Tshilidzi Marwala

According to our database1, Tshilidzi Marwala authored at least 211 papers between 2001 and 2019.

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

Timeline

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Bibliography

2019
Stochastic differential equations with imprecisely defined parameters in market analysis.
Soft Comput., 2019

Relative Net Utility and the Saint Petersburg Paradox.
CoRR, 2019

Automatic Relevance Determination Bayesian Neural Networks for Credit Card Default Modelling.
CoRR, 2019

Relative rationality: Is machine rationality subjective?
CoRR, 2019

Integrated Learning via Randomized Forests and Localized Regression With Application to Medical Diagnosis.
IEEE Access, 2019

Bayesian Automatic Relevance Determination for Feature Selection in Credit Default Modelling.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

2018
A multivariate additive noise model for complete causal discovery.
Neural Networks, 2018

Can rationality be measured?
CoRR, 2018

The limit of artificial intelligence: Can machines be rational?
CoRR, 2018

On Robot Revolution and Taxation.
CoRR, 2018

Creativity and Artificial Intelligence: A Digital Art Perspective.
CoRR, 2018

Blockchain and Artificial Intelligence.
CoRR, 2018

System dynamics of active and passive postural changes: Insights from principal dynamic modes analysis of baroreflex loop.
Comp. in Bio. and Med., 2018

An adaptive fuzzy predictive control of nonlinear processes based on Multi-Kernel least squares support vector regression.
Appl. Soft Comput., 2018

A Hybrid GA-PSO Adaptive Neuro-Fuzzy Inference System for Short-Term Wind Power Prediction.
Proceedings of the Advances in Swarm Intelligence - 9th International Conference, 2018

2017
Artificial Intelligence and Economic Theory: Skynet in the Market
Advanced Information and Knowledge Processing, Springer, ISBN: 978-3-319-66103-2, 2017

An efficient educational data mining approach to support e-learning.
Wireless Networks, 2017

A new T-S fuzzy model predictive control for nonlinear processes.
Expert Syst. Appl., 2017

Early prediction of the duration of protests using probabilistic Latent Dirichlet Allocation and Decision Trees.
CoRR, 2017

A Differential Evaluation Markov Chain Monte Carlo algorithm for Bayesian Model Updating.
CoRR, 2017

Implications of the Fourth Industrial Age on Higher Education.
CoRR, 2017

Artificial Intelligence and Economic Theories.
CoRR, 2017

Rational Choice and Artificial Intelligence.
CoRR, 2017

Fuzzy finite element model updating using metaheuristic optimization algorithms.
CoRR, 2017

Swarm Based Architecture for Defense Against Stealthy Attacks in Mobile Ad Hoc Network.
Ad Hoc & Sensor Wireless Networks, 2017

A Deep Learning-Cuckoo Search Method for Missing Data Estimation in High-Dimensional Datasets.
Proceedings of the Advances in Swarm Intelligence - 8th International Conference, 2017

Deep learning-bat high-dimensional missing data estimator.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Ethnicity Distinctiveness Through Iris Texture Features Using Gabor Filters.
Proceedings of the Intelligent Information and Database Systems - 9th Asian Conference, 2017

2016
Ant-based distributed denial of service detection technique using roaming virtual honeypots.
IET Communications, 2016

Missing Data Estimation in High-Dimensional Datasets: A Swarm Intelligence-Deep Neural Network Approach.
CoRR, 2016

Missing Data Estimation in High-Dimensional Datasets: A Swarm Intelligence-Deep Neural Network Approach.
Proceedings of the Advances in Swarm Intelligence, 7th International Conference, 2016

Tolerance to complexity: Measuring capacity of development teams to handle source code complexity.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Hybrid optimization algorithm to the problem of Distributed Generation power losses.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Autoencoder Networks for Water Demand Predictive Modelling.
Proceedings of the 6th International Conference on Simulation and Modeling Methodologies, 2016

Prioritising Security Tests on Large-Scale and Distributed Software Development Projects by Using Self-organised Maps.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015
Finite element model updating using fish school search and volitive particle swarm optimization.
Integrated Computer-Aided Engineering, 2015

Causal Model Analysis using Collider v-structure with Negative Percentage Mapping.
CoRR, 2015

Artificial Intelligence and Asymmetric Information Theory.
CoRR, 2015

Proposition of a Theoretical Model for Missing Data Imputation using Deep Learning and Evolutionary Algorithms.
CoRR, 2015

Monte Carlo Dynamically Weighted Importance Sampling For Finite Element Model Updating.
CoRR, 2015

Automated Detection of Human Users in Twitter.
Proceedings of the INNS Conference on Big Data 2015, 2015

2014
Artificial Intelligence Techniques for Rational Decision Making
Advanced Information and Knowledge Processing, Springer, ISBN: 978-3-319-11424-8, 2014

Rational Counterfactuals.
CoRR, 2014

Missing Data Prediction and Classification: The Use of Auto-Associative Neural Networks and Optimization Algorithms.
CoRR, 2014

Modeling after sales customer satisfaction using multinomial logistic regression insights from a South African car company.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Modeling of missing data prediction: Computational intelligence and optimization algorithms.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Moving towards accurate monitoring and prediction of gold mine underground dam levels.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Hybrid Technique for Frequent Pattern Extraction from Sequential Database.
Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014, 2014

Application of computational intelligence for Source Code classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
A dynamic programming approach to missing data estimation using neural networks.
Inf. Sci., 2013

Computational Intelligence in Used Products Retrieval and Reproduction.
IJSIR, 2013

Semi-bounded Rationality: A model for decision making
CoRR, 2013

Applying the Negative Selection Algorithm for Merger and Acquisition Target Identification.
CoRR, 2013

Flexibly-bounded Rationality and Marginalization of Irrationality Theories for Decision Making.
CoRR, 2013

Finite Element Model Updating Using Fish School Search Optimization Method.
CoRR, 2013

Partial imputation of unseen records to improve classification using a hybrid multi-layered artificial immune system and genetic algorithm.
Appl. Soft Comput., 2013

Teaching - Learning-based optimization approach for enhancing remanufacturability pre-evaluation system's reliability.
Proceedings of the 2013 IEEE Symposium on Swarm Intelligence, 2013

Predictive modeling for default risk using a multilayered feedforward neural network with Bayesian regularization.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Predicting mine dam levels and energy consumption using artificial intelligence methods.
Proceedings of the IEEE Symposium on Computational Intelligence for Engineering Solutions, 2013

Applications of computational intelligence for static software checking against memory corruption vulnerabilities.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Cyber Security, 2013

Economic Modeling Using Artificial Intelligence Methods.
Advanced Information and Knowledge Processing, Springer, ISBN: 978-1-4471-5009-1, 2013

2012
Common Mistakes when Applying Computational Intelligence and Machine Learning to Stock Market modelling
CoRR, 2012

Soft Computing in Product Recovery: A Survey Focusing on Remanufacturing System
CoRR, 2012

Predictive Modeling with Missing Data using an Automatic Relevance Determination Ensemble: a Comparative Study.
Applied Artificial Intelligence, 2012

TAC-RMTO: Trading Agent Competition in Remanufacture-to-Order.
Proceedings of the Advances in Swarm Intelligence - Third International Conference, 2012

The Effects of Customer Perceived Disposal Hardship on Post-Consumer Product Remanufacturing: A Multi-agent Perspective.
Proceedings of the Advances in Swarm Intelligence - Third International Conference, 2012

Swarm Intelligence Supported e-Remanufacturing.
Proceedings of the Advances in Swarm Intelligence - Third International Conference, 2012

Neural Network and Statistical Modeling of Software Development Effort.
Proceedings of the Second International Conference on Soft Computing for Problem Solving, 2012

The applications of computational intelligence in radio frequency identification research.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Optimising a targeted fund of strategies using genetic algorithms.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Computational intelligence techniques for modelling an economic system.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Dynamic Software Maintenance Effort Estimation Modeling Using Neural Network, Rule Engine and Multi-regression Approach.
Proceedings of the Computational Science and Its Applications - ICCSA 2012, 2012

Optimization of Fuzzy Inference System Field Classifiers Using Genetic Algorithms and Simulated Annealing.
Proceedings of the Engineering Applications of Neural Networks, 2012

Optimizing risk management using NSGA-II.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Classification with missing data using multi-layered artificial immune systems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Influence of the auditory canal number of segments and radius variation on the outer ear frequency response.
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012

2011
Militarized Conflict Modeling Using Computational Intelligence.
Advanced Information and Knowledge Processing, Springer, ISBN: 978-0-85729-790-7, 2011

Organizational adaptation to Complexity: A study of the South African Insurance Market as a Complex Adaptive System through Statistical Risk Analysis.
CoRR, 2011

Fuzzy Inference Systems Optimization
CoRR, 2011

Sampling Techniques in Bayesian Finite Element Model Updating
CoRR, 2011

Single-trial EEG Discrimination between Wrist and Finger Movement Imagery and Execution in a Sensorimotor BCI
CoRR, 2011

Artificial Neural Network and Rough Set for HV Bushings Condition Monitoring
CoRR, 2011

Improving the performance of the ripper in insurance risk classification : A comparitive study using feature selection
CoRR, 2011

Ant Colony Optimization of Rough Set for HV Bushings Fault Detection
CoRR, 2011

The fuzzy gene filter: A classifier performance assesment
CoRR, 2011

Suitability of using technical indicator-based Strategies as potential strategies within intelligent trading systems.
Proceedings of the IEEE International Conference on Systems, 2011

Improving the Performance of the Support Vector Machine in Insurance Risk Classification - A Comparitive Study.
Proceedings of the NCTA 2011, 2011

Adaptive Neuro Fuzzy Inference System, Neural Network and Support Vector Machine for Caller Behavior Classification.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Improving the Performance of the Ripper in Insurance Risk Classification - A Comparitive Study using Feature Selection.
Proceedings of the ICINCO 2011 - Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics, Volume 1, Noordwijkerhout, The Netherlands, 28, 2011

Single-trial EEG discrimination between wrist and finger movement imagery and execution in a sensorimotor BCI.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
Caller Behaviour Classification Using Computational Intelligence Methods.
Int. J. Neural Syst., 2010

Artificial Intelligence in Reverse Supply Chain Management: The State of the Art
CoRR, 2010

Application of Global and One-Dimensional Local Optimization to Operating System Scheduler Tuning
CoRR, 2010

Use of Data Mining in Scheduler Optimization
CoRR, 2010

An svm multiclassifier approach to land cover mapping
CoRR, 2010

Two-Stage Inter-Cell Layout Design for Cellular Manufacturing by Using Ant Colony Optimization Algorithms.
Proceedings of the Advances in Swarm Intelligence, First International Conference, 2010

Ant stigmergy shop floor control architecture for intelligent product oriented manufacturing system.
Proceedings of the IEEE International Conference on Systems, 2010

Can ant algorithms make automated guided vehicle system more intelligent?
Proceedings of the IEEE International Conference on Systems, 2010

Intelligent travel route planning for bridge crane type of material handling equipment in cellular manufacturing.
Proceedings of the IEEE International Conference on Systems, 2010

A Response Surface Methodology approach to operating system scheduler tuning.
Proceedings of the IEEE International Conference on Systems, 2010

Investigating the effects of ensemble classification on remotely sensed data for land cover mapping.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

The Fuzzy Gene Filter: An Adaptive Fuzzy Inference System for Expression Array Feature Selection.
Proceedings of the Trends in Applied Intelligent Systems, 2010

Cellular manufacturing system scheduling under fuzzy constraints: A group technology perspective.
Proceedings of the FUZZ-IEEE 2010, 2010

Ant colony optimization for automated storage and retrieval system.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Machine and component residual life estimation through the application of neural networks.
Rel. Eng. & Sys. Safety, 2009

State of the Art Review for Applying Computational Intelligence and Machine Learning Techniques to Portfolio Optimisation
CoRR, 2009

Finite element model selection using Particle Swarm Optimization
CoRR, 2009

Foundations for a Developmental State: A case for technical education
CoRR, 2009

Random Ensemble Feature Selection for Land Cover Mapping.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

Differentially Expressed Gene Identification Based on Separability Index.
Proceedings of the International Conference on Machine Learning and Applications, 2009

Genetic Algorithms, Neural Networks, Fuzzy Inference System, Support Vector Machines for Call Performance Classification.
Proceedings of the International Conference on Machine Learning and Applications, 2009

Evaluating the Impact of Missing Data Imputation.
Proceedings of the Advanced Data Mining and Applications, 5th International Conference, 2009

Computational Intelligence for Missing Data Imputation, Estimation, and Management - Knowledge Optimization Techniques.
IGI Global, ISBN: 978-1-60566-336-4, 2009

2008
Water Demand Prediction using Artificial Neural Networks and Support Vector Regression.
JCP, 2008

Using optimisation techniques for discretizing rough set partitions.
Int. J. Hybrid Intell. Syst., 2008

Prediction of Platinum Prices Using Dynamically Weighted Mixture of Experts
CoRR, 2008

Land Cover Mapping Using Ensemble Feature Selection Methods
CoRR, 2008

Artificial Intelligence Techniques for Steam Generator Modelling
CoRR, 2008

Relationship between Diversity and Perfomance of Multiple Classifiers for Decision Support
CoRR, 2008

Emergency Centre Organization and Automated Triage System
CoRR, 2008

The use of entropy to measure structural diversity
CoRR, 2008

Social Learning Methods in Board Games
CoRR, 2008

An Intelligent Multi-Agent Recommender System for Human Capacity Building
CoRR, 2008

Stochastic Optimization Approaches for Solving Sudoku
CoRR, 2008

The Effect of Structural Diversity of an Ensemble of Classifiers on Classification Accuracy
CoRR, 2008

Introduction to Relational Networks for Classification
CoRR, 2008

Simulation of retinal function A fuzzy-linear approach.
Proceedings of the IEEE International Conference on Systems, 2008

Interactive Voice Response field classifiers.
Proceedings of the IEEE International Conference on Systems, 2008

Condition monitoring of oil-impregnated paper bushings using Extension Neural Network, Gaussian Mixture and Hidden Markov Models.
Proceedings of the IEEE International Conference on Systems, 2008

Neuro-rough models for modelling HIV.
Proceedings of the IEEE International Conference on Systems, 2008

Classification of web resident sensor resources using Latent Semantic Indexing and ontologies.
Proceedings of the IEEE International Conference on Systems, 2008

Optimised rough sets for modelling interstate conflict.
Proceedings of the IEEE International Conference on Systems, 2008

Computational intelligence and decision trees for missing data estimation.
Proceedings of the International Joint Conference on Neural Networks, 2008

Caller Interaction Classification: A Comparison of Real and Binary Coded GA-MLP Techniques.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Investigating Demographic Influences for HIV Classification Using Bayesian Autoassociative Neural Networks.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Investigating Ensemble Weight and the Certainty Distributions for Indicating Structural Diversity.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Imputation of Missing Data Using PCA, Neuro-Fuzzy and Genetic Algorithms.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Estimating Missing Data and Determining the Confidence of the Estimate Data.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Social Learning methods in board game agents.
Proceedings of the 2008 IEEE Symposium on Computational Intelligence and Games, 2008

2007
Bayesian training of neural networks using genetic programming.
Pattern Recognition Letters, 2007

Image Classification Using SVMs: One-against-One Vs One-against-All
CoRR, 2007

Classification of Images Using Support Vector Machines
CoRR, 2007

Evolving Classifiers: Methods for Incremental Learning
CoRR, 2007

Autoencoder, Principal Component Analysis and Support Vector Regression for Data Imputation
CoRR, 2007

Automatic Detection of Pulmonary Embolism using Computational Intelligence
CoRR, 2007

Multi-Agent Modeling Using Intelligent Agents in the Game of Lerpa
CoRR, 2007

Computational Intelligence for Condition Monitoring
CoRR, 2007

Condition Monitoring of HV Bushings in the Presence of Missing Data Using Evolutionary Computing
CoRR, 2007

Using Genetic Algorithms to Optimise Rough Set Partition Sizes for HIV Data Analysis
CoRR, 2007

On-Line Condition Monitoring using Computational Intelligence
CoRR, 2007

A Study in a Hybrid Centralised-Swarm Agent Community
CoRR, 2007

Fuzzy and Multilayer Perceptron for Evaluation of HV Bushings
CoRR, 2007

Fault Classification using Pseudomodal Energies and Neuro-fuzzy modelling
CoRR, 2007

Response Prediction of Structural System Subject to Earthquake Motions using Artificial Neural Network
CoRR, 2007

Modeling and Controlling Interstate Conflict
CoRR, 2007

Dynamic Model Updating Using Particle Swarm Optimization Method
CoRR, 2007

Finite Element Model Updating Using Response Surface Method
CoRR, 2007

Scalability and Optimisation of a Committee of Agents Using Genetic Algorithm
CoRR, 2007

Option Pricing Using Bayesian Neural Networks
CoRR, 2007

Evolutionary Optimisation Methods for Template Based Image Registration
CoRR, 2007

Using artificial intelligence for data reduction in mechanical engineering
CoRR, 2007

Principal Component Analysis and Automatic Relevance Determination in Damage Identification
CoRR, 2007

HMM Speaker Identification Using Linear and Non-linear Merging Techniques
CoRR, 2007

Machine and Component Residual Life Estimation through the Application of Neural Networks
CoRR, 2007

Predicting the Presence of Internet Worms using Novelty Detection
CoRR, 2007

Control of Complex Systems Using Bayesian Networks and Genetic Algorithm
CoRR, 2007

Artificial Intelligence for Conflict Management
CoRR, 2007

Fuzzy Artmap and Neural Network Approach to Online Processing of Inputs with Missing Values
CoRR, 2007

Artificial Neural Networks and Support Vector Machines for Water Demand Time Series Forecasting
CoRR, 2007

An Independent Evaluation of Subspace Face Recognition Algorithms
CoRR, 2007

Enhancement of Noisy Planar Nuclear Medicine Images using Mean Field Annealing
CoRR, 2007

Medical Image Segmentation and Localization using Deformable Templates
CoRR, 2007

Bayesian Approach to Neuro-Rough Models
CoRR, 2007

Learning to Bluff
CoRR, 2007

Using Images to create a Hierarchical Grid Spatial Index
CoRR, 2007

Fault Classification in Cylinders Using Multilayer Perceptrons, Support Vector Machines and Guassian Mixture Models
CoRR, 2007

Rough Sets Computations to Impute Missing Data
CoRR, 2007

An Adaptive Strategy for the Classification of G-Protein Coupled Receptors
CoRR, 2007

Bayesian approach to rough set
CoRR, 2007

Agents and multi-agent systems and application to condition monitoring.
Proceedings of the IEEE International Conference on Systems, 2007

Artificial Neural Networks and Support Vector Machines for water demand time series forecasting.
Proceedings of the IEEE International Conference on Systems, 2007

Learning to bluff.
Proceedings of the IEEE International Conference on Systems, 2007

Incremental Learning and Its Application to Bushing Condition Monitoring.
Proceedings of the Advances in Neural Networks, 2007

Handling Missing Data from Heteroskedastic and Nonstationary Data.
Proceedings of the Advances in Neural Networks, 2007

Online Incremental Learning for High Voltage Bushing Condition Monitoring.
Proceedings of the International Joint Conference on Neural Networks, 2007

Water Demand Forecasting Using Multi-layer Perceptron and Radial Basis Functions.
Proceedings of the International Joint Conference on Neural Networks, 2007

Incremental Learning for Classification of Protein Sequences.
Proceedings of the International Joint Conference on Neural Networks, 2007

Using Genetic Algorithms to Optimise Rough Set Partition Sizes for HIV Data Analysis.
Proceedings of the Advances in Intelligent and Distributed Computing, 2007

Rough Set Theory for the Treatment of Incomplete Data.
Proceedings of the FUZZ-IEEE 2007, 2007

2006
Application of Feature Selection and Fuzzy ARTMAP to Intrusion Detection.
Proceedings of the IEEE International Conference on Systems, 2006

Forecasting closing price indices using neural networks.
Proceedings of the IEEE International Conference on Systems, 2006

Faults Detection Using Gaussian Mixture Models, Mel-Frequency Cepstral Coefficients and Kurtosis.
Proceedings of the IEEE International Conference on Systems, 2006

Multi-class Protein Sequence Classification Using Fuzzy ARTMAP.
Proceedings of the IEEE International Conference on Systems, 2006

Using Images to create a Hierarchical Grid Spatial Index.
Proceedings of the IEEE International Conference on Systems, 2006

Prediction of HIV Status from Demographic Data Using Neural Networks.
Proceedings of the IEEE International Conference on Systems, 2006

Fuzzy and Multilayer Perceptron for Evaluation of HV Bushings.
Proceedings of the IEEE International Conference on Systems, 2006

Improving Speaker Identification Rate Using Fractals.
Proceedings of the International Joint Conference on Neural Networks, 2006

An Extension Neural Network and Genetic Algorithm for Bearing Fault Classification.
Proceedings of the International Joint Conference on Neural Networks, 2006

Hidden Markov Models and Gaussian Mixture Models for Bearing Fault Detection Using Fractals.
Proceedings of the International Joint Conference on Neural Networks, 2006

Bayesian Training of Neural Networks Using Genetic Programming.
Proceedings of the International Joint Conference on Neural Networks, 2006

Neuro-fuzzy Modeling and Fuzzy Rule Extraction Applied to Conflict Management.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

Neural Network Applications in Advanced Aircraft Flight Control System, a Hybrid System, a Flight Test Demonstration.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

Neural Networks, Fuzzy Inference Systems and Adaptive-Neuro Fuzzy Inference Systems for Financial Decision Making.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

Online Forecasting of Stock Market Movement Direction Using the Improved Incremental Algorithm.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

Time Series Analysis Using Fractal Theory and Online Ensemble Classifiers.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

2005
The Use of Genetic Algorithms and Neural Networks to Approximate Missing Data in Database.
Computers and Artificial Intelligence, 2005

2004
American option pricing using multi-layer perceptron and support vector machine.
Proceedings of the IEEE International Conference on Systems, 2004

Representing and classifying 2D shapes of real-world objects using neural networks.
Proceedings of the IEEE International Conference on Systems, 2004

Option pricing using a committee of neural networks and optimized networks.
Proceedings of the IEEE International Conference on Systems, 2004

Agent-Based Modelling: A Case Study in HIV Epidemic.
Proceedings of the 4th International Conference on Hybrid Intelligent Systems (HIS 2004), 2004

2001
Simulation of a trading multi-agent system.
Proceedings of the IEEE International Conference on Systems, 2001


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