Abbas Khosravi

According to our database1, Abbas Khosravi authored at least 198 papers between 2007 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals.
Expert Syst. Appl., 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

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

A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges.
CoRR, 2020

Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020).
CoRR, 2020

An Uncertainty-aware Transfer Learning-based Framework for Covid-19 Diagnosis.
CoRR, 2020

Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review.
CoRR, 2020

SpinalNet: Deep Neural Network with Gradual Input.
CoRR, 2020

Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review.
CoRR, 2020

Epileptic seizure detection using deep learning techniques: A Review.
CoRR, 2020

Material Recognition for Automated Progress Monitoring using Deep Learning Methods.
CoRR, 2020

Neuroevolution-based autonomous robot navigation: A comparative study.
Cogn. Syst. Res., 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

Uncertainty Quantification Neural Network from Similarity and Sensitivity.
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

Neural Network Training Using a Biogeography-Based Learning Strategy.
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

Control Methods for Internet-Based Teleoperation Systems: A Review.
IEEE Trans. Hum. Mach. Syst., 2019

Comparing the performance of different types of distributed fuzzy-based traffic signal controllers.
J. Intell. Fuzzy Syst., 2019

Seeded transfer learning for regression problems with deep learning.
Expert Syst. Appl., 2019

Optimal Uncertainty-guided Neural Network Training.
CoRR, 2019

Machine learning-based coronary artery disease diagnosis: A comprehensive review.
Comput. Biol. Medicine, 2019

A Knowledge Discovery in Motion Sickness: A Comprehensive Literature Review.
IEEE Access, 2019

Integration of Ensemble and Evolutionary Machine Learning Algorithms for Monitoring Diver Behavior Using Physiological Signals.
IEEE Access, 2019

A GA-Based Pruning Fully Connected Network for Tuned Connections in Deep Networks.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Generalized Noise Patterns for (N+1)/N-factor Non-linear Down-sampling.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Optimal Autonomous Driving Through Deep Imitation Learning and Neuroevolution.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

An efficient Neuroevolution Approach for Heart Disease Detection.
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

Drivers Awareness Evaluation using Physiological Measurement in a Driving Simulator.
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

A Cloud Bidding Framework for Deadline Constrained Jobs.
Proceedings of the IEEE International Conference on Industrial Technology, 2019

Probability Density for Amazon Spot Instance Price.
Proceedings of the IEEE International Conference on Industrial Technology, 2019

Parsimonious Evolutionary-based Model Development for Detecting Artery Disease.
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

Probability Density Computation Neural Network for Time Series Data.
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

Partial Adversarial Training for Prediction Interval.
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

Deep Imitation Learning: The Impact of Depth on Policy Performance.
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
Reactive Power Compensation in Electric Arc Furnaces Using Prediction Intervals.
IEEE Trans. Ind. Electron., 2017

Extreme learning machine based transfer learning algorithms: A survey.
Neurocomputing, 2017

A new PSO-based approach to fire flame detection using K-Medoids clustering.
Expert Syst. Appl., 2017

Medical image analysis using wavelet transform and deep belief networks.
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

An expert system for selecting wart treatment method.
Comput. Biol. Medicine, 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

A heterogeneous defense method using fuzzy decision making.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Multiclass EEG data classification using fuzzy systems.
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

Lung cancer classification using deep learned features on low population dataset.
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017

A deep-structural medical image classification for a Radon-based image retrieval.
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017

Prediction interval with examples of similar pattern and prediction strength.
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

Prediction interval-based controller for Chemical Reactor.
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017

2016
Coronary artery disease detection using computational intelligence methods.
Knowl. Based Syst., 2016

Modification on enhanced Karnik-Mendel algorithm.
Expert Syst. Appl., 2016

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

RNA-seq data analysis using nonparametric Gaussian process models.
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

Prediction interval-based ANFIS controller for nonlinear processes.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Wind ramp event prediction with parallelized gradient boosted regression trees.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A Wavelet Deep Belief Network-Based Classifier for Medical Images.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Prediction granules for uncertainty modelling.
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

Improving the Quality of Prediction Intervals Through Optimal Aggregation.
IEEE Trans. Ind. Electron., 2015

Fuzzy Portfolio Allocation Models Through a New Risk Measure and Fuzzy Sharpe Ratio.
IEEE Trans. Fuzzy Syst., 2015

A novel aggregate gene selection method for microarray data classification.
Pattern Recognit. Lett., 2015

Patient admission prediction using a pruned fuzzy min-max neural network with rule extraction.
Neural Comput. Appl., 2015

EEG data classification using wavelet features selected by Wilcoxon statistics.
Neural Comput. Appl., 2015

Hidden Markov models for cancer classification using gene expression profiles.
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

Classification of healthcare data using genetic fuzzy logic system and wavelets.
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

Fuzzy system with tabu search learning for classification of motor imagery data.
Biomed. Signal Process. Control., 2015

Medical data classification using interval type-2 fuzzy logic system and wavelets.
Appl. Soft Comput., 2015

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

Improving load forecast accuracy by clustering consumers using smart meter data.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

EEG signal analysis for BCI application using fuzzy system.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

An efficient hybrid algorithm for fire flame detection.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Prediction interval-based neural network controller for nonlinear processes.
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

Improving the Quality of Load Forecasts Using Smart Meter Data.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Forecasting Bike Sharing Demand Using Fuzzy Inference Mechanism.
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

Prediction Interval-Based Control of Nonlinear Systems Using Neural Networks.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Hybrid Model for the Training of Interval Type-2 Fuzzy Logic System.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

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

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

Linear approximation of Karnik-Mendel type reduction algorithm.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

Effect of different initializations on EKM algorithm.
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

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

Effects of type reduction algorithms on forecasting accuracy of IT2FLS models.
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

Solving fuzzy programming with a consistent fuzzy number ranking.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Classification of neural action potentials using mean shift clustering.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Wind power forecasting using emotional neural networks.
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

Optimal fuzzy traffic signal controller for an isolated intersection.
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

Aggregation of Pi-based forecast to enhance prediction accuracy.
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

ANFIS Traffic Signal Controller for an Isolated Intersection.
Proceedings of the FCTA 2014 - Proceedings of the International Conference on Fuzzy Computation Theory and Applications, part of IJCCI 2014, Rome, Italy, 22, 2014

Application of Cuckoo Search for Design Optimization of Heat Exchangers.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Medical diagnosis by fuzzy standard additive model with wavelets.
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

Path Planning for CNC Machines Considering Centripetal Acceleration and Jerk.
Proceedings of the IEEE International Conference on Systems, 2013

Artificial Neural Network Analysis of Twin Tunnelling-Induced Ground Settlements.
Proceedings of the IEEE International Conference on Systems, 2013

A New Approach Based on Support Vector Machine for Solving Stochastic Optimization.
Proceedings of the IEEE International Conference on Systems, 2013

Control of Polystyrene Batch Reactor Using Fuzzy Logic Controller.
Proceedings of the IEEE International Conference on Systems, 2013

Variance-Covariance Based Weighing for Neural Network Ensembles.
Proceedings of the IEEE International Conference on Systems, 2013

Bayesian Model Averaging of Load Demand Forecasts from Neural Network Models.
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

Prediction intervals for electricity load forecasting using neural networks.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Epidemiological dynamics modeling by fusion of soft computing techniques.
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

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

Uncertainty quantification for wind farm power generation.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Load Forecasting Accuracy through Combination of Trimmed Forecasts.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Prediction interval construction using interval type-2 Fuzzy Logic systems.
Proceedings of the FUZZ-IEEE 2012, 2012

2011
Comprehensive Review of Neural Network-Based Prediction Intervals and New Advances.
IEEE Trans. Neural Networks, 2011

Lower Upper Bound Estimation Method for Construction of Neural Network-Based Prediction Intervals.
IEEE Trans. Neural Networks, 2011

Prediction Intervals to Account for Uncertainties in Travel Time Prediction.
IEEE Trans. Intell. Transp. Syst., 2011

Prediction Interval Construction and Optimization for Adaptive Neurofuzzy Inference Systems.
IEEE Trans. Fuzzy Syst., 2011

Hybrid neural-evolutionary model for electricity price forecasting.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Optimizing the quality of bootstrap-based prediction intervals.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Short term load forecasting using Interval Type-2 Fuzzy Logic Systems.
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
Developing optimal neural network metamodels based on prediction intervals.
Proceedings of the International Joint Conference on Neural Networks, 2009

Constructing prediction intervals for neural network metamodels of complex systems.
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
Classification of Voltage Sags Based on MPCA Models.
Proceedings of the Pattern Recognition and Image Analysis, Third Iberian Conference, 2007

An Interval Intelligent-based Approach for Fault Detection and Modelling.
Proceedings of the FUZZ-IEEE 2007, 2007

Skew-Tree Based Multistage Fuzzy Controller for Nonlinear Systems.
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

A Hybrid Method for Fault Detection and Modelling using Modal Intervals and ANFIS.
Proceedings of the American Control Conference, 2007


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