John Yearwood

Orcid: 0000-0002-7562-6767

According to our database1, John Yearwood authored at least 179 papers between 1997 and 2024.

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Bibliography

2024
ARFL: Adaptive and Robust Federated Learning.
IEEE Trans. Mob. Comput., May, 2024

Analysing Performances of DL-Based ECG Noise Classification Models Deployed in Memory-Constraint IoT-Enabled Devices.
IEEE Trans. Consumer Electron., February, 2024

Synthetic Dialogue Dataset Generation using LLM Agents.
CoRR, 2024

Robustness of Deep Learning models in electrocardiogram noise detection and classification.
Comput. Methods Programs Biomed., 2024

Aspect-Based Fake News Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

TopFormer: Topology-Aware Transformer for Point Cloud Registration.
Proceedings of the Computational Visual Media - 12th International Conference, 2024

2023
Aspect-based automated evaluation of dialogues.
Knowl. Based Syst., November, 2023

Knowledge representation of mathematical optimization problems and constructs for modeling.
Knowl. Based Syst., November, 2023

Domain Agnostic Post-Processing for QRS Detection Using Recurrent Neural Network.
IEEE J. Biomed. Health Informatics, August, 2023

Performance of a Convolutional Neural Network Derived From PPG Signal in Classifying Sleep Stages.
IEEE Trans. Biomed. Eng., June, 2023

Deep3DCANN: A Deep 3DCNN-ANN framework for spontaneous micro-expression recognition.
Inf. Sci., June, 2023

Interpretability and Optimisation of Convolutional Neural Networks Based on Sinc-Convolution.
IEEE J. Biomed. Health Informatics, April, 2023

Federated Learning via Disentangled Information Bottleneck.
IEEE Trans. Serv. Comput., 2023

Blockchain-enabled Federated Learning: A Survey.
ACM Comput. Surv., 2023

MVC: A Multi-Task Vision Transformer Network for COVID-19 Diagnosis from Chest X-ray Images.
CoRR, 2023

Optimising complexity of CNN models for resource constrained devices: QRS detection case study.
CoRR, 2023

Adapting ICT Entrepreneurship and Innovation Education to a Changing World: A Case Study of Australian Universities.
Proceedings of the 24th Annual Conference on Information Technology Education, 2023

Impact of synthetic noise signature and physiologic ECG signal on designing ML-based ECG noise detection framework.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
Deep Continual Learning for Emerging Emotion Recognition.
IEEE Trans. Multim., 2022

Robust Federated Averaging via Outlier Pruning.
IEEE Signal Process. Lett., 2022

Data Envelopment Analysis of linguistic features and passage relevance for open-domain Question Answering.
Knowl. Based Syst., 2022

EmoSeC: Emotion recognition from scene context.
Neurocomputing, 2022

The multiphase course timetabling problem.
Eur. J. Oper. Res., 2022

Short text similarity measurement using context-aware weighted biterms.
Concurr. Comput. Pract. Exp., 2022

P2OP - Plant Pathology on Palms: A deep learning-based mobile solution for in-field plant disease detection.
Comput. Electron. Agric., 2022

Robust Pareto solutions for convex quadratic multiobjective optimization problems under data uncertainty.
Ann. Oper. Res., 2022

Double Attention-Based Lightweight Network for Plant Pest Recognition.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021
Mutual Information Driven Federated Learning.
IEEE Trans. Parallel Distributed Syst., 2021

LGAttNet: Automatic micro-expression detection using dual-stream local and global attentions.
Knowl. Based Syst., 2021

EWNStream+: Effective and Real-time Clustering of Short Text Streams Using Evolutionary Word Relation Network.
Int. J. Inf. Technol. Decis. Mak., 2021

Learning post-processing for QRS detection using Recurrent Neural Network.
CoRR, 2021

Knowledge engineering mixed-integer linear programming: constraint typology.
CoRR, 2021

Boosting Emotion Recognition in Context using Non-target Subject Information.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Using spatiotemporal distribution of geocoded Twitter data to predict US county-level health indices.
Future Gener. Comput. Syst., 2020

A Knowledge Representation Approach to Automated Mathematical Modelling.
CoRR, 2020

Choosing a sampling frequency for ECG QRS detection using convolutional networks.
CoRR, 2020

Complex Emotion Profiling: An Incremental Active Learning Based Approach With Sparse Annotations.
IEEE Access, 2020

Deep Metric Learning Based Citrus Disease Classification With Sparse Data.
IEEE Access, 2020

Multimodal Deep Learning Framework for Sentiment Analysis from Text-Image Web Data.
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020

A mixed integer linear programming approach for soft graph clustering.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Anchored Vertex Exploration for Community Engagement in Social Networks.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019
SeShare: Secure cloud data sharing based on blockchain and public auditing.
Concurr. Comput. Pract. Exp., 2019

Impact of ECG Dataset Diversity on Generalization of CNN Model for Detecting QRS Complex.
IEEE Access, 2019

Detecting Micro-expression Intensity Changes from Videos Based on Hybrid Deep CNN.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Emotion Intensity Estimation from Video Frames using Deep Hybrid Convolutional Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2019

Deep Hybrid Spatiotemporal Networks for Continuous Pain Intensity Estimation.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018
Improving Chamfer Template Matching Using Image Segmentation.
IEEE Signal Process. Lett., 2018

A malicious threat detection model for cloud assisted internet of things (CoT) based industrial control system (ICS) networks using deep belief network.
J. Parallel Distributed Comput., 2018

Multistage fusion approaches based on a generative model and multivariate exponentially weighted moving average for diagnosis of cardiovascular autonomic nerve dysfunction.
Inf. Fusion, 2018

A hybrid-multi filter-wrapper framework to identify run-time behaviour for fast malware detection.
Future Gener. Comput. Syst., 2018

Securing the operations in SCADA-IoT platform based industrial control system using ensemble of deep belief networks.
Appl. Soft Comput., 2018

A Framework for Software Defect Prediction and Metric Selection.
IEEE Access, 2018

Customized Data Sharing Scheme Based on Blockchain and Weighted Attribute.
Proceedings of the IEEE Global Communications Conference, 2018

2017
Heterogeneous Cooperative Co-Evolution Memetic Differential Evolution Algorithm for Big Data Optimization Problems.
IEEE Trans. Evol. Comput., 2017

Patchwork-Based Multilayer Audio Watermarking.
IEEE ACM Trans. Audio Speech Lang. Process., 2017

Defending unknown attacks on cyber-physical systems by semi-supervised approach and available unlabeled data.
Inf. Sci., 2017

Exponentially weighted control charts to monitor multivariate process variability for high dimensions.
Int. J. Prod. Res., 2017

Kernel-based features for predicting population health indices from geocoded social media data.
Decis. Support Syst., 2017

CExp: secure and verifiable outsourcing of composite modular exponentiation with single untrusted server.
Digit. Commun. Networks, 2017

A fast malware feature selection approach using a hybrid of multi-linear and stepwise binary logistic regression.
Concurr. Comput. Pract. Exp., 2017

A parallel framework for software defect detection and metric selection on cloud computing.
Clust. Comput., 2017

Prediction of Population Health Indices from Social Media using Kernel-based Textual and Temporal Features.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

2016
Group decision making in health care: A case study of multidisciplinary meetings.
J. Decis. Syst., 2016

Hybrids of support vector machine wrapper and filter based framework for malware detection.
Future Gener. Comput. Syst., 2016

Protection of Privacy in Biometric Data.
IEEE Access, 2016

A Hybrid Feature Selection With Ensemble Classification for Imbalanced Healthcare Data: A Case Study for Brain Tumor Diagnosis.
IEEE Access, 2016

Discriminative Cues for Different Stages of Smoking Cessation in Online Community.
Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

2015
Constructing an inter-post similarity measure to differentiate the psychological stages in offensive chats.
J. Assoc. Inf. Sci. Technol., 2015

2014
Hybrid Metaheuristic Approaches to the Expectation Maximization for Estimation of the Hidden Markov Model for Signal Modeling.
IEEE Trans. Cybern., 2014

Attribute weighted Naive Bayes classifier using a local optimization.
Neural Comput. Appl., 2014

A Hybrid Wrapper-Filter Approach for Malware Detection.
J. Networks, 2014

A new loss function for robust classification.
Intell. Data Anal., 2014

A hybrid wrapper-filter approach to detect the source(s) of out-of-control signals in multivariate manufacturing process.
Eur. J. Oper. Res., 2014

Analytics Service Oriented Architecture for Enterprise Information Systems.
Proceedings of the 16th International Conference on Information Integration and Web-based Applications & Services, 2014

2013
An algorithm for minimization of pumping costs in water distribution systems using a novel approach to pump scheduling.
Math. Comput. Model., 2013

A Technique for Ranking Friendship Closeness in Social Networking Services.
Proceedings of the Australasian Conference on Information Systems, 2013

2012
Profiling phishing activity based on hyperlinks extracted from phishing emails.
Soc. Netw. Anal. Min., 2012

Application of Rank Correlation, Clustering and Classification in Information Security.
J. Networks, 2012

Using psycholinguistic features for profiling first language of authors.
J. Assoc. Inf. Sci. Technol., 2012

Novel weighting in single hidden layer feedforward neural networks for data classification.
Comput. Math. Appl., 2012

Detection of CAN by Ensemble Classifiers Based on Ripple Down Rules.
Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2012

Empirical Study of Decision Trees and Ensemble Classifiers for Monitoring of Diabetes Patients in Pervasive Healthcare.
Proceedings of the 15th International Conference on Network-Based Information Systems, 2012

Empirical investigation of consensus clustering for large ECG data sets.
Proceedings of CBMS 2012, 2012

Improving Classi cations for Cardiac Autonomic Neuropathy Using Multi-level Ensemble Classi ers and Feature Selection Based.
Proceedings of the Tenth Australasian Data Mining Conference, AusDM 2012, Sydney, 2012

Integrating Online Social Networks with E-Commerce: A CBR Approach.
Proceedings of the Australasian Conference on Information Systems, 2012

2011
Real-time detection of children's skin on social networking sites using Markov random field modelling.
Inf. Secur. Tech. Rep., 2011

Robust artificial neural networks and outlier detection. Technical report
CoRR, 2011

A novel canonical dual computational approach for prion AGAAAAGA amyloid fibril molecular modeling
CoRR, 2011

Reinforcement Learning Approach to AIBO Robot's Decision Making Process in Robosoccer's Goal Keeper Problem.
Proceedings of the 12th ACIS International Conference on Software Engineering, 2011

A Reinforcement Learning Approach with Spline-Fit Object Tracking for AIBO Robot's High Level Decision Making.
Proceedings of the Software Engineering, 2011

Child face detection using age specific luminance invariant geometric descriptor.
Proceedings of the 2011 IEEE International Conference on Signal and Image Processing Applications, 2011

A novel hybrid neural learning algorithm using simulated annealing and quasisecant method.
Proceedings of the Ninth Australasian Data Mining Conference, AusDM 2011, Ballarat, 2011

Hybrid Wrapper-filter Aapproaches for Input Feature Selection using Maximum relevance-Minimum redundancy and Artificial Neural Network Input Gain Measurement Approximation (ANNIGMA).
Proceedings of the Thirty-Fourth Australasian Computer Science Conference, 2011

Detection of child exploiting chats from a mixed chat dataset as a text classification task.
Proceedings of the Australasian Language Technology Association Workshop 2011, 2011

2010
Automated opinion detection: Implications of the level of agreement between human raters.
Inf. Process. Manag., 2010

Editorial.
J. Res. Pract. Inf. Technol., 2010

UB.dmirg: Learning Textual Entailment Relationships Using Lexical Semantic Features.
Proceedings of the Third Text Analysis Conference, 2010

Consensus Clustering and Supervised Classification for Profiling Phishing Emails in Internet Commerce Security.
Proceedings of the Knowledge Management and Acquisition for Smart Systems and Services, 2010

Smokers' Characteristics and Cluster Based Quitting Rule Discovery Model for Enhancement of Government's Tobacco Control Systems.
Proceedings of the Pacific Asia Conference on Information Systems, 2010

Adaptive Clustering with Feature Ranking for DDoS Attacks Detection.
Proceedings of the Fourth International Conference on Network and System Security, 2010

Hybrid Wrapper-Filter Approaches for Input Feature Selection Using Maximum Relevance and Artificial Neural Network Input Gain Measurement Approximation (ANNIGMA).
Proceedings of the Fourth International Conference on Network and System Security, 2010

Cluster Based Rule Discovery Model for Enhancement of Government's Tobacco Control Strategy.
Proceedings of the Fourth International Conference on Network and System Security, 2010

From Convex to Nonconvex: A Loss Function Analysis for Binary Classification.
Proceedings of the ICDMW 2010, 2010

Learning Parse-Free Event-Based Features for Textual Entailment Recognition.
Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010

A New Supervised Term Ranking Method for Text Categorization.
Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010

Profiling Phishing Emails Based on Hyperlink Information.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2010

2009
A Constraint-Based Evolutionary Learning Approach to the Expectation Maximization for Optimal Estimation of the Hidden Markov Model for Speech Signal Modeling.
IEEE Trans. Syst. Man Cybern. Part B, 2009

A stochastic version of Expectation Maximization algorithm for better estimation of Hidden Markov Model.
Pattern Recognit. Lett., 2009

Workload coverage through nonsmooth optimization.
Optim. Methods Softw., 2009

Weblogs for market research: finding more relevant opinion documents using system fusion.
Online Inf. Rev., 2009

The impact of frame semantic annotation levels, frame-alignment techniques, and fusion methods on factoid answer processing.
J. Assoc. Inf. Sci. Technol., 2009

Cayley graphs as classifiers for data mining: The influence of asymmetries.
Discret. Math., 2009

Deliberative discourse and reasoning from generic argument structures.
AI Soc., 2009

UB.dmirg: A Syntactic Lexical System for Recognizing Textual Entailments.
Proceedings of the Second Text Analysis Conference, 2009

Online Group Deliberation for the Elicitation of Shared Values to Underpin Decision Making.
Proceedings of the Next Generation Information Technologies and Systems, 2009

Experimental Investigation of Three Machine Learning Algorithms for ITS Dataset.
Proceedings of the Future Generation Information Technology, 2009

Establishing phishing provenance using orthographic features.
Proceedings of the 2009 eCrime Researchers Summit, 2009

Applying Clustering and Ensemble Clustering Approaches to phishing Profiling.
Proceedings of the Eighth Australasian Data Mining Conference, AusDM 2009, Melbourne, 2009

Can Shallow Semantic Class Information Help Answer Passage Retrieval?
Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009

From Lexical Entailment to Recognizing Textual Entailment Using Linguistic Resources.
Proceedings of the Australasian Language Technology Association Workshop, 2009

2008
A new scoring system in Cystic Fibrosis: statistical tools for database analysis - a preliminary report.
BMC Medical Informatics Decis. Mak., 2008

Enhancing learning outcomes with an interactive knowledge-based learning environment providing narrative feedback.
Interact. Learn. Environ., 2008

AWSum-Combining Classification with Knowledge Aquisition.
Int. J. Softw. Informatics, 2008

New Traceability Codes and Identification Algorithm for Tracing Pirates.
Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2008

The Impact of Semantic Class Identification and Semantic Role Labeling on Natural Language Answer Extraction.
Proceedings of the Advances in Information Retrieval , 2008

Unsupervised Segmentation of Industrial Images Using Markov Random Field Model.
Proceedings of the Technological Developments in Education and Automation, 2008

MRF Model Based Unsupervised Color Textured Image Segmentation Using Multidimensional Spatially Variant Finite Mixture Model.
Proceedings of the Technological Developments in Education and Automation, 2008

On the Limitations of Scalarisation for Multi-objective Reinforcement Learning of Pareto Fronts.
Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008

FrameNet-Based Fact-Seeking Answer Processing: A Study of Semantic Alignment Techniques and Lexical Coverage.
Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008

AWSum - Data Mining for Insight.
Proceedings of the Advanced Data Mining and Applications, 4th International Conference, 2008

2007
The study of drug-reaction relationships using global optimization techniques.
Optim. Methods Softw., 2007

Narrative-based Interactive Learning Environments from Modelling Reasoning.
J. Educ. Technol. Soc., 2007

Dramatic flow in interactive 3D narrative.
Proceedings of the 4th Australasian Conference on Interactive Entertainment, 2007

Unsupervised Color Textured Image Segmentation Using Cluster Ensembles and MRF Model.
Proceedings of the Advances in Computer and Information Sciences and Engineering, 2007

Classification for accuracy and insight: A weighted sum approach.
Proceedings of the Data Mining and Analytics 2007, 2007

Using Corpus Analysis to Inform Research into Opinion Detection in Blogs.
Proceedings of the Data Mining and Analytics 2007, 2007

A Within-Frame Ontological Extension on FrameNet: Application in Predicate Chain Analysis and Question Answering.
Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007

Opinion Search in Web Logs.
Proceedings of the Database Technologies 2007. Proceedings of the Eighteenth Australasian Database Conference, 2007

An Interactive Knowledge-based Learning Environment for Transferring Health Knowledge.
Proceedings of the ACSW Frontiers 2007. Proceedings of the Fifth Australasian Symposium on Grid Computing and e-Research (AusGrid 2007), the Fifth Australasian Information Security Workshop (Privacy Enhancing Technologies) (AISW 2007), and the Australasian Workshop on Health Knowledge Management and Discovery (HKMD 2007). Proceedings, Ballarat, Victoria, Australia, January 30, 2007

Two-Step Comprehensive Open Domain Text Annotation with Frame Semantics.
Proceedings of the Australasian Language Technology Workshop, 2007

Using Links to Aid Web Classification.
Proceedings of the 6th Annual IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007

A Hybrid Algorithm for Estimation of the Parameters of Hidden Markov Model based Acoustic Modeling of Speech Signals using Constraint-Based Genetic Algorithm and Expectation Maximization.
Proceedings of the 6th Annual IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007

Visual Tools for Analysing Evolution, Emergence, and Error in Data Streams.
Proceedings of the 6th Annual IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007

A fully Automated CAD system using Multi-category Feature Selection with Restricted Recombination.
Proceedings of the 6th Annual IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007

2006
A Hybrid Neural Learning Algorithm Using Evolutionary Learning and Derivative Free Local Search Method.
Int. J. Neural Syst., 2006

A new nonsmooth optimization algorithm for minimum sum-of-squares clustering problems.
Eur. J. Oper. Res., 2006

The generic/actual argument model of practical reasoning.
Decis. Support Syst., 2006

A Variable Initialization Approach to the EM Algorithm for Better Estimation of the Parameters of Hidden Markov Model Based Acoustic Modeling of Speech Signals.
Proceedings of the Advances in Data Mining, 2006

A Hybrid Question Answering Schema Using Encapsulated Semantics in Lexical Resources.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

A Semantic Method to Information Extraction for Decision Support Systems.
Proceedings of the Connecting the Americas. 12th Americas Conference on Information Systems, 2006

A semantic approach to boost passage retrieval effectiveness for question answering.
Proceedings of the Computer Science 2006, 2006

2005
A Fully Automated Breast Cancer Recognition System Using Discrete-Gradient Based Clustering and Multi Category Feature Selection.
J. Adv. Comput. Intell. Intell. Informatics, 2005

Modular Neural Network Design For The Problem Of Alphabetic Character Recognition.
Int. J. Pattern Recognit. Artif. Intell., 2005

Predicting Australian Stock Market Index Using Neural Networks Exploiting Dynamical Swings and Intermarket Influences.
J. Res. Pract. Inf. Technol., 2005

Decisions Surrounding Adverse Drug Reaction Prescribing: Insights from Consumers and Implications for Decision Support.
J. Res. Pract. Inf. Technol., 2005

Determining Regularization Parameters for Derivative Free Neural Learning.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005

Comparative Analysis of Genetic Algorithm, Simulated Annealing and Cutting Angle Method for Artificial Neural Networks.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005

Structured Reasoning to Support Deliberative Dialogue.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

A Formal Description of Ontology Change in OWL.
Proceedings of the Third International Conference on Information Technology and Applications (ICITA 2005), 2005

The Integration of Narrative and Argumentation for a Scenario based Learning Environment in Law.
Proceedings of the Tenth International Conference on Artificial Intelligence and Law, 2005

Using association and overlapping time window approach to detect drug reaction signals.
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

Fusion Strategies for Neural Learning Algorithms using Evolutionary and Discrete Gradient Approaches.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2005

2004
An Experiment in Task Decomposition and Ensembling for a Modular Artificial Neural Network.
Proceedings of the Innovations in Applied Artificial Intelligence, 2004

An Evolutionary Neural Learning Algorithm for Offline Cursive Handwriting Words with Hamming Neural Network Lexicon.
Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, 2004

A Modular Framework for Multi category feature selection in Digital mammography.
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

2003
New algorithms for multi-class cancer diagnosis using tumor gene expression signatures.
Bioinform., 2003

Are Schools of Education Failing the Tertiary Mathematics Sector?
Proceedings of the 2003 International Symposium on Information Technology (ITCC 2003), 2003

Visualizing Association Rules for feedback within the legal system.
Proceedings of the 9th International Conference on Artificial Intelligence and Law, 2003

DOWL: A Dynamic Ontology Language.
Proceedings of the IADIS International Conference WWW/Internet 2003, 2003

2002
Generic Arguments: a framework for supporting online deliberative discourse.
Proceedings of the Australasian Conference on Information Systems, 2002

2001
Argumentation structures that integrate dialectical and non-dialectical reasoning.
Knowl. Eng. Rev., 2001

Tools for placing legal decision support systems on the world wide web.
Proceedings of the Eigths International Conference on Artificial Intelligence and Law, 2001

System development a la MODDE.
Proceedings of the Eigths International Conference on Artificial Intelligence and Law, 2001

An Induction Algorithm with Selection Significance Based on a Fuzzy Derivative.
Proceedings of the Hybrid Information Systems, 2001

An Argumentation-Based Multi-Agent System for eTourism Dialogue.
Proceedings of the Hybrid Information Systems, 2001

A Global Optimization Approach to Classification in Medical Diagnosis and Prognosis.
Proceedings of the 34th Annual Hawaii International Conference on System Sciences (HICSS-34), 2001

1999
The integration of retrieval, reasoning and drafting for refugee law: a third generation legal knowledge based system.
Proceedings of the Seventh International Conference on Artificial Intelligence and Law, 1999

1998
Adaptive Simulation: An Implementation Framework.
Proceedings of the Simulated Evolution and Learning, 1998

1997
Retrieving cases for treatment advice in nursing using text representation and structured text retrieval.
Artif. Intell. Medicine, 1997


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