A. Nicholson

发表

Planning under Time Constraints in Stochastic Domains

Leslie Pack Kaelbling, Ann E. Nicholson, Thomas L. Dean, 1993, Artif. Intell..

Planning With Deadlines in Stochastic Domains

Leslie Pack Kaelbling, Ann E. Nicholson, Thomas L. Dean, 1993, AAAI.

Deliberation Scheduling for Time-Critical Sequential Decision Making

Leslie Pack Kaelbling, Ann E. Nicholson, Thomas L. Dean, 1993, UAI.

Bayesian Networks for Clinical Decision Support in Lung Cancer Care

T. Kadir, A. Nicholson, M. Sesen, 2013, PloS one.

Toward Approximate Planning in Very Large Stochastic Domains

Leslie Pack Kaelbling, Ann E. Nicholson, L. Kaelbling, 1994, AAAI 1994.

The Data Association Problem when Monitoring Robot Vehicles Using Dynamic Belief Networks

Ann E. Nicholson, Michael Brady, M. Brady, 1992, ECAI.

A Case Study in Dynamic Belief Networks: Monitoring Walking, Fall Prediction and Detection

A. Nicholson, 1996 .

The dynamic chain event graph

Rodrigo A. Collazo, L. M. Barclay, Jim Q. Smith, 2015 .

Probabilistic modeling of the relationship between socioeconomy and ecosystem services in cultural landscapes

A. D. Maldonado, A. Nicholson, A. Salmerón, 2018, Ecosystem Services.

The iOOBN framework : technical details

A. Nicholson, M. Samiullah, David Albrecht, 2017 .

Fog Forecasting for Melbourne Airport Using a Bayesian Decision Network

Gary T. Weymouth, A. Nicholson, J. Bally, 2015 .

An Object-Oriented Dynamic Bayesian Decision Network Model for Grasslands Adaptive Management

Ann E. Nicholson, Owen Woodberry, Jess Millett-Riley, 2014, BMA@UAI.

Time-Critical Planning and Scheduling Research atBrown

Lloyd G. Greenwald, L. Kaelbling, J. Kirman, 2008 .

Individuals vs. BARD: Experimental Evaluation of an Online System for Structured, Collaborative Bayesian Reasoning

A. Nicholson, K. Korb, E. Nyberg, 2020, Frontiers in Psychology.

Learning and inference methodologies for hybrid dynamic Bayesian networks: a case study for a water reservoir system in Andalusia, Spain

Rosa F. Ropero, A. Nicholson, Rafael Rumí, 2018, Stochastic Environmental Research and Risk Assessment.

Planning Wit stic s

L. Kaelbling, A. Nicholson, 1993 .

Incorporating Expert Knowledge When Learning Bayesian Network Structure: Heart Failure as a Case Study

A. Nicholson, K. Korb, M. Flores, 2022 .

DECLARATIVE DEBUGGING OF THE PARALLEL LOGIC PROGRAMMING LANGUAGE GHC.

Ann E. Nicholson, A. Nicholson, 1988 .

Proceedings of the 2005 International Conference on Simulation and Modelling

A. Nicholson, K. Korb, O. Woodberry, 2022 .

Time-Critical Planning and Scheduling inStochastic Domains ( Extended Abstract )

Lloyd G. Greenwald, T. Dean, L. Kaelbling, 2007 .

Dynamic OOBNs applied to water management in dams

Rosa F. Ropero, A. Nicholson, M. Flores, 2016, 2016 IEEE International Conference on Knowledge Engineering and Applications (ICKEA).

A Review on Probabilistic Graphical Models and Tools

Chowdhury Farhan Ahmed, A. Nicholson, David Albrecht, 2022, Dhaka University Journal of Applied Science and Engineering.

A simulation study of the evolution of ageing

A. Nicholson, K. Korb, O. Woodberry, 2007 .

Bayesian Network Classifiers

Kevin B. Korb, Ann E. Nicholson, A. Nicholson, 2010 .

Learning Linear Causal Models

Kevin B. Korb, Ann E. Nicholson, A. Nicholson, 2010 .

Comparing individual structural models with the output from an SGRP Delphi group: Is there a significant improvement in model quality?

George Wright, Gene Rowe, Ian K. Belton, 2018 .

Inference in Bayesian Networks

Kevin B. Korb, Ann E. Nicholson, A. Nicholson, 2010 .

Introducing Bayesian Networks

Kevin B. Korb, Ann E. Nicholson, A. Nicholson, 2010 .

Learning Linear Causal Models

Kevin B. Korb, Ann E. Nicholson, A. Nicholson, 2010 .

Knowledge Engineering with Bayesian Networks

Kevin B. Korb, Ann E. Nicholson, A. Nicholson, 2010 .

Bayesian Networks for Import Risk Assessment

Kevin B. Korb, Ann E. Nicholson, A. Nicholson, 2017 .

Evolving Ethics: The New Science of Good and Evil

Kevin B. Korb, Ann E. Nicholson, Steven Mascaro, 2010 .

The Evolution of Aging

Kevin B. Korb, Ann E. Nicholson, Owen Grant Woodberry, 2005 .

Learning Discrete Causal Structure

Kevin B. Korb, Ann E. Nicholson, A. Nicholson, 2010 .

Dealing with uncertainty in fog forecasting for major airports in Australia

Kevin B. Korb, Ann E. Nicholson, Tal Boneh, 2007 .

Applications of Bayesian Networks

Kevin B. Korb, Ann E. Nicholson, A. Nicholson, 2010 .

Learning Discrete Causal Structure

Kevin B. Korb, Ann E. Nicholson, A. Nicholson, 2010 .

Monitoring discrete environments using dynamic belief networks (robotics)

Ann Elizabeth Nicholson, A. Nicholson, 1992 .

A Teaching Model Exploiting Cognitive Conflict Driven by a Bayesian Network

Liz Sonenberg, Ann E. Nicholson, Vicki Steinle, 2003, User Modeling.

Improving the production and evaluation of structural models using a Delphi process

Ann E. Nicholson, George Wright, Ian K. Belton, 2020 .

Minimal Infeasible Sets of Connections : A Representationfor E cient Assembly Sequence PlanningMaria

A. Nicholson, ao Abrantes, C. White, 1997 .

Proximity-Based Non-uniform Abstractions for Approximate Planning pdf

Trevor I. Dix, Ann E. Nicholson, Jiri Baum, 2014, J. Artif. Intell. Res..

Exploring Risk Judgments in a Trade Dispute Using Bayesian Networks

Bonnie C. Wintle, Ann Nicholson, A. Nicholson, 2014, Risk analysis : an official publication of the Society for Risk Analysis.

Parameterisation and evaluation of a Bayesian network for use in an ecological risk assessment

Kevin B. Korb, Ann E. Nicholson, Barry T. Hart, 2007, Environ. Model. Softw..

Bayesian Artificial Intelligence

Kevin B. Korb, Ann E. Nicholson, A. Nicholson, 2004, Computer science and data analysis series.

Playing "invisible chess" with information-theoretic advisors

Ingrid Zukerman, Ann E. Nicholson, David W. Albrecht, 2001 .

Information-Theoretic Advisors in Invisible Chess

Ingrid Zukerman, Ann E. Nicholson, David W. Albrecht, 2001, AISTATS.

Incorporating expert knowledge when learning Bayesian network structure: A medical case study

Kevin B. Korb, Ann E. Nicholson, M. Julia Flores, 2011, Artif. Intell. Medicine.

Causal Discovery with Prior Information

Kevin B. Korb, Ann E. Nicholson, Rodney T. O'Donnell, 2006, Australian Conference on Artificial Intelligence.

Seabreeze Prediction Using Bayesian Networks

Kevin B. Korb, Ann E. Nicholson, Russell J. Kennett, 2001, PAKDD.

Parameterising Bayesian networks: a case study in ecological risk assessment

Kevin B. Korb, Ann E. Nicholson, Carmel Pollino, 2005 .

Structural Sensitivity for the Knowledge Engineering of Bayesian Networks

Ann E. Nicholson, David W. Albrecht, Chris Whittle, 2014, Probabilistic Graphical Models.

Modelling spatial and temporal changes with GIS and Spatial and Dynamic Bayesian Networks

Dianne Hall, Ann E. Nicholson, Yung En Chee, 2016, Environ. Model. Softw..

Bayesian Artificial Intelligence, Second Edition

Kevin B. Korb, Ann E. Nicholson, A. Nicholson, 2010 .

Efficient Inference in Dynamic Belief Networks with Variable Temporal Resolution

Ann E. Nicholson, Tim A. Wilkin, A. Nicholson, 2000, PRICAI.

Dynamic Belief Networks for Discrete Monitoring

Ann E. Nicholson, J. M. Brady, M. Brady, 1994, IEEE Trans. Syst. Man Cybern. Syst..

Sensor Validation Using Dynamic Belief Networks

Ann E. Nicholson, Michael Brady, M. Brady, 1992, UAI.

HetFHMM: A Novel Approach to Infer Tumor Heterogeneity Using Factorial Hidden Markov Models

Gholamreza Haffari, Ann E. Nicholson, Mohammad S. Rahman, 2015, J. Comput. Biol..

USING BAYESIAN DECISION NETWORKS TO PLAY TEXAS HOLD ’ EM POKER

Kevin B. Korb, Ann E. Nicholson, A. Nicholson, 2006 .

Species Selection of Aging for the Sake of Diversity

Kevin B. Korb, Ann E. Nicholson, Owen Woodberry, 2008, ALIFE.

Bayesian Poker

Kevin B. Korb, Ann E. Nicholson, Nathalie Jitnah, 1999, UAI.

Suicide as an Evolutionarily Stable Strategy

Kevin B. Korb, Ann E. Nicholson, Steven Mascaro, 2001, ECAL.

Bridging the gaps in test interpretation of SARS-CoV-2 through Bayesian network modelling

Y. Wu, D. Foley, J. Ramsay, 2020, Epidemiology and Infection.

S0950268821001357jxx 1..6

A. Nicholson, T. Snelling, S. Mascaro, 2021 .

Structured Prediction of Sequences and Trees Using Infinite Contexts pdf

Gholamreza Haffari, Ann E. Nicholson, Trevor Cohn, 2015, ECML/PKDD.

Modeling COVID-19 disease processes by remote elicitation of causal Bayesian networks from medical experts

Erik P. Nyberg, A. Nicholson, T. Snelling, 2022, BMC Medical Research Methodology.

Anomaly detection in vessel tracks using Bayesian networks

Kevin B. Korb, Ann E. Nicholson, Steven Mascaro, 2014, Int. J. Approx. Reason..

Applying Dependency Patterns in Causal Discovery of Latent Variable Models

Xuhui Zhang, Kevin B. Korb, Ann E. Nicholson, 2017, ACALCI.

Dynamic Time Warping Averaging of Time Series Allows Faster and More Accurate Classification

Geoffrey I. Webb, Germain Forestier, Ann E. Nicholson, 2014, 2014 IEEE International Conference on Data Mining.

Chapter 13 An ALife Investigation on the Origins of Dimorphic Parental Investments

Kevin B. Korb, Ann E. Nicholson, Steven Mascaro, 2005, Recent Advances in Artificial Life.

ALife investigation of parental investment in reproductive strategies

Kevin B. Korb, Ann E. Nicholson, Steven Mascaro, 2002 .

Testing Punctuated Equilibrium Theory Using Evolutionary Activity Statistics

Kevin B. Korb, Ann E. Nicholson, Owen Woodberry, 2009, ACAL.

Fall Diagnosis using Dynamic Belief Networks

Ann E. Nicholson, A. Nicholson, 1996, PRICAI.

Predicting Change Impact in Architecture Design with Bayesian Belief Networks

Ann E. Nicholson, Antony Tang, Jun Han, 2005, 5th Working IEEE/IFIP Conference on Software Architecture (WICSA'05).

Scaling Log-Linear Analysis to High-Dimensional Data

Geoffrey I. Webb, Ann E. Nicholson, François Petitjean, 2013, 2013 IEEE 13th International Conference on Data Mining.

Using Bayesian belief networks for change impact analysis in architecture design

Ann E. Nicholson, Antony Tang, Jun Han, 2007, J. Syst. Softw..

TakeHeart II: A tool to support clinical cardiovascular risk assessment

Kevin B. Korb, Ann E. Nicholson, Lucas R. Hope, 2007 .

Generating Incomplete Data with DataZapper

Yingying Wen, Kevin B. Korb, Ann E. Nicholson, 2009, ICAART.

DataZapper : A Tool for Generating Incomplete Datasets

Kevin B. Korb, Ann E. Nicholson, A. Nicholson, 2010 .

DataZapper: Generating Incomplete Datasets

Yingying Wen, Kevin B. Korb, Ann E. Nicholson, 2009, ICAART.

The Causal Interpretation of Bayesian Networks

Kevin B. Korb, Ann E. Nicholson, A. Nicholson, 2008, Innovations in Bayesian Networks.

Reducing the risk of house loss due to wildfires

Ann E. Nicholson, O. F. Price, R. A. Bradstock, 2015, Environ. Model. Softw..

Matilda: A visual tool for modeling with Bayesian networks

Ann E. Nicholson, E. A. Sonenberg, Tal Boneh, 2006, Int. J. Intell. Syst..

Epidemiological data mining of cardiovascular Bayesian networks

Kevin B. Korb, Ann E. Nicholson, Charles Twardy, 2006 .

Trading Off Granularity against Complexity

Ingrid Zukerman, Ann E. Nicholson, David W. Albrecht, 2000, PRICAI.

Using Mutual Information to Determine Relevance in Bayesian Networks

Ann E. Nicholson, Nathalie Jitnah, A. Nicholson, 1998, PRICAI.

treeNets: A Framework for Anytime Evaluation of Belief Networks

Ann E. Nicholson, Nathalie Jitnah, A. Nicholson, 1997, ECSQARU-FAPR.

Belief network algorithms: A study of performance based on domain characterization

Ann E. Nicholson, Nathalie Jitnah, A. Nicholson, 1996, PRICAI Workshops.

Knowledge Engineering Cardiovascular Bayesian Networks from the Literature

Kevin B. Korb, Ann E. Nicholson, Charles Twardy, 2005 .

Data mining cardiovascular Bayesian networks

Kevin B. Korb, Ann E. Nicholson, Charles Twardy, 2005 .

A State-Transition DBN for Management of Willows in an American Heritage River Catchment

Ann E. Nicholson, Yung En Chee, Pedro Quintana-Ascencio, 2012, BMA.

Combining state and transition models with dynamic Bayesian networks

Ann E. Nicholson, M. Julia Flores, A. Nicholson, 2011 .

ABC-BN: A tool for building, maintaining and using Bayesian networks in an environmental management application

Kevin B. Korb, Ann E. Nicholson, Steven Mascaro, 2011 .

Towards a Bayesian Model for Keyhole Plan Recognition in Large Domains

Ingrid Zukerman, Ann E. Nicholson, David W. Albrecht, 1997 .

Varieties of Causal Intervention

Kevin B. Korb, Ann E. Nicholson, Lucas R. Hope, 2004, PRICAI.

Intrinsic Learning of Dynamic Bayesian Networks

Kevin B. Korb, Ann E. Nicholson, Alex Black, 2014, PRICAI.

Causal Discovery of Dynamic Bayesian Networks

Kevin B. Korb, Ann E. Nicholson, Cora B. Pérez-Ariza, 2012, Australasian Conference on Artificial Intelligence.

Parameterising Bayesian Networks

Kevin B. Korb, Ann E. Nicholson, Carmel A. Pollino, 2004, Australian Conference on Artificial Intelligence.

A Case Study in Knowledge Discovery and Elicitation in an Intelligent Tutoring Application pdf

Liz Sonenberg, Ann E. Nicholson, Vicki Steinle, 2001, UAI.

Dynamic Bayesian Networks for semantic localization in robotics

Ann E. Nicholson, Fernando Rubio, M. Julia Flores, 2014 .

Knowledge Engineering Tools for Probability Elicitation

Kevin B. Korb, Ann E. Nicholson, Lucas R. Hope, 2007 .

Incorporating Expert Elicited Structural Information in the CaMML Causal Discovery Program

A. Nicholson, K. Korb, L. R. Hope, 2022 .

Development of criteria for simplifying ecological risk models

Ann E. Nicholson, Carmel Pollino, Barry T. Hart, 2005 .

An Object-oriented Spatial and Temporal Bayesian Network for Managing Willows in an American Heritage River Catchment

Ann E. Nicholson, Yung En Chee, Lauchlin A. T. Wilkinson, 2013, UAI Application Workshops.

Prediction of coffee rust disease using Bayesian networks

Ann E. Nicholson, M. Julia Flores, Cora B. Pérez-Ariza, 2012, PGM 2012.

Learning Abnormal Vessel Behaviour from AIS Data with Bayesian Networks at Two Time Scales

Kevin B. Korb, Ann E. Nicholson, Steven Mascaro, 2010 .

Bridging the gaps in test interpretation of SARS-CoV-2 through Bayesian network modelling

Ann E. Nicholson, Steven Mascaro, Owen Woodberry, 2020, Epidemiology and Infection.

Weight-directed search for anytime evaluation of belief networks

Ann E. Nicholson, Nathalie Jitnah, A. Nicholson, 1997 .

Chapter 24 The Evolution of Aging

Ann E. Nicholson, Kevin B. Korb, Owen Grant Woodberry, 2005, Recent Advances in Artificial Life.

Inferring Two-Level Hierarchical Gaussian Graphical Models to Discover Shared and Context-Specific Conditional Dependencies from High-Dimensional Heterogeneous Data

Gholamreza Haffari, Ann E. Nicholson, Mohammad S. Rahman, 2020, SN Computer Science.

Preface

Ann E. Nicholson, Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, 2014, International Journal of Approximate Reasoning.

Belief Network Inference Algorithms: a Study of Performance Based on Domain Characterisation

Ann E. Nicholson, Nathalie Jitnah, A. Nicholson, 1996 .

Arc Weights for Approximate Evaluation of Dynamic Belief Networks

Ann E. Nicholson, Nathalie Jitnah, A. Nicholson, 1999, Australian Joint Conference on Artificial Intelligence.

Bayesian Models for Keyhole Plan Recognition in an Adventure Game

Ingrid Zukerman, Ann E. Nicholson, David W. Albrecht, 2004, User Modeling and User-Adapted Interaction.

BARD: A Structured Technique for Group Elicitation of Bayesian Networks to Support Analytic Reasoning pdf

Ingrid Zukerman, Kevin B. Korb, Ann E. Nicholson, 2020, Risk analysis : an official publication of the Society for Risk Analysis.

Predicting users' requests on the WWW

Ingrid Zukerman, Ann E. Nicholson, David W. Albrecht, 1999 .

Faster and more accurate classification of time series by exploiting a novel dynamic time warping averaging algorithm

Geoffrey I. Webb, Germain Forestier, Ann E. Nicholson, 2015, Knowledge and Information Systems.