Abbas Khosravi

发表

Multiclass Informative Instance Transfer Learning Framework for Motor Imagery-Based Brain-Computer Interface

Saeid Nahavandi, Ibrahim Hossain, Abbas Khosravi, 2018, Comput. Intell. Neurosci..

Path Planning for CNC Machines Considering Centripetal Acceleration and Jerk

Saeid Nahavandi, Abbas Khosravi, Abbas Shahzadeh, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

Aggregation of Pi-based forecast to enhance prediction accuracy

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

A Cloud Bidding Framework for Deadline Constrained Jobs

Rajkumar Buyya, Saeid Nahavandi, Abbas Khosravi, 2019, 2019 IEEE International Conference on Industrial Technology (ICIT).

Weighted Autocorrelation based Prediction Interval Optimization for Wind Power Generation

Saeid Nahavandi, Abbas Khosravi, Hussain Mohammed Dipu Kabir, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Classification of sags gathered in distribution substations based on multiway principal component analysis

Abbas Khosravi, Joaquim Melendez, Joan Colomer, 2009 .

Batch Mode Query by Committee for Motor Imagery-Based BCI

Saeid Nahavandi, Ibrahim Hossain, Abbas Khosravi, 2019, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Skew-Tree Based Multistage Fuzzy Controller for Nonlinear Systems

Xianyi Zeng, Jie Lu, Abbas Khosravi, 2007, EUSFLAT Conf..

Application of Cuckoo Search for Design Optimization of Heat Exchangers

Saeid Nahavandi, Abbas Khosravi, Rihanna Khosravi, 2014, ICONIP.

Drivers Performance Evaluation using Physiological Measurement in a Driving Simulator

Saeid Nahavandi, Abbas Khosravi, Parham M. Kebria, 2018, 2018 Digital Image Computing: Techniques and Applications (DICTA).

A review on computational intelligence methods for controlling traffic signal timing

Abbas Khosravi, Sahar Araghi, Douglas C. Creighton, 2015, Expert Syst. Appl..

Experimental Comparison Study on Joint and Cartesian Space Control Schemes for a Teleoperation System Under Time-Varying Delay

Saeid Nahavandi, Abbas Khosravi, Mehrdad Saif, 2019, 2019 IEEE International Conference on Industrial Technology (ICIT).

Prediction Interval Estimation of Electricity Prices Using PSO-Tuned Support Vector Machines

Bijaya K. Panigrahi, Abbas Khosravi, B. K. Panigrahi, 2015, IEEE Transactions on Industrial Informatics.

Multi-Output Interval Type-2 Fuzzy Logic System for Protein Secondary Structure Prediction

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2015, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting

Abbas Khosravi, Jafreezal Jaafar, Saima Hassan, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Intelligent cuckoo search optimized traffic signal controllers for multi-intersection network

Abbas Khosravi, Sahar Araghi, Douglas C. Creighton, 2015, Expert Syst. Appl..

Influence of meta-heuristic optimization on the performance of adaptive interval type2-fuzzy traffic signal controllers

Saeid Nahavandi, Abbas Khosravi, Sahar Araghi, 2017, Expert Syst. Appl..

Prediction Interval Construction and Optimization for Adaptive Neurofuzzy Inference Systems

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2011, IEEE Transactions on Fuzzy Systems.

Quantifying uncertainties of neural network-based electricity price forecasts

Saeid Nahavandi, Abbas Khosravi, Doug Creighton, 2013 .

An efficient hybrid algorithm for fire flame detection

Saeid Nahavandi, Abbas Khosravi, Saeed Mirghasemi, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Load Forecasting Accuracy through Combination of Trimmed Forecasts

Abbas Khosravi, Jafreezal Jaafar, Saima Hassan, 2012, ICONIP.

Comprehensive Review of Neural Network-Based Prediction Intervals and New Advances

Amir F. Atiya, Saeid Nahavandi, Abbas Khosravi, 2011, IEEE Transactions on Neural Networks.

A novel aggregate gene selection method for microarray data classification

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2015, Pattern Recognit. Lett..

Uncertainty quantification for wind farm power generation

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Training of interval type-2 fuzzy logic system using extreme learning machine for load forecasting

Abbas Khosravi, Jafreezal Jaafar, Saima Hassan, 2015, IMCOM.

Spike sorting using locality preserving projection with gap statistics and landmark-based spectral clustering

Saeid Nahavandi, Abbas Khosravi, Douglas Creighton, 2014, Journal of Neuroscience Methods.

Control of Polystyrene Batch Reactor Using Fuzzy Logic Controller

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

Active transfer learning and selective instance transfer with active learning for motor imagery based BCI

Saeid Nahavandi, Ibrahim Hossain, Abbas Khosravi, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

A new neural network-based type reduction algorithm for interval type-2 fuzzy logic systems

Saeid Nahavandi, Abbas Khosravi, Rihanna Khosravi, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

A Predictive KH-Based Model to Enhance the Performance of Industrial Electric Arc Furnaces

Tao Jin, Ameena Saad Al-Sumaiti, Wencong Su, 2019, IEEE Transactions on Industrial Electronics.

Medical image analysis using wavelet transform and deep belief networks

Chee Peng Lim, Saeid Nahavandi, Abbas Khosravi, 2017, Expert Syst. Appl..

Neural network and interval type-2 fuzzy system for stock price forecasting

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Design of Distributed Adaptive Neural Traffic Signal Timing Controller by Cuckoo Search Optimization

Abbas Khosravi, Sahar Araghi, Douglas C. Creighton, 2015, ICONIP.

Neural Network-Based Uncertainty Quantification: A Survey of Methodologies and Applications

Saeid Nahavandi, Abbas Khosravi, Mohammad Anwar Hosen, 2018, IEEE Access.

Automatic spike sorting by unsupervised clustering with diffusion maps and silhouettes

Saeid Nahavandi, Abbas Khosravi, Asim Bhatti, 2015, Neurocomputing.

Improving the Quality of Load Forecasts Using Smart Meter Data

Saeid Nahavandi, Abbas Khosravi, Abbas Shahzadeh, 2015, ICONIP.

A neural network-GARCH-based method for construction of Prediction Intervals

Saeid Nahavandi, Abbas Khosravi, Doug Creighton, 2013 .

A novel modular Q-learning architecture to improve performance under incomplete learning in a grid soccer game

Abbas Khosravi, Sahar Araghi, Michael Johnstone, 2013, Eng. Appl. Artif. Intell..

Particle swarm optimization for construction of neural network-based prediction intervals

Abbas Khosravi, Dipti Srinivasan, Hao Quan, 2014, Neurocomputing.

A Wavelet Deep Belief Network-Based Classifier for Medical Images

Chee Peng Lim, Saeid Nahavandi, Abbas Khosravi, 2016, ICONIP.

Load Forecasting Using Interval Type-2 Fuzzy Logic Systems: Optimal Type Reduction

Saeid Nahavandi, Abbas Khosravi, S. Nahavandi, 2014, IEEE Transactions on Industrial Informatics.

Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals

Saeid Nahavandi, U. Rajendra Acharya, Abbas Khosravi, 2020, Sensors.

Improving Prediction Interval Quality: A Genetic Algorithm-Based Method Applied to Neural Networks

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2009, ICONIP.

A new PSO-based approach to fire flame detection using K-Medoids clustering

Chee Peng Lim, Saeid Nahavandi, Abbas Khosravi, 2017, Expert Syst. Appl..

A heterogeneous defense method using fuzzy decision making

Saeid Nahavandi, Abbas Khosravi, Ehsan Lotfi, 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Performance Analysis of Two Advanced Controllers for Polystyrene Polymerization in Batch Reactor

Saeid Nahavandi, Abbas Khosravi, Douglas Creighton, 2012, WCE 2012.

Adaptive Type-2 Fuzzy Control Scheme for Robust Teleoperation under Time-Varying Delay and Uncertainties

Saeid Nahavandi, Abbas Khosravi, Parham M. Kebria, 2019, 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE).

EEG signal classification for BCI applications by wavelets and interval type-2 fuzzy logic systems

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2015, Expert Syst. Appl..

Hybrid neural-evolutionary model for electricity price forecasting

Saeid Nahavandi, Abbas Khosravi, Zhang Guofan, 2011, The 2011 International Joint Conference on Neural Networks.

Calibration Time Reduction Using Subjective Features Selection Based Transfer Learning For Multiclass BCI

Saeid Nahavandi, Ibrahim Hossain, Abbas Khosravi, 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Evaluating Architecture Impacts on Deep Imitation Learning Performance for Autonomous Driving

Saeid Nahavandi, Roohallah Alizadehsani, Ibrahim Hossain, 2019, 2019 IEEE International Conference on Industrial Technology (ICIT).

Developing a Robust Prediction Interval Based Criterion for Neural Network Model Selection

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2010, ICONIP.

Mass spectrometry cancer data classification using wavelets and genetic algorithm

Saeid Nahavandi, Abbas Khosravi, Douglas Creighton, 2015, FEBS letters.

Hybrid Model for the Training of Interval Type-2 Fuzzy Logic System

Mojtaba Ahmadieh Khanesar, Abbas Khosravi, Jafreezal Jaafar, 2015, ICONIP.

A New Approach Based on Support Vector Machine for Solving Stochastic Optimization

Saeid Nahavandi, Abbas Khosravi, Seyed Amin Khatami, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

Construction of Optimal Prediction Intervals for Load Forecasting Problems

Saeid Nahavandi, Abbas Khosravi, Doug Creighton, 2010, IEEE Transactions on Power Systems.

Reactive Power Compensation in Electric Arc Furnaces Using Prediction Intervals

Saeid Nahavandi, Abbas Khosravi, Abdollah Kavousi-Fard, 2017, IEEE Transactions on Industrial Electronics.

Informative instance transfer learning with subject specific frequency responses for motor imagery brain computer interface

Saeid Nahavandi, Ibrahim Hossain, Abbas Khosravi, 2017, 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

A New Color Space Based on K-Medoids Clustering for Fire Detection

Saeid Nahavandi, Abbas Khosravi, Saeed Mirghasemi, 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.

Developing optimal neural network metamodels based on prediction intervals

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2009, 2009 International Joint Conference on Neural Networks.

Improving the Quality of Prediction Intervals Through Optimal Aggregation

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2015, IEEE Transactions on Industrial Electronics.

Integration of Ensemble and Evolutionary Machine Learning Algorithms for Monitoring Diver Behavior Using Physiological Signals

Saeid Nahavandi, Abbas Khosravi, Moloud Abdar, 2019, IEEE Access.

A Particle Swarm Optimization-based washout filter for improving simulator motion fidelity

Chee Peng Lim, Saeid Nahavandi, Arash Mohammadi, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Partial Adversarial Training for Prediction Interval

Saeid Nahavandi, Abbas Khosravi, Hussain Mohammed Dipu Kabir, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Data Mining Analysis of an Urban Tunnel Pressure Drop Based on CFD Data

Saeid Nahavandi, Abbas Khosravi, Seyed Amin Khatami, 2015, ICONIP.

Variance-Covariance Based Weighing for Neural Network Ensembles

Abbas Khosravi, Jafreezal Jaafar, Saima Hassan, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

Prediction Interval-Based Control of Nonlinear Systems Using Neural Networks

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2015, ICONIP.

Incorporating Wind Power Forecast Uncertainties Into Stochastic Unit Commitment Using Neural Network-Based Prediction Intervals

Abbas Khosravi, Dipti Srinivasan, Hao Quan, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Generalized Noise Patterns for (N+1)/N-factor Non-linear Down-sampling

Saeid Nahavandi, Abbas Khosravi, Hussain Mohammed Dipu Kabir, 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).

EEG signal analysis for BCI application using fuzzy system

Saeid Nahavandi, Abbas Khosravi, Imali Hettiarachchi, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Deep Imitation Learning: The Impact of Depth on Policy Performance

Saeid Nahavandi, Roohallah Alizadehsani, Ibrahim Hossain, 2018, ICONIP.

Prediction interval estimation for wind farm power generation forecasts using support vector machines

Bijaya K. Panigrahi, Abbas Khosravi, Nitin Anand Shrivastava, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Robust Adaptive Synchronisation of a Single-Master Multi-Slave Teleoperation System over Delayed Communication

Saeid Nahavandi, Fernando Bello, Abbas Khosravi, 2019, 2019 IEEE International Conference on Industrial Technology (ICIT).

Optimizing the quality of bootstrap-based prediction intervals

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2011, The 2011 International Joint Conference on Neural Networks.

Semi-Supervised Transfer Learning with Genetic Algorithm Tuned Transformation and Novel Label Transfer Mechanism

Saeid Nahavandi, Abbas Khosravi, Thanh Nguyen, 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Prediction interval estimation for electricity price and demand using support vector machines

Bijaya K. Panigrahi, Abbas Khosravi, Nitin Anand Shrivastava, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

An Interval Intelligent-based Approach for Fault Detection and Modelling

Abbas Khosravi, Esteban R. Gelso, Joaquim Armengol Llobet, 2007, 2007 IEEE International Fuzzy Systems Conference.

Structural classification of proteins through amino acid sequence using interval type-2 fuzzy logic system

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

A Model Predictive Control-based Motion Cueing Algorithm using an optimized Nonlinear Scaling for Driving Simulators

Chee Peng Lim, Saeid Nahavandi, Abbas Khosravi, 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).

Neural Network Adaptive Control of Teleoperation Systems with Uncertainties and Time-Varying Delay

Saeid Nahavandi, Abbas Khosravi, Zoran Najdovski, 2018, 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE).

Seeded transfer learning for regression problems with deep learning

Saeid Nahavandi, Abbas Khosravi, Thanh Nguyen, 2019, Expert Syst. Appl..

A novel objective function for design optimization of shell and tube heat exchangers

Saeid Nahavandi, Abbas Khosravi, Rihanna Khosravi, 2015, 2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA).

Nonlinear programming problem solving based on winner take all emotional neural network for tensegrity structure design

Saeid Nahavandi, Abbas Khosravi, Ehsan Lotfi, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Construction of neural network-based prediction intervals using particle swarm optimization

Abbas Khosravi, Dipti Srinivasan, Hao Quan, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Assessing performance of genetic and firefly algorithms for optimal design of heat exchangers

Saeid Nahavandi, Abbas Khosravi, Rihanna Khosravi, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Intelligent Traffic Light Control of Isolated Intersections Using Machine Learning Methods

Abbas Khosravi, Sahar Araghi, Michael Johnstone, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

A deep-structural medical image classification for a Radon-based image retrieval

Saeid Nahavandi, Hamid R. Tizhoosh, Abbas Khosravi, 2017, 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE).

Prediction interval construction using interval type-2 Fuzzy Logic systems

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2012, 2012 IEEE International Conference on Fuzzy Systems.

Extreme learning machine based transfer learning algorithms: A survey

Saeid Nahavandi, Abbas Khosravi, Thanh Nguyen, 2017, Neurocomputing.

Parallel deep solutions for image retrieval from imbalanced medical imaging archives

Saeid Nahavandi, Hamid R. Tizhoosh, Abbas Khosravi, 2018, Appl. Soft Comput..

Designing an H_infinity Fuzzy LMI-Based Consensus Protocol for Nonlinear Multi-agent Systems

Saeid Nahavandi, Abbas Khosravi, Pegah Tabarisaadi, 2019, 2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom).

Hierarchical Gene Selection and Genetic Fuzzy System for Cancer Microarray Data Classification

Saeid Nahavandi, Abbas Khosravi, Douglas Creighton, 2015, PloS one.

Optimal design of adaptive type-2 neuro-fuzzy systems: A review

Mojtaba Ahmadieh Khanesar, Abbas Khosravi, Jafreezal Jaafar, 2016, Appl. Soft Comput..

Classification of neural action potentials using mean shift clustering

Saeid Nahavandi, Abbas Khosravi, Imali Hettiarachchi, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

An efficient Neuroevolution Approach for Heart Disease Detection

Saeid Nahavandi, Abbas Khosravi, Seyed Mohammad Jafar Jalali, 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).

Epidemiological dynamics modeling by fusion of soft computing techniques

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Load Forecasting and Neural Networks: A Prediction Interval-Based Perspective

Saeid Nahavandi, Abbas Khosravi, Doug Creighton, 2010 .

Constructing Optimal Prediction Intervals by Using Neural Networks and Bootstrap Method

Saeid Nahavandi, Abbas Khosravi, Dipti Srinivasan, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Prediction interval with examples of similar pattern and prediction strength

Saeid Nahavandi, Abbas Khosravi, Hussain Mohammed Dipu Kabir, 2017, 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE).

Optimal fuzzy traffic signal controller for an isolated intersection

Saeid Nahavandi, Abbas Khosravi, Sahar Araghi, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Prediction interval-based neural network modelling of polystyrene polymerization reactor – A new perspective of data-based modelling

Saeid Nahavandi, Abbas Khosravi, Douglas Creighton, 2014 .

Coronary artery disease detection using computational intelligence methods

Jafar Habibi, Saeid Nahavandi, Roohallah Alizadehsani, 2016, Knowl. Based Syst..

Switch point finding using polynomial regression for fuzzy type reduction algorithms

Dongrui Wu, Saeid Nahavandi, Abbas Khosravi, 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Linear approximation of Karnik-Mendel type reduction algorithm

Dongrui Wu, Saeid Nahavandi, Abbas Khosravi, 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Bayesian Model Averaging of Load Demand Forecasts from Neural Network Models

Abbas Khosravi, Jafreezal Jaafar, Saima Hassan, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

RNA-seq data analysis using nonparametric Gaussian process models

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Non-invasive detection of coronary artery disease in high-risk patients based on the stenosis prediction of separate coronary arteries

Saeid Nahavandi, Roohallah Alizadehsani, Abbas Khosravi, 2018, Comput. Methods Programs Biomed..

Prediction interval-based neural network controller for nonlinear processes

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Optimal parameters of an ELM-based interval type 2 fuzzy logic system: a hybrid learning algorithm

Mojtaba Ahmadieh Khanesar, Abbas Khosravi, Jafreezal Jaafar, 2018, Neural Computing and Applications.

Evaluation and comparison of type reduction algorithms from a forecast accuracy perspective

Saeid Nahavandi, Abbas Khosravi, Rihanna Khosravi, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Estimating performance indexes of a baggage handling system using metamodels

Saeid Nahavandi, Abbas Khosravi, Doug Creighton, 2009, 2009 IEEE International Conference on Industrial Technology.

Forecasting Bike Sharing Demand Using Fuzzy Inference Mechanism

Saeid Nahavandi, Abbas Khosravi, Mohammad Anwar Hosen, 2015, ICONIP.

A multi-objective genetic type-2 fuzzy extreme learning system for the identification of nonlinear dynamic systems

Mojtaba Ahmadieh Khanesar, Abbas Khosravi, Jafreezal Jaafar, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Distributed Q-learning Controller for a Multi-Intersection Traffic Network

Abbas Khosravi, Sahar Araghi, Douglas C. Creighton, 2015, ICONIP.

Lung cancer classification using deep learned features on low population dataset

Saeid Nahavandi, Abbas Khosravi, Mohammad Anwar Hosen, 2017, 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE).

Electricity load and price forecasting with influential factors in a deregulated power industry

Abbas Khosravi, Jafreezal Jaafar, Saima Hassan, 2014, 2014 9th International Conference on System of Systems Engineering (SOSE).

Classification of Voltage Sags based on Multiway Principal Component Analysis and Case Based Reasoning

Abbas Khosravi, Joaquim Melendez, Joan Colomer, 2008 .

Adaptive Type-2 Fuzzy Neural-Network Control for Teleoperation Systems With Delay and Uncertainties

Dongrui Wu, Saeid Nahavandi, Abbas Khosravi, 2020, IEEE Transactions on Fuzzy Systems.

Feature Selection for Interval Forecasting of Electricity Demand Time Series Data

Irena Koprinska, Mashud Rana, Abbas Khosravi, 2015 .

Design of an Optimal ANFIS Traffic Signal Controller by Using Cuckoo Search for an Isolated Intersection

Abbas Khosravi, Sahar Araghi, Douglas C. Creighton, 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.

Neural signal analysis by landmark-based spectral clustering with estimated number of clusters

Saeid Nahavandi, Abbas Khosravi, Asim Bhatti, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Prediction interval-based modelling of polymerization reactor: A new modelling strategy for chemical reactors

Saeid Nahavandi, Abbas Khosravi, Douglas Creighton, 2014 .

Output uncertainty score for decision making processes using interval type-2 fuzzy systems

Saeid Nahavandi, Abbas Khosravi, Thanh Nguyen, 2017, Eng. Appl. Artif. Intell..

Optimal design of traffic signal controller using neural networks and fuzzy logic systems

Abbas Khosravi, Sahar Araghi, Douglas C. Creighton, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Drivers Awareness Evaluation using Physiological Measurement in a Driving Simulator

Saeid Nahavandi, Abbas Khosravi, Parham M. Kebria, 2019, 2019 IEEE International Conference on Industrial Technology (ICIT).

Q-learning method for controlling traffic signal phase time in a single intersection

Abbas Khosravi, Sahar Araghi, Michael Johnstone, 2013, 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013).

Classification of healthcare data using genetic fuzzy logic system and wavelets

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2015, Expert Syst. Appl..

Short-Term Load and Wind Power Forecasting Using Neural Network-Based Prediction Intervals

Abbas Khosravi, Dipti Srinivasan, Hao Quan, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Construction of neural network-based prediction intervals for short-term electrical load forecasting

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2013, 2013 IEEE Computational Intelligence Applications in Smart Grid (CIASG).

A Knowledge Discovery in Motion Sickness: A Comprehensive Literature Review

Saeid Nahavandi, Roohallah Alizadehsani, Darius Nahavandi, 2019, IEEE Access.

Combined Nonparametric Prediction Intervals for Wind Power Generation

Saeid Nahavandi, Abbas Khosravi, S. Nahavandi, 2013, IEEE Transactions on Sustainable Energy.

Smooth path planning using biclothoid fillets for high speed CNC machines

Saeid Nahavandi, Abbas Khosravi, Abbas Shahzadeh, 2018, International Journal of Machine Tools and Manufacture.

ANFIS Traffic Signal Controller for an Isolated Intersection

Abbas Khosravi, Sahar Araghi, Douglas C. Creighton, 2014, IJCCI.

A Deep Learning-Based Model for Tactile Understanding on Haptic Data Percutaneous Needle Treatment

Saeid Nahavandi, Abbas Khosravi, Yonghang Tai, 2017, ICONIP.

Optimal Autonomous Driving Through Deep Imitation Learning and Neuroevolution

Saeid Nahavandi, Darius Nahavandi, Khaled Saleh, 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).

Hybrid Controller with the Combination of FLC and Neural Network-Based IMC for Nonlinear Processes

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2015, ICONIP.

Medical diagnosis by fuzzy standard additive model with wavelets

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Probability Density for Amazon Spot Instance Price

Rajkumar Buyya, Saeid Nahavandi, Abbas Khosravi, 2019, 2019 IEEE International Conference on Industrial Technology (ICIT).

Medical data classification using interval type-2 fuzzy logic system and wavelets

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2015, Appl. Soft Comput..

Percentile range around the mean of center distance based informative transfer for motor imagery Brain-Computer Interface

Saeid Nahavandi, Ibrahim Hossain, Abbas Khosravi, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Lower Upper Bound Estimation Method for Construction of Neural Network-Based Prediction Intervals

Amir F. Atiya, Saeid Nahavandi, Abbas Khosravi, 2011, IEEE Transactions on Neural Networks.

A New Fuzzy-Based Combined Prediction Interval for Wind Power Forecasting

Saeid Nahavandi, Abbas Khosravi, Abdollah Kavousi-Fard, 2016, IEEE Transactions on Power Systems.

A New Preprocessing Approach to Preparation of Binary Patterns for FAM Neural Networks

Abbas Khosravi, Roohollah Barzamini, Javid Jouzdani, 2007, EUSFLAT Conf..

Improving load forecast accuracy by clustering consumers using smart meter data

Saeid Nahavandi, Abbas Khosravi, Abbas Shahzadeh, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Weighted informative inverse active class selection for motor imagery brain computer interface

Saeid Nahavandi, Ibrahim Hossain, Abbas Khosravi, 2017, 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE).

Prediction intervals for electricity load forecasting using neural networks

Irena Koprinska, Mashud Rana, Abbas Khosravi, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Feature Selection for Neural Network-Based Interval Forecasting of Electricity Demand Data

Irena Koprinska, Mashud Rana, Abbas Khosravi, 2013, ICANN.

Machine learning-based coronary artery disease diagnosis: A comprehensive review

Saeid Nahavandi, Roohallah Alizadehsani, Abbas Khosravi, 2019, Comput. Biol. Medicine.

Type-2 Fuzzy Neural Network Synchronization of Teleoperation Systems with Delay and Uncertainties

Saeid Nahavandi, Abbas Khosravi, Parham M. Kebria, 2019, 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE).

Wind ramp event prediction with parallelized gradient boosted regression trees

Bijaya K. Panigrahi, Saurav Gupta, Abbas Khosravi, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

EEG data classification using wavelet features selected by Wilcoxon statistics

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2014, Neural Computing and Applications.

A Swarm Optimization-Based Kmedoids Clustering Technique for Extracting Melanoma Cancer Features

Chee Peng Lim, Saeid Nahavandi, Abbas Khosravi, 2017, ICONIP.

Solving fuzzy programming with a consistent fuzzy number ranking

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Adaptive neuro-fuzzy interface system (ZNFIS) controller for polymerization reactor

Saeid Nahavandi, Abbas Khosravi, Mohammad Anwar Hosen, 2016, 2016 IEEE Conference on Norbert Wiener in the 21st Century (21CW).

Short term load forecasting using Interval Type-2 Fuzzy Logic Systems

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

Integrating Simulated Annealing and Delta Technique for Constructing Optimal Prediction Intervals

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2009, ICONIP.

Multiway Principal Component Analysis (MPCA) for Upstream/Downstream Classification of Voltage Sags Gathered in Distribution Substations

Abbas Khosravi, Jorge Sánchez, Joaquím Meléndez, 2008, Advances of Computational Intelligence in Industrial Systems.

Fuzzy system with tabu search learning for classification of motor imagery data

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2015, Biomed. Signal Process. Control..

An expert system for selecting wart treatment method

Saeid Nahavandi, Roohallah Alizadehsani, Abbas Khosravi, 2017, Comput. Biol. Medicine.

Prediction Intervals to Account for Uncertainties in Travel Time Prediction

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2011, IEEE Transactions on Intelligent Transportation Systems.

Artificial Neural Network Analysis of Twin Tunnelling-Induced Ground Settlements

Saeid Nahavandi, Abbas Khosravi, Seyed Amin Khatami, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

Robust Adaptive Control of Internet-based Bilateral Teleoperation Systems with Time-Varying Delay and Model Uncertainties

Saeid Nahavandi, Peng Shi, Abbas Khosravi, 2019, 2019 IEEE International Conference on Industrial Technology (ICIT).

Predicting amount of saleable products using neural network metamodels of casthouses

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2010, 2010 11th International Conference on Control Automation Robotics & Vision.

Hybrid multi-objective forecasting of solar photovoltaic output using Kalman filter based interval type-2 fuzzy logic system

Mojtaba Ahmadieh Khanesar, Amin Hajizadeh, Abbas Khosravi, 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Parsimonious Evolutionary-based Model Development for Detecting Artery Disease

Saeid Nahavandi, Roohallah Alizadehsani, Abbas Khosravi, 2019, 2019 IEEE International Conference on Industrial Technology (ICIT).

Deep imitation learning for autonomous vehicles based on convolutional neural networks

Saeid Nahavandi, Abbas Khosravi, Parham M. Kebria, 2020, IEEE/CAA Journal of Automatica Sinica.

Classification of Voltage Sags Based on MPCA an CBR

Mauricio Zapateiro, Abbas Khosravi, Joaquim Melendez, 2008 .

Interpreting and modeling baggage handling system as a System of Systems

Saeid Nahavandi, Abbas Khosravi, Doug Creighton, 2009, 2009 IEEE International Conference on Industrial Technology.

Multiclass EEG data classification using fuzzy systems

Saeid Nahavandi, Abbas Khosravi, Imali Hettiarachchi, 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

An interval type-2 fuzzy logic system-based method for prediction interval construction

Saeid Nahavandi, Abbas Khosravi, S. Nahavandi, 2014, Appl. Soft Comput..

Prediction interval-based controller for Chemical Reactor

Saeid Nahavandi, Abbas Khosravi, Peng Shi, 2017, 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE).

Prediction interval-based ANFIS controller for nonlinear processes

Saeid Nahavandi, Abbas Khosravi, Mohammad Anwar Hosen, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Effect of different initializations on EKM algorithm

Dongrui Wu, Saeid Nahavandi, Abbas Khosravi, 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Autonomous Robot Navigation System Using the Evolutionary Multi-Verse optimizer Algorithm

Saeid Nahavandi, Abbas Khosravi, Rachid Hedjam, 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).

Constructing prediction intervals for neural network metamodels of complex systems

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2009, 2009 International Joint Conference on Neural Networks.

Modification on enhanced Karnik-Mendel algorithm

Saeid Nahavandi, Abbas Khosravi, Syed Moshfeq Salaken, 2016, Expert Syst. Appl..

Probability Density Computation Neural Network for Time Series Data

Saeid Nahavandi, Abbas Khosravi, Parham M. Kebria, 2019, 2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom).

A Haptics Feedback Based-LSTM Predictive Model for Pericardiocentesis Therapy Using Public Introperative Data

Saeid Nahavandi, Jun Peng, Abbas Khosravi, 2017, ICONIP.

A GA-Based Pruning Fully Connected Network for Tuned Connections in Deep Networks

Saeid Nahavandi, Abbas Khosravi, Asef Nazari, 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).

Performance analysis of three advanced controllers for polymerization batch reactor: An experimental investigation

Saeid Nahavandi, Abbas Khosravi, Douglas Creighton, 2014 .

Prediction granules for uncertainty modelling

Saeid Nahavandi, Abbas Khosravi, Ehsan Lotfi, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Hidden Markov models for cancer classification using gene expression profiles

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2015, Inf. Sci..

Control Methods for Internet-Based Teleoperation Systems: A Review

Saeid Nahavandi, Abbas Khosravi, Hamid Abdi, 2019, IEEE Transactions on Human-Machine Systems.

Mass spectrometry-based proteomic data for cancer diagnosis using interval type-2 fuzzy system

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Facial emotion recognition using emotional neural network and hybrid of fuzzy c-means and genetic algorithm

Saeid Nahavandi, Abbas Khosravi, Ehsan Lotfi, 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

A prediction interval-based approach to determine optimal structures of neural network metamodels

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2010, Expert Syst. Appl..

Patient admission prediction using a pruned fuzzy min–max neural network with rule extraction

Chee Peng Lim, Andrew Stranieri, Saeid Nahavandi, 2014, Neural Computing and Applications.

UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion with Ensemble Monte Carlo Dropout for COVID-19 Detection pdf

Fakhri Karray, Saeid Nahavandi, Hak-Keung Lam, 2021, ArXiv.

Deep Representation Learning using Multilayer Perceptron and Stacked Autoencoder for Recommendation Systems

Saeid Nahavandi, Abbas Khosravi, Majid Meghdadi, 2021, 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images

Saeid Nahavandi, Afshin Shoeibi, Roohallah Alizadehsani, 2021, Biomedical Signal Processing and Control.

Uncertainty-Aware Credit Card Fraud Detection Using Deep Learning pdf

Saeid Nahavandi, Miadreza Shafie-Khah, João P. S. Catalão, 2021, Eng. Appl. Artif. Intell..

Stable Neural Adaptive Filters for Teleoperations With Uncertain Delays

Saeid Nahavandi, Abbas Khosravi, Parham M. Kebria, 2021, IEEE Robotics and Automation Letters.

ANN-Based LUBE Model for Interval Prediction of Compressive Strength of Concrete

Farnad Nasirzadeh, Abbas Khosravi, H. M. Dipu Kabir, 2021, Iranian Journal of Science and Technology, Transactions of Civil Engineering.

BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification

Saeid Nahavandi, Abbas Khosravi, Ryszard Tadeusiewicz, 2021, Inf. Sci..

Hypertrophic Cardiomyopathy Diagnosis Based on Cardiovascular Magnetic Resonance Using Deep Learning Techniques

Saeid Nahavandi, Afshin Shoeibi, Roohallah Alizadehsani, 2021, SSRN Electronic Journal.

Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning

Saeid Nahavandi, Abbas Khosravi, Moloud Abdar, 2021, Comput. Biol. Medicine.

Improving MC-Dropout Uncertainty Estimates with Calibration Error-based Optimization pdf

Saeid Nahavandi, Abbas Khosravi, Moloud Abdar, 2021, ArXiv.

Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients

Saeid Nahavandi, Afshin Shoeibi, Roohallah Alizadehsani, 2021, Scientific Reports.

Automated Deep CNN-LSTM Architecture Design for Solar Irradiance Forecasting

Saeid Nahavandi, Abbas Khosravi, Abdollah Kavousi-Fard, 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Human Activity Recognition from Knee Angle Using Machine Learning Techniques

Darius Nahavandi, Abbas Khosravi, Farhad Nazari, 2021, 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Effective Management of Energy Internet in Renewable Hybrid Microgrids: A Secured Data Driven Resilient Architecture

Abbas Khosravi, Abdollah Kavousi-Fard, Morteza Dabbaghjamanesh, 2021, IEEE Transactions on Industrial Informatics.

MCUa: Multi-Level Context and Uncertainty Aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification

Saeid Nahavandi, Mohamed Medhat Gaber, Zakaria Senousy, 2021, IEEE Transactions on Biomedical Engineering.

What happens in Face during a facial expression? Using data mining techniques to analyze facial expression motion vectors pdf

Saeid Nahavandi, Afshin Shoeibi, Roohallah Alizadehsani, 2021, ArXiv.

A Type-2 Fuzzy-based Multi-criteria Decision-making Method for Sustainable Development of Wind Power Plants in Iran

Abbas Khosravi, Mahdi Pourgholi, Aslan Gholami, 2021 .

A Novel Evolutionary-Based Deep Convolutional Neural Network Model for Intelligent Load Forecasting

Saeid Nahavandi, João P. S. Catalão, Abbas Khosravi, 2021, IEEE Transactions on Industrial Informatics.

Neural network-based interval forecasting of construction material prices

Farnad Nasirzadeh, Abbas Khosravi, H M Dipu Kabir, 2021, Journal of Building Engineering.

Objective Tinnitus Measurement via fNIRS and Machine Learning

Saeid Nahavandi, Roohallah Alizadehsani, Abbas Khosravi, 2021 .

Application of artificial intelligence in wearable devices: Opportunities and challenges

Roohallah Alizadehsani, Darius Nahavandi, Abbas Khosravi, 2021, Comput. Methods Programs Biomed..

Remodelling State-Space Prediction With Deep Neural Networks for Probabilistic Load Forecasting

Abbas Khosravi, Parul Arora, B. K. Panigrahi, 2021 .

CNN AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID 19 patients pdf

Saeid Nahavandi, Afshin Shoeibi, Roohallah Alizadehsani, 2021, ArXiv.

Confidence Aware Neural Networks for Skin Cancer Detection pdf

Saeid Nahavandi, Abbas Khosravi, Donya Khaledyan, 2021, ArXiv.

Towards novel deep neuroevolution models: chaotic levy grasshopper optimization for short-term wind speed forecasting

Saeid Nahavandi, João P. S. Catalão, Abbas Khosravi, 2021, Engineering with Computers.

Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data

Saeid Nahavandi, Afshin Shoeibi, Roohallah Alizadehsani, 2021, ACM Trans. Multim. Comput. Commun. Appl..

An Uncertainty-Aware Deep Learning Framework for Defect Detection in Casting Products pdf

Saeid Nahavandi, Abbas Khosravi, Afshar Shamsi Jokandan, 2021, ArXiv.

Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review

Saeid Nahavandi, Navid Ghassemi, Afshin Shoeibi, 2020, Comput. Biol. Medicine.

Uncertainty-aware Decisions in Cloud Computing

Rajkumar Buyya, Saeid Nahavandi, Abbas Khosravi, 2021, ACM Comput. Surv..

NN-based Prediction Interval for Nonlinear Processes Controller

Saeid Nahavandi, Abbas Khosravi, Douglas Creighton, 2021, International Journal of Control, Automation and Systems.

A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification

Saeid Nahavandi, Abbas Khosravi, Parham M. Kebria, 2021, 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Automated detection of shockable ECG signals: A review

Saeid Nahavandi, Ahmed A. Abd El-Latif, Abbas Khosravi, 2021, Inf. Sci..

A Fast and Reliable Approach for Driving Style Customization in Autonomous Vehicles

Saeid Nahavandi, Darius Nahavandi, Abbas Khosravi, 2021, 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods

Saeid Nahavandi, Afshin Shoeibi, Roohallah Alizadehsani, 2021, Results in Physics.

Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works pdf

Saeid Nahavandi, Navid Ghassemi, Afshin Shoeibi, 2021, ArXiv.

Detection of Epileptic Seizures on EEG Signals Using ANFIS Classifier, Autoencoders and Fuzzy Entropies

Navid Ghassemi, Afshin Shoeibi, Roohallah Alizadehsani, 2021, Biomed. Signal Process. Control..

Synthetic Datasets for Numeric Uncertainty Quantification

Saeid Nahavandi, Darius Nahavandi, Abbas Khosravi, 2021 .

Critical Review of Exoskeleton Technology: State of the art and development of physical and cognitive human-robot interface

Saeid Nahavandi, Darius Nahavandi, Abbas Khosravi, 2021 .

Accurate Prediction Using Triangular Type-2 Fuzzy Linear Regression: Simplifying Complex T2F Calculations pdf

Afshin Shoeibi, Roohallah Alizadehsani, Abbas Khosravi, 2021, IEEE Systems, Man, and Cybernetics Magazine.

Partial Adversarial Training for Neural Network-Based Uncertainty Quantification

Saeid Nahavandi, Abbas Khosravi, Abbas Khosravi, 2021, IEEE Transactions on Emerging Topics in Computational Intelligence.

Effectiveness of evolutionary algorithms for optimization of heat exchangers

Saeid Nahavandi, Hassan Hajabdollahi, Abbas Khosravi, 2015 .

Effects of type reduction algorithms on forecasting accuracy of IT2FLS models

Saeid Nahavandi, Abbas Khosravi, Abbas Khosravi, 2014, Appl. Soft Comput..

Risk factors prediction, clinical outcomes, and mortality in COVID‐19 patients

Saeid Nahavandi, Afshin Shoeibi, Roohallah Alizadehsani, 2020, Journal of medical virology.

Analysis of Driver Performance Using Hybrid of Weighted Ensemble Learning Technique and Evolutionary Algorithms

Saeid Nahavandi, Roohallah Alizadehsani, Darius Nahavandi, 2021 .

New K-medoids Clustering and Swarm Intelligence Approach to Fire Flame Detection

Chee Peng Lim, Saeid Nahavandi, Abbas Khosravi, 2016 .

Developing a computationally effective Interval Type-2 TSK Fuzzy Logic Controller

Saeid Nahavandi, Abbas Khosravi, Abbas Khosravi, 2020, J. Intell. Fuzzy Syst..

A novel deep neuroevolution-based image classification method to diagnose coronavirus disease (COVID-19)

Saeid Nahavandi, Abbas Khosravi, Sajad Ahmadian, 2021, Computers in Biology and Medicine.