Abbas Khosravi

318 papers A 1B 86C 8Misc 1Journal 171Unranked 50

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	UCTECG-Net: Uncertainty-aware Convolution Transformer ECG Network for Arrhythmia Detection. CoRR Hamzeh Asgharnezhad, Pegah Tabarisaadi, Abbas Khosravi, Roohallah Alizadehsani, U. Rajendra Acharya
2025	J	`jnl`	Attention-guided hierarchical fusion U-Net for uncertainty-driven medical image segmentation. Inf. Fusion Afsana Ahmed Munia, Moloud Abdar, Mehedi Hasan, Mohammad S. Jalali, Biplab Banerjee, Abbas Khosravi, Ibrahim Hossain, Huazhu Fu, Alejandro F. Frangi
2025	J	`jnl`	Exploring the Relationships Between Physiological Signals During Automated Fatigue Detection. CoRR Kourosh Kakhi, Abbas Khosravi, Roohallah Alizadehsani, U. Rajendra Acharya
2025	J	`jnl`	Fatigue monitoring using wearables and AI: Trends, challenges, and future opportunities. Comput. Biol. Medicine Kourosh Kakhi, Senthil Kumar Jagatheesaperumal, Abbas Khosravi, Roohallah Alizadehsani, U. Rajendra Acharya
2025	J	`jnl`	Lifestyle factors and other predictors of common mental disorders in diagnostic machine learning studies: A systematic review. Comput. Biol. Medicine Emma Todd, Rebecca Orr, Elizabeth Gamage, Emma West, Tabinda Jabeen, Amelia J. McGuinness, Victoria George, Kate Phuong-Nguyen, Lara M. Voglsanger, Laura Jennings, Lisa Angwenyi, Sabine Taylor, Abbas Khosravi, Felice Jacka, Samantha L. Dawson
2025	—	`conf`	Neural Dynamics Under Stress: Advanced Statistical Validation and Correlation of EEG-Based Time-Varying Effective Connectivity Features. DSP Sayantan Acharya, Abbas Khosravi, Douglas C. Creighton
2025	J	`jnl`	Neurostressology: A systematic review of EEG-based automated mental stress perspectives. Inf. Fusion Sayantan Acharya, Abbas Khosravi, Douglas C. Creighton, Roohallah Alizadehsani, U. Rajendra Acharya
2025	J	`jnl`	Rewiring Human Brain Networks via Lightweight Dynamic Connectivity Framework: An EEG-Based Stress Validation. CoRR Sayantan Acharya, Abbas Khosravi, Douglas C. Creighton, Roohallah Alizadehsani, U. Rajendra Acharya
2025	J	`jnl`	Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing. ACM Comput. Surv. Md. Mehedi Hasan, Moloud Abdar, Abbas Khosravi, Uwe Aickelin, Pietro Lio, Ibrahim Hossain, Ashikur Rahman, Saeid Nahavandi
2025	J	`jnl`	Uncertainty-Aware Deep Learning for Automated Skin Cancer Classification: A Comprehensive Evaluation. CoRR Hamzeh Asgharnezhad, Pegah Tabarisaadi, Abbas Khosravi, Roohallah Alizadehsani, U. Rajendra Acharya
2024	J	`jnl`	A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges. IEEE Trans. Cybern. Maryam Zare, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi
2024	J	`jnl`	An Optimized Uncertainty-Aware Training Framework for Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Pegah Tabarisaadi, Abbas Khosravi, Saeid Nahavandi, Miadreza Shafie-khah, João P. S. Catalão
2024	J	`jnl`	An efficient hybrid extreme learning machine and evolutionary framework with applications for medical diagnosis. Expert Syst. J. Knowl. Eng. Ali Al Bataineh, Seyed Mohammad Jafar Jalali, Seyed Jalaleddin Mousavirad, Amirmehdi Yazdani, Syed Mohammed Shamsul Islam, Abbas Khosravi
2024	J	`jnl`	Comparison of Deep Learning Techniques on Human Activity Recognition using Ankle Inertial Signals. CoRR Farhad Nazari, Darius Nahavandi, Navid Mohajer, Abbas Khosravi
2024	J	`jnl`	Comparison of gait phase detection using traditional machine learning and deep learning techniques. CoRR Farhad Nazari, Navid Mohajer, Darius Nahavandi, Abbas Khosravi
2024	J	`jnl`	Fatigue Monitoring Using Wearables and AI: Trends, Challenges, and Future Opportunities. CoRR Kourosh Kakhi, Senthil Kumar Jagatheesaperumal, Abbas Khosravi, Roohallah Alizadehsani, U. Rajendra Acharya
2024	J	`jnl`	Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991-2020). Ann. Oper. Res. 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
2024	J	`jnl`	Improved binary differential evolution with dimensionality reduction mechanism and binary stochastic search for feature selection. Appl. Soft Comput. Behrouz Ahadzadeh, Moloud Abdar, Fatemeh Safara, Leyla Aghaei, Seyedali Mirjalili, Abbas Khosravi, Salvador García, Fakhri Karray, U. Rajendra Acharya
2024	J	`jnl`	Machine Learning Models for the Identification of Cardiovascular Diseases Using UK Biobank Data. CoRR Sheikh Mohammed Shariful Islam, Moloud Abrar, Teketo Tegegne, Liliana Loranjo, Chandan K. Karmakar, Md. Abdul Awal, Md. Shahadat Hossain, Muhammad Ashad Kabir, Mufti Mahmud, Abbas Khosravi, George Siopis, Jeban Chandir Moses, Ralph Maddison
2024	J	`jnl`	Uncertainty aware neural network from similarity and sensitivity. Appl. Soft Comput. Hussain Mohammed Dipu Kabir, Subrota Kumar Mondal, Sadia Khanam, Abbas Khosravi, Shafin Rahman, Mohammad Reza Chalak Qazani, Roohallah Alizadehsani, Houshyar Asadi, Shady M. K. Mohamed, Saeid Nahavandi, U. Rajendra Acharya
2024	J	`jnl`	UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data. Swarm Evol. Comput. Behrouz Ahadzadeh, Moloud Abdar, Mahdieh Foroumandi, Fatemeh Safara, Abbas Khosravi, Salvador García, Ponnuthurai Nagaratnam Suganthan
2023	J	`jnl`	A Review of Deep Learning for Video Captioning. CoRR Moloud Abdar, Meenakshi Kollati, Swaraja Kuraparthi, Farhad Pourpanah, Daniel McDuff, Mohammad Ghavamzadeh, Shuicheng Yan, Abduallah Mohamed, Abbas Khosravi, Erik Cambria, Fatih Porikli
2023	J	`jnl`	A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges. CoRR Maryam Zare, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi
2023	J	`jnl`	ALEC: Active learning with ensemble of classifiers for clinical diagnosis of coronary artery disease. Comput. Biol. Medicine Fahime Khozeimeh, Roohallah Alizadehsani, Milad Shirani, Mehrzad Tartibi, Afshin Shoeibi, Hamid Alinejad-Rokny, Chandrashekhar Harlapur, Sayed Javed Sultanzadeh, Abbas Khosravi, Saeid Nahavandi, Ru-San Tan, U. Rajendra Acharya
2023	J	`jnl`	Adaptive Motion Cueing Algorithm Using Optimized Fuzzy Control System for Motion Simulators. IEEE Trans. Intell. Veh. Houshyar Asadi, Tobias Bellmann, Shady M. K. Mohamed, Chee Peng Lim, Abbas Khosravi, Saeid Nahavandi
2023	J	`jnl`	An intelligent driven deep residual learning framework for brain tumor classification using MRI images. Expert Syst. Appl. Hossein Mehnatkesh, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Saeid Nahavandi
2023	J	`jnl`	Applied Exoskeleton Technology: A Comprehensive Review of Physical and Cognitive Human-Robot Interaction. IEEE Trans. Cogn. Dev. Syst. Farhad Nazari, Navid Mohajer, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi
2023	J	`jnl`	Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review. Comput. Biol. Medicine Mahboobeh Jafari, Afshin Shoeibi, Marjane Khodatars, Navid Ghassemi, Parisa Moridian, Roohallah Alizadehsani, Abbas Khosravi, Sai Ho Ling, Niloufar Delfan, Yudong Zhang, Shui-Hua Wang, Juan Manuel Górriz, Hamid Alinejad-Rokny, U. Rajendra Acharya
2023	J	`jnl`	Binarized multi-gate mixture of Bayesian experts for cardiac syndrome X diagnosis: A clinician-in-the-loop scenario with a belief-uncertainty fusion paradigm. Inf. Fusion Moloud Abdar, Arash Mehrzadi, Milad Goudarzi, Farzad Masoudkabir, Leonardo Rundo, Mohammad Mamouei, Evis Sala, Abbas Khosravi, Vladimir Makarenkov, U. Rajendra Acharya, Seyedmohammad Saadatagah, Mohammadreza Naderian, Salvador García, Nizal Sarrafzadegan, Saeid Nahavandi
2023	J	`jnl`	Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review. Inf. Fusion Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Navid Ghassemi, Parisa Moridian, Roohallah Alizadehsani, Sai Ho Ling, Abbas Khosravi, Hamid Alinejad-Rokny, Hak-Keung Lam, Matthew Fuller-Tyszkiewicz, U. Rajendra Acharya, Donovan Anderson, Yudong Zhang, Juan Manuel Górriz
2023	J	`jnl`	Hercules: Deep Hierarchical Attentive Multilevel Fusion Model With Uncertainty Quantification for Medical Image Classification. IEEE Trans. Ind. Informatics Moloud Abdar, Mohammad Amin Fahami, Leonardo Rundo, Petia Radeva, Alejandro F. Frangi, U. Rajendra Acharya, Abbas Khosravi, Hak-Keung Lam, Alexander Jung, Saeid Nahavandi
2023	J	`jnl`	Identification of Clinical Features Associated with Mortality in COVID-19 Patients. Oper. Res. Forum 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
2023	J	`jnl`	Leveraging Optimal Transport for Enhanced Offline Reinforcement Learning in Surgical Robotic Environments. CoRR Maryam Zare, Parham M. Kebria, Abbas Khosravi
2023	J	`jnl`	Probabilistic Wind Power Forecasting Using Optimized Deep Auto-Regressive Recurrent Neural Networks. IEEE Trans. Ind. Informatics Parul Arora, Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Bijaya K. Panigrahi, Ponnuthurai N. Suganthan, Abbas Khosravi
2023	J	`jnl`	SFE: A Simple, Fast and Efficient Feature Selection Algorithm for High-Dimensional Data. CoRR Behrouz Ahadzadeh, Moloud Abdar, Fatemeh Safara, Abbas Khosravi, Mohammad Bagher Menhaj, Ponnuthurai Nagaratnam Suganthan
2023	J	`jnl`	SFE: A Simple, Fast, and Efficient Feature Selection Algorithm for High-Dimensional Data. IEEE Trans. Evol. Comput. Behrouz Ahadzadeh, Moloud Abdar, Fatemeh Safara, Abbas Khosravi, Mohammad Bagher Menhaj, Ponnuthurai Nagaratnam Suganthan
2023	J	`jnl`	SpinalNet: Deep Neural Network With Gradual Input. IEEE Trans. Artif. Intell. Hussain Mohammed Dipu Kabir, Moloud Abdar, Abbas Khosravi, Seyed Mohammad Jafar Jalali, Amir F. Atiya, Saeid Nahavandi, Dipti Srinivasan
2023	J	`jnl`	Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing. CoRR Mehedi Hasan, Moloud Abdar, Abbas Khosravi, Uwe Aickelin, Pietro Lio', Ibrahim Hossain, Ashikur Rahman, Saeid Nahavandi
2023	J	`jnl`	Swarm Intelligence in Internet of Medical Things: A Review. Sensors Roohallah Alizadehsani, Mohamad Roshanzamir, Navid Hoseini Izadi, Raffaele Gravina, Hussain Mohammed Dipu Kabir, Darius Nahavandi, Hamid Alinejad-Rokny, Abbas Khosravi, U. Rajendra Acharya, Saeid Nahavandi, Giancarlo Fortino
2023	J	`jnl`	Toward domain adaptation with open-set target data: Review of theory and computer vision applications. Inf. Fusion Reyhane Ghaffari, Mohammad Sadegh Helfroush, Abbas Khosravi, Kamran Kazemi, Habibollah Danyali, Leszek Rutkowski
2023	J	`jnl`	Uncertainty Aware Neural Network from Similarity and Sensitivity. CoRR Hussain Mohammed Dipu Kabir, Subrota Kumar Mondal, Sadia Khanam, Abbas Khosravi, Shafin Rahman, Mohammad Reza Chalak Qazani, Roohallah Alizadehsani, Houshyar Asadi, Shady M. K. Mohamed, Saeid Nahavandi, U. Rajendra Acharya
2023	J	`jnl`	Uncertainty-aware credit card fraud detection using deep learning. Eng. Appl. Artif. Intell. Maryam Habibpour, Hassan Gharoun, Mohammadreza Mehdipour, AmirReza Tajally, Hamzeh Asgharnezhad, Afshar Shamsi Jokandan, Abbas Khosravi, Saeid Nahavandi
2023	J	`jnl`	UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection. Inf. Fusion Moloud Abdar, Soorena Salari, Sina Qahremani, Hak-Keung Lam, Fakhri Karray, Sadiq Hussain, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi
2023	A	`conf`	Using Data Mining Techniques to Analyze Facial Expression Motion Vectors. DIS Mohamad Roshanzamir, Roohallah Alizadehsani, Mahdi Roshanzamir, Afshin Shoeibi, Juan Manuel Górriz, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya
2022	B	`conf`	A Home for Principal Component Analysis (PCA) as part of a Multi-Agent Safety System (MASS) for Human-Robot Collaboration (HRC) within the Industry 5.0 Enterprise Architecture (EA). SMC Anushri Rajendran, Parham M. Kebria, Navid Mohajer, Abbas Khosravi, Saeid Nahavandi
2022	J	`jnl`	Aleatory-aware deep uncertainty quantification for transfer learning. Comput. Biol. Medicine Hussain Mohammed Dipu Kabir, Sadia Khanam, Fahime Khozeimeh, Abbas Khosravi, Subrota Kumar Mondal, Saeid Nahavandi, U. Rajendra Acharya
2022	J	`jnl`	An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works. Comput. Biol. Medicine Afshin Shoeibi, Parisa Moridian, Marjane Khodatars, Navid Ghassemi, Mahboobeh Jafari, Roohallah Alizadehsani, Yinan Kong, Juan Manuel Górriz, Javier Ramírez, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya
2022	J	`jnl`	Application of artificial intelligence in wearable devices: Opportunities and challenges. Comput. Methods Programs Biomed. Darius Nahavandi, Roohallah Alizadehsani, Abbas Khosravi, U. Rajendra Acharya
2022	J	`jnl`	Automated Deep CNN-LSTM Architecture Design for Solar Irradiance Forecasting. IEEE Trans. Syst. Man Cybern. Syst. Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Abdollah Kavousi-Fard, Abbas Khosravi, Saeid Nahavandi
2022	J	`jnl`	Automated Diagnosis of Cardiovascular Diseases from Cardiac Magnetic Resonance Imaging Using Deep Learning Models: A Review. CoRR Mahboobeh Jafari, Afshin Shoeibi, Marjane Khodatars, Navid Ghassemi, Parisa Moridian, Niloufar Delfan, Roohallah Alizadehsani, Abbas Khosravi, Sai Ho Ling, Yu-Dong Zhang, Shui-Hua Wang, Juan Manuel Górriz, Hamid Alinejad-Rokny, U. Rajendra Acharya
2022	J	`jnl`	Automatic Autism Spectrum Disorder Detection Using Artificial Intelligence Methods with MRI Neuroimaging: A Review. CoRR Parisa Moridian, Navid Ghassemi, Mahboobeh Jafari, Salam Salloum-Asfar, Delaram Sadeghi, Marjane Khodatars, Afshin Shoeibi, Abbas Khosravi, Sai Ho Ling, Abdulhamit Subasi, Sara A. Abdulla, Roohallah Alizadehsani, Juan Manuel Górriz, U. Rajendra Acharya
2022	J	`jnl`	Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence. CoRR Mahboobeh Jafari, Afshin Shoeibi, Navid Ghassemi, Jónathan Heras, Abbas Khosravi, Sai Ho Ling, Roohallah Alizadehsani, Amin Beheshti, Yu-Dong Zhang, Shui-Hua Wang, Juan Manuel Górriz, U. Rajendra Acharya, Hamid Alinejad-Rokny
2022	J	`jnl`	Automatic Diagnosis of Schizophrenia and Attention Deficit Hyperactivity Disorder in rs-fMRI Modality using Convolutional Autoencoder Model and Interval Type-2 Fuzzy Regression. CoRR Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Parisa Moridian, Abbas Khosravi, Assef Zare, Juan Manuel Górriz, Amir Hossein Chale-Chale, Ali Khadem, U. Rajendra Acharya
2022	B	`conf`	CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 Diagnosis. SMC Sadia Khanam, Mohammad Reza Chalak Qazani, Subrota Kumar Mondal, Hussain Mohammed Dipu Kabir, Abadhan Saumya Sabyasachi, Houshyar Asadi, Keshav Kumar, Farzin Tabarsinezhad, Shady M. K. Mohamed, Abbas Khosravi, Saeid Nahavandi
2022	J	`jnl`	CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 Diagnosis. CoRR Sadia Khanam, Mohammad Reza Chalak Qazani, Subrota Kumar Mondal, Hussain Mohammed Dipu Kabir, Abadhan Saumya Sabyasachi, Houshyar Asadi, Keshav Kumar, Farzin Tabarsinezhad, Shady M. K. Mohamed, Abbas Khosravi, Saeid Nahavandi
2022	C	`conf`	Comparison Study of Inertial Sensor Signal Combination for Human Activity Recognition based on Convolutional Neural Networks. HSI Farhad Nazari, Navid Mohajer, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi
2022	J	`jnl`	Comparison Study of Inertial Sensor Signal Combination for Human Activity Recognition based on Convolutional Neural Networks. CoRR Farhad Nazari, Navid Mohajer, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi
2022	B	`conf`	Comparison of Deep Learning Techniques on Human Activity Recognition using Ankle Inertial Signals. SMC Farhad Nazari, Darius Nahavandi, Navid Mohajer, Abbas Khosravi
2022	B	`conf`	Comparison of gait phase detection using traditional machine learning and deep learning techniques. SMC Farhad Nazari, Navid Mohajer, Darius Nahavandi, Abbas Khosravi
2022	J	`jnl`	Controlled Dropout for Uncertainty Estimation. CoRR Mehedi Hasan, Abbas Khosravi, Ibrahim Hossain, Ashikur Rahman, Saeid Nahavandi
2022	J	`jnl`	Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies. Biomed. Signal Process. Control. Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Parisa Moridian, Roohallah Alizadehsani, Assef Zare, Abbas Khosravi, Abdulhamit Subasi, U. Rajendra Acharya, Juan Manuel Górriz
2022	J	`jnl`	DoubleU-Net++: Architecture with Exploit Multiscale Features for Vertebrae Segmentation. CoRR Simindokht Jahangard, Mahdi Bonyani, Abbas Khosravi
2022	J	`jnl`	Effective Management of Energy Internet in Renewable Hybrid Microgrids: A Secured Data Driven Resilient Architecture. IEEE Trans. Ind. Informatics Mojtaba Mohammadi, Abdollah Kavousi-Fard, Morteza Dabbaghjamanesh, Amir Farughian, Abbas Khosravi
2022	J	`jnl`	Human Activity Recognition from Knee Angle Using Machine Learning Techniques. CoRR Farhad Nazari, Darius Nahavandi, Navid Mohajer, Abbas Khosravi
2022	J	`jnl`	Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries. Expert Syst. J. Knowl. Eng. Roohallah Alizadehsani, Mohamad Roshanzamir, Moloud Abdar, Adham Beykikhoshk, Abbas Khosravi, Saeid Nahavandi, Pawel Plawiak, Ru-San Tan, U. Rajendra Acharya
2022	J	`jnl`	MCUa: Multi-Level Context and Uncertainty Aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification. IEEE Trans. Biomed. Eng. Zakaria Senousy, Mohammed M. Abdelsamea, Mohamed Medhat Gaber, Moloud Abdar, U. Rajendra Acharya, Abbas Khosravi, Saeid Nahavandi
2022	J	`jnl`	Remodelling State-Space Prediction With Deep Neural Networks for Probabilistic Load Forecasting. IEEE Trans. Emerg. Top. Comput. Intell. Parul Arora, Abbas Khosravi, Bijaya K. Panigrahi, Ponnuthurai N. Suganthan
2022	J	`jnl`	Uncertainty-Aware Management of Smart Grids Using Cloud-Based LSTM-Prediction Interval. IEEE Trans. Cybern. Seyede Zahra Tajalli, Abdollah Kavousi-Fard, Mohammad Mardaneh, Abbas Khosravi, Roozbeh Razavi-Far
2022	J	`jnl`	Uncertainty-aware Decisions in Cloud Computing: Foundations and Future Directions. ACM Comput. Surv. Hussain Mohammed Dipu Kabir, Abbas Khosravi, Subrota Kumar Mondal, Mustaneer Rahman, Saeid Nahavandi, Rajkumar Buyya
2022	J	`jnl`	Uncertainty-aware skin cancer detection: The element of doubt. Comput. Biol. Medicine Pegah Tabarisaadi, Abbas Khosravi, Saeid Nahavandi
2022	J	`jnl`	X-ray image based COVID-19 detection using evolutionary deep learning approach. Expert Syst. Appl. Seyed Mohammad Jafar Jalali, Milad Ahmadian, Sajad Ahmadian, Rachid Hedjam, Abbas Khosravi, Saeid Nahavandi
2021	B	`conf`	A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification. SMC Feras Albardi, Hussain Mohammed Dipu Kabir, Md Mahbub Islam Bhuiyan, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi
2021	J	`jnl`	A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification. CoRR Feras Albardi, Hussain Mohammed Dipu Kabir, Md Mahbub Islam Bhuiyan, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi
2021	B	`conf`	A Fast and Reliable Approach for Driving Style Customization in Autonomous Vehicles. SMC Mohammad Reza Chalak Qazani, Houshyar Asadi, Chee Peng Lim, Shady M. K. Mohamed, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi, Navneet Bhasin
2021	C	`conf`	A New Uncertainty-aware Deep Neuroevolution Model for Quantifying Tidal Prediction. IAS Seyed Mohammad Jafar Jalali, Mahdi Khodayar, Sajad Ahmadian, Md Kislu Noman, Abbas Khosravi, Syed Mohammed Shamsul Islam, Fei Wang, João P. S. Catalão
2021	J	`jnl`	A Novel Evolutionary-Based Deep Convolutional Neural Network Model for Intelligent Load Forecasting. IEEE Trans. Ind. Informatics Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Abbas Khosravi, Miadreza Shafie-khah, Saeid Nahavandi, João P. S. Catalão
2021	J	`jnl`	A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals. Expert Syst. Appl. Afshin Shoeibi, Navid Ghassemi, Roohallah Alizadehsani, Modjtaba Rouhani, Hossein Hosseini-Nejad, Abbas Khosravi, Maryam Panahiazar, Saeid Nahavandi
2021	J	`jnl`	A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs. Knowl. Based Syst. Mohamad Beheshti Roui, Mariam Zomorodi, Masoomeh Sarvelayati, Moloud Abdar, Hamid Noori, Pawel Plawiak, Ryszard Tadeusiewicz, Xujuan Zhou, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya
2021	J	`jnl`	A novel deep neuroevolution-based image classification method to diagnose coronavirus disease (COVID-19). Comput. Biol. Medicine Sajad Ahmadian, Seyed Mohammad Jafar Jalali, Syed Mohammed Shamsul Islam, Abbas Khosravi, Ebrahim Fazli, Saeid Nahavandi
2021	J	`jnl`	A review of uncertainty quantification in deep learning: Techniques, applications and challenges. Inf. Fusion 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
2021	J	`jnl`	Accurate Prediction Using Triangular Type-2 Fuzzy Linear Regression. CoRR Assef Zare, Afshin Shoeibi, Narges Shafaei Bajestani, Parisa Moridian, Roohallah Alizadehsani, Majid Halaji, Abbas Khosravi
2021	J	`jnl`	An Uncertainty-Aware Deep Learning Framework for Defect Detection in Casting Products. CoRR Maryam Habibpour, Hassan Gharoun, AmirReza Tajally, Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Abbas Khosravi, Saeid Nahavandi
2021	J	`jnl`	An Uncertainty-Aware Transfer Learning-Based Framework for COVID-19 Diagnosis. IEEE Trans. Neural Networks Learn. Syst. Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Shirin Shamsi Jokandan, Abbas Khosravi, Parham M. Kebria, Darius Nahavandi, Saeid Nahavandi, Dipti Srinivasan
2021	J	`jnl`	An oppositional-Cauchy based GSK evolutionary algorithm with a novel deep ensemble reinforcement learning strategy for COVID-19 diagnosis. Appl. Soft Comput. Seyed Mohammad Jafar Jalali, Milad Ahmadian, Sajad Ahmadian, Abbas Khosravi, Mamoun Alazab, Saeid Nahavandi
2021	J	`jnl`	Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works. CoRR Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Mahboobeh Jafari, Parisa Moridian, Roohallah Alizadehsani, Ali Khadem, Yinan Kong, Assef Zare, Juan Manuel Górriz, Javier Ramírez, Maryam Panahiazar, Abbas Khosravi, Saeid Nahavandi
2021	J	`jnl`	Automated detection of shockable ECG signals: A review. Inf. Sci. Mohamed Hammad, Kandala N. V. P. S. Rajesh, Amira Abdelatey, Moloud Abdar, Mariam Zomorodi Moghadam, Ru-San Tan, U. Rajendra Acharya, Joanna Plawiak, Ryszard Tadeusiewicz, Vladimir Makarenkov, Nizal Sarrafzadegan, Abbas Khosravi, Saeid Nahavandi, Ahmed A. Abd El-Latif, Pawel Plawiak
2021	J	`jnl`	BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification. Inf. Sci. Moloud Abdar, Mohammad Amin Fahami, Satarupa Chakrabarti, Abbas Khosravi, Pawel Plawiak, U. Rajendra Acharya, Ryszard Tadeusiewicz, Saeid Nahavandi
2021	J	`jnl`	CNN AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID 19 patients. CoRR 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
2021	J	`jnl`	Confidence Aware Neural Networks for Skin Cancer Detection. CoRR Donya Khaledyan, AmirReza Tajally, Ali Sarkhosh, Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Abbas Khosravi, Saeid Nahavandi
2021	J	`jnl`	Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991-2020. Comput. Biol. Medicine Roohallah Alizadehsani, Abbas Khosravi, Mohamad Roshanzamir, Moloud Abdar, Nizal Sarrafzadegan, Davood Shafie, Fahime Khozeimeh, Afshin Shoeibi, Saeid Nahavandi, Maryam Panahiazar, Andrew Bishara, Ramin E. Beygui, Rishi Puri, Samir Kapadia, Ru-San Tan, U. Rajendra Acharya
2021	J	`jnl`	Critical Review of Exoskeleton Technology: State of the art and development of physical and cognitive human-robot interface. CoRR Farhad Nazari, Navid Mohajer, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi
2021	B	`conf`	Deep Representation Learning using Multilayer Perceptron and Stacked Autoencoder for Recommendation Systems. SMC Amir Khani Yengikand, Majid Meghdadi, Sajad Ahmadian, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Saeid Nahavandi
2021	J	`jnl`	Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review. Comput. Biol. Medicine 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
2021	J	`jnl`	Detection of Epileptic Seizures on EEG Signals Using ANFIS Classifier, Autoencoders and Fuzzy Entropies. CoRR Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Parisa Moridian, Roohallah Alizadehsani, Assef Zare, Abbas Khosravi, Abdulhamit Subasi, U. Rajendra Acharya, Juan Manuel Górriz
2021	J	`jnl`	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. 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
2021	J	`jnl`	Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images. CoRR 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
2021	B	`conf`	Human Activity Recognition from Knee Angle Using Machine Learning Techniques. SMC Farhad Nazari, Darius Nahavandi, Navid Mohajer, Abbas Khosravi
2021	J	`jnl`	Improving MC-Dropout Uncertainty Estimates with Calibration Error-based Optimization. CoRR Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Moloud Abdar, AmirReza Tajally, Abbas Khosravi, Saeid Nahavandi, Henry Leung
2021	B	`conf`	Integration of Deep Sparse Autoencoder and Particle Swarm Optimization to Develop a Recommender System. SMC Milad Ahmadian, Mahmood Ahmadi, Sajad Ahmadian, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Saeid Nahavandi
2021	J	`jnl`	MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification. CoRR Zakaria Senousy, Mohammed M. Abdelsamea, Mohamed Medhat Gaber, Moloud Abdar, U. Rajendra Acharya, Abbas Khosravi, Saeid Nahavandi
2021	—	`conf`	Machine Learning based Prediction of Situational Awareness in Pilots using ECG Signals. SSCI Anushri Rajendran, Parham M. Kebria, Navid Mohajer, Abbas Khosravi, Saeid Nahavandi
2021	J	`jnl`	Neural Network Training for Uncertainty Quantification Over Time-Range. IEEE Trans. Emerg. Top. Comput. Intell. Hussain Mohammed Dipu Kabir, Abbas Khosravi, Saeid Nahavandi, Dipti Srinivasan
2021	J	`jnl`	Optimal uncertainty-guided neural network training. Appl. Soft Comput. Hussain Mohammed Dipu Kabir, Abbas Khosravi, Abdollah Kavousi-Fard, Saeid Nahavandi, Dipti Srinivasan
2021	J	`jnl`	Partial Adversarial Training for Neural Network-Based Uncertainty Quantification. IEEE Trans. Emerg. Top. Comput. Intell. Hussain Mohammed Dipu Kabir, Abbas Khosravi, Saeid Nahavandi, Abdollah Kavousi-Fard
2021	J	`jnl`	Stable Neural Adaptive Filters for Teleoperations With Uncertain Delays. IEEE Robotics Autom. Lett. Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi
2021	J	`jnl`	Time Series Forecasting of New Cases and New Deaths Rate for COVID-19 using Deep Learning Methods. CoRR Nooshin Ayoobi, Danial Sharifrazi, Roohallah Alizadehsani, Afshin Shoeibi, Juan Manuel Górriz, Hossein Moosaei, Abbas Khosravi, Saeid Nahavandi, Abdoulmohammad Gholamzadeh Chofreh, Feybi Ariani Goni, Jirí Jaromír Klemes, Amir Mosavi
2021	B	`conf`	Uncertainty Quantification for the Required Fossil Fuel Generation in a Smart Grid. IJCNN Hussain Mohammed Dipu Kabir, Abbas Khosravi, Md Shihanur Rahman, Mohammad Anwar Hosen, Saeid Nahavandi
2021	J	`jnl`	Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning. Comput. Biol. Medicine Moloud Abdar, Maryam Samami, Sajjad Dehghani Mahmoodabad, Thang Doan, Bogdan Mazoure, Reza Hashemifesharaki, Li Liu, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi
2021	J	`jnl`	Uncertainty-Aware Credit Card Fraud Detection Using Deep Learning. CoRR Maryam Habibpour, Hassan Gharoun, Mohammadreza Mehdipour, AmirReza Tajally, Hamzeh Asgharnezhad, Afshar Shamsi Jokandan, Abbas Khosravi, Miadreza Shafie-khah, Saeid Nahavandi, João P. S. Catalão
2021	J	`jnl`	Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data. ACM Trans. Multim. Comput. Commun. Appl. 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
2021	J	`jnl`	Uncertainty-Aware Semi-supervised Method using Large Unlabelled and Limited Labeled COVID-19 Data. CoRR 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
2021	J	`jnl`	UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion with Ensemble Monte Carlo Dropout for COVID-19 Detection. CoRR Moloud Abdar, Soorena Salari, Sina Qahremani, Hak-Keung Lam, Fakhri Karray, Sadiq Hussain, Abbas Khosravi, U. Rajendra Acharya, Saeid Nahavandi
2021	J	`jnl`	What happens in Face during a facial expression? Using data mining techniques to analyze facial expression motion vectors. CoRR Mohamad Roshanzamir, Roohallah Alizadehsani, Mahdi Roshanzamir, Afshin Shoeibi, Juan Manuel Górriz, Abbas Khosravi, Saeid Nahavandi
2020	B	`conf`	A Deep Bayesian Ensembling Framework for COVID-19 Detection using Chest CT Images. SMC Pegah Tabarisaadi, Abbas Khosravi, Saeid Nahavandi
2020	J	`jnl`	A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges. CoRR 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
2020	J	`jnl`	A Survey of Computational Intelligence Techniques for Wind Power Uncertainty Quantification in Smart Grids. IEEE Trans. Neural Networks Learn. Syst. Hao Quan, Abbas Khosravi, Dazhi Yang, Dipti Srinivasan
2020	J	`jnl`	A weight perturbation-based regularisation technique for convolutional neural networks and the application in medical imaging. Expert Syst. Appl. Amin Khatami, Asef Nazari, Abbas Khosravi, Chee Peng Lim, Saeid Nahavandi
2020	—	`conf`	Adaptive Neural Network-based Perception and Awareness of Teleoperation Systems in Human-Machine Interactions. ICHMS Parham M. Kebria, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi, Fernando Bello
2020	J	`jnl`	Adaptive Type-2 Fuzzy Neural-Network Control for Teleoperation Systems With Delay and Uncertainties. IEEE Trans. Fuzzy Syst. Parham Mohsenzadeh Kebria, Abbas Khosravi, Saeid Nahavandi, Dongrui Wu, Fernando Bello
2020	J	`jnl`	An Uncertainty-aware Transfer Learning-based Framework for Covid-19 Diagnosis. CoRR Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Shirin Shamsi Jokandan, Abbas Khosravi, Parham M. Kebria, Darius Nahavandi, Saeid Nahavandi, Dipti Srinivasan
2020	J	`jnl`	Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review. CoRR 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
2020	J	`jnl`	Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals. Sensors Catalin Stoean, Ruxandra Stoean, Miguel A. Atencia Ruiz, Moloud Abdar, Luís Velázquez Pérez, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Gonzalo Joya
2020	B	`conf`	Autonomous Navigation via Deep Imitation and Transfer Learning: A Comparative Study. SMC Parham M. Kebria, Abbas Khosravi, Ibrahim Hossain, Navid Mohajer, Hussain Mohammed Dipu Kabir, Seyed Mohammad Jafar Jalali, Darius Nahavandi, Syed Moshfeq Salaken, Saeid Nahavandi, Aurelien Lagrandcourt, Navneet Bhasin
2020	—	`conf`	Bayesian Randomly Wired Neural Network with Variational Inference for Image Recognition. ICONIP (3) Pegah Tabarisaadi, Abbas Khosravi, Saeid Nahavandi
2020	J	`jnl`	Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review. CoRR 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
2020	J	`jnl`	Deep imitation learning for autonomous vehicles based on convolutional neural networks. IEEE CAA J. Autom. Sinica Parham M. Kebria, Abbas Khosravi, Syed Moshfeq Salaken, Saeid Nahavandi
2020	J	`jnl`	Developing a computationally effective Interval Type-2 TSK Fuzzy Logic Controller. J. Intell. Fuzzy Syst. Abel Hailemichael, Syed Moshfeq Salaken, Ali Karimoddini, Abdollah Homaifar, Abbas Khosravi, Saeid Nahavandi
2020	J	`jnl`	Epileptic seizure detection using deep learning techniques: A Review. CoRR 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
2020	J	`jnl`	Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020). CoRR 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
2020	J	`jnl`	Material Recognition for Automated Progress Monitoring using Deep Learning Methods. CoRR Navid Ghassemi, Hadi Mahami, Mohammad Tayarani Darbandi, Afshin Shoeibi, Sadiq Hussain, Farnad Nasirzadeh, Roohallah Alizadehsani, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi
2020	J	`jnl`	Model uncertainty quantification for diagnosis of each main coronary artery stenosis. Soft Comput. Roohallah Alizadehsani, Mohamad Roshanzamir, Moloud Abdar, Adham Beykikhoshk, Mohammad Hossein Zangooei, Abbas Khosravi, Saeid Nahavandi, Ru-San Tan, U. Rajendra Acharya
2020	B	`conf`	Neural Network Control of Teleoperation Systems with Delay and Uncertainties based on Multilayer Perceptron Estimations. IJCNN Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi
2020	—	`conf`	Neural Network Training Using a Biogeography-Based Learning Strategy. ICONIP (5) Seyed Jalaleddin Mousavirad, Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Abbas Khosravi, Gerald Schaefer, Saeid Nahavandi
2020	J	`jnl`	Neuroevolution-based autonomous robot navigation: A comparative study. Cogn. Syst. Res. Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Abbas Khosravi, Seyedali Mirjalili, Mohammad Reza Mahmoudi, Saeid Nahavandi
2020	J	`jnl`	Objective Evaluation of Deep Uncertainty Predictions for COVID-19 Detection. CoRR Hamzeh Asgharnezhad, Afshar Shamsi Jokandan, Roohallah Alizadehsani, Abbas Khosravi, Saeid Nahavandi, Zahra Alizadeh Sani, Dipti Srinivasan
2020	J	`jnl`	Robust Adaptive Control Scheme for Teleoperation Systems With Delay and Uncertainties. IEEE Trans. Cybern. Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi, Peng Shi, Roohallah Alizadehsani
2020	B	`conf`	Robust Collaboration of a Haptically-Enabled Double-Slave Teleoperation System under Random Communication Delays. SMC Parham M. Kebria, Darius Nahavandi, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Saeid Nahavandi, Fernando Bello, Conor McGinn
2020	J	`jnl`	SpinalNet: Deep Neural Network with Gradual Input. CoRR Hussain Mohammed Dipu Kabir, Moloud Abdar, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Amir F. Atiya, Saeid Nahavandi, Dipti Srinivasan
2020	B	`conf`	Uncertainty Quantification Neural Network from Similarity and Sensitivity. IJCNN Hussain Mohammed Dipu Kabir, Abbas Khosravi, Darius Nahavandi, Saeid Nahavandi
2019	—	`conf`	A Cloud Bidding Framework for Deadline Constrained Jobs. ICIT Hussain Mohammed Dipu Kabir, Abadhan Saumya Sabyasachi, Abbas Khosravi, Mohammad Anwar Hosen, Saeid Nahavandi, Rajkumar Buyya
2019	B	`conf`	A GA-Based Pruning Fully Connected Network for Tuned Connections in Deep Networks. SMC Amin Khatami, Parham M. Kebria, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Asef Nazari, Marjan Shamszadeh, Thanh Nguyen, Saeid Nahavandi
2019	J	`jnl`	A Knowledge Discovery in Motion Sickness: A Comprehensive Literature Review. IEEE Access Afsaneh Koohestani, Darius Nahavandi, Houshyar Asadi, Parham M. Kebria, Abbas Khosravi, Roohallah Alizadehsani, Saeid Nahavandi
2019	B	`conf`	A Model Predictive Control-based Motion Cueing Algorithm using an optimized Nonlinear Scaling for Driving Simulators. SMC Houshyar Asadi, Arash Mohammadi, Shady M. K. Mohamed, Mohammad Reza Chalak Qazani, Chee Peng Lim, Abbas Khosravi, Saeid Nahavandi
2019	J	`jnl`	A Predictive KH-Based Model to Enhance the Performance of Industrial Electric Arc Furnaces. IEEE Trans. Ind. Electron. Abdollah Kavousi-Fard, Wencong Su, Tao Jin, Ameena Saad Al-Sumaiti, Haidar Samet, Abbas Khosravi
2019	—	`conf`	Adaptive Type-2 Fuzzy Control Scheme for Robust Teleoperation under Time-Varying Delay and Uncertainties. CASE Parham M. Kebria, Abbas Khosravi, Seyed Mohammad Jafar Jalali, Saeid Nahavandi
2019	B	`conf`	An efficient Neuroevolution Approach for Heart Disease Detection. SMC Seyed Mohammad Jafar Jalali, Mina Karimi, Abbas Khosravi, Saeid Nahavandi
2019	B	`conf`	Autonomous Robot Navigation System Using the Evolutionary Multi-Verse optimizer Algorithm. SMC Seyed Mohammad Jafar Jalali, Abbas Khosravi, Parham M. Kebria, Rachid Hedjam, Saeid Nahavandi
2019	J	`jnl`	Comparing the performance of different types of distributed fuzzy-based traffic signal controllers. J. Intell. Fuzzy Syst. Sahar Araghi, Abbas Khosravi, Douglas C. Creighton
2019	J	`jnl`	Control Methods for Internet-Based Teleoperation Systems: A Review. IEEE Trans. Hum. Mach. Syst. Parham M. Kebria, Hamid Abdi, Mohsen Moradi Dalvand, Abbas Khosravi, Saeid Nahavandi
2019	C	`conf`	Designing an H_infinity Fuzzy LMI-Based Consensus Protocol for Nonlinear Multi-agent Systems. CloudCom Pegah Tabarisaadi, Abbas Khosravi, Saeid Nahavandi
2019	—	`conf`	Drivers Awareness Evaluation using Physiological Measurement in a Driving Simulator. ICIT Afsaneh Koohestani, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi
2019	—	`conf`	Evaluating Architecture Impacts on Deep Imitation Learning Performance for Autonomous Driving. ICIT Parham M. Kebria, Roohallah Alizadehsani, Syed Moshfeq Salaken, Ibrahim Hossain, Abbas Khosravi, Hussain Mohammed Dipu Kabir, Afsaneh Koohestani, Houshyar Asadi, Saeid Nahavandi, Edward W. Tunstel, Mehrdad Saif
2019	—	`conf`	Evolving Artificial Neural Networks Using Butterfly Optimization Algorithm for Data Classification. ICONIP (1) Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Parham M. Kebria, Abbas Khosravi, Chee Peng Lim, Saeid Nahavandi
2019	—	`conf`	Experimental Comparison Study on Joint and Cartesian Space Control Schemes for a Teleoperation System Under Time-Varying Delay. ICIT Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi, Abdollah Homaifar, Mehrdad Saif
2019	B	`conf`	Generalized Noise Patterns for (N+1)/N-factor Non-linear Down-sampling. SMC Hussain Mohammed Dipu Kabir, Abbas Khosravi, Saeid Nahavandi
2019	J	`jnl`	Integration of Ensemble and Evolutionary Machine Learning Algorithms for Monitoring Diver Behavior Using Physiological Signals. IEEE Access Afsaneh Koohestani, Moloud Abdar, Abbas Khosravi, Saeid Nahavandi, Mahereh Koohestani
2019	J	`jnl`	Machine learning-based coronary artery disease diagnosis: A comprehensive review. Comput. Biol. Medicine Roohallah Alizadehsani, Moloud Abdar, Mohamad Roshanzamir, Abbas Khosravi, Parham M. Kebria, Fahime Khozeimeh, Saeid Nahavandi, Nizal Sarrafzadegan, U. Rajendra Acharya
2019	B	`conf`	Optimal Autonomous Driving Through Deep Imitation Learning and Neuroevolution. SMC Seyed Mohammad Jafar Jalali, Parham M. Kebria, Abbas Khosravi, Khaled Saleh, Darius Nahavandi, Saeid Nahavandi
2019	J	`jnl`	Optimal Uncertainty-guided Neural Network Training. CoRR Hussain Mohammed Dipu Kabir, Abbas Khosravi, Abdollah Kavousi-Fard, Saeid Nahavandi, Dipti Srinivasan
2019	—	`conf`	Parsimonious Evolutionary-based Model Development for Detecting Artery Disease. ICIT Seyed Mohammad Jafar Jalali, Abbas Khosravi, Roohallah Alizadehsani, Syed Moshfeq Salaken, Parham Mohsenzadeh Kebria, Rishi Puri, Saeid Nahavandi
2019	—	`conf`	Performance Comparison of Type-1 and Type-2 Neuro-Fuzzy Controllers for a Flexible Joint Manipulator. ICONIP (1) Afshar Shamsi Jokandan, Abbas Khosravi, Saeid Nahavandi
2019	C	`conf`	Probability Density Computation Neural Network for Time Series Data. CloudCom Hussain Mohammed Dipu Kabir, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi
2019	—	`conf`	Probability Density for Amazon Spot Instance Price. ICIT Hussain Mohammed Dipu Kabir, Abbas Khosravi, Mohammad Anwar Hosen, Saeid Nahavandi, Rajkumar Buyya
2019	—	`conf`	Robust Adaptive Control of Internet-based Bilateral Teleoperation Systems with Time-Varying Delay and Model Uncertainties. ICIT Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi, David Watters, Glenn Guest, Peng Shi
2019	—	`conf`	Robust Adaptive Synchronisation of a Single-Master Multi-Slave Teleoperation System over Delayed Communication. ICIT Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi, Fernando Bello, Suren Krishnan
2019	J	`jnl`	Seeded transfer learning for regression problems with deep learning. Expert Syst. Appl. Syed Moshfeq Salaken, Abbas Khosravi, Thanh Nguyen, Saeid Nahavandi
2019	—	`conf`	Type-2 Fuzzy Neural Network Synchronization of Teleoperation Systems with Delay and Uncertainties. CASE Parham M. Kebria, Abbas Khosravi, Seyed Mohammad Jafar Jalali, Saeid Nahavandi
2018	J	`jnl`	A sequential search-space shrinking using CNN transfer learning and a Radon projection pool for medical image retrieval. Expert Syst. Appl. Amin Khatami, Morteza Babaie, Hamid R. Tizhoosh, Abbas Khosravi, Thanh Nguyen, Saeid Nahavandi
2018	B	`conf`	Calibration Time Reduction Using Subjective Features Selection Based Transfer Learning For Multiclass BCI. SMC Ibrahim Hossain, Abbas Khosravi, Imali Hettiarachchi, Saeid Nahavandi
2018	—	`conf`	Deep Imitation Learning: The Impact of Depth on Policy Performance. ICONIP (1) Parham M. Kebria, Abbas Khosravi, Syed Moshfeq Salaken, Ibrahim Hossain, Hussain Mohammed Dipu Kabir, Afsaneh Koohestani, Roohallah Alizadehsani, Saeid Nahavandi
2018	Misc	`conf`	Drivers Performance Evaluation using Physiological Measurement in a Driving Simulator. DICTA Afsaneh Koohestani, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi
2018	J	`jnl`	Multiclass Informative Instance Transfer Learning Framework for Motor Imagery-Based Brain-Computer Interface. Comput. Intell. Neurosci. Ibrahim Hossain, Abbas Khosravi, Imali Hettiarachchi, Saeid Nahavandi
2018	—	`conf`	Neural Network Adaptive Control of Teleoperation Systems with Uncertainties and Time-Varying Delay. CASE Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi, Zoran Najdovski, Stephen John Hilton
2018	J	`jnl`	Neural Network-Based Uncertainty Quantification: A Survey of Methodologies and Applications. IEEE Access Hussain Mohammed Dipu Kabir, Abbas Khosravi, Mohammad Anwar Hosen, Saeid Nahavandi
2018	J	`jnl`	Non-invasive detection of coronary artery disease in high-risk patients based on the stenosis prediction of separate coronary arteries. Comput. Methods Programs Biomed. Roohallah Alizadehsani, Mohammad Javad Hosseini, Abbas Khosravi, Fahime Khozeimeh, Mohamad Roshanzamir, Nizal Sarrafzadegan, Saeid Nahavandi
2018	J	`jnl`	Optimal parameters of an ELM-based interval type 2 fuzzy logic system: a hybrid learning algorithm. Neural Comput. Appl. Saima Hassan, Mojtaba Ahmadieh Khanesar, Jafreezal Jaafar, Abbas Khosravi
2018	J	`jnl`	Parallel deep solutions for image retrieval from imbalanced medical imaging archives. Appl. Soft Comput. Amin Khatami, Morteza Babaie, Abbas Khosravi, Hamid R. Tizhoosh, Saeid Nahavandi
2018	B	`conf`	Partial Adversarial Training for Prediction Interval. IJCNN Hussain Mohammed Dipu Kabir, Abbas Khosravi, Mohammad Anwar Hosen, Saeid Nahavandi
2018	B	`conf`	Percentile range around the mean of center distance based informative transfer for motor imagery Brain-Computer Interface. IJCNN Ibrahim Hossain, Abbas Khosravi, Imali Hettiarachchi, Saeid Nahavandi
2018	B	`conf`	Semi-Supervised Transfer Learning with Genetic Algorithm Tuned Transformation and Novel Label Transfer Mechanism. SMC Syed Moshfeq Salaken, Abbas Khosravi, Thanh Nguyen, Saeid Nahavandi
2018	B	`conf`	Weighted Autocorrelation based Prediction Interval Optimization for Wind Power Generation. IJCNN Hussain Mohammed Dipu Kabir, Mohammad Anwar Hosen, Abbas Khosravi, Saeid Nahavandi
2017	—	`conf`	A Deep Learning-Based Model for Tactile Understanding on Haptic Data Percutaneous Needle Treatment. ICONIP (4) Amin Khatami, Yonghang Tai, Abbas Khosravi, Lei Wei, Mohsen Moradi Dalvand, Min Zou, Saeid Nahavandi
2017	—	`conf`	A Haptics Feedback Based-LSTM Predictive Model for Pericardiocentesis Therapy Using Public Introperative Data. ICONIP (5) Amin Khatami, Yonghang Tai, Abbas Khosravi, Lei Wei, Mohsen Moradi Dalvand, Jun Peng, Saeid Nahavandi
2017	—	`conf`	A Swarm Optimization-Based Kmedoids Clustering Technique for Extracting Melanoma Cancer Features. ICONIP (4) Amin Khatami, Saeed Mirghasemi, Abbas Khosravi, Chee Peng Lim, Houshyar Asadi, Saeid Nahavandi
2017	—	`conf`	A deep-structural medical image classification for a Radon-based image retrieval. CCECE Amin Khatami, Morteza Babaie, Abbas Khosravi, Hamid R. Tizhoosh, Syed Moshfeq Salaken, Saeid Nahavandi
2017	B	`conf`	A heterogeneous defense method using fuzzy decision making. FUZZ-IEEE A. A. Rezaei, R. Mohammadifar, Ehsan Lotfi, Abbas Khosravi, Saeid Nahavandi
2017	J	`jnl`	A new PSO-based approach to fire flame detection using K-Medoids clustering. Expert Syst. Appl. Amin Khatami, Saeed Mirghasemi, Abbas Khosravi, Chee Peng Lim, Saeid Nahavandi
2017	J	`jnl`	An expert system for selecting wart treatment method. Comput. Biol. Medicine Fahime Khozeimeh, Roohallah Alizadehsani, Mohamad Roshanzamir, Abbas Khosravi, Pouran Layegh, Saeid Nahavandi
2017	J	`jnl`	Comparative analysis of three approaches of antecedent part generation for an IT2 TSK FLS. Appl. Soft Comput. Saima Hassan, Mojtaba Ahmadieh Khanesar, Jafreezal Jaafar, Abbas Khosravi
2017	J	`jnl`	Extreme learning machine based transfer learning algorithms: A survey. Neurocomputing Syed Moshfeq Salaken, Abbas Khosravi, Thanh Nguyen, Saeid Nahavandi
2017	B	`conf`	Facial emotion recognition using emotional neural network and hybrid of fuzzy c-means and genetic algorithm. FUZZ-IEEE Ehsan Lotfi, Abbas Khosravi, Saeid Nahavandi
2017	B	`conf`	Hybrid multi-objective forecasting of solar photovoltaic output using Kalman filter based interval type-2 fuzzy logic system. FUZZ-IEEE Saima Hassan, Mojtaba Ahmadieh Khanesar, Amin Hajizadeh, Abbas Khosravi
2017	J	`jnl`	Influence of meta-heuristic optimization on the performance of adaptive interval type2-fuzzy traffic signal controllers. Expert Syst. Appl. Sahar Araghi, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi
2017	B	`conf`	Informative instance transfer learning with subject specific frequency responses for motor imagery brain computer interface. SMC Ibrahim Hossain, Abbas Khosravi, Imali Thanuja Hettiarachchi, Saeid Nahavandi
2017	—	`conf`	Lung cancer classification using deep learned features on low population dataset. CCECE Syed Moshfeq Salaken, Abbas Khosravi, Amin Khatami, Saeid Nahavandi, Mohammad Anwar Hosen
2017	J	`jnl`	Medical image analysis using wavelet transform and deep belief networks. Expert Syst. Appl. Amin Khatami, Abbas Khosravi, Thanh Nguyen, Chee Peng Lim, Saeid Nahavandi
2017	B	`conf`	Multiclass EEG data classification using fuzzy systems. FUZZ-IEEE Thanh Nguyen, Imali Hettiarachchi, Abbas Khosravi, Syed Moshfeq Salaken, Asim Bhatti, Saeid Nahavandi
2017	J	`jnl`	Output uncertainty score for decision making processes using interval type-2 fuzzy systems. Eng. Appl. Artif. Intell. Syed Moshfeq Salaken, Abbas Khosravi, Thanh Nguyen, Saeid Nahavandi
2017	—	`conf`	Prediction interval with examples of similar pattern and prediction strength. CCECE Hussain Mohammed Dipu Kabir, Mohammad Anwar Hosen, Saeid Nahavandi, Abbas Khosravi
2017	—	`conf`	Prediction interval-based controller for Chemical Reactor. CCECE Mohammad Anwar Hosen, Saeid Nahavandi, Abbas Khosravi, Peng Shi, Lachlan Sinnott
2017	J	`jnl`	Reactive Power Compensation in Electric Arc Furnaces Using Prediction Intervals. IEEE Trans. Ind. Electron. Abdollah Kavousi-Fard, Abbas Khosravi, Saeid Nahavandi
2017	—	`conf`	Weighted informative inverse active class selection for motor imagery brain computer interface. CCECE Ibrahim Hossain, Abbas Khosravi, Saeid Nahavandi
2016	B	`conf`	A Particle Swarm Optimization-based washout filter for improving simulator motion fidelity. SMC Houshyar Asadi, Arash Mohammadi, Shady M. K. Mohamed, Chee Peng Lim, Amin Khatami, Abbas Khosravi, Saeid Nahavandi
2016	—	`conf`	A Wavelet Deep Belief Network-Based Classifier for Medical Images. ICONIP (3) Amin Khatami, Abbas Khosravi, Chee Peng Lim, Saeid Nahavandi
2016	B	`conf`	A multi-objective genetic type-2 fuzzy extreme learning system for the identification of nonlinear dynamic systems. SMC Saima Hassan, Mojtaba Ahmadieh Khanesar, Jafreezal Jaafar, Abbas Khosravi
2016	B	`conf`	Active transfer learning and selective instance transfer with active learning for motor imagery based BCI. IJCNN Ibrahim Hossain, Abbas Khosravi, Saeid Nahavandi
2016	J	`jnl`	Coronary artery disease detection using computational intelligence methods. Knowl. Based Syst. Roohallah Alizadehsani, Mohammad Hossein Zangooei, Mohammad Javad Hosseini, Jafar Habibi, Abbas Khosravi, Mohamad Roshanzamir, Fahime Khozeimeh, Nizal Sarrafzadegan, Saeid Nahavandi
2016	J	`jnl`	Modification on enhanced Karnik-Mendel algorithm. Expert Syst. Appl. Syed Moshfeq Salaken, Abbas Khosravi, Saeid Nahavandi
2016	B	`conf`	Nonlinear programming problem solving based on winner take all emotional neural network for tensegrity structure design. IJCNN N. Lotfi, Ehsan Lotfi, R. Mirzaei, Abbas Khosravi, Saeid Nahavandi
2016	J	`jnl`	Optimal design of adaptive type-2 neuro-fuzzy systems: A review. Appl. Soft Comput. Saima Hassan, Mojtaba Ahmadieh Khanesar, Erdal Kayacan, Jafreezal Jaafar, Abbas Khosravi
2016	B	`conf`	Prediction granules for uncertainty modelling. FUZZ-IEEE Ehsan Lotfi, Abbas Khosravi, Saeid Nahavandi
2016	B	`conf`	Prediction interval-based ANFIS controller for nonlinear processes. IJCNN Mohammad Anwar Hosen, Abbas Khosravi, Saeid Nahavandi, Lachlan Sinnott
2016	B	`conf`	RNA-seq data analysis using nonparametric Gaussian process models. IJCNN Thanh Nguyen, Saeid Nahavandi, Douglas C. Creighton, Abbas Khosravi
2016	J	`jnl`	Wind ramp event prediction with parallelized Gradient Boosted Regression Trees. CoRR Saurav Gupta, Nitin Anand Shrivastava, Abbas Khosravi, Bijaya Ketan Panigrahi
2016	B	`conf`	Wind ramp event prediction with parallelized gradient boosted regression trees. IJCNN Saurav Gupta, Nitin Anand Shrivastava, Abbas Khosravi, Bijaya Ketan Panigrahi
2015	B	`conf`	A New Color Space Based on K-Medoids Clustering for Fire Detection. SMC Amin Khatami, Saeed Mirghasemi, Abbas Khosravi, Saeid Nahavandi
2015	J	`jnl`	A novel aggregate gene selection method for microarray data classification. Pattern Recognit. Lett. Thanh Nguyen, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi
2015	J	`jnl`	A review on computational intelligence methods for controlling traffic signal timing. Expert Syst. Appl. Sahar Araghi, Abbas Khosravi, Douglas C. Creighton
2015	B	`conf`	An efficient hybrid algorithm for fire flame detection. IJCNN Seyed Amin Khatami, Saeed Mirghasemi, Abbas Khosravi, Saeid Nahavandi
2015	J	`jnl`	Approximation of centroid end-points and switch points for replacing type reduction algorithms. Int. J. Approx. Reason. Syed Moshfeq Salaken, Abbas Khosravi, Saeid Nahavandi, Dongrui Wu
2015	J	`jnl`	Automatic spike sorting by unsupervised clustering with diffusion maps and silhouettes. Neurocomputing Thanh Nguyen, Asim Bhatti, Abbas Khosravi, Sherif Haggag, Douglas C. Creighton, Saeid Nahavandi
2015	J	`jnl`	Classification of healthcare data using genetic fuzzy logic system and wavelets. Expert Syst. Appl. Thanh Nguyen, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi
2015	J	`jnl`	Constructing Optimal Prediction Intervals by Using Neural Networks and Bootstrap Method. IEEE Trans. Neural Networks Learn. Syst. Abbas Khosravi, Saeid Nahavandi, Dipti Srinivasan, Rihanna Khosravi
2015	—	`conf`	Data Mining Analysis of an Urban Tunnel Pressure Drop Based on CFD Data. ICONIP (4) Esmaeel Eftekharian, Seyed Amin Khatami, Abbas Khosravi, Saeid Nahavandi
2015	—	`conf`	Design of Distributed Adaptive Neural Traffic Signal Timing Controller by Cuckoo Search Optimization. ICONIP (2) Sahar Araghi, Abbas Khosravi, Douglas C. Creighton
2015	B	`conf`	Design of an Optimal ANFIS Traffic Signal Controller by Using Cuckoo Search for an Isolated Intersection. SMC Sahar Araghi, Abbas Khosravi, Douglas C. Creighton
2015	—	`conf`	Distributed Q-learning Controller for a Multi-Intersection Traffic Network. ICONIP (1) Sahar Araghi, Abbas Khosravi, Douglas C. Creighton
2015	J	`jnl`	EEG data classification using wavelet features selected by Wilcoxon statistics. Neural Comput. Appl. Thanh Nguyen, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi
2015	B	`conf`	EEG signal analysis for BCI application using fuzzy system. IJCNN Thanh Thi Nguyen, Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, Imali Hettiarachchi
2015	J	`jnl`	EEG signal classification for BCI applications by wavelets and interval type-2 fuzzy logic systems. Expert Syst. Appl. Thanh Nguyen, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi
2015	B	`conf`	Effect of different initializations on EKM algorithm. FUZZ-IEEE Syed Moshfeq Salaken, Abbas Khosravi, Saeid Nahavandi, Dongrui Wu
2015	—	`conf`	Forecasting Bike Sharing Demand Using Fuzzy Inference Mechanism. ICONIP (3) Syed Moshfeq Salaken, Mohammad Anwar Hosen, Abbas Khosravi, Saeid Nahavandi
2015	J	`jnl`	Fuzzy Portfolio Allocation Models Through a New Risk Measure and Fuzzy Sharpe Ratio. IEEE Trans. Fuzzy Syst. Thanh Thi Nguyen, Lee Gordon-Brown, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi
2015	J	`jnl`	Fuzzy system with tabu search learning for classification of motor imagery data. Biomed. Signal Process. Control. Thanh Nguyen, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi
2015	J	`jnl`	Hidden Markov models for cancer classification using gene expression profiles. Inf. Sci. Thanh Nguyen, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi
2015	—	`conf`	Hybrid Controller with the Combination of FLC and Neural Network-Based IMC for Nonlinear Processes. ICONIP (3) Mohammad Anwar Hosen, Syed Moshfeq Salaken, Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton
2015	—	`conf`	Hybrid Model for the Training of Interval Type-2 Fuzzy Logic System. ICONIP (1) Saima Hassan, Abbas Khosravi, Jafreezal Jaafar, Mojtaba Ahmadieh Khanesar
2015	B	`conf`	Improving load forecast accuracy by clustering consumers using smart meter data. IJCNN Abbas Shahzadeh, Abbas Khosravi, Saeid Nahavandi
2015	—	`conf`	Improving the Quality of Load Forecasts Using Smart Meter Data. ICONIP (4) Abbas Shahzadeh, Abbas Khosravi, Saeid Nahavandi
2015	J	`jnl`	Improving the Quality of Prediction Intervals Through Optimal Aggregation. IEEE Trans. Ind. Electron. Mohammad Anwar Hosen, Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton
2015	J	`jnl`	Incorporating Wind Power Forecast Uncertainties Into Stochastic Unit Commitment Using Neural Network-Based Prediction Intervals. IEEE Trans. Neural Networks Learn. Syst. Hao Quan, Dipti Srinivasan, Abbas Khosravi
2015	J	`jnl`	Intelligent cuckoo search optimized traffic signal controllers for multi-intersection network. Expert Syst. Appl. Sahar Araghi, Abbas Khosravi, Douglas C. Creighton
2015	B	`conf`	Linear approximation of Karnik-Mendel type reduction algorithm. FUZZ-IEEE Syed Moshfeq Salaken, Abbas Khosravi, Saeid Nahavandi, Dongrui Wu
2015	B	`conf`	Mass spectrometry-based proteomic data for cancer diagnosis using interval type-2 fuzzy system. FUZZ-IEEE Thanh Nguyen, Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton
2015	J	`jnl`	Medical data classification using interval type-2 fuzzy logic system and wavelets. Appl. Soft Comput. Thanh Nguyen, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi
2015	J	`jnl`	Multi-Output Interval Type-2 Fuzzy Logic System for Protein Secondary Structure Prediction. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Thanh Thi Nguyen, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi
2015	J	`jnl`	Patient admission prediction using a pruned fuzzy min-max neural network with rule extraction. Neural Comput. Appl. Jin Wang, Chee Peng Lim, Douglas C. Creighton, Abbas Khosravi, Saeid Nahavandi, Julien Ugon, Peter Vamplew, Andrew Stranieri, Laura Martin, Anton Freischmidt
2015	J	`jnl`	Prediction Interval Estimation of Electricity Prices Using PSO-Tuned Support Vector Machines. IEEE Trans. Ind. Informatics Nitin Anand Shrivastava, Abbas Khosravi, Bijaya Ketan Panigrahi
2015	—	`conf`	Prediction Interval-Based Control of Nonlinear Systems Using Neural Networks. ICONIP (3) Mohammad Anwar Hosen, Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton
2015	B	`conf`	Prediction interval estimation for wind farm power generation forecasts using support vector machines. IJCNN Nitin Anand Shrivastava, Abbas Khosravi, Bijaya K. Panigrahi
2015	B	`conf`	Prediction interval-based neural network controller for nonlinear processes. IJCNN Mohammad Anwar Hosen, Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Syed Moshfeq Salaken
2015	B	`conf`	Switch point finding using polynomial regression for fuzzy type reduction algorithms. FUZZ-IEEE Syed Moshfeq Salaken, Abbas Khosravi, Saeid Nahavandi, Dongrui Wu
2015	—	`conf`	Training of interval type-2 fuzzy logic system using extreme learning machine for load forecasting. IMCOM Saima Hassan, Abbas Khosravi, Jafreezal Jaafar
2014	B	`conf`	A novel fuzzy multi-objective framework to construct optimal prediction intervals for wind power forecast. IJCNN Abdollah Kavousi-Fard, Abbas Khosravi, Saeid Nahavandi
2014	—	`conf`	ANFIS Traffic Signal Controller for an Isolated Intersection. IJCCI (FCTA) Sahar Araghi, Abbas Khosravi, Douglas C. Creighton
2014	B	`conf`	Aggregation of Pi-based forecast to enhance prediction accuracy. IJCNN Mohammad Anwar Hosen, Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton
2014	J	`jnl`	An interval type-2 fuzzy logic system-based method for prediction interval construction. Appl. Soft Comput. Abbas Khosravi, Saeid Nahavandi
2014	—	`conf`	Application of Cuckoo Search for Design Optimization of Heat Exchangers. ICONIP (2) Rihanna Khosravi, Abbas Khosravi, Saeid Nahavandi
2014	B	`conf`	Assessing performance of genetic and firefly algorithms for optimal design of heat exchangers. SMC Rihanna Khosravi, Abbas Khosravi, Saeid Nahavandi
2014	B	`conf`	Classification of neural action potentials using mean shift clustering. SMC Thanh Nguyen, Abbas Khosravi, Imali Hettiarachchi, Douglas C. Creighton, Saeid Nahavandi
2014	J	`jnl`	Effects of type reduction algorithms on forecasting accuracy of IT2FLS models. Appl. Soft Comput. Abbas Khosravi, Saeid Nahavandi
2014	—	`conf`	Electricity load and price forecasting with influential factors in a deregulated power industry. SoSE Saima Hassan, Abbas Khosravi, Jafreezal Jaafar, Muhammad Qamar Raza
2014	J	`jnl`	Load Forecasting Using Interval Type-2 Fuzzy Logic Systems: Optimal Type Reduction. IEEE Trans. Ind. Informatics Abbas Khosravi, Saeid Nahavandi
2014	B	`conf`	Medical diagnosis by fuzzy standard additive model with wavelets. FUZZ-IEEE Thanh Nguyen, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi
2014	B	`conf`	Neural signal analysis by landmark-based spectral clustering with estimated number of clusters. IJCNN Thanh Nguyen, Abbas Khosravi, Asim Bhatti, Douglas C. Creighton, Saeid Nahavandi
2014	B	`conf`	Optimal design of traffic signal controller using neural networks and fuzzy logic systems. IJCNN Sahar Araghi, Abbas Khosravi, Douglas C. Creighton
2014	B	`conf`	Optimal fuzzy traffic signal controller for an isolated intersection. SMC Sahar Araghi, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi
2014	J	`jnl`	Particle swarm optimization for construction of neural network-based prediction intervals. Neurocomputing Hao Quan, Dipti Srinivasan, Abbas Khosravi
2014	B	`conf`	Prediction interval estimation for electricity price and demand using support vector machines. IJCNN Nitin Anand Shrivastava, Abbas Khosravi, Bijaya Ketan Panigrahi
2014	J	`jnl`	Short-Term Load and Wind Power Forecasting Using Neural Network-Based Prediction Intervals. IEEE Trans. Neural Networks Learn. Syst. Hao Quan, Dipti Srinivasan, Abbas Khosravi
2014	B	`conf`	Solving fuzzy programming with a consistent fuzzy number ranking. SMC Thanh Nguyen, Vincent Lee, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi
2014	B	`conf`	Structural classification of proteins through amino acid sequence using interval type-2 fuzzy logic system. FUZZ-IEEE Thanh Nguyen, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi
2014	B	`conf`	Wind power forecasting using emotional neural networks. SMC Ehsan Lotfi, Abbas Khosravi, M.-R. Akbarzadeh-T., Saeid Nahavandi
2013	B	`conf`	A New Approach Based on Support Vector Machine for Solving Stochastic Optimization. SMC Seyed Amin Khatami, Abbas Khosravi, Saeid Nahavandi
2013	B	`conf`	A new neural network-based type reduction algorithm for interval type-2 fuzzy logic systems. FUZZ-IEEE Abbas Khosravi, Saeid Nahavandi, Rihanna Khosravi
2013	J	`jnl`	A novel modular Q-learning architecture to improve performance under incomplete learning in a grid soccer game. Eng. Appl. Artif. Intell. Sahar Araghi, Abbas Khosravi, Michael Johnstone, Douglas C. Creighton
2013	B	`conf`	Artificial Neural Network Analysis of Twin Tunnelling-Induced Ground Settlements. SMC Seyed Amin Khatami, Alireza Mirhabibi, Abbas Khosravi, Saeid Nahavandi
2013	B	`conf`	Bayesian Model Averaging of Load Demand Forecasts from Neural Network Models. SMC Saima Hassan, Abbas Khosravi, Jafreezal Jaafar
2013	—	`conf`	Construction of neural network-based prediction intervals for short-term electrical load forecasting. CIASG Hao Quan, Dipti Srinivasan, Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton
2013	B	`conf`	Control of Polystyrene Batch Reactor Using Fuzzy Logic Controller. SMC Mohammad Anwar Hosen, Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton
2013	B	`conf`	Epidemiological dynamics modeling by fusion of soft computing techniques. IJCNN Thanh Nguyen, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi
2013	B	`conf`	Evaluation and comparison of type reduction algorithms from a forecast accuracy perspective. FUZZ-IEEE Abbas Khosravi, Saeid Nahavandi, Rihanna Khosravi
2013	C	`conf`	Feature Selection for Neural Network-Based Interval Forecasting of Electricity Demand Data. ICANN Mashud Rana, Irena Koprinska, Abbas Khosravi
2013	B	`conf`	Intelligent Traffic Light Control of Isolated Intersections Using Machine Learning Methods. SMC Sahar Araghi, Abbas Khosravi, Michael Johnstone, Douglas C. Creighton
2013	B	`conf`	Neural network and interval type-2 fuzzy system for stock price forecasting. FUZZ-IEEE Thanh Nguyen, Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton
2013	B	`conf`	Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting. IJCNN Saima Hassan, Abbas Khosravi, Jafreezal Jaafar
2013	B	`conf`	Path Planning for CNC Machines Considering Centripetal Acceleration and Jerk. SMC Abbas Shahzadeh, Abbas Khosravi, Saeid Nahavandi
2013	B	`conf`	Prediction intervals for electricity load forecasting using neural networks. IJCNN Mashud Rana, Irena Koprinska, Abbas Khosravi, Vassilios G. Agelidis
2013	—	`conf`	Q-learning method for controlling traffic signal phase time in a single intersection. ITSC Sahar Araghi, Abbas Khosravi, Michael Johnstone, Douglas C. Creighton
2013	B	`conf`	Variance-Covariance Based Weighing for Neural Network Ensembles. SMC Saima Hassan, Abbas Khosravi, Jafreezal Jaafar
2012	B	`conf`	Construction of neural network-based prediction intervals using particle swarm optimization. IJCNN Hao Quan, Dipti Srinivasan, Abbas Khosravi
2012	—	`conf`	Load Forecasting Accuracy through Combination of Trimmed Forecasts. ICONIP (1) Saima Hassan, Abbas Khosravi, Jafreezal Jaafar, Samir B. Belhaouari
2012	B	`conf`	Prediction interval construction using interval type-2 Fuzzy Logic systems. FUZZ-IEEE Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Reihaneh Naghavizadeh
2012	B	`conf`	Uncertainty quantification for wind farm power generation. IJCNN Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Reihaneh Naghavizadeh
2011	J	`jnl`	Comprehensive Review of Neural Network-Based Prediction Intervals and New Advances. IEEE Trans. Neural Networks Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Amir F. Atiya
2011	B	`conf`	Hybrid neural-evolutionary model for electricity price forecasting. IJCNN Dipti Srinivasan, Zhang Guofan, Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton
2011	J	`jnl`	Lower Upper Bound Estimation Method for Construction of Neural Network-Based Prediction Intervals. IEEE Trans. Neural Networks Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Amir F. Atiya
2011	B	`conf`	Optimizing the quality of bootstrap-based prediction intervals. IJCNN Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Dipti Srinivasan
2011	J	`jnl`	Prediction Interval Construction and Optimization for Adaptive Neurofuzzy Inference Systems. IEEE Trans. Fuzzy Syst. Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton
2011	J	`jnl`	Prediction Intervals to Account for Uncertainties in Travel Time Prediction. IEEE Trans. Intell. Transp. Syst. Abbas Khosravi, Ehsan Mazloumi, Saeid Nahavandi, Douglas C. Creighton, J. W. C. van Lint
2011	B	`conf`	Short term load forecasting using Interval Type-2 Fuzzy Logic Systems. FUZZ-IEEE Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton
2010	J	`jnl`	A prediction interval-based approach to determine optimal structures of neural network metamodels. Expert Syst. Appl. Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton
2010	—	`conf`	Developing a Robust Prediction Interval Based Criterion for Neural Network Model Selection. ICONIP (2) Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton
2010	C	`conf`	Predicting amount of saleable products using neural network metamodels of casthouses. ICARCV Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Bruce Gunn
2009	B	`conf`	Constructing prediction intervals for neural network metamodels of complex systems. IJCNN Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton
2009	B	`conf`	Developing optimal neural network metamodels based on prediction intervals. IJCNN Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton
2009	—	`conf`	Improving Prediction Interval Quality: A Genetic Algorithm-Based Method Applied to Neural Networks. ICONIP (2) Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton
2009	—	`conf`	Integrating Simulated Annealing and Delta Technique for Constructing Optimal Prediction Intervals. ICONIP (1) Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton
2008	—	`ch.`	Multiway Principal Component Analysis (MPCA) for Upstream/Downstream Classification of Voltage Sags Gathered in Distribution Substations. Advances of Computational Intelligence in Industrial Systems Abbas Khosravi, Joaquím Meléndez, Joan Colomer, Jorge Sánchez
2007	C	`conf`	A Hybrid Method for Fault Detection and Modelling using Modal Intervals and ANFIS. ACC Abbas Khosravi, Joaquim Armengol Llobet
2007	—	`conf`	A New Preprocessing Approach to Preparation of Binary Patterns for FAM Neural Networks. EUSFLAT Conf. (2) M. Chitsaz, N. Sadati, Roohollah Barzamini, Javid Jouzdani, Abbas Khosravi
2007	B	`conf`	An Interval Intelligent-based Approach for Fault Detection and Modelling. FUZZ-IEEE Abbas Khosravi, Joaquim Armengol Llobet, Esteban R. Gelso
2007	—	`conf`	Classification of Voltage Sags Based on MPCA Models. IbPRIA (1) Abbas Khosravi, Joaquím Meléndez, Joan Colomer
2007	—	`conf`	Integrating a Feature Selection Algorithm for Classification of Voltage Sags Originated in Transmission and Distribution Networks. CCIA Abbas Khosravi, Toni Martinez, Joaquím Meléndez, Joan Colomer, Jorge Sánchez
2007	—	`conf`	Skew-Tree Based Multistage Fuzzy Controller for Nonlinear Systems. EUSFLAT Conf. (2) Abbas Khosravi, Jie Lu, Xianyi Zeng, Roohollah Barzamini
2005	B	`conf`	A neuro-fuzzy based sensor and actuator fault estimation scheme for unknown nonlinear systems. IJCNN Abbas Khosravi, Heidar Ali Talebi, Mehdi Karrari
2005	C	`conf`	Fault detection and isolation for unknown nonlinear systems using expert methods. CCA Abbas Khosravi, Heidar Ali Talebi, Mehdi Karrari
2005	B	`conf`	Short term load forecasting for Iran National Power System and its regions using multi layer perceptron and fuzzy inference systems. IJCNN Roohollah Barzamini, Mohammad Bagher Menhaj, Abbas Khosravi, Shadi Kamalvand