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ORCIDSadiq Hussain
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2020 – today
- 2024
[j28]Roohallah Alizadehsani
, Solomon Sunday Oyelere, Sadiq Hussain, Senthil Kumar Jagatheesaperumal, Rene Ripardo Calixto, Mohamed Rahouti, Mohamad Roshanzamir, Victor Hugo C. de Albuquerque:
Explainable Artificial Intelligence for Drug Discovery and Development: A Comprehensive Survey. IEEE Access 12: 35796-35812 (2024)- [j27]Abeer S. Desuky, Sadiq Hussain, Mehmet Akif Cifci, Lamiaa M. El Bakrawy, Olfa Mzoughi, Naoufel Kraiem:
Parameter Optimization Based Mud Ring Algorithm for Improving the Maternal Health Risk Prediction. IEEE Access 12: 167245-167261 (2024) - [j26]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, Dipti Srinivasan, Amir F. Atiya, U. Rajendra Acharya:
Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991-2020). Ann. Oper. Res. 339(3): 1077-1118 (2024) - [j25]Muhammad Shahid Iqbal, Rizwan Ali Naqvi, Roohallah Alizadehsani, Sadiq Hussain, Syed Atif Moqurrab, Seung-Won Lee:
An adaptive ensemble deep learning framework for reliable detection of pandemic patients. Comput. Biol. Medicine 168: 107836 (2024) - [j24]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, Hossein Moosaei, Milan Hladík, Saeid Nahavandi, Panos M. Pardalos:
A review of Explainable Artificial Intelligence in healthcare. Comput. Electr. Eng. 118: 109370 (2024) - [j23]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:
Progress and trends in neurological disorders research based on deep learning. Comput. Medical Imaging Graph. 116: 102400 (2024) - [j22]Yenjou Wang, Jason C. Hung, Chun-Hong Huang, Sadiq Hussain, Neil Y. Yen, Qun Jin:
Design of TAM-based framework for credibility and trend analysis in sharing economy: Behavioral intention and user experience on Airbnb as an instance. Comput. Sci. Inf. Syst. 21(2): 547-568 (2024) - [j21]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, Saeid Nahavandi, U. Rajendra Acharya, Juan Manuel Górriz:
Automated detection and forecasting of COVID-19 using deep learning techniques: A review. Neurocomputing 577: 127317 (2024) - [j20]Niloufar Delfan, Mohammadreza Shahsavari, Sadiq Hussain, Robertas Damasevicius, U. Rajendra Acharya:
A Hybrid Deep Spatiotemporal Attention-Based Model for Parkinson's Disease Diagnosis Using Resting State EEG Signals. Int. J. Imaging Syst. Technol. 34(4) (2024) - [j19]Anbar Hussain, Awais Khan Nawabi, Mahmood Alam, Muhammad Shahid Iqbal, Sadiq Hussain:
Detecting Urdu COVID-19 misinformation using transfer learning. Soc. Netw. Anal. Min. 14(1): 143 (2024) - 2023
- [j18]Moloud Abdar, Soorena Salari, Sina Qahremani, Hak-Keung Lam, Fakhri Karray, Sadiq Hussain, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi:
UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection. Inf. Fusion 90: 364-381 (2023) - [j17]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, Javad Hassannataj Joloudari, Reza Lashgari, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam:
Identification of Clinical Features Associated with Mortality in COVID-19 Patients. Oper. Res. Forum 4(1) (2023) - [j16]Javad Hassannataj Joloudari, Sadiq Hussain, Mohammad Ali Nematollahi, Rouhollah Bagheri, Fatemeh Fazl, Roohallah Alizadehsani, Reza Lashgari, Ashis Talukder:
BERT-deep CNN: state of the art for sentiment analysis of COVID-19 tweets. Soc. Netw. Anal. Min. 13(1): 99 (2023) - [c5]S. Prasanth Vaidya, Chandra Mouli P. V. S. S. R., Kandala N. V. P. S. Rajesh, Silvia Gaftandzhieva, Rositsa Doneva, Sadiq Hussain:
Adaptive Blind Color Image Watermarking Approach using BRISK Features Based on Contour Transform and Convolutional Neural Network. CompSysTech 2023: 93-99 - [i15]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, Hossein Moosaei, Milan Hladík, Saeid Nahavandi, Panos M. Pardalos:
A Brief Review of Explainable Artificial Intelligence in Healthcare. CoRR abs/2304.01543 (2023) - [i14]Niloufar Delfan, Mohammadreza Shahsavari, Sadiq Hussain, Robertas Damasevicius, U. Rajendra Acharya:
A Hybrid Deep Spatio-Temporal Attention-Based Model for Parkinson's Disease Diagnosis Using Resting State EEG Signals. CoRR abs/2308.07436 (2023) - [i13]Roohallah Alizadehsani, Sadiq Hussain, Rene Ripardo Calixto, Victor Hugo C. de Albuquerque, Mohamad Roshanzamir, Mohamed Rahouti, Senthil Kumar Jagatheesaperumal:
Explainable Artificial Intelligence for Drug Discovery and Development - A Comprehensive Survey. CoRR abs/2309.12177 (2023) - 2022
- [j15]Abeer S. Desuky, Yomna M. Elbarawy, Samina Kausar, Asmaa Hekal Omar, Sadiq Hussain:
Single-Point Crossover and Jellyfish Optimization for Handling Imbalanced Data Classification Problem. IEEE Access 10: 11730-11749 (2022) - [j14]Abeer S. Desuky, Mehmet Akif Cifci, Samina Kausar, Sadiq Hussain, Lamiaa M. El Bakrawy:
Mud Ring Algorithm: A New Meta-Heuristic Optimization Algorithm for Solving Mathematical and Engineering Challenges. IEEE Access 10: 50448-50466 (2022) - [j13]Lamiaa M. El Bakrawy, Mehmet Akif Cifci, Samina Kausar, Sadiq Hussain, Md. Akhtarul Islam, Bilal Alatas, Abeer S. Desuky:
A Modified Ant Lion Optimization Method and Its Application for Instance Reduction Problem in Balanced and Imbalanced Data. Axioms 11(3): 95 (2022) - [i12]Javad Hassannataj Joloudari, Sadiq Hussain, Mohammad Ali Nematollahi, Rouhollah Bagheri, Fatemeh Fazl, Roohallah Alizadehsani, Reza Lashgari:
BERT-Deep CNN: State-of-the-Art for Sentiment Analysis of COVID-19 Tweets. CoRR abs/2211.09733 (2022) - 2021
- [j12]Abeer S. Desuky, Sadiq Hussain, Samina Kausar, Md. Akhtarul Islam, Lamiaa M. El Bakrawy:
EAOA: An Enhanced Archimedes Optimization Algorithm for Feature Selection in Classification. IEEE Access 9: 120795-120814 (2021) - [j11]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, Maryam Panahiazar, Assef Zare, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images. Biomed. Signal Process. Control. 68: 102622 (2021) - [j10]Marjane Khodatars, Afshin Shoeibi, Delaram Sadeghi, Navid Ghaasemi, Mahboobeh Jafari, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Assef Zare, Yinan Kong, Abbas Khosravi, Saeid Nahavandi, Sadiq Hussain, U. Rajendra Acharya, Michael Berk:
Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review. Comput. Biol. Medicine 139: 104949 (2021) - [j9]Sadiq Hussain, Silvia Gaftandzhieva, Md. Maniruzzaman, Rositsa Doneva, Zahraa Fadhil Muhsin:
Regression analysis of student academic performance using deep learning. Educ. Inf. Technol. 26(1): 783-798 (2021) - [j8]Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul W. Fieguth, Xiaochun Cao, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi:
A review of uncertainty quantification in deep learning: Techniques, applications and challenges. Inf. Fusion 76: 243-297 (2021) - [j7]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, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data. ACM Trans. Multim. Comput. Commun. Appl. 17(3s): 104:1-104:24 (2021) - [i11]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, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
Uncertainty-Aware Semi-supervised Method using Large Unlabelled and Limited Labeled COVID-19 Data. CoRR abs/2102.06388 (2021) - [i10]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, Maryam Panahiazar, Assef Zare, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images. CoRR abs/2102.06883 (2021) - [i9]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, Sheikh Mohammed Shariful Islam:
CNN AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID 19 patients. CoRR abs/2104.08954 (2021) - [i8]Moloud Abdar, Soorena Salari, Sina Qahremani, Hak-Keung Lam, Fakhri Karray, Sadiq Hussain, Abbas Khosravi, U. Rajendra Acharya, Saeid Nahavandi:
UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion with Ensemble Monte Carlo Dropout for COVID-19 Detection. CoRR abs/2105.08590 (2021) - 2020
- [j6]Kissinger Sunday, Patrick Ocheja, Sadiq Hussain, Solomon Sunday Oyelere, Balogun Oluwafemi Samson, Joseph Friday Agbo:
Analyzing Student Performance in Programming Education Using Classification Techniques. Int. J. Emerg. Technol. Learn. 15(2): 127-144 (2020) - [j5]Ranjit Paul, Silvia Gaftandzhieva, Samina Kausar, Sadiq Hussain, Rositsa Doneva, A. K. Baruah:
Exploring Student Academic Performance Using Data Mining Tools. Int. J. Emerg. Technol. Learn. 15(8): 195-209 (2020) - [j4]Samina Kausar, Solomon Sunday Oyelere, Yass Khudheir Salal, Sadiq Hussain, Mehmet Akif Cifci, Slavoljub Hilcenko, Muhammad Shahid Iqbal, Wenhao Zhu, Huahu Xu:
Mining Smart Learning Analytics Data Using Ensemble Classifiers. Int. J. Emerg. Technol. Learn. 15(12): 81-102 (2020) - [j3]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:
Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach. Pattern Recognit. Lett. 133: 33-40 (2020) - [i7]Navid Ghassemi, Hadi Mahami, Mohammad Tayarani Darbandi, Afshin Shoeibi, Sadiq Hussain, Farnad Nasirzadeh, Roohallah Alizadehsani, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi:
Material Recognition for Automated Progress Monitoring using Deep Learning Methods. CoRR abs/2006.16344 (2020) - [i6]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, Saeid Nahavandi, Amir F. Atiya, U. Rajendra Acharya:
Epileptic seizure detection using deep learning techniques: A Review. CoRR abs/2007.01276 (2020) - [i5]Marjane Khodatars, Afshin Shoeibi, Navid Ghassemi, Mahboobeh Jafari, Ali Khadem, Delaram Sadeghi, Parisa Moridian, Sadiq Hussain, Roohallah Alizadehsani, Assef Zare, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Michael Berk:
Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review. CoRR abs/2007.01285 (2020) - [i4]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, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Peng Shi:
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review. CoRR abs/2007.10785 (2020) - [i3]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, Dipti Srinivasan, Amir F. Atiya, U. Rajendra Acharya:
Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020). CoRR abs/2008.10114 (2020) - [i2]Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul W. Fieguth, Xiaochun Cao, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi:
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges. CoRR abs/2011.06225 (2020)
2010 – 2019
- 2019
- [j2]Sadiq Hussain, Zahraa Fadhil Muhsion, Yass Khudheir Salal, Paraskevi Theodorou, Fikriye Kurtoglu, G. C. Hazarika:
Prediction Model on Student Performance based on Internal Assessment using Deep Learning. Int. J. Emerg. Technol. Learn. 14(8): 4-22 (2019) - [j1]Moloud Abdar, Vivi Nur Wijayaningrum, Sadiq Hussain, Roohallah Alizadehsani, Pawel Plawiak, U. Rajendra Acharya, Vladimir Makarenkov:
IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment. J. Medical Syst. 43(7): 220:1-220:23 (2019) - [c4]Moloud Abdar, Elham Nasarian, Xujuan Zhou, Ghazal Bargshady, Vivi Nur Wijayaningrum, Sadiq Hussain:
Performance Improvement of Decision Trees for Diagnosis of Coronary Artery Disease Using Multi Filtering Approach. ICCCS 2019: 26-30 - 2018
- [c3]Sadiq Hussain, Rasha Ragheb Atallah, Amirrudin Kamsin, Jiten Hazarika:
Classification, Clustering and Association Rule Mining in Educational Datasets Using Data Mining Tools: A Case Study. CSOC (3) 2018: 196-211 - [c2]Mushtaq Hussain, Sadiq Hussain, Wu Zhang, Wenhao Zhu, Paraskevi Theodorou, Syed Muhammad Raza Abidi:
Mining Moodle Data to Detect the Inactive and Low-performance Students during the Moodle Course. ICBDR 2018: 133-140 - [d1]Sadiq Hussain:
Student Academics Performance. UCI Machine Learning Repository, 2018
- 2014
- [i1]Sadiq Hussain, G. C. Hazarika:
Educational data mining using jmp. CoRR abs/1411.2081 (2014)
2000 – 2009
- 2007
- [c1]Sadiq Hussain, Zain Tahboob:
Arabian Gulf Development Internet and Innovation Dynamics. Asia International Conference on Modelling and Simulation 2007: 545-551
Coauthor Index
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