Ann E. Nicholson

According to our database, Ann E. Nicholson authored at least 81 papers between 1992 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Causal knowledge engineering: A case study from COVID-19.

Steven Mascaro, Yue Wu, Ross Pearson, Owen Woodberry, Jessica Ramsay, Tom Snelling, Ann E. Nicholson

CoRR, 2024

The practice of qualitative parameterisation in the development of Bayesian networks.

Steven Mascaro, Owen Woodberry, Yue Wu, Ann E. Nicholson

CoRR, 2024

2023

Shareable and Inheritable Incremental Compilation in iOOBN.

Md. Samiullah, Ann E. Nicholson, David W. Albrecht

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023

2022

Automated construction of an Object-Oriented Bayesian Network (OOBN) Class Hierarchy.

Md. Samiullah, Ann E. Nicholson, David W. Albrecht

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

2020

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

Mohammad S. Rahman, Ann E. Nicholson, Gholamreza Haffari

SN Comput. Sci., 2020

BARD: A structured technique for group elicitation of Bayesian networks to support analytic reasoning.

Ann E. Nicholson, Kevin B. Korb, Erik P. Nyberg, Michael Wybrow, Ingrid Zukerman, Steven Mascaro, Shreshth Thakur, Abraham Oshni Alvandi, Jeff Riley, Ross Pearson, Shane Morris, Matthieu Herrmann, A. K. M. Azad, Fergus Bolger, Ulrike Hahn, David A. Lagnado

CoRR, 2020

Welcome.

Sue Moon, Ann E. Nicholson, Abhik Roychoudhury

Commun. ACM, 2020

Predicting the causative pathogen among children with osteomyelitis using Bayesian networks - improving antibiotic selection in clinical practice.

Yue Wu, Charlie McLeod, Christopher C. Blyth, Asha Bowen, Andrew Martin, Ann E. Nicholson, Steven Mascaro, Tom Snelling

Artif. Intell. Medicine, 2020

2019

Assessment of Small-Scale Wind Turbines to Meet High-Energy Demand in Mexico with Bayesian Decision Networks.

Mónica Borunda, Raul Garduño Ramírez, Ann E. Nicholson, Javier de la Cruz

Proceedings of the Advances in Soft Computing, 2019

2018

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

Mohammad S. Rahman, Ann E. Nicholson, Gholamreza Haffari

J. Comput. Biol., 2018

On the Modelling of the Energy System of a Country for Decision Making Using Bayesian Artificial Intelligence - A Case Study for Mexico.

Mónica Borunda, Ann E. Nicholson, Raul Garduño Ramírez, Hoss Sadafi

Proceedings of the Advances in Computational Intelligence, 2018

2017

iOOBN: A Bayesian Network Modelling Tool Using Object Oriented Bayesian Networks with Inheritance.

Md. Samiullah, Thao Xuan Hoang, David W. Albrecht, Ann E. Nicholson, Kevin B. Korb

Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Applying Dependency Patterns in Causal Discovery of Latent Variable Models.

Xuhui Zhang, Kevin B. Korb, Ann E. Nicholson, Steven Mascaro

Proceedings of the Artificial Life and Computational Intelligence, 2017

2016

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

François Petitjean, Germain Forestier, Geoffrey I. Webb, Ann E. Nicholson, Yanping Chen, Eamonn J. Keogh

Knowl. Inf. Syst., 2016

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

Yung En Chee, Lauchlin A. T. Wilkinson, Ann E. Nicholson, Pedro Quintana-Ascencio, John E. Fauth, Dianne L. Hall, Kimberli J. Ponzio, Libby Rumpff

Environ. Model. Softw., 2016

Latent Variable Discovery Using Dependency Patterns.

Xuhui Zhang, Kevin B. Korb, Ann E. Nicholson, Steven Mascaro

CoRR, 2016

2015

Reducing the risk of house loss due to wildfires.

Trent D. Penman, Ann E. Nicholson, Ross A. Bradstock, Luke Collins, S. H. Penman, Owen F. Price

Environ. Model. Softw., 2015

Structured Prediction of Sequences and Trees Using Infinite Contexts.

Ehsan Shareghi, Gholamreza Haffari, Trevor Cohn, Ann E. Nicholson

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Using a New Tool to Visualize Environmental Data for Bayesian Network Modelling.

Rosa F. Ropero, Ann E. Nicholson, Kevin B. Korb

Proceedings of the Advances in Artificial Intelligence, 2015

2014

Preface.

Ann E. Nicholson, Fábio Gagliardi Cozman

Int. J. Approx. Reason., 2014

Anomaly detection in vessel tracks using Bayesian networks.

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

Int. J. Approx. Reason., 2014

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

Owen Woodberry, Jess Millett-Riley, Steve Sinclair, Ann E. Nicholson

Proceedings of the Eleventh UAI Bayesian Modeling Applications Workshop co-located with the 30th Conference on Uncertainty in Artificial Intelligence, 2014

Intrinsic Learning of Dynamic Bayesian Networks.

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

Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014

Structural Sensitivity for the Knowledge Engineering of Bayesian Networks.

David W. Albrecht, Ann E. Nicholson, Chris Whittle

Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014

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

François Petitjean, Germain Forestier, Geoffrey I. Webb, Ann E. Nicholson, Yanping Chen, Eamonn J. Keogh

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence (2013).

Ann E. Nicholson, Padhraic Smyth

CoRR, 2013

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

Lauchlin A. T. Wilkinson, Yung En Chee, Ann E. Nicholson, Pedro Quintana-Ascencio

Proceedings of the 2013 UAI Application Workshops: Big Data meet Complex Models and Models for Spatial, 2013

Scaling Log-Linear Analysis to High-Dimensional Data.

François Petitjean, Geoffrey I. Webb, Ann E. Nicholson

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012

Proximity-Based Non-uniform Abstractions for Approximate Planning.

Jiri Baum, Ann E. Nicholson, Trevor I. Dix

J. Artif. Intell. Res., 2012

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

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

Proceedings of the Ninth UAI Bayesian Modeling Applications Workshop, 2012

Causal Discovery of Dynamic Bayesian Networks.

Cora Beatriz Pérez-Ariza, Ann E. Nicholson, Kevin B. Korb, Steven Mascaro, Chao Heng Hu

Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

2011

Swarm Aggregation and Formation Control for Robots with Limited Perception.

Paulo A. Jiménez, Bijan Shirinzadeh, Denny Oetomo, Ann E. Nicholson

Int. J. Robotics Autom., 2011

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

M. Julia Flores, Ann E. Nicholson, Andrew Brunskill, Kevin B. Korb, Steven Mascaro

Artif. Intell. Medicine, 2011

2009

Generating Incomplete Data with DataZapper.

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

Proceedings of the Agents and Artificial Intelligence - International Conference, 2009

DataZapper: Generating Incomplete Datasets.

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

Proceedings of the ICAART 2009 - Proceedings of the International Conference on Agents and Artificial Intelligence, Porto, Portugal, January 19, 2009

Square Root Unscented Particle Filtering for Grid Mapping.

Simone Zandara, Ann E. Nicholson

Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009

Testing Punctuated Equilibrium Theory Using Evolutionary Activity Statistics.

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

Proceedings of the Artificial Life: Borrowing from Biology, 4th Australian Conference, 2009

2008

The Causal Interpretation of Bayesian Networks.

Kevin B. Korb, Ann E. Nicholson

Proceedings of the Innovations in Bayesian Networks: Theory and Applications, 2008

Observations from field trials with several elicitation techniques in an ecological domain.

Colette R. Thomas, Ann E. Nicholson, Barry T. Hart

Proceedings of the Sixth UAI Bayesian Modelling Applications Workshop Helsinki, 2008

Species Selection of Aging for the Sake of Diversity.

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

Proceedings of the Eleventh International Conference on the Synthesis and Simulation of Living Systems, 2008

2007

Using Bayesian belief networks for change impact analysis in architecture design.

Antony Tang, Ann E. Nicholson, Yan Jin, Jun Han

J. Syst. Softw., 2007

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

Carmel A. Pollino, Owen Woodberry, Ann E. Nicholson, Kevin B. Korb, Barry T. Hart

Environ. Model. Softw., 2007

Take Heart II: A Modular Bayesian Decision Support System.

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

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

2006

Matilda: A visual tool for modeling with Bayesian networks.

Tal Boneh, Ann E. Nicholson, Elizabeth A. Sonenberg

Int. J. Intell. Syst., 2006

Causal Discovery with Prior Information.

Rodney T. O'Donnell, Ann E. Nicholson, B. Han, Kevin B. Korb, M. J. Alam, Lucas R. Hope

Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

2005

Predicting Change Impact in Architecture Design with Bayesian Belief Networks.

Antony Tang, Yan Jin, Jun Han, Ann E. Nicholson

Proceedings of the Fifth Working IEEE / IFIP Conference on Software Architecture (WICSA 2005), 2005

Chapter 24 The Evolution of Aging.

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

Proceedings of the Recent Advances in Artificial Life, 2005

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

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

Proceedings of the Recent Advances in Artificial Life, 2005

2004

Varieties of Causal Intervention.

Kevin B. Korb, Lucas R. Hope, Ann E. Nicholson, Karl Axnick

Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

Parameterising Bayesian Networks.

Owen Woodberry, Ann E. Nicholson, Kevin B. Korb, Carmel A. Pollino

Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

Bayesian Artificial Intelligence.

Kevin B. Korb, Ann E. Nicholson

Computer science and data analysis series, Chapman & Hall, ISBN: 978-1-58488-387-6, 2004

2003

Tackling Transition: Exposing Secondary School Students to Tertiary IT Teaching and Learning.

Judy Sheard, Gordon S. Lowe, Ann E. Nicholson, Jason Ceddia

J. Inf. Technol. Educ., 2003

A Teaching Model Exploiting Cognitive Conflict Driven by a Bayesian Network.

Kaye Stacey, Liz Sonenberg, Ann E. Nicholson, Tal Boneh, Vicki Steinle

Proceedings of the User Modeling 2003, 2003

2001

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

Ann E. Nicholson, Tal Boneh, Tim A. Wilkin, Kaye Stacey, Liz Sonenberg, Vicki Steinle

Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

Seabreeze Prediction Using Bayesian Networks.

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

Proceedings of the Knowledge Discovery and Data Mining, 2001

Suicide as an Evolutionarily Stable Strategy.

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

Proceedings of the Advances in Artificial Life, 6th European Conference, 2001

Information-Theoretic Advisors in Invisible Chess.

Ariel E. Bud, David W. Albrecht, Ann E. Nicholson, Ingrid Zukerman

Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001

2000

Trading Off Granularity against Complexity.

Ingrid Zukerman, David W. Albrecht, Ann E. Nicholson, Krystyna Doktor

Proceedings of the PRICAI 2000, Topics in Artificial Intelligence, 6th Pacific Rim International Conference on Artificial Intelligence, Melbourne, Australia, August 28, 2000

Efficient Inference in Dynamic Belief Networks with Variable Temporal Resolution.

Tim A. Wilkin, Ann E. Nicholson

Proceedings of the PRICAI 2000, Topics in Artificial Intelligence, 6th Pacific Rim International Conference on Artificial Intelligence, Melbourne, Australia, August 28, 2000

1999

Bayesian Poker.

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

Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

A hybrid architecture for strategically complex imperfect information games.

Ariel E. Bud, Ann E. Nicholson, Ingrid Zukerman, David W. Albrecht

Proceedings of the Third International Conference on Knowledge-Based Intelligent Information Engineering Systems, 1999

Pre-sending Documents on the WWW: A Comparative Study.

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

Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Arc Weights for Approximate Evaluation of Dynamic Belief Networks.

Nathalie Jitnah, Ann E. Nicholson

Proceedings of the Advanced Topics in Artificial Intelligence, 1999

Bayesian Reasoning for Diagnosing Student Misconceptions about Decimals.

Elise Dettmann, Ann E. Nicholson, Liz Sonenberg, Kaye Stacey, Vicki Steinle

Proceedings of the Advanced Topics in Artificial Intelligence, 1999

1998

Bayesian Models for Keyhole Plan Recognition in an Adventure Game.

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

User Model. User Adapt. Interact., 1998

A Decision-Theoretic Approach for Pre-sending Information on the WWW.

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

Proceedings of the PRICAI'98, 1998

Using Mutual Information to Determine Relevance in Bayesian Networks.

Ann E. Nicholson, Nathalie Jitnah

Proceedings of the PRICAI'98, 1998

Dynamic Non-uniform Abstractions for Approximate Planning in Large Structured Stochastic Domains.

Jiri Baum, Ann E. Nicholson

Proceedings of the PRICAI'98, 1998

Knowledge Acquisition for Goal Prediction in a Multi-user Adventure Game.

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

Proceedings of the Research and Development in Knowledge Discovery and Data Mining, 1998

1997

A Best-First Search Method for Anytime Evaluation of Belief Networks.

Nathalie Jitnah, Ann E. Nicholson

Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

Scheduling Trains with Genetic Algorithms.

Ariel E. Bud, Ann E. Nicholson

Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

treeNets: A Framework for Anytime Evaluation of Belief Networks.

Nathalie Jitnah, Ann E. Nicholson

Proceedings of the Qualitative and Quantitative Practical Reasoning, 1997

Methodologies for teaching new programming languages: a case study teaching LISP.

Ann E. Nicholson, K. M. Fraser

Proceedings of the ACM SIGCSE 2nd Australasian Conference on Computer Science Education, 1997

1996

Fall Diagnosis using Dynamic Belief Networks.

Ann E. Nicholson

Proceedings of the PRICAI'96: Topics in Artificial Intelligence, 1996

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

Nathalie Jitnah, Ann E. Nicholson

Proceedings of the Learning and Reasoning with Complex Representations, 1996

1995

Planning under Time Constraints in Stochastic Domains.

Thomas L. Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson

Artif. Intell., 1995

1994

Dynamic Belief Networks for Discrete Monitoring.

Ann E. Nicholson, J. Michael Brady

IEEE Trans. Syst. Man Cybern. Syst., 1994

1993

Deliberation Scheduling for Time-Critical Sequential Decision Making.

Thomas L. Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson

Proceedings of the UAI '93: Proceedings of the Ninth Annual Conference on Uncertainty in Artificial Intelligence, 1993

Planning With Deadlines in Stochastic Domains.

Thomas L. Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson

Proceedings of the 11th National Conference on Artificial Intelligence. Washington, 1993

1992

Sensor Validation Using Dynamic Belief Networks.

Ann E. Nicholson, J. Michael Brady

Proceedings of the UAI '92: Proceedings of the Eighth Annual Conference on Uncertainty in Artificial Intelligence, 1992

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

Ann E. Nicholson, Michael Brady

Proceedings of the 10th European Conference on Artificial Intelligence, 1992