default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAbbas Khosravi
Person information
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j116]Afsana Ahmed Munia, Moloud Abdar
, Mehedi Hasan, Mohammad S. Jalali, Biplab Banerjee, Abbas Khosravi, Ibrahim Hossain, Huazhu Fu, Alejandro F. Frangi:
Attention-guided hierarchical fusion U-Net for uncertainty-driven medical image segmentation. Inf. Fusion 115: 102719 (2025)- 2024
- [j115]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) - [j114]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:
Uncertainty aware neural network from similarity and sensitivity. Appl. Soft Comput. 149(Part A): 111027 (2024) - [j113]Behrouz Ahadzadeh, Moloud Abdar, Fatemeh Safara, Leyla Aghaei, Seyedali Mirjalili, Abbas Khosravi, Salvador García, Fakhri Karray, U. Rajendra Acharya:
Improved binary differential evolution with dimensionality reduction mechanism and binary stochastic search for feature selection. Appl. Soft Comput. 151: 111141 (2024) - [j112]Ali Al Bataineh, Seyed Mohammad Jafar Jalali, Seyed Jalaleddin Mousavirad, Amirmehdi Yazdani, Syed Mohammed Shamsul Islam, Abbas Khosravi:
An efficient hybrid extreme learning machine and evolutionary framework with applications for medical diagnosis. Expert Syst. J. Knowl. Eng. 41(4) (2024) - [j111]Behrouz Ahadzadeh, Moloud Abdar, Mahdieh Foroumandi, Fatemeh Safara, Abbas Khosravi, Salvador García, Ponnuthurai Nagaratnam Suganthan:
UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data. Swarm Evol. Comput. 91: 101715 (2024) - [j110]Pegah Tabarisaadi, Abbas Khosravi, Saeid Nahavandi, Miadreza Shafie-Khah, João P. S. Catalão:
An Optimized Uncertainty-Aware Training Framework for Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6928-6935 (2024) - [i45]Farhad Nazari, Darius Nahavandi, Navid Mohajer, Abbas Khosravi:
Comparison of Deep Learning Techniques on Human Activity Recognition using Ankle Inertial Signals. CoRR abs/2403.04387 (2024) - [i44]Farhad Nazari, Navid Mohajer, Darius Nahavandi, Abbas Khosravi:
Comparison of gait phase detection using traditional machine learning and deep learning techniques. CoRR abs/2403.05595 (2024) - [i43]Sheikh Mohammed Shariful Islam, Moloud Abrar, Teketo Tegegne, Liliana Loranjo, Chandan Karmakar, Md. Abdul Awal, Md. Shahadat Hossain, Muhammad Ashad Kabir, Mufti Mahmud, Abbas Khosravi, George Siopis, Jeban Chandir Moses, Ralph Maddison:
Machine Learning Models for the Identification of Cardiovascular Diseases Using UK Biobank Data. CoRR abs/2407.16721 (2024) - 2023
- [j109]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:
ALEC: Active learning with ensemble of classifiers for clinical diagnosis of coronary artery disease. Comput. Biol. Medicine 158: 106841 (2023) - [j108]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:
Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review. Comput. Biol. Medicine 160: 106998 (2023) - [j107]Maryam Habibpour, Hassan Gharoun, Mohammadreza Mehdipour, AmirReza Tajally, Hamzeh Asgharnezhad, Afshar Shamsi Jokandan, Abbas Khosravi, Saeid Nahavandi:
Uncertainty-aware credit card fraud detection using deep learning. Eng. Appl. Artif. Intell. 123(Part A): 106248 (2023) - [j106]Hossein Mehnatkesh, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Saeid Nahavandi:
An intelligent driven deep residual learning framework for brain tumor classification using MRI images. Expert Syst. Appl. 213(Part): 119087 (2023) - [j105]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) - [j104]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:
Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review. Inf. Fusion 93: 85-117 (2023) - [j103]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:
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 97: 101813 (2023) - [j102]Reyhane Ghaffari, Mohammad Sadegh Helfroush, Abbas Khosravi, Kamran Kazemi, Habibollah Danyali, Leszek Rutkowski:
Toward domain adaptation with open-set target data: Review of theory and computer vision applications. Inf. Fusion 100: 101912 (2023) - [j101]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) - [j100]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:
Swarm Intelligence in Internet of Medical Things: A Review. Sensors 23(3): 1466 (2023) - [j99]Hussain Mohammed Dipu Kabir, Moloud Abdar, Abbas Khosravi, Seyed Mohammad Jafar Jalali, Amir F. Atiya, Saeid Nahavandi, Dipti Srinivasan:
SpinalNet: Deep Neural Network With Gradual Input. IEEE Trans. Artif. Intell. 4(5): 1165-1177 (2023) - [j98]Farhad Nazari, Navid Mohajer, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi:
Applied Exoskeleton Technology: A Comprehensive Review of Physical and Cognitive Human-Robot Interaction. IEEE Trans. Cogn. Dev. Syst. 15(3): 1102-1122 (2023) - [j97]Behrouz Ahadzadeh, Moloud Abdar, Fatemeh Safara, Abbas Khosravi, Mohammad Bagher Menhaj, Ponnuthurai Nagaratnam Suganthan:
SFE: A Simple, Fast, and Efficient Feature Selection Algorithm for High-Dimensional Data. IEEE Trans. Evol. Comput. 27(6): 1896-1911 (2023) - [j96]Moloud Abdar, Mohammad Amin Fahami, Leonardo Rundo, Petia Radeva, Alejandro F. Frangi, U. Rajendra Acharya, Abbas Khosravi, Hak-Keung Lam, Alexander Jung, Saeid Nahavandi:
Hercules: Deep Hierarchical Attentive Multilevel Fusion Model With Uncertainty Quantification for Medical Image Classification. IEEE Trans. Ind. Informatics 19(1): 274-285 (2023) - [j95]Parul Arora, Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Bijaya K. Panigrahi, Ponnuthurai N. Suganthan, Abbas Khosravi:
Probabilistic Wind Power Forecasting Using Optimized Deep Auto-Regressive Recurrent Neural Networks. IEEE Trans. Ind. Informatics 19(3): 2814-2825 (2023) - [j94]Houshyar Asadi, Tobias Bellmann, Shady M. K. Mohamed, Chee Peng Lim, Abbas Khosravi, Saeid Nahavandi:
Adaptive Motion Cueing Algorithm Using Optimized Fuzzy Control System for Motion Simulators. IEEE Trans. Intell. Veh. 8(1): 390-403 (2023) - [c142]Mohamad Roshanzamir, Roohallah Alizadehsani, Mahdi Roshanzamir, Afshin Shoeibi, Juan Manuel Górriz, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya:
Using Data Mining Techniques to Analyze Facial Expression Motion Vectors. DIS 2023: 1-19 - [i42]Behrouz Ahadzadeh, Moloud Abdar, Fatemeh Safara, Abbas Khosravi, Mohammad Bagher Menhaj, Ponnuthurai Nagaratnam Suganthan:
SFE: A Simple, Fast and Efficient Feature Selection Algorithm for High-Dimensional Data. CoRR abs/2303.10182 (2023) - [i41]Mehedi Hasan, Moloud Abdar, Abbas Khosravi, Uwe Aickelin, Pietro Lio', Ibrahim Hossain, Ashikur Rahman, Saeid Nahavandi:
Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing. CoRR abs/2304.04906 (2023) - [i40]Moloud Abdar, Meenakshi Kollati, Swaraja Kuraparthi, Farhad Pourpanah, Daniel McDuff, Mohammad Ghavamzadeh, Shuicheng Yan, Abduallah Mohamed, Abbas Khosravi, Erik Cambria, Fatih Porikli:
A Review of Deep Learning for Video Captioning. CoRR abs/2304.11431 (2023) - [i39]Hussain Mohammed Dipu Kabir, Subrota Kumar Mondal, Sadia Khanam, Abbas Khosravi, Shafin Rahman, Mohammad Reza Chalak Qazani, Roohallah Alizadehsani, Houshyar Asadi, Shadi Mohamed, Saeid Nahavandi, U. Rajendra Acharya:
Uncertainty Aware Neural Network from Similarity and Sensitivity. CoRR abs/2304.14925 (2023) - [i38]Maryam Zare, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi:
A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges. CoRR abs/2309.02473 (2023) - [i37]Maryam Zare, Parham M. Kebria, Abbas Khosravi:
Leveraging Optimal Transport for Enhanced Offline Reinforcement Learning in Surgical Robotic Environments. CoRR abs/2310.08841 (2023) - 2022
- [j93]Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Parisa Moridian, Roohallah Alizadehsani, Assef Zare, Abbas Khosravi, Abdulhamit Subasi, U. Rajendra Acharya, Juan Manuel Górriz:
Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies. Biomed. Signal Process. Control. 73: 103417 (2022) - [j92]Hussain Mohammed Dipu Kabir, Sadia Khanam, Fahime Khozeimeh, Abbas Khosravi, Subrota Kumar Mondal, Saeid Nahavandi, U. Rajendra Acharya:
Aleatory-aware deep uncertainty quantification for transfer learning. Comput. Biol. Medicine 143: 105246 (2022) - [j91]Pegah Tabarisaadi, Abbas Khosravi, Saeid Nahavandi:
Uncertainty-aware skin cancer detection: The element of doubt. Comput. Biol. Medicine 144: 105357 (2022) - [j90]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:
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works. Comput. Biol. Medicine 149: 106053 (2022) - [j89]Darius Nahavandi, Roohallah Alizadehsani, Abbas Khosravi, U. Rajendra Acharya:
Application of artificial intelligence in wearable devices: Opportunities and challenges. Comput. Methods Programs Biomed. 213: 106541 (2022) - [j88]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Subrota Kumar Mondal, Mustaneer Rahman, Saeid Nahavandi, Rajkumar Buyya:
Uncertainty-aware Decisions in Cloud Computing: Foundations and Future Directions. ACM Comput. Surv. 54(4): 74:1-74:30 (2022) - [j87]Roohallah Alizadehsani, Mohamad Roshanzamir, Moloud Abdar, Adham Beykikhoshk, Abbas Khosravi, Saeid Nahavandi, Pawel Plawiak, Ru San Tan, U. Rajendra Acharya:
Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries. Expert Syst. J. Knowl. Eng. 39(7) (2022) - [j86]Seyed Mohammad Jafar Jalali, Milad Ahmadian, Sajad Ahmadian, Rachid Hedjam, Abbas Khosravi, Saeid Nahavandi:
X-ray image based COVID-19 detection using evolutionary deep learning approach. Expert Syst. Appl. 201: 116942 (2022) - [j85]Zakaria Senousy, Mohammed M. Abdelsamea, Mohamed Medhat Gaber, Moloud Abdar, U. Rajendra Acharya, Abbas Khosravi, Saeid Nahavandi:
MCUa: Multi-Level Context and Uncertainty Aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification. IEEE Trans. Biomed. Eng. 69(2): 818-829 (2022) - [j84]Seyede Zahra Tajalli, Abdollah Kavousi-Fard, Mohammad Mardaneh, Abbas Khosravi, Roozbeh Razavi-Far:
Uncertainty-Aware Management of Smart Grids Using Cloud-Based LSTM-Prediction Interval. IEEE Trans. Cybern. 52(10): 9964-9977 (2022) - [j83]Parul Arora, Abbas Khosravi, Bijaya K. Panigrahi, Ponnuthurai N. Suganthan:
Remodelling State-Space Prediction With Deep Neural Networks for Probabilistic Load Forecasting. IEEE Trans. Emerg. Top. Comput. Intell. 6(3): 628-637 (2022) - [j82]Mojtaba Mohammadi, Abdollah Kavousi-Fard, Morteza Dabbaghjamanesh, Amir Farughian, Abbas Khosravi:
Effective Management of Energy Internet in Renewable Hybrid Microgrids: A Secured Data Driven Resilient Architecture. IEEE Trans. Ind. Informatics 18(3): 1896-1904 (2022) - [j81]Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Abdollah Kavousi-Fard, Abbas Khosravi, Saeid Nahavandi:
Automated Deep CNN-LSTM Architecture Design for Solar Irradiance Forecasting. IEEE Trans. Syst. Man Cybern. Syst. 52(1): 54-65 (2022) - [c141]Farhad Nazari, Navid Mohajer, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi:
Comparison Study of Inertial Sensor Signal Combination for Human Activity Recognition based on Convolutional Neural Networks. HSI 2022: 1-6 - [c140]Farhad Nazari, Navid Mohajer, Darius Nahavandi, Abbas Khosravi:
Comparison of gait phase detection using traditional machine learning and deep learning techniques. SMC 2022: 403-408 - [c139]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:
CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 Diagnosis. SMC 2022: 2237-2243 - [c138]Farhad Nazari, Darius Nahavandi, Navid Mohajer, Abbas Khosravi:
Comparison of Deep Learning Techniques on Human Activity Recognition using Ankle Inertial Signals. SMC 2022: 2251-2256 - [c137]Anushri Rajendran, Parham M. Kebria, Navid Mohajer, Abbas Khosravi, Saeid Nahavandi:
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 2022: 2569-2574 - [i36]Simindokht Jahangard, Mahdi Bonyani, Abbas Khosravi:
DoubleU-Net++: Architecture with Exploit Multiscale Features for Vertebrae Segmentation. CoRR abs/2201.12389 (2022) - [i35]Mehedi Hasan, Abbas Khosravi, Ibrahim Hossain, Ashikur Rahman, Saeid Nahavandi:
Controlled Dropout for Uncertainty Estimation. CoRR abs/2205.03109 (2022) - [i34]Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Parisa Moridian, Abbas Khosravi, Assef Zare, Juan Manuel Górriz, Amir Hossein Chale-Chale, Ali Khadem, U. Rajendra Acharya:
Automatic Diagnosis of Schizophrenia and Attention Deficit Hyperactivity Disorder in rs-fMRI Modality using Convolutional Autoencoder Model and Interval Type-2 Fuzzy Regression. CoRR abs/2205.15858 (2022) - [i33]Farhad Nazari, Navid Mohajer, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi:
Comparison Study of Inertial Sensor Signal Combination for Human Activity Recognition based on Convolutional Neural Networks. CoRR abs/2206.04480 (2022) - [i32]Farhad Nazari, Darius Nahavandi, Navid Mohajer, Abbas Khosravi:
Human Activity Recognition from Knee Angle Using Machine Learning Techniques. CoRR abs/2206.04487 (2022) - [i31]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:
Automatic Autism Spectrum Disorder Detection Using Artificial Intelligence Methods with MRI Neuroimaging: A Review. CoRR abs/2206.11233 (2022) - [i30]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:
CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 Diagnosis. CoRR abs/2209.09556 (2022) - [i29]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:
Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence. CoRR abs/2210.14611 (2022) - [i28]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:
Automated Diagnosis of Cardiovascular Diseases from Cardiac Magnetic Resonance Imaging Using Deep Learning Models: A Review. CoRR abs/2210.14909 (2022) - 2021
- [j80]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Abdollah Kavousi-Fard, Saeid Nahavandi, Dipti Srinivasan:
Optimal uncertainty-guided neural network training. Appl. Soft Comput. 99: 106878 (2021) - [j79]Seyed Mohammad Jafar Jalali, Milad Ahmadian, Sajad Ahmadian, Abbas Khosravi, Mamoun Alazab, Saeid Nahavandi:
An oppositional-Cauchy based GSK evolutionary algorithm with a novel deep ensemble reinforcement learning strategy for COVID-19 diagnosis. Appl. Soft Comput. 111: 107675 (2021) - [j78]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) - [j77]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:
Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991-2020. Comput. Biol. Medicine 128: 104095 (2021) - [j76]Moloud Abdar, Maryam Samami, Sajjad Dehghani Mahmoodabad, Thang Doan, Bogdan Mazoure, Reza Hashemifesharaki, Li Liu, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi:
Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning. Comput. Biol. Medicine 135: 104418 (2021) - [j75]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) - [j74]Sajad Ahmadian, Seyed Mohammad Jafar Jalali, Syed Mohammed Shamsul Islam, Abbas Khosravi, Ebrahim Fazli, Saeid Nahavandi:
A novel deep neuroevolution-based image classification method to diagnose coronavirus disease (COVID-19). Comput. Biol. Medicine 139: 104994 (2021) - [j73]Afshin Shoeibi, Navid Ghassemi, Roohallah Alizadehsani, Modjtaba Rouhani, Hossein Hosseini-Nejad, Abbas Khosravi, Maryam Panahiazar, Saeid Nahavandi:
A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals. Expert Syst. Appl. 163: 113788 (2021) - [j72]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) - [j71]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:
Automated detection of shockable ECG signals: A review. Inf. Sci. 571: 580-604 (2021) - [j70]Moloud Abdar, Mohammad Amin Fahami, Satarupa Chakrabarti, Abbas Khosravi, Pawel Plawiak, U. Rajendra Acharya, Ryszard Tadeusiewicz, Saeid Nahavandi:
BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification. Inf. Sci. 577: 353-378 (2021) - [j69]Mohamad Beheshti Roui, Mariam Zomorodi, Masoomeh Sarvelayati, Moloud Abdar, Hamid Noori, Pawel Plawiak, Ryszard Tadeusiewicz, Xujuan Zhou, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya:
A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs. Knowl. Based Syst. 231: 107419 (2021) - [j68]Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi:
Stable Neural Adaptive Filters for Teleoperations With Uncertain Delays. IEEE Robotics Autom. Lett. 6(4): 8663-8670 (2021) - [j67]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Saeid Nahavandi, Abdollah Kavousi-Fard:
Partial Adversarial Training for Neural Network-Based Uncertainty Quantification. IEEE Trans. Emerg. Top. Comput. Intell. 5(4): 595-606 (2021) - [j66]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Saeid Nahavandi, Dipti Srinivasan:
Neural Network Training for Uncertainty Quantification Over Time-Range. IEEE Trans. Emerg. Top. Comput. Intell. 5(5): 768-779 (2021) - [j65]Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Abbas Khosravi, Miadreza Shafie-khah, Saeid Nahavandi, João P. S. Catalão:
A Novel Evolutionary-Based Deep Convolutional Neural Network Model for Intelligent Load Forecasting. IEEE Trans. Ind. Informatics 17(12): 8243-8253 (2021) - [j64]Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Shirin Shamsi Jokandan, Abbas Khosravi, Parham M. Kebria, Darius Nahavandi, Saeid Nahavandi, Dipti Srinivasan:
An Uncertainty-Aware Transfer Learning-Based Framework for COVID-19 Diagnosis. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1408-1417 (2021) - [j63]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) - [c136]Seyed Mohammad Jafar Jalali, Mahdi Khodayar, Sajad Ahmadian, Md Kislu Noman, Abbas Khosravi, Syed Mohammed Shamsul Islam, Fei Wang, João P. S. Catalão:
A New Uncertainty-aware Deep Neuroevolution Model for Quantifying Tidal Prediction. IAS 2021: 1-6 - [c135]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Md Shihanur Rahman, Mohammad Anwar Hosen, Saeid Nahavandi:
Uncertainty Quantification for the Required Fossil Fuel Generation in a Smart Grid. IJCNN 2021: 1-8 - [c134]Farhad Nazari, Darius Nahavandi, Navid Mohajer, Abbas Khosravi:
Human Activity Recognition from Knee Angle Using Machine Learning Techniques. SMC 2021: 295-300 - [c133]Mohammad Reza Chalak Qazani, Houshyar Asadi, Chee Peng Lim, Shady M. K. Mohamed, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi, Navneet Bhasin:
A Fast and Reliable Approach for Driving Style Customization in Autonomous Vehicles. SMC 2021: 1869-1875 - [c132]Amir Khani Yengikand, Majid Meghdadi, Sajad Ahmadian, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Saeid Nahavandi:
Deep Representation Learning using Multilayer Perceptron and Stacked Autoencoder for Recommendation Systems. SMC 2021: 2485-2491 - [c131]Milad Ahmadian, Mahmood Ahmadi, Sajad Ahmadian, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Saeid Nahavandi:
Integration of Deep Sparse Autoencoder and Particle Swarm Optimization to Develop a Recommender System. SMC 2021: 2524-2530 - [c130]Feras Albardi, Hussain Mohammed Dipu Kabir, Md Mahbub Islam Bhuiyan, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi:
A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification. SMC 2021: 2767-2774 - [c129]Anushri Rajendran, Parham M. Kebria, Navid Mohajer, Abbas Khosravi, Saeid Nahavandi:
Machine Learning based Prediction of Situational Awareness in Pilots using ECG Signals. SSCI 2021: 1-6 - [i27]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) - [i26]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) - [i25]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) - [i24]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:
Time Series Forecasting of New Cases and New Deaths Rate for COVID-19 using Deep Learning Methods. CoRR abs/2104.15007 (2021) - [i23]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) - [i22]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:
Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works. CoRR abs/2105.14278 (2021) - [i21]Donya Khaledyan, AmirReza Tajally, Ali Sarkhosh, Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Abbas Khosravi, Saeid Nahavandi:
Confidence Aware Neural Networks for Skin Cancer Detection. CoRR abs/2107.09118 (2021) - [i20]Maryam Habibpour, Hassan Gharoun, AmirReza Tajally, Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Abbas Khosravi, Saeid Nahavandi:
An Uncertainty-Aware Deep Learning Framework for Defect Detection in Casting Products. CoRR abs/2107.11643 (2021) - [i19]Maryam Habibpour, Hassan Gharoun, Mohammadreza Mehdipour, AmirReza Tajally, Hamzeh Asgharnezhad, Afshar Shamsi Jokandan, Abbas Khosravi, Miadreza Shafie-Khah, Saeid Nahavandi, João P. S. Catalão:
Uncertainty-Aware Credit Card Fraud Detection Using Deep Learning. CoRR abs/2107.13508 (2021) - [i18]Zakaria Senousy, Mohammed M. Abdelsamea, Mohamed Medhat Gaber, Moloud Abdar, U. Rajendra Acharya, Abbas Khosravi, Saeid Nahavandi:
MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification. CoRR abs/2108.10709 (2021) - [i17]Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Parisa Moridian, Roohallah Alizadehsani, Assef Zare, Abbas Khosravi, Abdulhamit Subasi, U. Rajendra Acharya, Juan Manuel Górriz:
Detection of Epileptic Seizures on EEG Signals Using ANFIS Classifier, Autoencoders and Fuzzy Entropies. CoRR abs/2109.04364 (2021) - [i16]Mohamad Roshanzamir, Roohallah Alizadehsani, Mahdi Roshanzamir, Afshin Shoeibi, Juan Manuel Górriz, Abbas Khosravi, Saeid Nahavandi:
What happens in Face during a facial expression? Using data mining techniques to analyze facial expression motion vectors. CoRR abs/2109.05457 (2021) - [i15]Assef Zare, Afshin Shoeibi, Narges Shafaei Bajestani, Parisa Moridian, Roohallah Alizadehsani, Majid Halaji, Abbas Khosravi:
Accurate Prediction Using Triangular Type-2 Fuzzy Linear Regression. CoRR abs/2109.05461 (2021) - [i14]Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Moloud Abdar, AmirReza Tajally, Abbas Khosravi, Saeid Nahavandi, Henry Leung:
Improving MC-Dropout Uncertainty Estimates with Calibration Error-based Optimization. CoRR abs/2110.03260 (2021) - [i13]Feras Albardi, Hussain Mohammed Dipu Kabir, Md Mahbub Islam Bhuiyan, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi:
A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification. CoRR abs/2110.07097 (2021) - [i12]Farhad Nazari, Navid Mohajer, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi:
Critical Review of Exoskeleton Technology: State of the art and development of physical and cognitive human-robot interface. CoRR abs/2111.12860 (2021) - 2020
- [j62]Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Abbas Khosravi, Seyedali Mirjalili, Mohammad Reza Mahmoudi, Saeid Nahavandi:
Neuroevolution-based autonomous robot navigation: A comparative study. Cogn. Syst. Res. 62: 35-43 (2020) - [j61]Amin Khatami, Asef Nazari, Abbas Khosravi, Chee Peng Lim, Saeid Nahavandi:
A weight perturbation-based regularisation technique for convolutional neural networks and the application in medical imaging. Expert Syst. Appl. 149: 113196 (2020) - [j60]Parham M. Kebria, Abbas Khosravi, Syed Moshfeq Salaken, Saeid Nahavandi:
Deep imitation learning for autonomous vehicles based on convolutional neural networks. IEEE CAA J. Autom. Sinica 7(1): 82-95 (2020) - [j59]Abel Hailemichael, Syed Moshfeq Salaken, Ali Karimoddini, Abdollah Homaifar, Abbas Khosravi, Saeid Nahavandi:
Developing a computationally effective Interval Type-2 TSK Fuzzy Logic Controller. J. Intell. Fuzzy Syst. 38(2): 1915-1928 (2020) - [j58]Catalin Stoean, Ruxandra Stoean, Miguel A. Atencia Ruiz, Moloud Abdar, Luís Velázquez Pérez, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Gonzalo Joya:
Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals. Sensors 20(11): 3032 (2020) - [j57]Roohallah Alizadehsani, Mohamad Roshanzamir, Moloud Abdar, Adham Beykikhoshk, Mohammad Hossein Zangooei, Abbas Khosravi, Saeid Nahavandi, Ru San Tan, U. Rajendra Acharya:
Model uncertainty quantification for diagnosis of each main coronary artery stenosis. Soft Comput. 24(13): 10149-10160 (2020) - [j56]Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi, Peng Shi, Roohallah Alizadehsani:
Robust Adaptive Control Scheme for Teleoperation Systems With Delay and Uncertainties. IEEE Trans. Cybern. 50(7): 3243-3253 (2020) - [j55]Parham Mohsenzadeh Kebria, Abbas Khosravi, Saeid Nahavandi, Dongrui Wu, Fernando Bello:
Adaptive Type-2 Fuzzy Neural-Network Control for Teleoperation Systems With Delay and Uncertainties. IEEE Trans. Fuzzy Syst. 28(10): 2543-2554 (2020) - [j54]Hao Quan, Abbas Khosravi, Dazhi Yang, Dipti Srinivasan:
A Survey of Computational Intelligence Techniques for Wind Power Uncertainty Quantification in Smart Grids. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4582-4599 (2020) - [c128]Parham M. Kebria, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi, Fernando Bello:
Adaptive Neural Network-based Perception and Awareness of Teleoperation Systems in Human-Machine Interactions. ICHMS 2020: 1-6 - [c127]Seyed Jalaleddin Mousavirad, Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Abbas Khosravi, Gerald Schaefer, Saeid Nahavandi:
Neural Network Training Using a Biogeography-Based Learning Strategy. ICONIP (5) 2020: 147-155 - [c126]Pegah Tabarisaadi, Abbas Khosravi, Saeid Nahavandi:
Bayesian Randomly Wired Neural Network with Variational Inference for Image Recognition. ICONIP (3) 2020: 197-207 - [c125]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Darius Nahavandi, Saeid Nahavandi:
Uncertainty Quantification Neural Network from Similarity and Sensitivity. IJCNN 2020: 1-8 - [c124]Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi:
Neural Network Control of Teleoperation Systems with Delay and Uncertainties based on Multilayer Perceptron Estimations. IJCNN 2020: 1-7 - [c123]Pegah Tabarisaadi, Abbas Khosravi, Saeid Nahavandi:
A Deep Bayesian Ensembling Framework for COVID-19 Detection using Chest CT Images. SMC 2020: 1584-1589 - [c122]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:
Autonomous Navigation via Deep Imitation and Transfer Learning: A Comparative Study. SMC 2020: 2907-2912 - [c121]Parham M. Kebria, Darius Nahavandi, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Saeid Nahavandi, Fernando Bello, Conor McGinn:
Robust Collaboration of a Haptically-Enabled Double-Slave Teleoperation System under Random Communication Delays. SMC 2020: 2919-2924 - [i11]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) - [i10]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) - [i9]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) - [i8]Hussain Mohammed Dipu Kabir, Moloud Abdar, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Amir F. Atiya, Saeid Nahavandi, Dipti Srinivasan:
SpinalNet: Deep Neural Network with Gradual Input. CoRR abs/2007.03347 (2020) - [i7]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) - [i6]Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Shirin Shamsi Jokandan, Abbas Khosravi, Parham M. Kebria, Darius Nahavandi, Saeid Nahavandi, Dipti Srinivasan:
An Uncertainty-aware Transfer Learning-based Framework for Covid-19 Diagnosis. CoRR abs/2007.14846 (2020) - [i5]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) - [i4]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) - [i3]Hamzeh Asgharnezhad, Afshar Shamsi Jokandan, Roohallah Alizadehsani, Abbas Khosravi, Saeid Nahavandi, Zahra Alizadeh Sani, Dipti Srinivasan:
Objective Evaluation of Deep Uncertainty Predictions for COVID-19 Detection. CoRR abs/2012.11840 (2020)
2010 – 2019
- 2019
- [j53]Afsaneh Koohestani, Darius Nahavandi, Houshyar Asadi, Parham M. Kebria, Abbas Khosravi, Roohallah Alizadehsani, Saeid Nahavandi:
A Knowledge Discovery in Motion Sickness: A Comprehensive Literature Review. IEEE Access 7: 85755-85770 (2019) - [j52]Afsaneh Koohestani, Moloud Abdar, Abbas Khosravi, Saeid Nahavandi, Mahereh Koohestani:
Integration of Ensemble and Evolutionary Machine Learning Algorithms for Monitoring Diver Behavior Using Physiological Signals. IEEE Access 7: 98971-98992 (2019) - [j51]Roohallah Alizadehsani, Moloud Abdar, Mohamad Roshanzamir, Abbas Khosravi, Parham M. Kebria, Fahime Khozeimeh, Saeid Nahavandi, Nizal Sarrafzadegan, U. Rajendra Acharya:
Machine learning-based coronary artery disease diagnosis: A comprehensive review. Comput. Biol. Medicine 111 (2019) - [j50]Syed Moshfeq Salaken, Abbas Khosravi, Thanh Nguyen, Saeid Nahavandi:
Seeded transfer learning for regression problems with deep learning. Expert Syst. Appl. 115: 565-577 (2019) - [j49]Sahar Araghi, Abbas Khosravi, Douglas C. Creighton:
Comparing the performance of different types of distributed fuzzy-based traffic signal controllers. J. Intell. Fuzzy Syst. 36(6): 6155-6166 (2019) - [j48]Parham M. Kebria, Hamid Abdi, Mohsen Moradi Dalvand, Abbas Khosravi, Saeid Nahavandi:
Control Methods for Internet-Based Teleoperation Systems: A Review. IEEE Trans. Hum. Mach. Syst. 49(1): 32-46 (2019) - [j47]Abdollah Kavousi-Fard, Wencong Su, Tao Jin, Ameena Saad Al-Sumaiti, Haidar Samet, Abbas Khosravi:
A Predictive KH-Based Model to Enhance the Performance of Industrial Electric Arc Furnaces. IEEE Trans. Ind. Electron. 66(10): 7976-7985 (2019) - [c120]Parham M. Kebria, Abbas Khosravi, Seyed Mohammad Jafar Jalali, Saeid Nahavandi:
Type-2 Fuzzy Neural Network Synchronization of Teleoperation Systems with Delay and Uncertainties. CASE 2019: 1625-1630 - [c119]Parham M. Kebria, Abbas Khosravi, Seyed Mohammad Jafar Jalali, Saeid Nahavandi:
Adaptive Type-2 Fuzzy Control Scheme for Robust Teleoperation under Time-Varying Delay and Uncertainties. CASE 2019: 1631-1636 - [c118]Pegah Tabarisaadi, Abbas Khosravi, Saeid Nahavandi:
Designing an H_infinity Fuzzy LMI-Based Consensus Protocol for Nonlinear Multi-agent Systems. CloudCom 2019: 320-325 - [c117]Hussain Mohammed Dipu Kabir, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi:
Probability Density Computation Neural Network for Time Series Data. CloudCom 2019: 341-346 - [c116]Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi, Abdollah Homaifar, Mehrdad Saif:
Experimental Comparison Study on Joint and Cartesian Space Control Schemes for a Teleoperation System Under Time-Varying Delay. ICIT 2019: 108-113 - [c115]Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi, David Watters, Glenn Guest, Peng Shi:
Robust Adaptive Control of Internet-based Bilateral Teleoperation Systems with Time-Varying Delay and Model Uncertainties. ICIT 2019: 187-192 - [c114]Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi, Fernando Bello, Suren Krishnan:
Robust Adaptive Synchronisation of a Single-Master Multi-Slave Teleoperation System over Delayed Communication. ICIT 2019: 193-198 - [c113]Hussain Mohammed Dipu Kabir, Abadhan Saumya Sabyasachi, Abbas Khosravi, Mohammad Anwar Hosen, Saeid Nahavandi, Rajkumar Buyya:
A Cloud Bidding Framework for Deadline Constrained Jobs. ICIT 2019: 765-772 - [c112]Seyed Mohammad Jafar Jalali, Abbas Khosravi, Roohallah Alizadehsani, Syed Moshfeq Salaken, Parham Mohsenzadeh Kebria, Rishi Puri, Saeid Nahavandi:
Parsimonious Evolutionary-based Model Development for Detecting Artery Disease. ICIT 2019: 800-805 - [c111]Afsaneh Koohestani, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi:
Drivers Awareness Evaluation using Physiological Measurement in a Driving Simulator. ICIT 2019: 859-864 - [c110]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:
Evaluating Architecture Impacts on Deep Imitation Learning Performance for Autonomous Driving. ICIT 2019: 865-870 - [c109]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Mohammad Anwar Hosen, Saeid Nahavandi, Rajkumar Buyya:
Probability Density for Amazon Spot Instance Price. ICIT 2019: 887-892 - [c108]Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Parham M. Kebria, Abbas Khosravi, Chee Peng Lim, Saeid Nahavandi:
Evolving Artificial Neural Networks Using Butterfly Optimization Algorithm for Data Classification. ICONIP (1) 2019: 596-607 - [c107]Afshar Shamsi Jokandan, Abbas Khosravi, Saeid Nahavandi:
Performance Comparison of Type-1 and Type-2 Neuro-Fuzzy Controllers for a Flexible Joint Manipulator. ICONIP (1) 2019: 621-632 - [c106]Seyed Mohammad Jafar Jalali, Parham M. Kebria, Abbas Khosravi, Khaled Saleh, Darius Nahavandi, Saeid Nahavandi:
Optimal Autonomous Driving Through Deep Imitation Learning and Neuroevolution. SMC 2019: 1215-1220 - [c105]Seyed Mohammad Jafar Jalali, Abbas Khosravi, Parham M. Kebria, Rachid Hedjam, Saeid Nahavandi:
Autonomous Robot Navigation System Using the Evolutionary Multi-Verse optimizer Algorithm. SMC 2019: 1221-1226 - [c104]Houshyar Asadi, Arash Mohammadi, Shady M. K. Mohamed, Mohammad Reza Chalak Qazani, Chee Peng Lim, Abbas Khosravi, Saeid Nahavandi:
A Model Predictive Control-based Motion Cueing Algorithm using an optimized Nonlinear Scaling for Driving Simulators. SMC 2019: 1245-1250 - [c103]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Saeid Nahavandi:
Generalized Noise Patterns for (N+1)/N-factor Non-linear Down-sampling. SMC 2019: 2089-2096 - [c102]Amin Khatami, Parham M. Kebria, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Asef Nazari, Marjan Shamszadeh, Thanh Nguyen, Saeid Nahavandi:
A GA-Based Pruning Fully Connected Network for Tuned Connections in Deep Networks. SMC 2019: 3492-3497 - [c101]Seyed Mohammad Jafar Jalali, Mina Karimi, Abbas Khosravi, Saeid Nahavandi:
An efficient Neuroevolution Approach for Heart Disease Detection. SMC 2019: 3771-3776 - [i2]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Abdollah Kavousi-Fard, Saeid Nahavandi, Dipti Srinivasan:
Optimal Uncertainty-guided Neural Network Training. CoRR abs/1912.12761 (2019) - 2018
- [j46]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Mohammad Anwar Hosen, Saeid Nahavandi:
Neural Network-Based Uncertainty Quantification: A Survey of Methodologies and Applications. IEEE Access 6: 36218-36234 (2018) - [j45]Amin Khatami, Morteza Babaie, Abbas Khosravi, Hamid R. Tizhoosh, Saeid Nahavandi:
Parallel deep solutions for image retrieval from imbalanced medical imaging archives. Appl. Soft Comput. 63: 197-205 (2018) - [j44]Ibrahim Hossain, Abbas Khosravi, Imali Hettiarachchi, Saeid Nahavandi:
Multiclass Informative Instance Transfer Learning Framework for Motor Imagery-Based Brain-Computer Interface. Comput. Intell. Neurosci. 2018: 6323414:1-6323414:12 (2018) - [j43]Roohallah Alizadehsani, Mohammad Javad Hosseini, Abbas Khosravi, Fahime Khozeimeh, Mohamad Roshanzamir, Nizal Sarrafzadegan, Saeid Nahavandi:
Non-invasive detection of coronary artery disease in high-risk patients based on the stenosis prediction of separate coronary arteries. Comput. Methods Programs Biomed. 162: 119-127 (2018) - [j42]Amin Khatami, Morteza Babaie, Hamid R. Tizhoosh, Abbas Khosravi, Thanh Nguyen, Saeid Nahavandi:
A sequential search-space shrinking using CNN transfer learning and a Radon projection pool for medical image retrieval. Expert Syst. Appl. 100: 224-233 (2018) - [j41]Saima Hassan, Mojtaba Ahmadieh Khanesar, Jafreezal Jaafar, Abbas Khosravi:
Optimal parameters of an ELM-based interval type 2 fuzzy logic system: a hybrid learning algorithm. Neural Comput. Appl. 29(4): 1001-1014 (2018) - [c100]Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi, Zoran Najdovski, Stephen John Hilton:
Neural Network Adaptive Control of Teleoperation Systems with Uncertainties and Time-Varying Delay. CASE 2018: 252-257 - [c99]Afsaneh Koohestani, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi:
Drivers Performance Evaluation using Physiological Measurement in a Driving Simulator. DICTA 2018: 1-6 - [c98]Parham M. Kebria, Abbas Khosravi, Syed Moshfeq Salaken, Ibrahim Hossain, Hussain Mohammed Dipu Kabir, Afsaneh Koohestani, Roohallah Alizadehsani, Saeid Nahavandi:
Deep Imitation Learning: The Impact of Depth on Policy Performance. ICONIP (1) 2018: 172-181 - [c97]Ibrahim Hossain, Abbas Khosravi, Imali Hettiarachchi, Saeid Nahavandi:
Percentile range around the mean of center distance based informative transfer for motor imagery Brain-Computer Interface. IJCNN 2018: 1-6 - [c96]Hussain Mohammed Dipu Kabir, Mohammad Anwar Hosen, Abbas Khosravi, Saeid Nahavandi:
Weighted Autocorrelation based Prediction Interval Optimization for Wind Power Generation. IJCNN 2018: 1-6 - [c95]Hussain Mohammed Dipu Kabir, Abbas Khosravi, Mohammad Anwar Hosen, Saeid Nahavandi:
Partial Adversarial Training for Prediction Interval. IJCNN 2018: 1-6 - [c94]Ibrahim Hossain, Abbas Khosravi, Imali Hettiarachchi, Saeid Nahavandi:
Calibration Time Reduction Using Subjective Features Selection Based Transfer Learning For Multiclass BCI. SMC 2018: 491-498 - [c93]Syed Moshfeq Salaken, Abbas Khosravi, Thanh Nguyen, Saeid Nahavandi:
Semi-Supervised Transfer Learning with Genetic Algorithm Tuned Transformation and Novel Label Transfer Mechanism. SMC 2018: 906-911 - 2017
- [j40]Saima Hassan, Mojtaba Ahmadieh Khanesar, Jafreezal Jaafar, Abbas Khosravi:
Comparative analysis of three approaches of antecedent part generation for an IT2 TSK FLS. Appl. Soft Comput. 51: 130-144 (2017) - [j39]Fahime Khozeimeh, Roohallah Alizadehsani, Mohamad Roshanzamir, Abbas Khosravi, Pouran Layegh, Saeid Nahavandi:
An expert system for selecting wart treatment method. Comput. Biol. Medicine 81: 167-175 (2017) - [j38]Syed Moshfeq Salaken, Abbas Khosravi, Thanh Nguyen, Saeid Nahavandi:
Output uncertainty score for decision making processes using interval type-2 fuzzy systems. Eng. Appl. Artif. Intell. 65: 159-167 (2017) - [j37]Amin Khatami, Saeed Mirghasemi, Abbas Khosravi, Chee Peng Lim, Saeid Nahavandi:
A new PSO-based approach to fire flame detection using K-Medoids clustering. Expert Syst. Appl. 68: 69-80 (2017) - [j36]Sahar Araghi, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi:
Influence of meta-heuristic optimization on the performance of adaptive interval type2-fuzzy traffic signal controllers. Expert Syst. Appl. 71: 493-503 (2017) - [j35]Amin Khatami, Abbas Khosravi, Thanh Nguyen, Chee Peng Lim, Saeid Nahavandi:
Medical image analysis using wavelet transform and deep belief networks. Expert Syst. Appl. 86: 190-198 (2017) - [j34]Syed Moshfeq Salaken, Abbas Khosravi, Thanh Nguyen, Saeid Nahavandi:
Extreme learning machine based transfer learning algorithms: A survey. Neurocomputing 267: 516-524 (2017) - [j33]Abdollah Kavousi-Fard, Abbas Khosravi, Saeid Nahavandi:
Reactive Power Compensation in Electric Arc Furnaces Using Prediction Intervals. IEEE Trans. Ind. Electron. 64(7): 5295-5304 (2017) - [c92]Mohammad Anwar Hosen, Saeid Nahavandi, Abbas Khosravi, Peng Shi, Lachlan Sinnott:
Prediction interval-based controller for Chemical Reactor. CCECE 2017: 1-4 - [c91]Ibrahim Hossain, Abbas Khosravi, Saeid Nahavandi:
Weighted informative inverse active class selection for motor imagery brain computer interface. CCECE 2017: 1-5 - [c90]Hussain Mohammed Dipu Kabir, Mohammad Anwar Hosen, Saeid Nahavandi, Abbas Khosravi:
Prediction interval with examples of similar pattern and prediction strength. CCECE 2017: 1-4 - [c89]Amin Khatami, Morteza Babaie, Abbas Khosravi, Hamid R. Tizhoosh, Syed Moshfeq Salaken, Saeid Nahavandi:
A deep-structural medical image classification for a Radon-based image retrieval. CCECE 2017: 1-4 - [c88]Syed Moshfeq Salaken, Abbas Khosravi, Amin Khatami, Saeid Nahavandi, Mohammad Anwar Hosen:
Lung cancer classification using deep learned features on low population dataset. CCECE 2017: 1-5 - [c87]Saima Hassan, Mojtaba Ahmadieh Khanesar, Amin Hajizadeh, Abbas Khosravi:
Hybrid multi-objective forecasting of solar photovoltaic output using Kalman filter based interval type-2 fuzzy logic system. FUZZ-IEEE 2017: 1-6 - [c86]Ehsan Lotfi, Abbas Khosravi, Saeid Nahavandi:
Facial emotion recognition using emotional neural network and hybrid of fuzzy c-means and genetic algorithm. FUZZ-IEEE 2017: 1-6 - [c85]Thanh Nguyen, Imali Hettiarachchi, Abbas Khosravi, Syed Moshfeq Salaken, Asim Bhatti, Saeid Nahavandi:
Multiclass EEG data classification using fuzzy systems. FUZZ-IEEE 2017: 1-6 - [c84]A. A. Rezaei, R. Mohammadifar, Ehsan Lotfi, Abbas Khosravi, Saeid Nahavandi:
A heterogeneous defense method using fuzzy decision making. FUZZ-IEEE 2017: 1-8 - [c83]Amin Khatami, Saeed Mirghasemi, Abbas Khosravi, Chee Peng Lim, Houshyar Asadi, Saeid Nahavandi:
A Swarm Optimization-Based Kmedoids Clustering Technique for Extracting Melanoma Cancer Features. ICONIP (4) 2017: 307-316 - [c82]Amin Khatami, Yonghang Tai, Abbas Khosravi, Lei Wei, Mohsen Moradi Dalvand, Min Zou, Saeid Nahavandi:
A Deep Learning-Based Model for Tactile Understanding on Haptic Data Percutaneous Needle Treatment. ICONIP (4) 2017: 317-325 - [c81]Amin Khatami, Yonghang Tai, Abbas Khosravi, Lei Wei, Mohsen Moradi Dalvand, Jun Peng, Saeid Nahavandi:
A Haptics Feedback Based-LSTM Predictive Model for Pericardiocentesis Therapy Using Public Introperative Data. ICONIP (5) 2017: 810-818 - [c80]Ibrahim Hossain, Abbas Khosravi, Imali Thanuja Hettiarachchi, Saeid Nahavandi:
Informative instance transfer learning with subject specific frequency responses for motor imagery brain computer interface. SMC 2017: 252-257 - 2016
- [j32]Saima Hassan, Mojtaba Ahmadieh Khanesar, Erdal Kayacan, Jafreezal Jaafar, Abbas Khosravi:
Optimal design of adaptive type-2 neuro-fuzzy systems: A review. Appl. Soft Comput. 44: 134-143 (2016) - [j31]Syed Moshfeq Salaken, Abbas Khosravi, Saeid Nahavandi:
Modification on enhanced Karnik-Mendel algorithm. Expert Syst. Appl. 65: 283-291 (2016) - [j30]Roohallah Alizadehsani, Mohammad Hossein Zangooei, Mohammad Javad Hosseini, Jafar Habibi, Abbas Khosravi, Mohamad Roshanzamir, Fahime Khozeimeh, Nizal Sarrafzadegan, Saeid Nahavandi:
Coronary artery disease detection using computational intelligence methods. Knowl. Based Syst. 109: 187-197 (2016) - [c79]Ehsan Lotfi, Abbas Khosravi, Saeid Nahavandi:
Prediction granules for uncertainty modelling. FUZZ-IEEE 2016: 961-968 - [c78]Amin Khatami, Abbas Khosravi, Chee Peng Lim, Saeid Nahavandi:
A Wavelet Deep Belief Network-Based Classifier for Medical Images. ICONIP (3) 2016: 467-474 - [c77]N. Lotfi, Ehsan Lotfi, R. Mirzaei, Abbas Khosravi, Saeid Nahavandi:
Nonlinear programming problem solving based on winner take all emotional neural network for tensegrity structure design. IJCNN 2016: 826-831 - [c76]Ibrahim Hossain, Abbas Khosravi, Saeid Nahavandi:
Active transfer learning and selective instance transfer with active learning for motor imagery based BCI. IJCNN 2016: 4048-4055 - [c75]Mohammad Anwar Hosen, Abbas Khosravi, Saeid Nahavandi, Lachlan Sinnott:
Prediction interval-based ANFIS controller for nonlinear processes. IJCNN 2016: 4901-4907 - [c74]Thanh Nguyen, Saeid Nahavandi, Douglas C. Creighton, Abbas Khosravi:
RNA-seq data analysis using nonparametric Gaussian process models. IJCNN 2016: 5087-5093 - [c73]Saurav Gupta, Nitin Anand Shrivastava, Abbas Khosravi, Bijaya Ketan Panigrahi:
Wind ramp event prediction with parallelized gradient boosted regression trees. IJCNN 2016: 5296-5301 - [c72]Saima Hassan, Mojtaba Ahmadieh Khanesar, Jafreezal Jaafar, Abbas Khosravi:
A multi-objective genetic type-2 fuzzy extreme learning system for the identification of nonlinear dynamic systems. SMC 2016: 155-160 - [c71]Houshyar Asadi, Arash Mohammadi, Shady M. K. Mohamed, Chee Peng Lim, Amin Khatami, Abbas Khosravi, Saeid Nahavandi:
A Particle Swarm Optimization-based washout filter for improving simulator motion fidelity. SMC 2016: 1963-1968 - [i1]Saurav Gupta, Nitin Anand Shrivastava, Abbas Khosravi, Bijaya Ketan Panigrahi:
Wind ramp event prediction with parallelized Gradient Boosted Regression Trees. CoRR abs/1610.05009 (2016) - 2015
- [j29]Thanh Nguyen, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi:
Medical data classification using interval type-2 fuzzy logic system and wavelets. Appl. Soft Comput. 30: 812-822 (2015) - [j28]Thanh Nguyen, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi:
Fuzzy system with tabu search learning for classification of motor imagery data. Biomed. Signal Process. Control. 20: 61-70 (2015) - [j27]Sahar Araghi, Abbas Khosravi, Douglas C. Creighton:
A review on computational intelligence methods for controlling traffic signal timing. Expert Syst. Appl. 42(3): 1538-1550 (2015) - [j26]Thanh Nguyen, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi:
Classification of healthcare data using genetic fuzzy logic system and wavelets. Expert Syst. Appl. 42(4): 2184-2197 (2015) - [j25]Thanh Nguyen, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi:
EEG signal classification for BCI applications by wavelets and interval type-2 fuzzy logic systems. Expert Syst. Appl. 42(9): 4370-4380 (2015) - [j24]Sahar Araghi, Abbas Khosravi, Douglas C. Creighton:
Intelligent cuckoo search optimized traffic signal controllers for multi-intersection network. Expert Syst. Appl. 42(9): 4422-4431 (2015) - [j23]Syed Moshfeq Salaken, Abbas Khosravi, Saeid Nahavandi, Dongrui Wu:
Approximation of centroid end-points and switch points for replacing type reduction algorithms. Int. J. Approx. Reason. 66: 39-52 (2015) - [j22]Thanh Nguyen, Asim Bhatti, Abbas Khosravi, Sherif Haggag, Douglas C. Creighton, Saeid Nahavandi:
Automatic spike sorting by unsupervised clustering with diffusion maps and silhouettes. Neurocomputing 153: 199-210 (2015) - [j21]Thanh Thi Nguyen, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi:
Multi-Output Interval Type-2 Fuzzy Logic System for Protein Secondary Structure Prediction. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 23(5): 735-760 (2015) - [j20]Thanh Nguyen, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi:
Hidden Markov models for cancer classification using gene expression profiles. Inf. Sci. 316: 293-307 (2015) - [j19]Jin Wang, Chee Peng Lim, Douglas C. Creighton, Abbas Khosravi, Saeid Nahavandi, Julien Ugon, Peter Vamplew, Andrew Stranieri, Laura Martin, Anton Freischmidt:
Patient admission prediction using a pruned fuzzy min-max neural network with rule extraction. Neural Comput. Appl. 26(2): 277-289 (2015) - [j18]Thanh Nguyen, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi:
EEG data classification using wavelet features selected by Wilcoxon statistics. Neural Comput. Appl. 26(5): 1193-1202 (2015) - [j17]Thanh Nguyen, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi:
A novel aggregate gene selection method for microarray data classification. Pattern Recognit. Lett. 60-61: 16-23 (2015) - [j16]Thanh Nguyen, Lee Gordon-Brown, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi:
Fuzzy Portfolio Allocation Models Through a New Risk Measure and Fuzzy Sharpe Ratio. IEEE Trans. Fuzzy Syst. 23(3): 656-676 (2015) - [j15]Mohammad Anwar Hosen, Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
Improving the Quality of Prediction Intervals Through Optimal Aggregation. IEEE Trans. Ind. Electron. 62(7): 4420-4429 (2015) - [j14]Nitin Anand Shrivastava, Abbas Khosravi, Bijaya Ketan Panigrahi:
Prediction Interval Estimation of Electricity Prices Using PSO-Tuned Support Vector Machines. IEEE Trans. Ind. Informatics 11(2): 322-331 (2015) - [j13]Abbas Khosravi, Saeid Nahavandi, Dipti Srinivasan, Rihanna Khosravi:
Constructing Optimal Prediction Intervals by Using Neural Networks and Bootstrap Method. IEEE Trans. Neural Networks Learn. Syst. 26(8): 1810-1815 (2015) - [j12]Hao Quan, Dipti Srinivasan, Abbas Khosravi:
Incorporating Wind Power Forecast Uncertainties Into Stochastic Unit Commitment Using Neural Network-Based Prediction Intervals. IEEE Trans. Neural Networks Learn. Syst. 26(9): 2123-2135 (2015) - [c70]Thanh Nguyen, Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton:
Mass spectrometry-based proteomic data for cancer diagnosis using interval type-2 fuzzy system. FUZZ-IEEE 2015: 1-8 - [c69]Syed Moshfeq Salaken, Abbas Khosravi, Saeid Nahavandi, Dongrui Wu:
Effect of different initializations on EKM algorithm. FUZZ-IEEE 2015: 1-6 - [c68]Syed Moshfeq Salaken, Abbas Khosravi, Saeid Nahavandi, Dongrui Wu:
Linear approximation of Karnik-Mendel type reduction algorithm. FUZZ-IEEE 2015: 1-6 - [c67]Syed Moshfeq Salaken, Abbas Khosravi, Saeid Nahavandi, Dongrui Wu:
Switch point finding using polynomial regression for fuzzy type reduction algorithms. FUZZ-IEEE 2015: 1-6 - [c66]Mohammad Anwar Hosen, Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
Prediction Interval-Based Control of Nonlinear Systems Using Neural Networks. ICONIP (3) 2015: 101-110 - [c65]Esmaeel Eftekharian, Seyed Amin Khatami, Abbas Khosravi, Saeid Nahavandi:
Data Mining Analysis of an Urban Tunnel Pressure Drop Based on CFD Data. ICONIP (4) 2015: 128-135 - [c64]Mohammad Anwar Hosen, Syed Moshfeq Salaken, Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
Hybrid Controller with the Combination of FLC and Neural Network-Based IMC for Nonlinear Processes. ICONIP (3) 2015: 206-213 - [c63]Sahar Araghi, Abbas Khosravi, Douglas C. Creighton:
Distributed Q-learning Controller for a Multi-Intersection Traffic Network. ICONIP (1) 2015: 337-344 - [c62]Syed Moshfeq Salaken, Mohammad Anwar Hosen, Abbas Khosravi, Saeid Nahavandi:
Forecasting Bike Sharing Demand Using Fuzzy Inference Mechanism. ICONIP (3) 2015: 567-574 - [c61]Sahar Araghi, Abbas Khosravi, Douglas C. Creighton:
Design of Distributed Adaptive Neural Traffic Signal Timing Controller by Cuckoo Search Optimization. ICONIP (2) 2015: 583-590 - [c60]Saima Hassan, Abbas Khosravi, Jafreezal Jaafar, Mojtaba Ahmadieh Khanesar:
Hybrid Model for the Training of Interval Type-2 Fuzzy Logic System. ICONIP (1) 2015: 644-653 - [c59]Abbas Shahzadeh, Abbas Khosravi, Saeid Nahavandi:
Improving the Quality of Load Forecasts Using Smart Meter Data. ICONIP (4) 2015: 667-674 - [c58]Saima Hassan, Abbas Khosravi, Jafreezal Jaafar:
Training of interval type-2 fuzzy logic system using extreme learning machine for load forecasting. IMCOM 2015: 87:1-87:5 - [c57]Mohammad Anwar Hosen, Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Syed Moshfeq Salaken:
Prediction interval-based neural network controller for nonlinear processes. IJCNN 2015: 1-6 - [c56]Seyed Amin Khatami, Saeed Mirghasemi, Abbas Khosravi, Saeid Nahavandi:
An efficient hybrid algorithm for fire flame detection. IJCNN 2015: 1-6 - [c55]Thanh Thi Nguyen, Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, Imali Hettiarachchi:
EEG signal analysis for BCI application using fuzzy system. IJCNN 2015: 1-8 - [c54]Abbas Shahzadeh, Abbas Khosravi, Saeid Nahavandi:
Improving load forecast accuracy by clustering consumers using smart meter data. IJCNN 2015: 1-7 - [c53]Nitin Anand Shrivastava, Abbas Khosravi, Bijaya K. Panigrahi:
Prediction interval estimation for wind farm power generation forecasts using support vector machines. IJCNN 2015: 1-7 - [c52]Sahar Araghi, Abbas Khosravi, Douglas C. Creighton:
Design of an Optimal ANFIS Traffic Signal Controller by Using Cuckoo Search for an Isolated Intersection. SMC 2015: 2078-2083 - [c51]Amin Khatami, Saeed Mirghasemi, Abbas Khosravi, Saeid Nahavandi:
A New Color Space Based on K-Medoids Clustering for Fire Detection. SMC 2015: 2755-2760 - 2014
- [j11]Abbas Khosravi, Saeid Nahavandi:
Effects of type reduction algorithms on forecasting accuracy of IT2FLS models. Appl. Soft Comput. 17: 32-38 (2014) - [j10]Abbas Khosravi, Saeid Nahavandi:
An interval type-2 fuzzy logic system-based method for prediction interval construction. Appl. Soft Comput. 24: 222-231 (2014) - [j9]Hao Quan, Dipti Srinivasan, Abbas Khosravi:
Particle swarm optimization for construction of neural network-based prediction intervals. Neurocomputing 127: 172-180 (2014) - [j8]Abbas Khosravi, Saeid Nahavandi:
Load Forecasting Using Interval Type-2 Fuzzy Logic Systems: Optimal Type Reduction. IEEE Trans. Ind. Informatics 10(2): 1055-1063 (2014) - [j7]Hao Quan, Dipti Srinivasan, Abbas Khosravi:
Short-Term Load and Wind Power Forecasting Using Neural Network-Based Prediction Intervals. IEEE Trans. Neural Networks Learn. Syst. 25(2): 303-315 (2014) - [c50]Thanh Nguyen, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi:
Structural classification of proteins through amino acid sequence using interval type-2 fuzzy logic system. FUZZ-IEEE 2014: 1123-1130 - [c49]Thanh Nguyen, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi:
Medical diagnosis by fuzzy standard additive model with wavelets. FUZZ-IEEE 2014: 1937-1944 - [c48]Rihanna Khosravi, Abbas Khosravi, Saeid Nahavandi:
Application of Cuckoo Search for Design Optimization of Heat Exchangers. ICONIP (2) 2014: 178-185 - [c47]Sahar Araghi, Abbas Khosravi, Douglas C. Creighton:
ANFIS Traffic Signal Controller for an Isolated Intersection. IJCCI (FCTA) 2014: 175-180 - [c46]Sahar Araghi, Abbas Khosravi, Douglas C. Creighton:
Optimal design of traffic signal controller using neural networks and fuzzy logic systems. IJCNN 2014: 42-47 - [c45]Mohammad Anwar Hosen, Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
Aggregation of Pi-based forecast to enhance prediction accuracy. IJCNN 2014: 778-784 - [c44]Abdollah Kavousi-Fard, Abbas Khosravi, Saeid Nahavandi:
A novel fuzzy multi-objective framework to construct optimal prediction intervals for wind power forecast. IJCNN 2014: 1015-1019 - [c43]Nitin Anand Shrivastava, Abbas Khosravi, Bijaya Ketan Panigrahi:
Prediction interval estimation for electricity price and demand using support vector machines. IJCNN 2014: 3995-4002 - [c42]Thanh Nguyen, Abbas Khosravi, Asim Bhatti, Douglas C. Creighton, Saeid Nahavandi:
Neural signal analysis by landmark-based spectral clustering with estimated number of clusters. IJCNN 2014: 4042-4049 - [c41]Ehsan Lotfi, Abbas Khosravi, M.-R. Akbarzadeh-T., Saeid Nahavandi:
Wind power forecasting using emotional neural networks. SMC 2014: 311-316 - [c40]Sahar Araghi, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi:
Optimal fuzzy traffic signal controller for an isolated intersection. SMC 2014: 435-440 - [c39]Thanh Nguyen, Vincent Lee, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi:
Solving fuzzy programming with a consistent fuzzy number ranking. SMC 2014: 551-556 - [c38]Thanh Nguyen, Abbas Khosravi, Imali Hettiarachchi, Douglas C. Creighton, Saeid Nahavandi:
Classification of neural action potentials using mean shift clustering. SMC 2014: 1247-1252 - [c37]Rihanna Khosravi, Abbas Khosravi, Saeid Nahavandi:
Assessing performance of genetic and firefly algorithms for optimal design of heat exchangers. SMC 2014: 3296-3301 - [c36]Saima Hassan, Abbas Khosravi, Jafreezal Jaafar, Muhammad Qamar Raza:
Electricity load and price forecasting with influential factors in a deregulated power industry. SoSE 2014: 79-84 - 2013
- [j6]Sahar Araghi, Abbas Khosravi, Michael Johnstone, Douglas C. Creighton:
A novel modular Q-learning architecture to improve performance under incomplete learning in a grid soccer game. Eng. Appl. Artif. Intell. 26(9): 2164-2171 (2013) - [c35]Hao Quan, Dipti Srinivasan, Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
Construction of neural network-based prediction intervals for short-term electrical load forecasting. CIASG 2013: 66-72 - [c34]Abbas Khosravi, Saeid Nahavandi, Rihanna Khosravi:
Evaluation and comparison of type reduction algorithms from a forecast accuracy perspective. FUZZ-IEEE 2013 - [c33]Abbas Khosravi, Saeid Nahavandi, Rihanna Khosravi:
A new neural network-based type reduction algorithm for interval type-2 fuzzy logic systems. FUZZ-IEEE 2013: 1-6 - [c32]Thanh Nguyen, Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
Neural network and interval type-2 fuzzy system for stock price forecasting. FUZZ-IEEE 2013 - [c31]Mashud Rana, Irena Koprinska, Abbas Khosravi:
Feature Selection for Neural Network-Based Interval Forecasting of Electricity Demand Data. ICANN 2013: 389-396 - [c30]Saima Hassan, Abbas Khosravi, Jafreezal Jaafar:
Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting. IJCNN 2013: 1-6 - [c29]Thanh Nguyen, Abbas Khosravi, Douglas C. Creighton, Saeid Nahavandi:
Epidemiological dynamics modeling by fusion of soft computing techniques. IJCNN 2013: 1-8 - [c28]Mashud Rana, Irena Koprinska, Abbas Khosravi, Vassilios G. Agelidis:
Prediction intervals for electricity load forecasting using neural networks. IJCNN 2013: 1-8 - [c27]Sahar Araghi, Abbas Khosravi, Michael Johnstone, Douglas C. Creighton:
Q-learning method for controlling traffic signal phase time in a single intersection. ITSC 2013: 1261-1265 - [c26]Abbas Shahzadeh, Abbas Khosravi, Saeid Nahavandi:
Path Planning for CNC Machines Considering Centripetal Acceleration and Jerk. SMC 2013: 1759-1764 - [c25]Seyed Amin Khatami, Alireza Mirhabibi, Abbas Khosravi, Saeid Nahavandi:
Artificial Neural Network Analysis of Twin Tunnelling-Induced Ground Settlements. SMC 2013: 2492-2497 - [c24]Seyed Amin Khatami, Abbas Khosravi, Saeid Nahavandi:
A New Approach Based on Support Vector Machine for Solving Stochastic Optimization. SMC 2013: 2498-2503 - [c23]Saima Hassan, Abbas Khosravi, Jafreezal Jaafar:
Bayesian Model Averaging of Load Demand Forecasts from Neural Network Models. SMC 2013: 3192-3197 - [c22]Saima Hassan, Abbas Khosravi, Jafreezal Jaafar:
Variance-Covariance Based Weighing for Neural Network Ensembles. SMC 2013: 3214-3219 - [c21]Sahar Araghi, Abbas Khosravi, Michael Johnstone, Douglas C. Creighton:
Intelligent Traffic Light Control of Isolated Intersections Using Machine Learning Methods. SMC 2013: 3621-3626 - [c20]Mohammad Anwar Hosen, Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
Control of Polystyrene Batch Reactor Using Fuzzy Logic Controller. SMC 2013: 4516-4521 - 2012
- [c19]Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Reihaneh Naghavizadeh:
Prediction interval construction using interval type-2 Fuzzy Logic systems. FUZZ-IEEE 2012: 1-7 - [c18]Saima Hassan, Abbas Khosravi, Jafreezal Jaafar, Samir B. Belhaouari:
Load Forecasting Accuracy through Combination of Trimmed Forecasts. ICONIP (1) 2012: 152-159 - [c17]Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Reihaneh Naghavizadeh:
Uncertainty quantification for wind farm power generation. IJCNN 2012: 1-6 - [c16]Hao Quan, Dipti Srinivasan, Abbas Khosravi:
Construction of neural network-based prediction intervals using particle swarm optimization. IJCNN 2012: 1-7 - 2011
- [j5]Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
Prediction Interval Construction and Optimization for Adaptive Neurofuzzy Inference Systems. IEEE Trans. Fuzzy Syst. 19(5): 983-988 (2011) - [j4]Abbas Khosravi, Ehsan Mazloumi, Saeid Nahavandi, Douglas C. Creighton, J. W. C. van Lint:
Prediction Intervals to Account for Uncertainties in Travel Time Prediction. IEEE Trans. Intell. Transp. Syst. 12(2): 537-547 (2011) - [j3]Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Amir F. Atiya:
Lower Upper Bound Estimation Method for Construction of Neural Network-Based Prediction Intervals. IEEE Trans. Neural Networks 22(3): 337-346 (2011) - [j2]Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Amir F. Atiya:
Comprehensive Review of Neural Network-Based Prediction Intervals and New Advances. IEEE Trans. Neural Networks 22(9): 1341-1356 (2011) - [c15]Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
Short term load forecasting using Interval Type-2 Fuzzy Logic Systems. FUZZ-IEEE 2011: 502-508 - [c14]Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Dipti Srinivasan:
Optimizing the quality of bootstrap-based prediction intervals. IJCNN 2011: 3072-3078 - [c13]Dipti Srinivasan, Zhang Guofan, Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
Hybrid neural-evolutionary model for electricity price forecasting. IJCNN 2011: 3164-3169 - 2010
- [j1]Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
A prediction interval-based approach to determine optimal structures of neural network metamodels. Expert Syst. Appl. 37(3): 2377-2387 (2010) - [c12]Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton, Bruce Gunn:
Predicting amount of saleable products using neural network metamodels of casthouses. ICARCV 2010: 2018-2023 - [c11]Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
Developing a Robust Prediction Interval Based Criterion for Neural Network Model Selection. ICONIP (2) 2010: 727-734
2000 – 2009
- 2009
- [c10]Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
Improving Prediction Interval Quality: A Genetic Algorithm-Based Method Applied to Neural Networks. ICONIP (2) 2009: 141-149 - [c9]Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
Integrating Simulated Annealing and Delta Technique for Constructing Optimal Prediction Intervals. ICONIP (1) 2009: 285-292 - [c8]Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
Constructing prediction intervals for neural network metamodels of complex systems. IJCNN 2009: 1576-1582 - [c7]Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
Developing optimal neural network metamodels based on prediction intervals. IJCNN 2009: 1583-1589 - 2008
- [p1]Abbas Khosravi, Joaquím Meléndez, Joan Colomer, Jorge Sánchez:
Multiway Principal Component Analysis (MPCA) for Upstream/Downstream Classification of Voltage Sags Gathered in Distribution Substations. Advances of Computational Intelligence in Industrial Systems 2008: 297-312 - 2007
- [c6]Abbas Khosravi, Joaquim Armengol Llobet:
A Hybrid Method for Fault Detection and Modelling using Modal Intervals and ANFIS. ACC 2007: 3003-3008 - [c5]Abbas Khosravi, Toni Martinez, Joaquím Meléndez, Joan Colomer, Jorge Sánchez:
Integrating a Feature Selection Algorithm for Classification of Voltage Sags Originated in Transmission and Distribution Networks. CCIA 2007: 376-383 - [c4]Abbas Khosravi, Jie Lu, Xianyi Zeng, Roohollah Barzamini:
Skew-Tree Based Multistage Fuzzy Controller for Nonlinear Systems. EUSFLAT Conf. (2) 2007: 137-142 - [c3]M. Chitsaz, N. Sadati, Roohollah Barzamini, Javid Jouzdani, Abbas Khosravi:
A New Preprocessing Approach to Preparation of Binary Patterns for FAM Neural Networks. EUSFLAT Conf. (2) 2007: 237-241 - [c2]Abbas Khosravi, Joaquim Armengol Llobet, Esteban R. Gelso:
An Interval Intelligent-based Approach for Fault Detection and Modelling. FUZZ-IEEE 2007: 1-6 - [c1]Abbas Khosravi, Joaquím Meléndez, Joan Colomer:
Classification of Voltage Sags Based on MPCA Models. IbPRIA (1) 2007: 362-369
Coauthor Index
[j49] [j36] [c74] [j29] [j28] [j27] [j26] [j25] [j24] [j22] [j21] [j20] [j19] [j18] [j17] [j16] [j15] [c70] [c66] [c64] [c63] [c61] [c57] [c55] [c52] [c50] [c49] [c47] [c46] [c45] [c42] [c40] [c39] [c38] [j6] [c35] [c32] [c29] [c27] [c21] [c20] [c19] [c17] [j5] [j4] [j3] [j2] [c15] [c14] [c13] [j1] [c12] [c11] [c10] [c9] [c8] [c7]
Parham M. Kebria
aka: Parham Mohsenzadeh Kebria
aka: Parham Mohsenzadeh Kebria
Seyed Amin Khatami
aka: Amin Khatami
aka: Amin Khatami
[j115] [j114] [j110] [j109] [j107] [j106] [j105] [j103] [j101] [j100] [j99] [j98] [j96] [j94] [c142] [i41] [i39] [i38] [j92] [j91] [j90] [j88] [j87] [j86] [j85] [j81] [c141] [c139] [c137] [i35] [i33] [i30] [j80] [j79] [j78] [j77] [j76] [j75] [j74] [j73] [j72] [j71] [j70] [j69] [j68] [j67] [j66] [j65] [j64] [j63] [c135] [c133] [c132] [c131] [c130] [c129] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i16] [i14] [i13] [i12] [j62] [j61] [j60] [j59] [j58] [j57] [j56] [j55] [c128] [c127] [c126] [c125] [c124] [c123] [c122] [c121] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [j53] [j52] [j51] [j50] [j48] [c120] [c119] [c118] [c117] [c116] [c115] [c114] [c113] [c112] [c111] [c110] [c109] [c108] [c107] [c106] [c105] [c104] [c103] [c102] [c101] [i2] [j46] [j45] [j44] [j43] [j42] [c100] [c99] [c98] [c97] [c96] [c95] [c94] [c93] [j39] [j38] [j37] [j36] [j35] [j34] [j33] [c92] [c91] [c90] [c89] [c88] [c86] [c85] [c84] [c83] [c82] [c81] [c80] [j31] [j30] [c79] [c78] [c77] [c76] [c75] [c74] [c71] [j29] [j28] [j26] [j25] [j23] [j22] [j21] [j20] [j19] [j18] [j17] [j16] [j15] [j13] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c62] [c59] [c57] [c56] [c55] [c54] [c51] [j11] [j10] [j8] [c50] [c49] [c48] [c45] [c44] [c42] [c41] [c40] [c39] [c38] [c37] [c35] [c34] [c33] [c32] [c29] [c26] [c25] [c24] [c20] [c19] [c17] [j5] [j4] [j3] [j2] [c15] [c14] [c13] [j1] [c12] [c11] [c10] [c9] [c8] [c7]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-10 20:46 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
