D. Creighton

发表

Image fusion performance metric based on mutual information and entropy driven quadtree decomposition

M. Hossny, S. Nahavandi, D. Creighton, 2010 .

Comments on 'Information measure for performance of image fusion'

M. Hossny, S. Nahavandi, D. Creighton, 2008 .

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.

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.

Classification ensemble to improve medical Named Entity Recognition

Chee Peng Lim, Douglas C. Creighton, Khaled Bashir Shaban, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

A hybrid cuckoo search and variable neighborhood descent for single and multiobjective scheduling problems

Saeid Nahavandi, Samer Hanoun, Doug Creighton, 2014 .

Quantifying Heteroskedasticity via Bhattacharyya Distance

M. Hossny, S. Nahavandi, D. Creighton, 2016, 1609.06145.

Towards designing a generic and comprehensive deep reinforcement learning framework

Ngoc Duy Nguyen, Nhat Truong Pham, Hai V. Nguyen, 2022, Applied Intelligence.

Simulation-based operational decision support systems

Saeid Nahavandi, Michael Johnstone, James Zhang, 2013 .

A hybrid cuckoo search and variable neighborhood descent for single and multiobjective scheduling problems

D. Creighton, Samer Hanoun, Saeid Nahavandi, 2014, The International Journal of Advanced Manufacturing Technology.

Target coverage in camera networks for manufacturing workplaces

Celeste Gloria Esparza, D. Creighton, A. Bhatti, 2014, Journal of Intelligent Manufacturing.

EEG data classification using wavelet features selected by Wilcoxon statistics

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

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..

Dynamic time warp-based clustering: Application of machine learning algorithms to simulation input modelling

Burhan Khan, Michael Johnstone, Douglas C. Creighton, 2021, Expert Syst. Appl..

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

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

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

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

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..

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.

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.

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).

On Detecting Road Regions in a Single UAV Image

Saeid Nahavandi, Hui Kong, Douglas Creighton, 2017, IEEE Transactions on Intelligent Transportation Systems.

Automatic spike sorting by unsupervised clustering with diffusion maps and silhouettes

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

An efficient implementation of Bailey and Borwein’s algorithm for parallel random number generation on graphics processing units

D. Creighton, G. Beliakov, Tim Wilkin, 2013, Computing.

Simulation-based Input Loading Condition Optimisation of Airport Baggage Handling Systems

Saeid Nahavandi, Douglas C. Creighton, Vu Thanh Le, 2007, 2007 IEEE Intelligent Transportation Systems Conference.

A dynamic time warped clustering technique for discrete event simulation-based system analysis

Saeid Nahavandi, Michael Johnstone, Douglas C. Creighton, 2015, Expert Syst. Appl..

A novel aggregate gene selection method for microarray data classification

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

Prediction Intervals for Short-Term Wind Farm Power Generation Forecasts

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

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.

Feels Like Dancing: Motion Capture-Driven Haptic Interface as an Added Sensory Experience for Dance Viewing

Saeid Nahavandi, Mohammed Hossny, Kim Vincs, 2020, Leonardo.

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

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

A genetic fuzzy system to model pedestrian walking path in a built environment

Chee Peng Lim, Saeid Nahavandi, Mojdeh Nasir, 2014, Simul. Model. Pract. Theory.

Teaching a Digital Performing Agent: Artificial Neural Network and Hidden Markov Model for recognising and performing dance movement

Saeid Nahavandi, Kim Vincs, Douglas C. Creighton, 2014, MOCO.

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

Saeid Nahavandi, Abbas Khosravi, Douglas Creighton, 2014 .

Enhancing medical named entity recognition with an extended segment representation technique

Chee Peng Lim, Douglas C. Creighton, Khaled Bashir Shaban, 2015, Comput. Methods Programs Biomed..

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.

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).

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

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

Integrating Simulated Annealing and Delta Technique for Constructing Optimal Prediction Intervals

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

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.

Application of discrete event simulation for robust system design of a melt facility

Saeid Nahavandi, Douglas Creighton, S. Nahavandi, 2003 .

Multi-objective job shop scheduling using i-NSGA-III

Chee Peng Lim, Saeid Nahavandi, Burhan Khan, 2018, 2018 Annual IEEE International Systems Conference (SysCon).

Prediction of pedestrians routes within a built environment in normal conditions

Chee Peng Lim, Saeid Nahavandi, Mojdeh Nasir, 2014, Expert Syst. Appl..

Enhancement of Medical Named Entity Recognition Using Graph-Based Features

Chee Peng Lim, Douglas C. Creighton, Sara Keretna, 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.

A hybrid model for named entity recognition using unstructured medical text

Chee Peng Lim, Douglas C. Creighton, Sara Keretna, 2014, 2014 9th International Conference on System of Systems Engineering (SOSE).

Recent Advances on Singlemodal and Multimodal Face Recognition: A Survey

Saeid Nahavandi, Mohammed Hossny, Ajmal S. Mian, 2014, IEEE Transactions on Human-Machine Systems.

Hybrid neural-evolutionary model for electricity price forecasting

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

Robust Vehicle Detection in Aerial Images Using Bag-of-Words and Orientation Aware Scanning

Chee Peng Lim, Saeid Nahavandi, Lei Wei, 2018, IEEE Transactions on Geoscience and Remote Sensing.

Towards a parameterless 3D mesh segmentation

Saeid Nahavandi, Douglas Creighton, Wael Abdelrahman, 2013, International Conference on Graphic and Image Processing.

Solving a multiobjective job shop scheduling problem using Pareto Archived Cuckoo Search

Saeid Nahavandi, Samer Hanoun, Douglas C. Creighton, 2012, Proceedings of 2012 IEEE 17th International Conference on Emerging Technologies & Factory Automation (ETFA 2012).

EEG signal analysis for BCI application using fuzzy system

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

Kinematic modeling of a bio-inspired robotic fish

Saeid Nahavandi, Zhiqiang Cao, Min Tan, 2008, 2008 IEEE International Conference on Robotics and Automation.

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..

Reducing the Impact of Bounded Parametric Uncertainty on Hodgson's Scheduling Algorithm Using Interval Programming

Saeid Nahavandi, Douglas C. Creighton, Ahmad H. Hossny, 2017, IEEE Systems Journal.

Automatic deformation transfer for data-driven haptic rendering

Saeid Nahavandi, Douglas C. Creighton, Wael Abdelrahman, 2013, 2013 11th IEEE International Conference on Industrial Informatics (INDIN).

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

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

Image Fusion Metrics: Evolution in a Nutshell

Saeid Nahavandi, Mohammed Hossny, Asim Bhatti, 2013, 2013 UKSim 15th International Conference on Computer Modelling and Simulation.

Efficient Road Detection and Tracking for Unmanned Aerial Vehicle

Saeid Nahavandi, Hui Kong, Lei Wei, 2015, IEEE Transactions on Intelligent Transportation Systems.

Marine Object Detection Using Background Modelling and Blob Analysis

Saeid Nahavandi, Lei Wei, Hailing Zhou, 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.

Haptically-Enabled Dance Visualisation Framework for Deafblind-Folded Audience and Artists

Saeid Nahavandi, Mohammed Hossny, Kim Vincs, 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.

Physically based simulation of heterogeneous deformable models using XFEM

Saeid Nahavandi, Douglas Creighton, Wael Abdelrahman, 2011, 2011 9th IEEE International Conference on Industrial Informatics.

Steering approaches to Pareto-optimal multiobjective reinforcement learning

Peter Vamplew, Douglas C. Creighton, Tim Moore, 2017, Neurocomputing.

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

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

Improving the Quality of Prediction Intervals Through Optimal Aggregation

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

Quantifying uncertainties of neural network-based electricity price forecasts

Saeid Nahavandi, Abbas Khosravi, Doug Creighton, 2013 .

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).

Inclusion of environmental effects in steering behaviour modelling using fuzzy logic

Chee Peng Lim, Saeid Nahavandi, Mojdeh Nasir, 2014, Expert Syst. Appl..

Decentralized mobility models for data collection in wireless sensor networks

Saeid Nahavandi, Samer Hanoun, Douglas C. Creighton, 2008, 2008 IEEE International Conference on Robotics and Automation.

Uncertainty quantification for wind farm power generation

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

A scalarization-based dominance evolutionary algorithm for many-objective optimization

Chee Peng Lim, Saeid Nahavandi, Burhan Khan, 2019, Inf. Sci..

LGT/VOT tracking performance evaluation of depth images

Jingjing Xiao, S. Nahavandi, M. Hossny, 2014, 2014 9th International Conference on System of Systems Engineering (SOSE).

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).

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).

Fast road detection and tracking in aerial videos

Saeid Nahavandi, Hui Kong, Hailing Zhou, 2014, 2014 IEEE Intelligent Vehicles Symposium Proceedings.

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).

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).

GMIX: Graph-based spatial–temporal multi-agent reinforcement learning for dynamic electric vehicle dispatching system

D. Creighton, Changzhi Wu, Tao Zhou, 2022, Transportation Research Part C: Emerging Technologies.

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.

Identification of concurrent control chart patterns with singular spectrum analysis and learning vector quantization

D. Creighton, Zhiqiang Cao, Nong Gu, 2012, Journal of Intelligent Manufacturing.

A dynamic architecture for increased passenger queue model fidelity

Saeid Nahavandi, Michael Johnstone, Douglas C. Creighton, 2009, Proceedings of the 2009 Winter Simulation Conference (WSC).

TOWARD A SYNERGY BETWEEN SIMULATION AND KNOWLEDGE MANAGEMENT FOR BUSINESS INTELLIGENCE

Saeid Nahavandi, Douglas C. Creighton, James Zhang, 2008, Cybern. Syst..

Efficacy comparison of clustering systems for limb detection

Saeid Nahavandi, Mohammed Hossny, Douglas C. Creighton, 2014, 2014 9th International Conference on System of Systems Engineering (SOSE).

Video Driven Traffic Modelling

Saeid Nahavandi, Lei Wei, Hailing Zhou, 2013, 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.

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

Saeid Nahavandi, Abbas Khosravi, Doug Creighton, 2013 .

NN-based Prediction Interval for Nonlinear Processes Controller

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

Fuzzy simulation of pedestrian walking path considering local environmental stimuli

Saeid Nahavandi, Mojdeh Nasir, Douglas C. Creighton, 2012, 2012 IEEE International Conference on Fuzzy Systems.

Fuzzy Prediction of Pedestrian Steering Behavior with Local Environmental Effects

Saeid Nahavandi, Douglas Creighton, Mojdeh Nasir, 2014 .

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.

Identification of concurrent control chart patterns with singular spectrum analysis and learning vector quantization

Saeid Nahavandi, Zhiqiang Cao, Min Tan, 2012, Journal of Intelligent Manufacturing.

Feature Selection for Cycle Life Prediction of Fast-Charged Lithium-ion Batteries

D. Creighton, Vu Le, Rehan Mohammed, 2023, 2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT).