Abbas Khosravi
Orcid: 0000-0001-6927-0744
According to our database1,
Abbas Khosravi
authored at least 281 papers
between 2007 and 2024.
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Bibliography
2024
Improved binary differential evolution with dimensionality reduction mechanism and binary stochastic search for feature selection.
Appl. Soft Comput., January, 2024
2023
SFE: A Simple, Fast, and Efficient Feature Selection Algorithm for High-Dimensional Data.
IEEE Trans. Evol. Comput., December, 2023
Toward domain adaptation with open-set target data: Review of theory and computer vision applications.
Inf. Fusion, December, 2023
IEEE Trans. Artif. Intell., October, 2023
Applied Exoskeleton Technology: A Comprehensive Review of Physical and Cognitive Human-Robot Interaction.
IEEE Trans. Cogn. Dev. Syst., September, 2023
Binarized multi-gate mixture of Bayesian experts for cardiac syndrome X diagnosis: A clinician-in-the-loop scenario with a belief-uncertainty fusion paradigm.
Inf. Fusion, September, 2023
Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review.
Comput. Biol. Medicine, June, 2023
Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review.
Inf. Fusion, May, 2023
ALEC: Active learning with ensemble of classifiers for clinical diagnosis of coronary artery disease.
Comput. Biol. Medicine, May, 2023
Probabilistic Wind Power Forecasting Using Optimized Deep Auto-Regressive Recurrent Neural Networks.
IEEE Trans. Ind. Informatics, March, 2023
Oper. Res. Forum, March, 2023
Adaptive Motion Cueing Algorithm Using Optimized Fuzzy Control System for Motion Simulators.
IEEE Trans. Intell. Veh., January, 2023
Hercules: Deep Hierarchical Attentive Multilevel Fusion Model With Uncertainty Quantification for Medical Image Classification.
IEEE Trans. Ind. Informatics, 2023
UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection.
Inf. Fusion, 2023
An intelligent driven deep residual learning framework for brain tumor classification using MRI images.
Expert Syst. Appl., 2023
Eng. Appl. Artif. Intell., 2023
Leveraging Optimal Transport for Enhanced Offline Reinforcement Learning in Surgical Robotic Environments.
CoRR, 2023
CoRR, 2023
Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing.
CoRR, 2023
Proceedings of the Dynamics of Information Systems - 6th International Conference, 2023
2022
IEEE Trans. Syst. Man Cybern. Syst., 2022
Effective Management of Energy Internet in Renewable Hybrid Microgrids: A Secured Data Driven Resilient Architecture.
IEEE Trans. Ind. Informatics, 2022
Remodelling State-Space Prediction With Deep Neural Networks for Probabilistic Load Forecasting.
IEEE Trans. Emerg. Top. Comput. Intell., 2022
Uncertainty-Aware Management of Smart Grids Using Cloud-Based LSTM-Prediction Interval.
IEEE Trans. Cybern., 2022
MCUa: Multi-Level Context and Uncertainty Aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification.
IEEE Trans. Biomed. Eng., 2022
Expert Syst. Appl., 2022
Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries.
Expert Syst. J. Knowl. Eng., 2022
ACM Comput. Surv., 2022
Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence.
CoRR, 2022
Automatic Autism Spectrum Disorder Detection Using Artificial Intelligence Methods with MRI Neuroimaging: A Review.
CoRR, 2022
Automatic Diagnosis of Schizophrenia and Attention Deficit Hyperactivity Disorder in rs-fMRI Modality using Convolutional Autoencoder Model and Interval Type-2 Fuzzy Regression.
CoRR, 2022
DoubleU-Net++: Architecture with Exploit Multiscale Features for Vertebrae Segmentation.
CoRR, 2022
Application of artificial intelligence in wearable devices: Opportunities and challenges.
Comput. Methods Programs Biomed., 2022
Comput. Biol. Medicine, 2022
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works.
Comput. Biol. Medicine, 2022
Comput. Biol. Medicine, 2022
Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies.
Biomed. Signal Process. Control., 2022
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).
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022
Comparison of Deep Learning Techniques on Human Activity Recognition using Ankle Inertial Signals.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022
Comparison of gait phase detection using traditional machine learning and deep learning techniques.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022
CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 Diagnosis.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022
Comparison Study of Inertial Sensor Signal Combination for Human Activity Recognition based on Convolutional Neural Networks.
Proceedings of the 15th International Conference on Human System Interaction, 2022
2021
Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data.
ACM Trans. Multim. Comput. Commun. Appl., 2021
IEEE Trans. Neural Networks Learn. Syst., 2021
A Novel Evolutionary-Based Deep Convolutional Neural Network Model for Intelligent Load Forecasting.
IEEE Trans. Ind. Informatics, 2021
IEEE Trans. Emerg. Top. Comput. Intell., 2021
IEEE Trans. Emerg. Top. Comput. Intell., 2021
IEEE Robotics Autom. Lett., 2021
A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs.
Knowl. Based Syst., 2021
BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification.
Inf. Sci., 2021
A review of uncertainty quantification in deep learning: Techniques, applications and challenges.
Inf. Fusion, 2021
A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals.
Expert Syst. Appl., 2021
Critical Review of Exoskeleton Technology: State of the art and development of physical and cognitive human-robot interface.
CoRR, 2021
Improving MC-Dropout Uncertainty Estimates with Calibration Error-based Optimization.
CoRR, 2021
What happens in Face during a facial expression? Using data mining techniques to analyze facial expression motion vectors.
CoRR, 2021
An Uncertainty-Aware Deep Learning Framework for Defect Detection in Casting Products.
CoRR, 2021
Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works.
CoRR, 2021
UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion with Ensemble Monte Carlo Dropout for COVID-19 Detection.
CoRR, 2021
Time Series Forecasting of New Cases and New Deaths Rate for COVID-19 using Deep Learning Methods.
CoRR, 2021
CNN AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID 19 patients.
CoRR, 2021
Uncertainty-Aware Semi-supervised Method using Large Unlabelled and Limited Labeled COVID-19 Data.
CoRR, 2021
Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review.
Comput. Biol. Medicine, 2021
Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991-2020.
Comput. Biol. Medicine, 2021
A novel deep neuroevolution-based image classification method to diagnose coronavirus disease (COVID-19).
Comput. Biol. Medicine, 2021
Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning.
Comput. Biol. Medicine, 2021
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images.
Biomed. Signal Process. Control., 2021
An oppositional-Cauchy based GSK evolutionary algorithm with a novel deep ensemble reinforcement learning strategy for COVID-19 diagnosis.
Appl. Soft Comput., 2021
Machine Learning based Prediction of Situational Awareness in Pilots using ECG Signals.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Deep Representation Learning using Multilayer Perceptron and Stacked Autoencoder for Recommendation Systems.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Integration of Deep Sparse Autoencoder and Particle Swarm Optimization to Develop a Recommender System.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2021
2020
A Survey of Computational Intelligence Techniques for Wind Power Uncertainty Quantification in Smart Grids.
IEEE Trans. Neural Networks Learn. Syst., 2020
Adaptive Type-2 Fuzzy Neural-Network Control for Teleoperation Systems With Delay and Uncertainties.
IEEE Trans. Fuzzy Syst., 2020
Robust Adaptive Control Scheme for Teleoperation Systems With Delay and Uncertainties.
IEEE Trans. Cybern., 2020
Model uncertainty quantification for diagnosis of each main coronary artery stenosis.
Soft Comput., 2020
Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals.
Sensors, 2020
J. Intell. Fuzzy Syst., 2020
Deep imitation learning for autonomous vehicles based on convolutional neural networks.
IEEE CAA J. Autom. Sinica, 2020
A weight perturbation-based regularisation technique for convolutional neural networks and the application in medical imaging.
Expert Syst. Appl., 2020
CoRR, 2020
Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020).
CoRR, 2020
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review.
CoRR, 2020
Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review.
CoRR, 2020
CoRR, 2020
Cogn. Syst. Res., 2020
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Robust Collaboration of a Haptically-Enabled Double-Slave Teleoperation System under Random Communication Delays.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Neural Network Control of Teleoperation Systems with Delay and Uncertainties based on Multilayer Perceptron Estimations.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Bayesian Randomly Wired Neural Network with Variational Inference for Image Recognition.
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Adaptive Neural Network-based Perception and Awareness of Teleoperation Systems in Human-Machine Interactions.
Proceedings of the IEEE International Conference on Human-Machine Systems, 2020
2019
A Predictive KH-Based Model to Enhance the Performance of Industrial Electric Arc Furnaces.
IEEE Trans. Ind. Electron., 2019
IEEE Trans. Hum. Mach. Syst., 2019
Comparing the performance of different types of distributed fuzzy-based traffic signal controllers.
J. Intell. Fuzzy Syst., 2019
Expert Syst. Appl., 2019
Comput. Biol. Medicine, 2019
IEEE Access, 2019
Integration of Ensemble and Evolutionary Machine Learning Algorithms for Monitoring Diver Behavior Using Physiological Signals.
IEEE Access, 2019
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Autonomous Robot Navigation System Using the Evolutionary Multi-Verse optimizer Algorithm.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
A Model Predictive Control-based Motion Cueing Algorithm using an optimized Nonlinear Scaling for Driving Simulators.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Performance Comparison of Type-1 and Type-2 Neuro-Fuzzy Controllers for a Flexible Joint Manipulator.
Proceedings of the Neural Information Processing - 26th International Conference, 2019
Evolving Artificial Neural Networks Using Butterfly Optimization Algorithm for Data Classification.
Proceedings of the Neural Information Processing - 26th International Conference, 2019
Proceedings of the IEEE International Conference on Industrial Technology, 2019
Robust Adaptive Control of Internet-based Bilateral Teleoperation Systems with Time-Varying Delay and Model Uncertainties.
Proceedings of the IEEE International Conference on Industrial Technology, 2019
Experimental Comparison Study on Joint and Cartesian Space Control Schemes for a Teleoperation System Under Time-Varying Delay.
Proceedings of the IEEE International Conference on Industrial Technology, 2019
Robust Adaptive Synchronisation of a Single-Master Multi-Slave Teleoperation System over Delayed Communication.
Proceedings of the IEEE International Conference on Industrial Technology, 2019
Evaluating Architecture Impacts on Deep Imitation Learning Performance for Autonomous Driving.
Proceedings of the IEEE International Conference on Industrial Technology, 2019
Proceedings of the IEEE International Conference on Industrial Technology, 2019
Proceedings of the IEEE International Conference on Industrial Technology, 2019
Proceedings of the IEEE International Conference on Industrial Technology, 2019
Designing an H_infinity Fuzzy LMI-Based Consensus Protocol for Nonlinear Multi-agent Systems.
Proceedings of the 2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 2019
Proceedings of the 2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 2019
Type-2 Fuzzy Neural Network Synchronization of Teleoperation Systems with Delay and Uncertainties.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019
Adaptive Type-2 Fuzzy Control Scheme for Robust Teleoperation under Time-Varying Delay and Uncertainties.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019
2018
Optimal parameters of an ELM-based interval type 2 fuzzy logic system: a hybrid learning algorithm.
Neural Comput. Appl., 2018
A sequential search-space shrinking using CNN transfer learning and a Radon projection pool for medical image retrieval.
Expert Syst. Appl., 2018
Non-invasive detection of coronary artery disease in high-risk patients based on the stenosis prediction of separate coronary arteries.
Comput. Methods Programs Biomed., 2018
Multiclass Informative Instance Transfer Learning Framework for Motor Imagery-Based Brain-Computer Interface.
Comput. Intell. Neurosci., 2018
Parallel deep solutions for image retrieval from imbalanced medical imaging archives.
Appl. Soft Comput., 2018
Neural Network-Based Uncertainty Quantification: A Survey of Methodologies and Applications.
IEEE Access, 2018
Semi-Supervised Transfer Learning with Genetic Algorithm Tuned Transformation and Novel Label Transfer Mechanism.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
Calibration Time Reduction Using Subjective Features Selection Based Transfer Learning For Multiclass BCI.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Weighted Autocorrelation based Prediction Interval Optimization for Wind Power Generation.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Percentile range around the mean of center distance based informative transfer for motor imagery Brain-Computer Interface.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Drivers Performance Evaluation using Physiological Measurement in a Driving Simulator.
Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018
Neural Network Adaptive Control of Teleoperation Systems with Uncertainties and Time-Varying Delay.
Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018
2017
IEEE Trans. Ind. Electron., 2017
Neurocomputing, 2017
Expert Syst. Appl., 2017
Expert Syst. Appl., 2017
Influence of meta-heuristic optimization on the performance of adaptive interval type2-fuzzy traffic signal controllers.
Expert Syst. Appl., 2017
Output uncertainty score for decision making processes using interval type-2 fuzzy systems.
Eng. Appl. Artif. Intell., 2017
Comparative analysis of three approaches of antecedent part generation for an IT2 TSK FLS.
Appl. Soft Comput., 2017
Informative instance transfer learning with subject specific frequency responses for motor imagery brain computer interface.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017
A Deep Learning-Based Model for Tactile Understanding on Haptic Data Percutaneous Needle Treatment.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
A Haptics Feedback Based-LSTM Predictive Model for Pericardiocentesis Therapy Using Public Introperative Data.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
A Swarm Optimization-Based Kmedoids Clustering Technique for Extracting Melanoma Cancer Features.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
Facial emotion recognition using emotional neural network and hybrid of fuzzy c-means and genetic algorithm.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
Hybrid multi-objective forecasting of solar photovoltaic output using Kalman filter based interval type-2 fuzzy logic system.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017
Weighted informative inverse active class selection for motor imagery brain computer interface.
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017
2016
Knowl. Based Syst., 2016
Appl. Soft Comput., 2016
A multi-objective genetic type-2 fuzzy extreme learning system for the identification of nonlinear dynamic systems.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016
A Particle Swarm Optimization-based washout filter for improving simulator motion fidelity.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Nonlinear programming problem solving based on winner take all emotional neural network for tensegrity structure design.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Active transfer learning and selective instance transfer with active learning for motor imagery based BCI.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
2015
Incorporating Wind Power Forecast Uncertainties Into Stochastic Unit Commitment Using Neural Network-Based Prediction Intervals.
IEEE Trans. Neural Networks Learn. Syst., 2015
Constructing Optimal Prediction Intervals by Using Neural Networks and Bootstrap Method.
IEEE Trans. Neural Networks Learn. Syst., 2015
Prediction Interval Estimation of Electricity Prices Using PSO-Tuned Support Vector Machines.
IEEE Trans. Ind. Informatics, 2015
IEEE Trans. Ind. Electron., 2015
IEEE Trans. Fuzzy Syst., 2015
Pattern Recognit. Lett., 2015
Patient admission prediction using a pruned fuzzy min-max neural network with rule extraction.
Neural Comput. Appl., 2015
Neural Comput. Appl., 2015
Inf. Sci., 2015
Multi-Output Interval Type-2 Fuzzy Logic System for Protein Secondary Structure Prediction.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2015
Automatic spike sorting by unsupervised clustering with diffusion maps and silhouettes.
Neurocomputing, 2015
Approximation of centroid end-points and switch points for replacing type reduction algorithms.
Int. J. Approx. Reason., 2015
EEG signal classification for BCI applications by wavelets and interval type-2 fuzzy logic systems.
Expert Syst. Appl., 2015
Expert Syst. Appl., 2015
Intelligent cuckoo search optimized traffic signal controllers for multi-intersection network.
Expert Syst. Appl., 2015
A review on computational intelligence methods for controlling traffic signal timing.
Expert Syst. Appl., 2015
Biomed. Signal Process. Control., 2015
Appl. Soft Comput., 2015
Proceedings of the 2015 IEEE International Conference on Systems, 2015
Design of an Optimal ANFIS Traffic Signal Controller by Using Cuckoo Search for an Isolated Intersection.
Proceedings of the 2015 IEEE International Conference on Systems, 2015
Prediction interval estimation for wind farm power generation forecasts using support vector machines.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Training of interval type-2 fuzzy logic system using extreme learning machine for load forecasting.
Proceedings of the 9th International Conference on Ubiquitous Information Management and Communication, 2015
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
Hybrid Controller with the Combination of FLC and Neural Network-Based IMC for Nonlinear Processes.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
Design of Distributed Adaptive Neural Traffic Signal Timing Controller by Cuckoo Search Optimization.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
Switch point finding using polynomial regression for fuzzy type reduction algorithms.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
Mass spectrometry-based proteomic data for cancer diagnosis using interval type-2 fuzzy system.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
2014
Short-Term Load and Wind Power Forecasting Using Neural Network-Based Prediction Intervals.
IEEE Trans. Neural Networks Learn. Syst., 2014
IEEE Trans. Ind. Informatics, 2014
Particle swarm optimization for construction of neural network-based prediction intervals.
Neurocomputing, 2014
An interval type-2 fuzzy logic system-based method for prediction interval construction.
Appl. Soft Comput., 2014
Appl. Soft Comput., 2014
Electricity load and price forecasting with influential factors in a deregulated power industry.
Proceedings of the 9th International Conference on System of Systems Engineering, 2014
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014
Assessing performance of genetic and firefly algorithms for optimal design of heat exchangers.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014
Prediction interval estimation for electricity price and demand using support vector machines.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Neural signal analysis by landmark-based spectral clustering with estimated number of clusters.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
A novel fuzzy multi-objective framework to construct optimal prediction intervals for wind power forecast.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Optimal design of traffic signal controller using neural networks and fuzzy logic systems.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the FCTA 2014 - Proceedings of the International Conference on Fuzzy Computation Theory and Applications, part of IJCCI 2014, Rome, Italy, 22, 2014
Proceedings of the Neural Information Processing - 21st International Conference, 2014
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
Structural classification of proteins through amino acid sequence using interval type-2 fuzzy logic system.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
2013
A novel modular Q-learning architecture to improve performance under incomplete learning in a grid soccer game.
Eng. Appl. Artif. Intell., 2013
Proceedings of the IEEE International Conference on Systems, 2013
Proceedings of the IEEE International Conference on Systems, 2013
Proceedings of the IEEE International Conference on Systems, 2013
Proceedings of the IEEE International Conference on Systems, 2013
Proceedings of the IEEE International Conference on Systems, 2013
Proceedings of the IEEE International Conference on Systems, 2013
Intelligent Traffic Light Control of Isolated Intersections Using Machine Learning Methods.
Proceedings of the IEEE International Conference on Systems, 2013
Q-learning method for controlling traffic signal phase time in a single intersection.
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Feature Selection for Neural Network-Based Interval Forecasting of Electricity Demand Data.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013
Proceedings of the FUZZ-IEEE 2013, 2013
A new neural network-based type reduction algorithm for interval type-2 fuzzy logic systems.
Proceedings of the FUZZ-IEEE 2013, 2013
Evaluation and comparison of type reduction algorithms from a forecast accuracy perspective.
Proceedings of the FUZZ-IEEE 2013, 2013
Construction of neural network-based prediction intervals for short-term electrical load forecasting.
Proceedings of the IEEE Symposium on Computational Intelligence Applications in Smart Grid, 2013
2012
Construction of neural network-based prediction intervals using particle swarm optimization.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the Neural Information Processing - 19th International Conference, 2012
Proceedings of the FUZZ-IEEE 2012, 2012
2011
IEEE Trans. Neural Networks, 2011
Lower Upper Bound Estimation Method for Construction of Neural Network-Based Prediction Intervals.
IEEE Trans. Neural Networks, 2011
IEEE Trans. Intell. Transp. Syst., 2011
Prediction Interval Construction and Optimization for Adaptive Neurofuzzy Inference Systems.
IEEE Trans. Fuzzy Syst., 2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Proceedings of the FUZZ-IEEE 2011, 2011
2010
A prediction interval-based approach to determine optimal structures of neural network metamodels.
Expert Syst. Appl., 2010
Developing a Robust Prediction Interval Based Criterion for Neural Network Model Selection.
Proceedings of the Neural Information Processing. Models and Applications, 2010
Predicting amount of saleable products using neural network metamodels of casthouses.
Proceedings of the 11th International Conference on Control, 2010
2009
Proceedings of the International Joint Conference on Neural Networks, 2009
Proceedings of the International Joint Conference on Neural Networks, 2009
Improving Prediction Interval Quality: A Genetic Algorithm-Based Method Applied to Neural Networks.
Proceedings of the Neural Information Processing, 16th International Conference, 2009
Integrating Simulated Annealing and Delta Technique for Constructing Optimal Prediction Intervals.
Proceedings of the Neural Information Processing, 16th International Conference, 2009
2008
Multiway Principal Component Analysis (MPCA) for Upstream/Downstream Classification of Voltage Sags Gathered in Distribution Substations.
Proceedings of the Advances of Computational Intelligence in Industrial Systems, 2008
2007
Proceedings of the Pattern Recognition and Image Analysis, Third Iberian Conference, 2007
Proceedings of the FUZZ-IEEE 2007, 2007
Proceedings of the New Dimensions in Fuzzy Logic and Related Technologies. Proceedings of the 5th EUSFLAT Conference, 2007
A New Preprocessing Approach to Preparation of Binary Patterns for FAM Neural Networks.
Proceedings of the New Dimensions in Fuzzy Logic and Related Technologies. Proceedings of the 5th EUSFLAT Conference, 2007
Integrating a Feature Selection Algorithm for Classification of Voltage Sags Originated in Transmission and Distribution Networks.
Proceedings of the Artificial Intelligence Research and Development, 2007
Proceedings of the American Control Conference, 2007