. Neural Comput. Appl. 33(23): 16033-16055 (2021) - [j33]Mohammad Azzeh
Predicting software effort from use case points: A systematic review. Sci. Comput. Program. 204: 102596 (2021) - [j32]Haytham Hijazi
Wearable Devices, Smartphones, and Interpretable Artificial Intelligence in Combating COVID-19. Sensors 21(24): 8424 (2021) - [j31]Mohammad Azzeh
Empirical analysis on productivity prediction and locality for use case points method. Softw. Qual. J. 29(2): 309-336 (2021) - [j30]MohammadNoor Injadat
Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection. IEEE Trans. Netw. Serv. Manag. 18(2): 1803-1816 (2021) - [c40]Noor Ahmad Al Hindawi, Ismail Shahin, Ali Bou Nassif:
Speaker Identification for Disguised Voices Based on Modified SVM Classifier. SSD 2021: 687-691 - [c39]Ashraf Elnagar
Sentiment Analysis in Dialectal Arabic: A Systematic Review. AMLTA 2021: 407-417 - [c38]Abdalkarim R. M. Seyam
Deep Learning Techniques to Detect DoS Attacks on Industrial Control Systems: A Systematic Literature Review. ArabWIC 2021: 19:1-19:6 - [c37]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: 22:1-22:5 - [c36]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: 269-273 - [c35]Ismail Shahin, Ali Bou Nassif, Mohamed Bader Alsabek:
COVID-19 Electrocardiograms Classification using CNN Models. DeSE 2021: 448-452 - [c34]Luiz Fernando Capretz, Ali Bou Nassif, Saad Harous
Perceptions about Software Testing among UAE Software Students. CHASE@ICSE 2021: 119-120 - [c33]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: 183-189 - [i40]MohammadNoor Injadat, Abdallah Moubayed, Ali Bou Nassif, Abdallah Shami:
Machine Learning Towards Intelligent Systems: Applications, Challenges, and Opportunities. CoRR abs/2101.03655 (2021) - [i39]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 abs/2102.05894 (2021) - [i38]Mohammad Azzeh, Ali Bou Nassif, Cuauhtémoc López Martín:
Empirical Analysis on Productivity Prediction and Locality for Use Case Points Method. CoRR abs/2102.05961 (2021) - [i37]Sonia Meskini, Ali Bou Nassif, Luiz Fernando Capretz:
Reliability Models for Smartphone Applications. CoRR abs/2111.06840 (2021) - [i36]Ali Bou Nassif, Abdollah Masoud Darya, Ashraf Elnagar:
Empirical evaluation of shallow and deep learning classifiers for Arabic sentiment analysis. CoRR abs/2112.00534 (2021) - [i35]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 abs/2112.01293 (2021) - [i34]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 abs/2112.07940 (2021) - [i33]Ismail Shahin, Ali Bou Nassif, Mohamed Bader Alsabek:
COVID-19 Electrocardiograms Classification using CNN Models. CoRR abs/2112.08931 (2021) - [i32]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 abs/2112.13350 (2021) - [i31]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 abs/2112.13353 (2021) - 2020
- [j29]MohammadNoor Injadat
Multi-split optimized bagging ensemble model selection for multi-class educational data mining. Appl. Intell. 50(12): 4506-4528 (2020) - [j28]Mohammed Lataifeh
Arabic audio clips: Identification and discrimination of authentic Cantillations from imitations. Neurocomputing 418: 162-177 (2020) - [j27]Cuauhtémoc López Martín
Transformed k-nearest neighborhood output distance minimization for predicting the defect density of software projects. J. Syst. Softw. 167: 110592 (2020) - [j26]MohammadNoor Injadat
Systematic ensemble model selection approach for educational data mining. Knowl. Based Syst. 200: 105992 (2020) - [j25]Ismail Shahin
Novel cascaded Gaussian mixture model-deep neural network classifier for speaker identification in emotional talking environments. Neural Comput. Appl. 32(7): 2575-2587 (2020) - [c32]Yaman Afadar, Ali Bou Nassif, Maha Alaa Eddin, Manar AbuTalib, Qassim Nasir:
Heart Arrhythmia Abnormality Classification Using Machine Learning. CCCI 2020: 1-5 - [c31]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: 1-5 - [c30]Dina Jamal Hejji, Ali Bou Nassif, Qassim Nasir, Manar AbuTalib:
Systematic Literature Review: Metaheuristics-based Approach for Workflow Scheduling in Cloud. CCCI 2020: 1-5 - [c29]Aya Mousa, Ismail Shahin, Ali Bou Nassif, Ashraf Elnagar
Cascaded RBF-CBiLSTM for Arabic Named Entity Recognition. CCCI 2020: 1-5 - [c28]Ali Bou Nassif, Manar AbuTalib, Luiz Fernando Capretz:
Software Effort Estimation from Use Case Diagrams Using Nonlinear Regression Analysis. CCECE 2020: 1-4 - [c27]Hamza Ghandorh, Abdulfattah Noorwali, Ali Bou Nassif, Luiz Fernando Capretz, Roy Eagleson:
A Systematic Literature Review for Software Portability Measurement: Preliminary Results. ICSCA 2020: 152-157 - [i30]Mariam AlAbboudi, Maitha Majed, Fatima Hassan, Ali Bou Nassif:
EEG Wheelchair for People of Determination. CoRR abs/2001.06229 (2020) - [i29]Ali Bou Nassif, Manar AbuTalib, Luiz Fernando Capretz:
Software Effort Estimation from Use Case Diagrams Using Nonlinear Regression Analysis. CoRR abs/2003.09873 (2020) - [i28]MohammadNoor Injadat, Abdallah Moubayed, Ali Bou Nassif, Abdallah Shami:
Systematic Ensemble Model Selection Approach for Educational Data Mining. CoRR abs/2005.06647 (2020) - [i27]Fadi Salo, MohammadNoor Injadat
Data Mining with Big Data in Intrusion Detection Systems: A Systematic Literature Review. CoRR abs/2005.12267 (2020) - [i26]MohammadNoor Injadat, Abdallah Moubayed, Ali Bou Nassif, Abdallah Shami:
Multi-split Optimized Bagging Ensemble Model Selection for Multi-class Educational Data Mining. CoRR abs/2006.05031 (2020) - [i25]MohammadNoor Injadat, Fadi Salo, Ali Bou Nassif, Aleksander Essex, Abdallah Shami:
Bayesian Optimization with Machine Learning Algorithms Towards Anomaly Detection. CoRR abs/2008.02327 (2020) - [i24]MohammadNoor Injadat, Abdallah Moubayed, Ali Bou Nassif, Abdallah Shami:
Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection. CoRR abs/2008.03297 (2020) - [i23]Mohammad Azzeh, Ali Bou Nassif, Imtinan Basem Attili:
Predicting Software Effort from Use Case Points: A Systematic Review. CoRR abs/2012.07005 (2020)
2010 – 2019
- 2019
- [j24]Ali Bou Nassif
Speech Recognition Using Deep Neural Networks: A Systematic Review. IEEE Access 7: 19143-19165 (2019) - [j23]Ismail Shahin
Emotion Recognition Using Hybrid Gaussian Mixture Model and Deep Neural Network. IEEE Access 7: 26777-26787 (2019) - [j22]Ali Bou Nassif
Software Development Effort Estimation Using Regression Fuzzy Models. Comput. Intell. Neurosci. 2019: 8367214:1-8367214:17 (2019) - [j21]Fadi Salo
Dimensionality reduction with IG-PCA and ensemble classifier for network intrusion detection. Comput. Networks 148: 164-175 (2019) - [c26]Mohammed Baziyad, Ali Bou Nassif, Tamer Rabie, Raouf Fareh:
Comparative Study on the Performance of Heuristic Optimization Techniques in Robotic Path Planning. ICAAI 2019: 157-161 - [c25]Fadi Salo, MohammadNoor Injadat
Clustering Enabled Classification using Ensemble Feature Selection for Intrusion Detection. ICNC 2019: 276-281 - [c24]Rifat A. Hamoudi, Meriem Bettayeb
Identifying Patterns of Breast Cancer Genetic Signatures using Unsupervised Machine Learning. IST 2019: 1-6 - [c23]Sonia Meskini, Ali Bou Nassif, Luiz Fernando Capretz:
Can We Rely on Smartphone Applications? TOOLS 2019: 305-312 - [i22]Cuauhtémoc López Martín, Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan:
v-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects. CoRR abs/1901.03362 (2019) - [i21]Ali Bou Nassif, Mohammad Azzeh, Ali Idri, Alain Abran:
Software Development Effort Estimation Using Regression Fuzzy Models. CoRR abs/1902.03608 (2019) - [i20]Ismail Shahin, Ali Bou Nassif:
Emirati-Accented Speaker Identification in Stressful Talking Conditions. CoRR abs/1909.13070 (2019) - [i19]Ismail Shahin, Ali Bou Nassif:
Speaker Verification in Emotional Talking Environments based on Third-Order Circular Suprasegmental Hidden Markov Model. CoRR abs/1909.13244 (2019) - [i18]Sonia Meskini, Ali Bou Nassif, Luiz Fernando Capretz:
Can we rely on smartphone applications? CoRR abs/1910.02452 (2019) - 2018
- [j20]Abdallah Moubayed
E-Learning: Challenges and Research Opportunities Using Machine Learning & Data Analytics. IEEE Access 6: 39117-39138 (2018) - [j19]Fadi Salo
Data Mining Techniques in Intrusion Detection Systems: A Systematic Literature Review. IEEE Access 6: 56046-56058 (2018) - [j18]Mohammad Azzeh
Comparative analysis of soft computing techniques for predicting software effort based use case points. IET Softw. 12(1): 19-29 (2018) - [j17]Ismail Shahin
Emirati-accented speaker identification in each of neutral and shouted talking environments. Int. J. Speech Technol. 21(2): 265-278 (2018) - [j16]Ismail Shahin
Three-stage speaker verification architecture in emotional talking environments. Int. J. Speech Technol. 21(4): 915-930 (2018) - [j15]Qassim Nasir
Performance Analysis of Hyperledger Fabric Platforms. Secur. Commun. Networks 2018: 3976093:1-3976093:14 (2018) - [j14]Mohammad Azzeh
Project productivity evaluation in early software effort estimation. J. Softw. Evol. Process. 30(12) (2018) - [j13]Mohamed Hosni
On the value of parameter tuning in heterogeneous ensembles effort estimation. Soft Comput. 22(18): 5977-6010 (2018) - [c22]MohammadNoor Injadat
Bayesian Optimization with Machine Learning Algorithms Towards Anomaly Detection. GLOBECOM 2018: 1-6 - [c21]Cuauhtémoc López Martín, Mohammad Azzeh
Upsilon-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects. ICMLA 2018: 1377-1382 - [c20]Mohammad Azzeh
Ensemble of Learning Project Productivity in Software Effort Based on Use Case Points. ICMLA 2018: 1427-1431 - [i17]Ismail Shahin, Ali Bou Nassif, Mohammed N. Ba-Hutair:
Emirati-Accented Speaker Identification in each of Neutral and Shouted Talking Environments. CoRR abs/1804.00981 (2018) - [i16]Ismail Shahin, Ali Bou Nassif:
Three-Stage Speaker Verification Architecture in Emotional Talking Environments. CoRR abs/1809.01721 (2018) - [i15]Ismail Shahin, Ali Bou Nassif, Shibani Hamsa:
Novel Cascaded Gaussian Mixture Model-Deep Neural Network Classifier for Speaker Identification in Emotional Talking Environments. CoRR abs/1810.04908 (2018) - [i14]Ali Bou Nassif, Omar Mahdi, Qassim Nasir, Manar AbuTalib, Mohammad Azzeh:
Machine Learning Classifications of Coronary Artery Disease. CoRR abs/1812.02828 (2018) - [i13]Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan, Cuauhtémoc López Martín:
Ensemble of Learning Project Productivity in Software Effort Based on Use Case Points. CoRR abs/1812.06459 (2018) - 2017
- [j12]Cuauhtémoc López Martín, Ali Bou Nassif
A training process for improving the quality of software projects developed by a practitioner. J. Syst. Softw. 131: 98-111 (2017) - [j11]Mohammad Azzeh
Analyzing the relationship between project productivity and environment factors in the use case points method. J. Softw. Evol. Process. 29(9) (2017) - [c19]Ali Bou Nassif
Robust Rank Aggregation method for Case-Base effort estimation. CCECE 2017: 1-5 - [i12]Mohammad Azzeh, Ali Bou Nassif, Shadi Banitaan, Fadi Almasalha:
Pareto Efficient Multi Objective Optimization for Local Tuning of Analogy Based Estimation. CoRR abs/1701.01675 (2017) - [i11]Mohammad Azzeh, Ali Bou Nassif:
Analogy-based effort estimation: a new method to discover set of analogies from dataset characteristics. CoRR abs/1703.04564 (2017) - [i10]Mohammad Azzeh, Ali Bou Nassif:
Fuzzy Model Tree For Early Effort Estimation. CoRR abs/1703.04565 (2017) - [i9]Mohammad Azzeh, Ali Bou Nassif, Leandro L. Minku:
An empirical evaluation of ensemble adjustment methods for analogy-based effort estimation. CoRR abs/1703.04568 (2017) - [i8]Mohammad Azzeh, Ali Bou Nassif:
Analyzing the Relationship between Project Productivity and Environment Factors in the Use Case Points Method. CoRR abs/1705.09920 (2017) - [i7]Cuauhtémoc López Martín, Ali Bou Nassif, Alain Abran:
A training process for improving the quality of software projects developed by a practitioner. CoRR abs/1705.10093 (2017) - 2016
- [j10]Cagatay Catal
Special Issue: Soft computing in software engineering. Appl. Soft Comput. 49: 953-955 (2016) - [j9]Mohammad Azzeh
A hybrid model for estimating software project effort from Use Case Points. Appl. Soft Comput. 49: 981-989 (2016) - [j8]MohammadNoor Injadat
Data mining techniques in social media: A survey. Neurocomputing 214: 654-670 (2016) - [j7]Ali Bou Nassif
Guest editorial: special issue on predictive analytics using machine learning. Neural Comput. Appl. 27(8): 2153-2155 (2016) - [j6]Mohammad Azzeh
Pareto efficient multi-objective optimization for local tuning of analogy-based estimation. Neural Comput. Appl. 27(8): 2241-2265 (2016) - [j5]Ali Bou Nassif
Neural network models for software development effort estimation: a comparative study. Neural Comput. Appl. 27(8): 2369-2381 (2016) - [c18]Shadi Banitaan, Mohammad Azzeh
User Movement Prediction: The Contribution of Machine Learning Techniques. ICMLA 2016: 571-575 - [i6]Mohammad Azzeh, Ali Bou Nassif:
A Hybrid Model for Estimating Software Project Effort from Use Case Points. CoRR abs/1610.02517 (2016) - [i5]Ali Bou Nassif, Mohammad Azzeh, Luiz Fernando Capretz, Danny Ho:
Neural Network Models for Software Development Effort Estimation: A Comparative Study. CoRR abs/1611.09934 (2016) - [i4]Ali Bou Nassif, Luiz Fernando Capretz, Danny Ho:
Enhancing Use Case Points Estimation Method Using Soft Computing Techniques. CoRR abs/1612.01078 (2016) - 2015
- [j4]Mohammad Azzeh
Analogy-based effort estimation: a new method to discover set of analogies from dataset characteristics. IET Softw. 9(2): 39-50 (2015) - [j3]Mohammad Azzeh
An empirical evaluation of ensemble adjustment methods for analogy-based effort estimation. J. Syst. Softw. 103: 36-52 (2015) - [c17]Shadi Banitaan, Ali Bou Nassif
Class Decomposition Using K-Means and Hierarchical Clustering. ICMLA 2015: 1263-1267 - [c16]Mohammad Azzeh
An Application of Classification and Class Decomposition to Use Case Point Estimation Method. ICMLA 2015: 1268-1271 - [c15]Hamza Ghandorh, Luiz Fernando Capretz, Ali Bou Nassif
In Need of a Domain-Specific Language Modeling Notation for Smartphone Applications with Portable Capability. MobiWIS 2015: 218-227 - [i3]Ali Bou Nassif, Mohammad Azzeh, Luiz Fernando Capretz, Danny Ho:
A Comparison Between Decision Trees and Decision Tree Forest Models for Software Development Effort Estimation. CoRR abs/1508.07275 (2015) - [i2]Wei Lin Du, Luiz Fernando Capretz, Ali Bou Nassif, Danny Ho:
A Hybrid Intelligent Model for Software Cost Estimation. CoRR abs/1512.00306 (2015) - 2014
- [c14]Ali Bou Nassif
A Better Case Adaptation Method for Case-Based Effort Estimation Using Multi-objective Optimization. ICMLA 2014: 409-414 - [c13]Ali Bou Nassif
Calibrating use case points. ICSE Companion 2014: 612-613 - [i1]Ali Bou Nassif, Luiz Fernando Capretz, Danny Ho:
Analyzing the Non-Functional Requirements in the Desharnais Dataset for Software Effort Estimation. CoRR abs/1405.1131 (2014) - 2013
- [j2]Wei Lin Du, Luiz Fernando Capretz, Ali Bou Nassif
A Hybrid Intelligent Model for Software Cost estimation. J. Comput. Sci. 9(11): 1506-1513 (2013) - [j1]Ali Bou Nassif
Towards an early software estimation using log-linear regression and a multilayer perceptron model. J. Syst. Softw. 86(1): 144-160 (2013) - [c12]Osama T. Ali, Ali Bou Nassif
Business intelligence solutions in healthcare a case study: Transforming OLTP system to BI solution. ICCIT 2013: 209-214 - [c11]Ali Bou Nassif
A comparison between decision trees and decision tree forest models for software development effort estimation. ICCIT 2013: 220-224 - [c10]Mohammad Azzeh
Fuzzy Model Tree for Early Effort Estimation. ICMLA (2) 2013: 117-121 - [c9]Sonia Meskini, Ali Bou Nassif
Reliability Prediction of Smartphone Applications through Failure Data Analysis. PRDC 2013: 124-125 - [c8]Sonia Meskini, Ali Bou Nassif
Reliability Models Applied to Mobile Applications. SERE (Companion) 2013: 155-162 - 2012
- [c7]Ali Bou Nassif
Estimating Software Effort Using an ANN Model Based on Use Case Points. ICMLA (2) 2012: 42-47 - [c6]Ali Bou Nassif
A Treeboost Model for Software Effort Estimation Based on Use Case Points. ICMLA (2) 2012: 314-319 - [c5]Ekananta Manalif, Luiz Fernando Capretz, Ali Bou Nassif
Fuzzy-ExCOM Software Project Risk Assessment. ICMLA (2) 2012: 320-325 - [c4]Ali Bou Nassif
Software Effort Estimation in the Early Stages of the Software Life Cycle Using a Cascade Correlation Neural Network Model. SNPD 2012: 589-594 - 2011
- [c3]Ali Bou Nassif, Hanan Lutfiyya:
Measuring the Usage of SaaS Applications based on Utilized Features. CLOSER 2011: 452-459 - [c2]Ali Bou Nassif
Estimating Software Effort Based on Use Case Point Model Using Sugeno Fuzzy Inference System. ICTAI 2011: 393-398 - 2010
- [c1]Ali Bou Nassif
Moving from SaaS Applications towards SOA Services. SERVICES 2010: 187-188
Coauthor Index
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