Arabian Gulf Development Internet and Innovation Dynamics. - Sadiq Hussain; Zain Tahboob (Asia International Conference on Modelling and Simulation, 2007)

Educational data mining using jmp. - Sadiq Hussain; G. C. Hazarika (CoRR, 2014)

Classification, Clustering and Association Rule Mining in Educational Datasets Using Data Mining Tools: A Case Study. - Sadiq Hussain; Rasha Ragheb Atallah; Amirrudin Kamsin; Jiten Hazarika (CSOC (3), 2018)

Mining Moodle Data to Detect the Inactive and Low-performance Students during the Moodle Course. - Mushtaq Hussain; Sadiq Hussain; Wu Zhang; Wenhao Zhu; Paraskevi Theodorou; Syed Muhammad Raza Abidi (ICBDR, 2018)

Student Academics Performance. - Sadiq Hussain (UCI Machine Learning Repository, 2018)

Performance Improvement of Decision Trees for Diagnosis of Coronary Artery Disease Using Multi Filtering Approach. - Moloud Abdar; Elham Nasarian; Xujuan Zhou; Ghazal Bargshady; Vivi Nur Wijayaningrum; Sadiq Hussain (ICCCS, 2019)

Prediction Model on Student Performance based on Internal Assessment using Deep Learning. - Sadiq Hussain; Zahraa Fadhil Muhsion; Yass Khudheir Salal; Paraskevi Theodorou; Fikriye Kurtoglu; G. C. Hazarika (Int. J. Emerg. Technol. Learn., 2019)

IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment. - Moloud Abdar; Vivi Nur Wijayaningrum; Sadiq Hussain; Roohallah Alizadehsani; Pawel Plawiak; U. Rajendra Acharya; Vladimir Makarenkov (J. Medical Syst., 2019)

Material Recognition for Automated Progress Monitoring using Deep Learning Methods. - Navid Ghassemi; Hadi Mahami; Mohammad Tayarani Darbandi; Afshin Shoeibi; Sadiq Hussain; Farnad Nasirzadeh; Roohallah Alizadehsani; Darius Nahavandi; Abbas Khosravi; Saeid Nahavandi (CoRR, 2020)

Epileptic seizure detection using deep learning techniques: A Review. - Afshin Shoeibi; Navid Ghassemi; Marjane Khodatars; Mahboobeh Jafari; Sadiq Hussain; Roohallah Alizadehsani; Parisa Moridian; Abbas Khosravi; Hossein Hosseini-Nejad; Modjtaba Rouhani; Assef Zare; Ali Khadem; et al. (CoRR, 2020)

Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review. - Marjane Khodatars; Afshin Shoeibi; Navid Ghassemi; Mahboobeh Jafari; Ali Khadem; Delaram Sadeghi; Parisa Moridian; Sadiq Hussain; Roohallah Alizadehsani; Assef Zare; Abbas Khosravi; Saeid Nahavandi; et al. (CoRR, 2020)

Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review. - Afshin Shoeibi; Marjane Khodatars; Roohallah Alizadehsani; Navid Ghassemi; Mahboobeh Jafari; Parisa Moridian; Ali Khadem; Delaram Sadeghi; Sadiq Hussain; Assef Zare; Zahra Alizadeh Sani; Javad Bazeli; et al. (CoRR, 2020)

Mining Smart Learning Analytics Data Using Ensemble Classifiers. - Samina Kausar; Solomon Sunday Oyelere; Yass Khudheir Salal; Sadiq Hussain; Mehmet Akif Cifci; Slavoljub Hilcenko; Muhammad Shahid Iqbal; Wenhao Zhu; Huahu Xu (Int. J. Emerg. Technol. Learn., 2020)

Exploring Student Academic Performance Using Data Mining Tools. - Ranjit Paul; Silvia Gaftandzhieva; Samina Kausar; Sadiq Hussain; Rositsa Doneva; A. K. Baruah (Int. J. Emerg. Technol. Learn., 2020)

Analyzing Student Performance in Programming Education Using Classification Techniques. - Kissinger Sunday; Patrick Ocheja; Sadiq Hussain; Solomon Sunday Oyelere; Balogun Oluwafemi Samson; Joseph Friday Agbo (Int. J. Emerg. Technol. Learn., 2020)

Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach. - Elham Nasarian; Moloud Abdar; Mohammad Amin Fahami; Roohallah Alizadehsani; Sadiq Hussain; Mohammad Ehsan Basiri; Mariam Zomorodi Moghadam; Xujuan Zhou; Pawel Plawiak; U. Rajendra Acharya; Ru-San Tan; Nizal Sarrafzadegan (Pattern Recognit. Lett., 2020)

EAOA: An Enhanced Archimedes Optimization Algorithm for Feature Selection in Classification. - Abeer S. Desuky; Sadiq Hussain; Samina Kausar; Md. Akhtarul Islam; Lamiaa M. El Bakrawy (IEEE Access, 2021)

Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images. - Danial Sharifrazi; Roohallah Alizadehsani; Mohamad Roshanzamir; Javad Hassannataj Joloudari; Afshin Shoeibi; Mahboobeh Jafari; Sadiq Hussain; Zahra Alizadeh Sani; Fereshteh Hasanzadeh; Fahime Khozeimeh; Abbas Khosravi; Saeid Nahavandi; et al. (Biomed. Signal Process. Control., 2021)

Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review. - Marjane Khodatars; Afshin Shoeibi; Delaram Sadeghi; Navid Ghaasemi; Mahboobeh Jafari; Parisa Moridian; Ali Khadem; Roohallah Alizadehsani; Assef Zare; Yinan Kong; Abbas Khosravi; Saeid Nahavandi; et al. (Comput. Biol. Medicine, 2021)

Uncertainty-Aware Semi-supervised Method using Large Unlabelled and Limited Labeled COVID-19 Data. - Roohallah Alizadehsani; Danial Sharifrazi; Navid Hosseini Izadi; Javad Hassannataj Joloudari; Afshin Shoeibi; Juan Manuel Górriz; Sadiq Hussain; Juan Eloy Arco; Zahra Alizadeh Sani; Fahime Khozeimeh; Abbas Khosravi; Saeid Nahavandi; et al. (CoRR, 2021)

CNN AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID 19 patients. - Fahime Khozeimeh; Danial Sharifrazi; Navid Hosseini Izadi; Javad Hassannataj Joloudari; Afshin Shoeibi; Roohallah Alizadehsani; Juan Manuel Górriz; Sadiq Hussain; Zahra Alizadeh Sani; Hossein Moosaei; Abbas Khosravi; Saeid Nahavandi; et al. (CoRR, 2021)

UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion with Ensemble Monte Carlo Dropout for COVID-19 Detection. - Moloud Abdar; Soorena Salari; Sina Qahremani; Hak-Keung Lam; Fakhri Karray; Sadiq Hussain; Abbas Khosravi; U. Rajendra Acharya; Saeid Nahavandi (CoRR, 2021)

Regression analysis of student academic performance using deep learning. - Sadiq Hussain; Silvia Gaftandzhieva; Md. Maniruzzaman; Rositsa Doneva; Zahraa Fadhil Muhsin (Educ. Inf. Technol., 2021)

A review of uncertainty quantification in deep learning: Techniques, applications and challenges. - Moloud Abdar; Farhad Pourpanah; Sadiq Hussain; Dana Rezazadegan; Li Liu 002; Mohammad Ghavamzadeh; Paul W. Fieguth; Xiaochun Cao; Abbas Khosravi; U. Rajendra Acharya; Vladimir Makarenkov; Saeid Nahavandi (Inf. Fusion, 2021)

Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data. - Roohallah Alizadehsani; Danial Sharifrazi; Navid Hoseini Izadi; Javad Hassannataj Joloudari; Afshin Shoeibi; Juan Manuel Górriz; Sadiq Hussain; Juan Eloy Arco; Zahra Alizadeh Sani; Fahime Khozeimeh; Abbas Khosravi; Saeid Nahavandi; et al. (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Mud Ring Algorithm: A New Meta-Heuristic Optimization Algorithm for Solving Mathematical and Engineering Challenges. - Abeer S. Desuky; Mehmet Akif Cifci; Samina Kausar; Sadiq Hussain; Lamiaa M. El Bakrawy (IEEE Access, 2022)

Single-Point Crossover and Jellyfish Optimization for Handling Imbalanced Data Classification Problem. - Abeer S. Desuky; Yomna M. Elbarawy; Samina Kausar; Asmaa Hekal Omar; Sadiq Hussain (IEEE Access, 2022)

A Modified Ant Lion Optimization Method and Its Application for Instance Reduction Problem in Balanced and Imbalanced Data. - Lamiaa M. El Bakrawy; Mehmet Akif Cifci; Samina Kausar; Sadiq Hussain; Md. Akhtarul Islam; Bilal Alatas; Abeer S. Desuky (Axioms, 2022)

BERT-Deep CNN: State-of-the-Art for Sentiment Analysis of COVID-19 Tweets. - Javad Hassannataj Joloudari; Sadiq Hussain; Mohammad Ali Nematollahi; Rouhollah Bagheri; Fatemeh Fazl; Roohallah Alizadehsani; Reza Lashgari (CoRR, 2022)

Adaptive Blind Color Image Watermarking Approach using BRISK Features Based on Contour Transform and Convolutional Neural Network. - S. Prasanth Vaidya 001; Chandra Mouli P. V. S. S. R.; Kandala N. V. P. S. Rajesh; Silvia Gaftandzhieva; Rositsa Doneva; Sadiq Hussain (CompSysTech, 2023)

A Brief Review of Explainable Artificial Intelligence in Healthcare. - Zahra Sadeghi; Roohallah Alizadehsani; Mehmet Akif Cifci; Samina Kausar; Rizwan Rehman; Priyakshi Mahanta; Pranjal Kumar Bora; Ammar Almasri; Rami S. Alkhawaldeh; Sadiq Hussain; Bilal Alatas; Afshin Shoeibi; et al. (CoRR, 2023)

A Hybrid Deep Spatio-Temporal Attention-Based Model for Parkinson's Disease Diagnosis Using Resting State EEG Signals. - Niloufar Delfan; Mohammadreza Shahsavari; Sadiq Hussain; Robertas Damasevicius; U. Rajendra Acharya (CoRR, 2023)

Explainable Artificial Intelligence for Drug Discovery and Development - A Comprehensive Survey. - Roohallah Alizadehsani; Sadiq Hussain; Rene Ripardo Calixto; Victor Hugo C. de Albuquerque; Mohamad Roshanzamir; Mohamed Rahouti; Senthil Kumar Jagatheesaperumal (CoRR, 2023)

UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection. - Moloud Abdar; Soorena Salari; Sina Qahremani; Hak-Keung Lam; Fakhri Karray; Sadiq Hussain; Abbas Khosravi; U. Rajendra Acharya; Vladimir Makarenkov; Saeid Nahavandi (Inf. Fusion, 2023)

Identification of Clinical Features Associated with Mortality in COVID-19 Patients. - Rahimeh Eskandarian; Roohallah Alizadehsani; Mohaddeseh Behjati; Mehrdad Zahmatkesh; Zahra Alizadeh Sani; Azadeh Haddadi; Kourosh Kakhi; Mohamad Roshanzamir; Afshin Shoeibi; Sadiq Hussain; Fahime Khozeimeh; Mohammad Tayarani Darbandy; et al. (Oper. Res. Forum, 2023)

BERT-deep CNN: state of the art for sentiment analysis of COVID-19 tweets. - Javad Hassannataj Joloudari; Sadiq Hussain; Mohammad Ali Nematollahi; Rouhollah Bagheri; Fatemeh Fazl; Roohallah Alizadehsani; Reza Lashgari; Ashis Talukder (Soc. Netw. Anal. Min., 2023)

Explainable Artificial Intelligence for Drug Discovery and Development: A Comprehensive Survey. - Roohallah Alizadehsani; Solomon Sunday Oyelere; Sadiq Hussain; Senthil Kumar Jagatheesaperumal; Rene Ripardo Calixto; Mohamed Rahouti; Mohamad Roshanzamir; Victor Hugo C. de Albuquerque (IEEE Access, 2024)

Parameter Optimization Based Mud Ring Algorithm for Improving the Maternal Health Risk Prediction. - Abeer S. Desuky; Sadiq Hussain; Mehmet Akif Cifci; Lamiaa M. El Bakrawy; Olfa Mzoughi; Naoufel Kraiem (IEEE Access, 2024)

A review of Explainable Artificial Intelligence in healthcare. - Zahra Sadeghi; Roohallah Alizadehsani; Mehmet Akif Cifci; Samina Kausar; Rizwan Rehman; Priyakshi Mahanta; Pranjal Kumar Bora; Ammar Almasri; Rami S. Alkhawaldeh; Sadiq Hussain; Bilal Alatas; Afshin Shoeibi; et al. (Comput. Electr. Eng., 2024)

Progress and trends in neurological disorders research based on deep learning. - Muhammad Shahid Iqbal; Md Belal Bin Heyat; Saba Parveen; Mohd Ammar Bin Hayat; Mohamad Roshanzamir; Roohallah Alizadehsani; Faijan Akhtar; Eram Sayeed; Sadiq Hussain; Hany S. Hussein; Mohamad Sawan (Comput. Medical Imaging Graph., 2024)

Design of TAM-based framework for credibility and trend analysis in sharing economy: Behavioral intention and user experience on Airbnb as an instance. - Yenjou Wang; Jason C. Hung; Chun-Hong Huang; Sadiq Hussain; Neil Y. Yen; Qun Jin (Comput. Sci. Inf. Syst., 2024)

Automated detection and forecasting of COVID-19 using deep learning techniques: A review. - Afshin Shoeibi; Marjane Khodatars; Mahboobeh Jafari; Navid Ghassemi; Delaram Sadeghi; Parisa Moridian; Ali Khadem; Roohallah Alizadehsani; Sadiq Hussain; Assef Zare; Zahra Alizadeh Sani; Fahime Khozeimeh; et al. (Neurocomputing, 2024)

An adaptive ensemble deep learning framework for reliable detection of pandemic patients. - Muhammad Shahid Iqbal; Rizwan Ali Naqvi; Roohallah Alizadehsani; Sadiq Hussain; Syed Atif Moqurrab; Seung-Won Lee (Comput. Biol. Medicine, 2024)

Deep learning for personalized health monitoring and prediction: A review. - Robertas Damasevicius; Senthil Kumar Jagatheesaperumal; Rajesh N. V. P. S. Kandala; Sadiq Hussain; Roohallah Alizadehsani; Juan Manuel Górriz (Comput. Intell., 2024)

A Hybrid Deep Spatiotemporal Attention-Based Model for Parkinson's Disease Diagnosis Using Resting State EEG Signals. - Niloufar Delfan; Mohammadreza Shahsavari; Sadiq Hussain; Robertas Damasevicius; U. Rajendra Acharya (Int. J. Imaging Syst. Technol., 2024)

Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991-2020). - Roohallah Alizadehsani; Mohamad Roshanzamir; Sadiq Hussain; Abbas Khosravi; Afsaneh Koohestani; Mohammad Hossein Zangooei; Moloud Abdar; Adham Beykikhoshk; Afshin Shoeibi; Assef Zare; Maryam Panahiazar; Saeid Nahavandi; et al. (Ann. Oper. Res., 2024)

Detecting Urdu COVID-19 misinformation using transfer learning. - Anbar Hussain; Awais Khan Nawabi; Mahmood Alam; Muhammad Shahid Iqbal; Sadiq Hussain (Soc. Netw. Anal. Min., 2024)

Optical-Flow Based Symmetric Feature Extraction for Facial Expression Recognition. - Mohammad Ali Zeraatkar; Javad Hassannataj Joloudari; Kandala N. V. P. S. Rajesh; Silvia Gaftandzhieva; Sadiq Hussain (Inf. Technol. Control., 2025)

Educational data mining: a 10-year review. - Emi Kalita; Solomon Sunday Oyelere; Silvia Gaftandzhieva; Kandala N. V. P. S. Rajesh; Senthil Kumar Jagatheesaperumal; Asmaa Mohamed; Yomna M. Elbarawy; Abeer S. Desuky; Sadiq Hussain; Mehmet Akif Cifci; Paraskevi Theodorou; Slavoljub Hilcenko; et al. (Discov. Comput., 2025)

LSTM-SHAP based academic performance prediction for disabled learners in virtual learning environments: a statistical analysis approach. - Emi Kalita; Houssam El Aouifi; Ashima Kukkar; Sadiq Hussain; Nazar T. Ali; Silvia Gaftandzhieva (Soc. Netw. Anal. Min., 2025)