A. Khosravi

发表

A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings

Abbas Khosravi, Muhammad Qamar Raza, M. Raza, 2015 .

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.

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.

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 Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges pdf

Li Liu, Xiaochun Cao, Abbas Khosravi, 2020, Inf. Fusion.

Estimation of prediction interval in ANN-based multi-GCMs downscaling of hydro-climatologic parameters

Vahid Nourani, A. Khosravi, E. Sharghi, 2019 .

Objective evaluation of deep uncertainty predictions for COVID-19 detection

Sheikh Mohammed Shariful Islam, D. Srinivasan, S. Nahavandi, 2022, Scientific reports.

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

Saeid Nahavandi, Abbas Khosravi, Douglas Creighton, 2014 .

Investigation of Process Dynamics and Control of Polystyrene Batch Reactor Using Hybrid Model

S. Nahavandi, A. Khosravi, D. Creighton, 2012, WCE 2012.

Applied Exoskeleton Technology: A Comprehensive Review of Physical and Cognitive Human-Robot-Interface

S. Nahavandi, A. Khosravi, Farhad Nazari, 2022 .

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).

From car sickness to autonomous car sickness: A review

Shady M. K. Mohamed, M. Hossny, J. Iskander, 2019, Transportation Research Part F: Traffic Psychology and Behaviour.

The impact of FOU size and number of MFs on the prediction performance of Interval Type-2 Fuzzy Logic Systems

A. Khosravi, J. Jaafar, Saima Hassan, 2015, 2015 International Symposium on Mathematical Sciences and Computing Research (iSMSC).

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.

Probability Density for Amazon Spot Instance

Price, R. Buyya, S. Nahavandi, 2019 .

Aleatory-aware deep uncertainty quantification for transfer learning.

S. Nahavandi, A. Khosravi, Usha R. Acharya, 2022, Computers in biology and medicine.

Effects of type reduction algorithms on forecasting accuracy of IT2FLS models

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

Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review pdf

U. Rajendra Acharya, Navid Ghassemi, Afshin Shoeibi, 2020, ArXiv.

Factors associated with mortality in hospitalized cardiovascular disease patients infected with COVID‐19

Sheikh Mohammed Shariful Islam, N. Sarrafzadegan, S. Nahavandi, 2022, Immunity, inflammation and disease.

Occupational health-related risk factors in mining industry

A. Khosravi, F. Nasirzadeh, Nazi Soltanmohammadlou, 2021, OIL AND GAS ENGINEERING (OGE-2021).

Automatic Diagnosis of Schizophrenia and Attention Deficit Hyperactivity Disorder in rs-fMRI Modality using Convolutional Autoencoder Model and Interval Type-2 Fuzzy Regression

U. Acharya, J. Górriz, A. Khosravi, 2022, ArXiv.

Controlled Dropout for Uncertainty Estimation

S. Nahavandi, A. Khosravi, Ashikur Rahman, 2022, ArXiv.

Automatic Autism Spectrum Disorder Detection Using Artificial Intelligence Methods with MRI Neuroimaging: A Review

A. Subasi, U. Acharya, J. Górriz, 2022, ArXiv.

The internet of medical things and artificial intelligence: trends, challenges, and opportunities

S. Nahavandi, U. Acharya, A. Khosravi, 2022, Biocybernetics and Biomedical Engineering.

RF-CNN-F: random forest with convolutional neural network features for coronary artery disease diagnosis based on cardiac magnetic resonance

Javad Hassannataj Joloudari, Sheikh Mohammed Shariful Islam, M. Tartibi, 2022, Scientific Reports.

Objective measurement of tinnitus using functional near-infrared spectroscopy and machine learning

S. Nahavandi, A. Khosravi, J. Fallon, 2020, PloS one.

Automatic Autism Spectrum Disorder Detection Using Artificial Intelligence Methods with MRI Neuroimaging: A Review

A. Subasi, U. Acharya, J. Górriz, 2022, ArXiv.

A new approach to detect the physical fatigue utilizing heart rate signals

S. Nahavandi, A. Khosravi, Sadiq Hussain, 2020, Research in Cardiovascular Medicine.

Neural Network Training Using a Biogeography-Based Learning Strategy

Saeid Nahavandi, Gerald Schaefer, Abbas Khosravi, 2020, ICONIP.

An advanced short-term wind power forecasting framework based on the optimized deep neural network models

J. Catalão, S. Nahavandi, A. Khosravi, 2022, International Journal of Electrical Power & Energy Systems.

A New Ensemble Reinforcement Learning Strategy for Solar Irradiance Forecasting using Deep Optimized Convolutional Neural Network Models

J. Catalão, S. Nahavandi, A. Khosravi, 2021, 2021 International Conference on Smart Energy Systems and Technologies (SEST).

An Advanced Generative Deep Learning Framework for Probabilistic Spatio-temporal Wind Power Forecasting

J. Catalão, S. Nahavandi, A. Khosravi, 2021, 2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe).

An oppositional-Cauchy based GSK evolutionary algorithm with a novel deep ensemble reinforcement learning strategy for COVID-19 diagnosis

S. Nahavandi, A. Khosravi, M. Alazab, 2021, Applied Soft Computing.

An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works

S. Nahavandi, U. Acharya, J. Górriz, 2021, Comput. Biol. Medicine.

RLMD-PA: A Reinforcement Learning-Based Myocarditis Diagnosis Combined with a Population-Based Algorithm for Pretraining Weights

M. M. Azizan, N. A. Kadri, Seyed Vahid Moravvej, 2022, Contrast media & molecular imaging.

An advanced deep neuroevolution model for probabilistic load forecasting

B. K. Panigrahi, J. Catalão, A. Khosravi, 2022, Electric Power Systems Research.

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

Amir Khani Yengikand, S. Nahavandi, A. Khosravi, 2021, 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review

A. Subasi, U. Acharya, J. Górriz, 2022, Frontiers in Molecular Neuroscience.

UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection

H. Lam, F. Karray, S. Nahavandi, 2021, Information Fusion.

Neural network-based interval forecasting of construction material prices

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

Automated Diagnosis of Cardiovascular Diseases from Cardiac Magnetic Resonance Imaging Using Deep Learning Models: A Review

U. Acharya, J. Górriz, A. Khosravi, 2022, ArXiv.

An intelligent driven deep residual learning framework for brain tumor classification using MRI images

A. Khosravi, S. M. E. Jalali, Saeid Nahavandi, 2022, Expert Systems with Applications.

Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence

U. Acharya, J. Górriz, A. Khosravi, 2022, ArXiv.

Hercules: Deep Hierarchical Attentive Multilevel Fusion Model With Uncertainty Quantification for Medical Image Classification

Alejandro F Frangi, Mohammad Amin Fahami, Alejandro F. Frangi, 2023, IEEE Transactions on Industrial Informatics.

Automatic diagnosis of schizophrenia and attention deficit hyperactivity disorder in rs-fMRI modality using convolutional autoencoder model and interval type-2 fuzzy regression

U. Acharya, J. Górriz, A. Khosravi, 2022, Cognitive Neurodynamics.

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.

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

Shady M. K. Mohamed, Mohammad Reza Chalak Qazani, S. Nahavandi, 2021, 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review

J. Górriz, A. Khosravi, Usha R. Acharya, 2022, Inf. Fusion.

Applied Exoskeleton Technology: A Comprehensive Review of Physical and Cognitive Human-Robot Interaction

S. Nahavandi, A. Khosravi, Farhad Nazari, 2021, 2111.12860.

EEG data classification using wavelet features selected by Wilcoxon statistics

S. Nahavandi, A. Khosravi, D. Creighton, 2015, Neural Computing and Applications.

SpinalNet: Deep Neural Network With Gradual Input

A. Atiya, D. Srinivasan, S. Nahavandi, 2020, IEEE Transactions on Artificial Intelligence.

Hybrid Artificial Neural Network–Genetic Algorithm-Based Technique to Optimize a Steady-State Gas-to-Liquids Plant

Abbas Khosravi, Elham Yasari, Vahid Khezri, 2020, Industrial & Engineering Chemistry Research.

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

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

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..

DoubleU-Net++: Architecture with Exploit Multiscale Features for Vertebrae Segmentation

A. Khosravi, Mahdi Bonyani, Simindokht Jahangard, 2022, ArXiv.

A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs

S. Nahavandi, U. Acharya, A. Khosravi, 2021, Knowl. Based Syst..

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 genetic algorithm-based method for improving quality of travel time prediction intervals

Saeid Nahavandi, Abbas Khosravi, J. W. C. van Lint, 2011 .

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.

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

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

A Survey of Computational Intelligence Techniques for Wind Power Uncertainty Quantification in Smart Grids

Abbas Khosravi, Dipti Srinivasan, Hao Quan, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991–2020) pdf

Amir F. Atiya, U. Rajendra Acharya, Afshin Shoeibi, 2020, Annals of operations research.

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 .

Multi-criteria photovoltaic potential assessment using fuzzy logic in decision-making: A case study of Iran

Abbas Khosravi, Majid Zandi, Mahdi Pourgholi, 2020 .

Fuzzy Portfolio Allocation Models Through a New Risk Measure and Fuzzy Sharpe Ratio

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2015, IEEE Transactions on Fuzzy Systems.

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..

Approximation of centroid end-points and switch points for replacing type reduction algorithms

Dongrui Wu, Saeid Nahavandi, Abbas Khosravi, 2015, Int. J. Approx. Reason..

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.

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

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

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).

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).

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).

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.

Interval Type-2 Fuzzy Logic Systems for Load Forecasting: A Comparative Study

D. Srinivasan, S. Nahavandi, A. Khosravi, 2012, IEEE Transactions on Power Systems.

Application of artificial intelligence in wearable devices: Opportunities and challenges

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

Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review

S. Nahavandi, U. Acharya, A. Khosravi, 2020, ArXiv.

Hidden Markov models for cancer classification using gene expression profiles

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

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

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

Classification of healthcare data using genetic fuzzy logic system and wavelets

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

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).

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.

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..

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..

A Deep Bayesian Ensembling Framework for COVID-19 Detection using Chest CT Images

Saeid Nahavandi, Abbas Khosravi, Pegah Tabarisaadi, 2020, 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Automatic spike sorting by unsupervised clustering with diffusion maps and silhouettes

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

Ruptured Hydatid Cysts Resulted in Infectious Pericardial Effusion and Development of Cardiac Tamponade: A Rare Presentation

S. Nahavandi, A. Khosravi, R. Alizadehsani, 2021, Multidisciplinary Cardiovascular Annals.

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.

An Uncertainty-Aware Transfer Learning-Based Framework for COVID-19 Diagnosis pdf

Saeid Nahavandi, Darius Nahavandi, Abbas Khosravi, 2020, IEEE Transactions on Neural Networks and Learning Systems.

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..

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

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

Exoskeleton Technology: State-of-the-art and -practice of Physical and Cognitive Human Robot Interface

S. Nahavandi, A. Khosravi, Farhad Nazari, 2022 .

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

S. Nahavandi, A. Khosravi, Farhad Nazari, 2022 .

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).

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..

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

U. Rajendra Acharya, Navid Ghassemi, Afshin Shoeibi, 2020, Comput. Biol. Medicine.

The need for quantification of uncertainty in artificial intelligence for clinical data analysis: increasing the level of trust in the decision-making process

Sheikh Mohammed Shariful Islam, A. Vasilakos, A. Khosravi, 2022, IEEE Systems, Man, and Cybernetics Magazine.

A novel aggregate gene selection method for microarray data classification

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

Physical Fatigue Detection Using Entropy Analysis of Heart Rate Signals

Sadiq Hussain, Farnad Nasirzadeh, Abbas Khosravi, 2020 .

A database for using machine learning and data mining techniques for coronary artery disease diagnosis

S. Nahavandi, R. Alizadehsani, M. Roshanzamir, 2019, Scientific Data.

Prediction Intervals for Short-Term Wind Farm Power Generation Forecasts

S. Nahavandi, A. Khosravi, D. Creighton, 2013, IEEE Transactions on Sustainable Energy.

Feature Selection for Interval Forecasting of Electricity Demand Time Series Data

Irena Koprinska, Mashud Rana, Abbas Khosravi, 2015 .

A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals

Saeid Nahavandi, Navid Ghassemi, Afshin Shoeibi, 2021, Expert Syst. Appl..

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.

Prediction Intervals to Account for Uncertainties in Travel Time Prediction

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

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.

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

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

Comparative analysis of three approaches of antecedent part generation for an IT2 TSK FLS

Mojtaba Ahmadieh Khanesar, Abbas Khosravi, Jafreezal Jaafar, 2017, Appl. Soft Comput..

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).

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

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

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.

Cardiovascular diseases risk prediction in patients with diabetes: Posthoc analysis from a matched case-control study in Bangladesh

S. Islam, S. Nahavandi, A. Khosravi, 2021, Journal of Diabetes & Metabolic Disorders.

Coronary artery disease detection using computational intelligence methods

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

A sequential search-space shrinking using CNN transfer learning and a Radon projection pool for medical image retrieval

Saeid Nahavandi, Hamid R. Tizhoosh, Abbas Khosravi, 2018, Expert Syst. Appl..

Parsimonious Evolutionary-based Model Development for Detecting Artery Disease

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

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

A. Khosravi, F. Nasirzadeh, M. Akbari, 2021, Iranian Journal of Science and Technology, Transactions of Civil Engineering.

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

Saeid Nahavandi, Abbas Khosravi, Douglas Creighton, 2014 .

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

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

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

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

EEG data classification using wavelet features selected by Wilcoxon statistics

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

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

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

Neuroevolution-based autonomous robot navigation: A comparative study

Saeid Nahavandi, Abbas Khosravi, Seyed Mohammad Mirjalili, 2020, Cognitive Systems Research.

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).

Evolving Artificial Neural Networks Using Butterfly Optimization Algorithm for Data Classification

Chee Peng Lim, Saeid Nahavandi, Abbas Khosravi, 2019, ICONIP.

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).

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).

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).

Confidence Aware Neural Networks for Skin Cancer Detection pdf

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

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

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

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

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

Combined Nonparametric Prediction Intervals for Wind Power Generation

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

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

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

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..

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.

Artificial bee colony optimization of interval type-2 fuzzy extreme learning system for chaotic data

Abbas Khosravi, Jafreezal Jaafar, Saima Hassan, 2016, 2016 3rd International Conference on Computer and Information Sciences (ICCOINS).

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.

Integrating Simulated Annealing and Delta Technique for Constructing Optimal Prediction Intervals

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

Integration of renewable generation uncertainties into stochastic unit commitment considering reserve and risk: A comparative study

Abbas Khosravi, Dipti Srinivasan, Hao Quan, 2016 .

A computational framework for uncertainty integration in stochastic unit commitment with intermittent renewable energy sources

Abbas Khosravi, Dipti Srinivasan, Hao Quan, 2015 .

A review on computational intelligence methods for controlling traffic signal timing

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

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.

Uncertainty-aware Decisions in Cloud Computing

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

Hybrid genetic‐discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries

Saeid Nahavandi, U. Rajendra Acharya, Roohallah Alizadehsani, 2020, Expert Syst. J. Knowl. Eng..

Model uncertainty quantification for diagnosis of each main coronary artery stenosis

U. Rajendra Acharya, Roohallah Alizadehsani, Abbas Khosravi, 2020, Soft Comput..

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).

Adaptive Motion Cueing Algorithm Using Optimized Fuzzy Control System for Motion Simulators

Shady M. K. Mohamed, S. Nahavandi, A. Khosravi, 2023, IEEE Transactions on Intelligent Vehicles.

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.

Objective evaluation of deep uncertainty predictions for COVID-19 detection pdf

Saeid Nahavandi, Roohallah Alizadehsani, Abbas Khosravi, 2020, Scientific Reports.

Probabilistic Wind Power Forecasting Using Optimized Deep Auto-Regressive Recurrent Neural Networks

P. Suganthan, A. Khosravi, S. Ahmadian, 2023, IEEE Transactions on Industrial Informatics.

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)

A. Khosravi, N. Mohajer, Saeid Nahavandi, 2022, 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Uncertainty-Aware Credit Card Fraud Detection Using Deep Learning pdf

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

Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991-2020

Saeid Nahavandi, Afshin Shoeibi, Roohallah Alizadehsani, 2020, Comput. Biol. Medicine.

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.

Reactive Power Compensation in Electric Arc Furnaces Using Prediction Intervals

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

Prediction granules for uncertainty modelling

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

X-ray image based COVID-19 detection using evolutionary deep learning approach

S. Nahavandi, A. Khosravi, S. Ahmadian, 2022, Expert Systems with Applications.

Uncertainty Aware Neural Network from Similarity and Sensitivity

Shady M. K. Mohamed, Mohammad Reza Chalak Qazani, A. Khosravi, 2023, Applied Soft Computing.

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.

A Review of Deep Learning for Video Captioning

Daniel J. McDuff, Abduallah A. Mohamed, M. Ghavamzadeh, 2023, ArXiv.

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.

Seeded transfer learning for regression problems with deep learning

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

Synthetic Datasets for Numeric Uncertainty Quantification: Proposing Datasets for Future Researchers

Shady M. K. Mohamed, D. Srinivasan, P. Suganthan, 2023, IEEE Systems, Man, and Cybernetics Magazine.

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.

Neural Network Training for Uncertainty Quantification Over Time-Range

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

Optimal Uncertainty-guided Neural Network Training pdf

Saeid Nahavandi, Abbas Khosravi, Dipti Srinivasan, 2019, Appl. Soft Comput..

Uncertainty Quantification Neural Network from Similarity and Sensitivity

Saeid Nahavandi, Darius Nahavandi, Abbas Khosravi, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Novel Uncertainty-Aware Deep Neuroevolution Algorithm to Quantify Tidal Forecasting

Md Kislu Noman, J. Catalão, A. Khosravi, 2022, IEEE Transactions on Industry Applications.

Partial Adversarial Training for Neural Network-Based Uncertainty Quantification

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

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).

Uncertainty-aware skin cancer detection: The element of doubt

S. Nahavandi, A. Khosravi, Pegah Tabarisaadi, 2022, Comput. Biol. Medicine.

Variance-Covariance Based Weighing for Neural Network Ensembles

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

Hybrid neural-evolutionary model for electricity price forecasting

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

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.

Comparison of Deep Learning Techniques on Human Activity Recognition using Ankle Inertial Signals

A. Khosravi, Farhad Nazari, N. Mohajer, 2022, 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Comparison Study of Inertial Sensor Signal Combination for Human Activity Recognition based on Convolutional Neural Networks

S. Nahavandi, A. Khosravi, Farhad Nazari, 2022, 2022 15th International Conference on Human System Interaction (HSI).

EEG signal analysis for BCI application using fuzzy system

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

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..

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.

An expert system for selecting wart treatment method

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

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

A. Khosravi, M. Abdar, Sadiq Hussain, 2021, Arabian Journal for Science and Engineering.

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

Saeid Nahavandi, Roohallah Alizadehsani, Darius Nahavandi, 2021 .

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

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

Low muscle mass, malnutrition, sarcopenia, and associations with survival in adults with cancer in the UK Biobank cohort.

L. Denehy, A. Khosravi, G. Abbott, 2023, Journal of cachexia, sarcopenia and muscle.

A Knowledge Discovery in Motion Sickness: A Comprehensive Literature Review

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

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

S. Nahavandi, A. Khosravi, Farhad Nazari, 2021, ArXiv.

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.

Solar irradiance forecasting using a novel hybrid deep ensemble reinforcement learning algorithm

J. Catalão, A. Khosravi, M. Shafie‐khah, 2022, Sustainable Energy, Grids and Networks.

Epileptic Seizures Detection Using Deep Learning Techniques: A Review pdf

Amir F. Atiya, U. Rajendra Acharya, Navid Ghassemi, 2020, International journal of environmental research and public health.

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.

Control Methods for Internet-Based Teleoperation Systems: A Review

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

Machine learning models to predict outcomes at 30‐days using Global Leadership Initiative on Malnutrition combinations with and without muscle mass in people with cancer

A. Khosravi, N. Kiss, R. Alizadehsani, 2023, Journal of cachexia, sarcopenia and muscle.

The need for a prediction model assessment framework

S. Islam, A. Khosravi, 2021, The Lancet Global Health.

Swarm Intelligence in Internet of Medical Things: A Review

G. Fortino, A. Khosravi, R. Gravina, 2023, Sensors.

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

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

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).

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.

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 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.

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

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

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).

A Cloud Bidding Framework for Deadline Constrained Jobs

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

Binarized multi-gate mixture of Bayesian experts for cardiac syndrome X diagnosis: A clinician-in-the-loop scenario with a belief-uncertainty fusion paradigm

L. Rundo, N. Sarrafzadegan, E. Sala, 2023, Inf. Fusion.

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).

Forecasting Bike Sharing Demand Using Fuzzy Inference Mechanism

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

Adaptive Neural Network-based Perception and Awareness of Teleoperation Systems in Human-Machine Interactions

Saeid Nahavandi, Fernando Bello, Darius Nahavandi, 2020, 2020 IEEE International Conference on Human-Machine Systems (ICHMS).

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

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

An intelligent θ-Modified Bat Algorithm to solve the non-convex economic dispatch problem considering practical constraints

Abbas Khosravi, Abdollah Kavousi-Fard, A. Khosravi, 2016 .

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).

Comparing the performance of different types of distributed fuzzy-based traffic signal controllers

Abbas Khosravi, Sahar Araghi, Douglas Creighton, 2019, J. Intell. Fuzzy Syst..

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

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

Improving the Quality of Prediction Intervals Through Optimal Aggregation

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

ALEC: Active learning with ensemble of classifiers for clinical diagnosis of coronary artery disease

M. Tartibi, A. Khosravi, Ruyan Tan, 2023, Comput. Biol. Medicine.

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.

Quantifying uncertainties of neural network-based electricity price forecasts

Saeid Nahavandi, Abbas Khosravi, Doug Creighton, 2013 .

Automated detection of shockable ECG signals: A review

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

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).

New Hybrid Deep Neural Architectural Search-Based Ensemble Reinforcement Learning Strategy for Wind Power Forecasting

Vasco A. Campos, J. Catalão, A. Khosravi, 2022, IEEE Transactions on Industry Applications.

Robust Adaptive Control Scheme for Teleoperation Systems With Delay and Uncertainties

Saeid Nahavandi, Roohallah Alizadehsani, Abbas Khosravi, 2020, IEEE Transactions on Cybernetics.

Material recognition for construction quality monitoring using deep learning methods

A. Khosravi, Sadiq Hussain, F. Nasirzadeh, 2023, Construction Innovation.

Uncertainty quantification for wind farm power generation

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

SFE: A Simple, Fast, and Efficient Feature Selection Algorithm for High-Dimensional Data

P. Suganthan, A. Khosravi, M. Menhaj, 2023, IEEE Transactions on Evolutionary Computation.

An optimized mean variance estimation method for uncertainty quantification of wind power forecasts

Saeid Nahavandi, Abbas Khosravi, S. Nahavandi, 2014 .

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).

Factors Associated With Mortality in Hospitalized Cardiovascular Disease Patients Infected With COVID-19

N. Sarrafzadegan, S. Nahavandi, A. Khosravi, 2021, SSRN Electronic Journal.

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.

Uncertainty handling using neural network-based prediction intervals for electrical load forecasting

Abbas Khosravi, Dipti Srinivasan, Hao Quan, 2014 .

Toward domain adaptation with open-set target data: Review of theory and computer vision applications

L. Rutkowski, H. Danyali, M. Helfroush, 2023, Inf. Fusion.

Bayesian Randomly Wired Neural Network with Variational Inference for Image Recognition

Saeid Nahavandi, Abbas Khosravi, Pegah Tabarisaadi, 2020, ICONIP.

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).

Extreme learning machine based transfer learning algorithms: A survey

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

Examining performance of aggregation algorithms for neural network-based electricity demand forecasting

Abbas Khosravi, Jafreezal Jaafar, Saima Hassan, 2015 .

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.

Wind farm power uncertainty quantification using a mean-variance estimation method

S. Nahavandi, J. Jaafar, A. Khosravi, 2012, 2012 IEEE International Conference on Power System Technology (POWERCON).

Comparison of gait phase detection using traditional machine learning and deep learning techniques

A. Khosravi, Farhad Nazari, N. Mohajer, 2022, 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

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

P. Vamplew, A. Stranieri, S. Nahavandi, 2015, Neural computing & applications (Print).

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.

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.

Multi-objective probabilistic distribution feeder reconfiguration considering wind power plants

Taher Niknam, Abbas Khosravi, Abdollah Kavousi-Fard, 2014 .

A heterogeneous defense method using fuzzy decision making

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

A weight perturbation-based regularisation technique for convolutional neural networks and the application in medical imaging

Chee Peng Lim, Saeid Nahavandi, Abbas Khosravi, 2020, Expert Syst. Appl..

CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 Diagnosis

Shady M. K. Mohamed, Mohammad Reza Chalak Qazani, A. Khosravi, 2022, 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing

A. Khosravi, U. Aickelin, Saeid Nahavandi, 2023, ArXiv.

Modification on enhanced Karnik-Mendel algorithm

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

Load Forecasting Accuracy through Combination of Trimmed Forecasts

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

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).

A systematic design of interval type-2 fuzzy logic system using extreme learning machine for electricity load demand forecasting

Mojtaba Ahmadieh Khanesar, Abbas Khosravi, Jafreezal Jaafar, 2016 .

Applied Exoskeleton Technology: A Comprehensive Review of Physical and Cognitive Human–Robot Interaction

S. Nahavandi, A. Khosravi, Farhad Nazari, 2021, IEEE Transactions on Cognitive and Developmental Systems.

Effectiveness of evolutionary algorithms for optimization of heat exchangers

Saeid Nahavandi, Hassan Hajabdollahi, Abbas Khosravi, 2015 .

Applied Exoskeleton Technology: A Comprehensive Review of Physical and Cognitive Human-Robot-Interface

A. Khosravi, Farhad Nazari, N. Mohajer, 2022 .

Robust Collaboration of a Haptically-Enabled Double-Slave Teleoperation System under Random Communication Delays

Saeid Nahavandi, Fernando Bello, Darius Nahavandi, 2020, 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Deep Imitation Learning: The Impact of Depth on Policy Performance

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

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).

Parallel deep solutions for image retrieval from imbalanced medical imaging archives

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

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).

Integration of Deep Sparse Autoencoder and Particle Swarm Optimization to Develop a Recommender System

S. Nahavandi, A. Khosravi, S. Ahmadian, 2021, IEEE International Conference on Systems, Man and Cybernetics.

Uncertainty Quantification for the Required Fossil Fuel Generation in a Smart Grid

Saeid Nahavandi, Mohammad Anwar Hosen, Md Shihanur Rahman, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Improving the Quality of Load Forecasts Using Smart Meter Data

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

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).

ANN-based prediction intervals to forecast labour productivity

Farnad Nasirzadeh, Saeid Nahavandi, David G. Carmichael, 2020, Engineering, Construction and Architectural Management.

A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges

A. Khosravi, Saeid Nahavandi, P. Kebria, 2023, ArXiv.

Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review

U. Acharya, J. Górriz, A. Khosravi, 2023, Comput. Biol. Medicine.

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.

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.

A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

M. Ghavamzadeh, P. Fieguth, Xiaochun Cao, 2020, Inf. Fusion.

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

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

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

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

Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review

S. Nahavandi, A. Khosravi, Peng Shi, 2020, Neurocomputing.

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

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

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).

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

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

A new genetic fuzzy system approach for parameter estimation of ARIMA model

Abbas Khosravi, Jafreezal Jaafar, Saima Hassan, 2012 .

Medical image analysis using wavelet transform and deep belief networks

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

Automatic facial expression recognition in an image sequence using conditional random field

A. Khosravi, R. Alizadehsani, A. Shoeibi, 2022, 2022 IEEE 22nd International Symposium on Computational Intelligence and Informatics and 8th IEEE International Conference on Recent Achievements in Mechatronics, Automation, Computer Science and Robotics (CINTI-MACRo).

Expert Systems With Applications

S. Nahavandi, A. Khosravi, S. Ahmadian, 2022 .

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

Saeid Nahavandi, Abbas Khosravi, Doug Creighton, 2013 .

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).

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).

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).

NN-based Prediction Interval for Nonlinear Processes Controller

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

Wind power forecasting using emotional neural networks

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

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).

Prediction Interval Construction and Optimization for Adaptive Neurofuzzy Inference Systems

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

Construction of Optimal Prediction Intervals for Load Forecasting Problems

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