Ann E. Nicholson

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 16

Top Topics

Gaussian Graphical Models

Knowledge Engineering

Conditional Dependencies

Top Venues

Int. J. Approx. Reason.

Environ. Model. Softw.

Publications

Steven Mascaro, Owen Woodberry, Yue Wu, Ann E. Nicholson
The practice of qualitative parameterisation in the development of Bayesian networks. CoRR (2024)
Steven Mascaro, Yue Wu, Ross Pearson, Owen Woodberry, Jessica Ramsay, Tom Snelling, Ann E. Nicholson
Causal knowledge engineering: A case study from COVID-19. CoRR (2024)
Md. Samiullah, Ann E. Nicholson, David W. Albrecht
Shareable and Inheritable Incremental Compilation in iOOBN. PRICAI (2) (2023)
Md. Samiullah, Ann E. Nicholson, David W. Albrecht
Automated construction of an Object-Oriented Bayesian Network (OOBN) Class Hierarchy. ICTAI (2022)
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
BARD: A structured technique for group elicitation of Bayesian networks to support analytic reasoning. CoRR (2020)
Yue Wu, Charlie McLeod, Christopher C. Blyth, Asha Bowen, Andrew Martin, Ann E. Nicholson, Steven Mascaro, Tom Snelling
Predicting the causative pathogen among children with osteomyelitis using Bayesian networks - improving antibiotic selection in clinical practice. Artif. Intell. Medicine 107 (2020)
Sue Moon, Ann E. Nicholson, Abhik Roychoudhury
Welcome. Commun. ACM 63 (4) (2020)
Mohammad S. Rahman, Ann E. Nicholson, Gholamreza Haffari
Inferring Two-Level Hierarchical Gaussian Graphical Models to Discover Shared and Context-Specific Conditional Dependencies from High-Dimensional Heterogeneous Data. SN Comput. Sci. 1 (4) (2020)
Mónica Borunda, Raul Garduño Ramírez, Ann E. Nicholson, Javier de la Cruz
Assessment of Small-Scale Wind Turbines to Meet High-Energy Demand in Mexico with Bayesian Decision Networks. MICAI (2019)
Mohammad S. Rahman, Ann E. Nicholson, Gholamreza Haffari
HetFHMM: A Novel Approach to Infer Tumor Heterogeneity Using Factorial Hidden Markov Models. J. Comput. Biol. 25 (2) (2018)
Mónica Borunda, Ann E. Nicholson, Raul Garduño Ramírez, Hoss Sadafi
On the Modelling of the Energy System of a Country for Decision Making Using Bayesian Artificial Intelligence - A Case Study for Mexico. MICAI (2) (2018)
Md. Samiullah, Thao Xuan Hoang, David W. Albrecht, Ann E. Nicholson, Kevin B. Korb
iOOBN: A Bayesian Network Modelling Tool Using Object Oriented Bayesian Networks with Inheritance. ICTAI (2017)
Xuhui Zhang, Kevin B. Korb, Ann E. Nicholson, Steven Mascaro
Applying Dependency Patterns in Causal Discovery of Latent Variable Models. ACALCI (2017)
Yung En Chee, Lauchlin A. T. Wilkinson, Ann E. Nicholson, Pedro Quintana-Ascencio, John E. Fauth, Dianne Hall, Kimberli J. Ponzio, Libby Rumpff
Modelling spatial and temporal changes with GIS and Spatial and Dynamic Bayesian Networks. Environ. Model. Softw. 82 (2016)
François Petitjean, Germain Forestier, Geoffrey I. Webb, Ann E. Nicholson, Yanping Chen, Eamonn J. Keogh
Faster and more accurate classification of time series by exploiting a novel dynamic time warping averaging algorithm. Knowl. Inf. Syst. 47 (1) (2016)
Xuhui Zhang, Kevin B. Korb, Ann E. Nicholson, Steven Mascaro
Latent Variable Discovery Using Dependency Patterns. CoRR (2016)
Ehsan Shareghi, Gholamreza Haffari, Trevor Cohn, Ann E. Nicholson
Structured Prediction of Sequences and Trees using Infinite Contexts. CoRR (2015)
Rosa F. Ropero, Ann E. Nicholson, Kevin B. Korb
Using a New Tool to Visualize Environmental Data for Bayesian Network Modelling. CAEPIA (2015)
Ehsan Shareghi, Gholamreza Haffari, Trevor Cohn, Ann E. Nicholson
Structured Prediction of Sequences and Trees Using Infinite Contexts. ECML/PKDD (2) (2015)
Trent D. Penman, Ann E. Nicholson, Ross A. Bradstock, Luke Collins, S. H. Penman, Owen F. Price
Reducing the risk of house loss due to wildfires. Environ. Model. Softw. 67 (2015)
Alex Black, Kevin B. Korb, Ann E. Nicholson
Intrinsic Learning of Dynamic Bayesian Networks. PRICAI (2014)
Ann E. Nicholson, Fábio Gagliardi Cozman
Preface. Int. J. Approx. Reason. 55 (1) (2014)
David W. Albrecht, Ann E. Nicholson, Chris Whittle
Structural Sensitivity for the Knowledge Engineering of Bayesian Networks. Probabilistic Graphical Models (2014)
François Petitjean, Germain Forestier, Geoffrey I. Webb, Ann E. Nicholson, Yanping Chen, Eamonn J. Keogh
Dynamic Time Warping Averaging of Time Series Allows Faster and More Accurate Classification. ICDM (2014)
Jiri Baum, Ann E. Nicholson, Trevor I. Dix
Proximity-Based Non-uniform Abstractions for Approximate Planning. CoRR (2014)
Owen Woodberry, Jess Millett-Riley, Steve Sinclair, Ann E. Nicholson
An Object-Oriented Dynamic Bayesian Decision Network Model for Grasslands Adaptive Management. BMA@UAI (2014)
Steven Mascaro, Ann E. Nicholson, Kevin B. Korb
Anomaly detection in vessel tracks using Bayesian networks. Int. J. Approx. Reason. 55 (1) (2014)
Ann E. Nicholson, Tal Boneh, Tim A. Wilkin, Kaye Stacey, Liz Sonenberg, Vicki Steinle
A Case Study in Knowledge Discovery and Elicitation in an Intelligent Tutoring Application CoRR (2013)
Lauchlin A. T. Wilkinson, Yung En Chee, Ann E. Nicholson, Pedro Quintana-Ascencio
An Object-oriented Spatial and Temporal Bayesian Network for Managing Willows in an American Heritage River Catchment. UAI Application Workshops (2013)
Ann E. Nicholson, J. Michael Brady
Sensor Validation Using Dynamic Belief Networks CoRR (2013)
François Petitjean, Geoffrey I. Webb, Ann E. Nicholson
Scaling Log-Linear Analysis to High-Dimensional Data. ICDM (2013)
Kevin B. Korb, Ann E. Nicholson, Nathalie Jitnah
Bayesian Poker CoRR (2013)
Thomas L. Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson
Deliberation Scheduling for Time-Critical Sequential Decision Making CoRR (2013)
Ann E. Nicholson, Padhraic Smyth
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence (2013). CoRR (2013)
Jiri Baum, Ann E. Nicholson, Trevor I. Dix
Proximity-Based Non-uniform Abstractions for Approximate Planning. J. Artif. Intell. Res. 43 (2012)
Ann E. Nicholson, Yung En Chee, Pedro Quintana-Ascencio
A State-Transition DBN for Management of Willows in an American Heritage River Catchment. BMA (2012)
Cora Beatriz Pérez-Ariza, Ann E. Nicholson, Kevin B. Korb, Steven Mascaro, Chao Heng Hu
Causal Discovery of Dynamic Bayesian Networks. Australasian Conference on Artificial Intelligence (2012)
Paulo A. Jiménez, Bijan Shirinzadeh, Denny Oetomo, Ann E. Nicholson
Swarm Aggregation and Formation Control for Robots with Limited Perception. Int. J. Robotics Autom. 26 (3) (2011)
M. Julia Flores, Ann E. Nicholson, Andrew Brunskill, Kevin B. Korb, Steven Mascaro
Incorporating expert knowledge when learning Bayesian network structure: A medical case study. Artif. Intell. Medicine 53 (3) (2011)
Simone Zandara, Ann E. Nicholson
Square Root Unscented Particle Filtering for Grid Mapping. Australasian Conference on Artificial Intelligence (2009)
Owen Woodberry, Kevin B. Korb, Ann E. Nicholson
Testing Punctuated Equilibrium Theory Using Evolutionary Activity Statistics. ACAL (2009)
Yingying Wen, Kevin B. Korb, Ann E. Nicholson
DataZapper: Generating Incomplete Datasets. ICAART (2009)
Yingying Wen, Kevin B. Korb, Ann E. Nicholson
Generating Incomplete Data with DataZapper. ICAART (Revised Selected Papers) (2009)
Owen Woodberry, Kevin B. Korb, Ann E. Nicholson
Species Selection of Aging for the Sake of Diversity. ALIFE (2008)
C. R. Thomas, Ann E. Nicholson, Barry T. Hart
Observations from field trials with several elicitation techniques in an ecological domain. BMA (2008)
Antony Tang, Ann E. Nicholson, Yan Jin, Jun Han
Using Bayesian belief networks for change impact analysis in architecture design. J. Syst. Softw. 80 (1) (2007)
Kevin B. Korb, Ann E. Nicholson, Lucas R. Hope
Take Heart II: A Modular Bayesian Decision Support System. ACSW (2007)
Carmel A. Pollino, Owen Woodberry, Ann E. Nicholson, Kevin B. Korb, Barry T. Hart
Parameterisation and evaluation of a Bayesian network for use in an ecological risk assessment. Environ. Model. Softw. 22 (8) (2007)
Rodney T. O'Donnell, Ann E. Nicholson, B. Han, Kevin B. Korb, M. J. Alam, Lucas R. Hope
Causal Discovery with Prior Information. Australian Conference on Artificial Intelligence (2006)
Tal Boneh, Ann E. Nicholson, Elizabeth A. Sonenberg
Matilda: A visual tool for modeling with Bayesian networks. Int. J. Intell. Syst. 21 (11) (2006)
Antony Tang, Yan Jin, Jun Han, Ann E. Nicholson
Predicting Change Impact in Architecture Design with Bayesian Belief Networks. WICSA (2005)
Kevin B. Korb, Lucas R. Hope, Ann E. Nicholson, Karl Axnick
Varieties of Causal Intervention. PRICAI (2004)
Owen Woodberry, Ann E. Nicholson, Kevin B. Korb, Carmel A. Pollino
Parameterising Bayesian Networks. Australian Conference on Artificial Intelligence (2004)
Kaye Stacey, Liz Sonenberg, Ann E. Nicholson, Tal Boneh, Vicki Steinle
A Teaching Model Exploiting Cognitive Conflict Driven by a Bayesian Network. User Modeling (2003)
Judy Sheard, Gordon S. Lowe, Ann E. Nicholson, Jason Ceddia
Tackling Transition: Exposing Secondary School Students to Tertiary IT Teaching and Learning. J. Inf. Technol. Educ. 2 (2003)
Steven Mascaro, Kevin B. Korb, Ann E. Nicholson
Suicide as an Evolutionarily Stable Strategy. ECAL (2001)
Ann E. Nicholson, Tal Boneh, Tim A. Wilkin, Kaye Stacey, Liz Sonenberg, Vicki Steinle
A Case Study in Knowledge Discovery and Elicitation in an Intelligent Tutoring Application. UAI (2001)
Russell J. Kennett, Kevin B. Korb, Ann E. Nicholson
Seabreeze Prediction Using Bayesian Networks. PAKDD (2001)
Ariel E. Bud, David W. Albrecht, Ann E. Nicholson, Ingrid Zukerman
Information-Theoretic Advisors in Invisible Chess. AISTATS (2001)
Tim A. Wilkin, Ann E. Nicholson
Efficient Inference in Dynamic Belief Networks with Variable Temporal Resolution. PRICAI (2000)
Ingrid Zukerman, David W. Albrecht, Ann E. Nicholson, Krystyna Doktor
Trading Off Granularity against Complexity. PRICAI (2000)
David W. Albrecht, Ingrid Zukerman, Ann E. Nicholson
Pre-sending Documents on the WWW: A Comparative Study. IJCAI (1999)
Elise Dettmann, Ann E. Nicholson, Liz Sonenberg, Kaye Stacey, Vicki Steinle
Bayesian Reasoning for Diagnosing Student Misconceptions about Decimals. Australian Joint Conference on Artificial Intelligence (1999)
Ariel E. Bud, Ann E. Nicholson, Ingrid Zukerman, David W. Albrecht
A hybrid architecture for strategically complex imperfect information games. KES (1999)
Kevin B. Korb, Ann E. Nicholson, Nathalie Jitnah
Bayesian Poker. UAI (1999)
Nathalie Jitnah, Ann E. Nicholson
Arc Weights for Approximate Evaluation of Dynamic Belief Networks. Australian Joint Conference on Artificial Intelligence (1999)
David W. Albrecht, Ingrid Zukerman, Ann E. Nicholson
Bayesian Models for Keyhole Plan Recognition in an Adventure Game. User Model. User Adapt. Interact. 8 (1-2) (1998)
Ann E. Nicholson, Ingrid Zukerman, David W. Albrecht
A Decision-Theoretic Approach for Pre-sending Information on the WWW. PRICAI (1998)
David W. Albrecht, Ann E. Nicholson, Ingrid Zukerman
Knowledge Acquisition for Goal Prediction in a Multi-user Adventure Game. PAKDD (1998)
Jiri Baum, Ann E. Nicholson
Dynamic Non-uniform Abstractions for Approximate Planning in Large Structured Stochastic Domains. PRICAI (1998)
Ann E. Nicholson, Nathalie Jitnah
Using Mutual Information to Determine Relevance in Bayesian Networks. PRICAI (1998)
Nathalie Jitnah, Ann E. Nicholson
A Best-First Search Method for Anytime Evaluation of Belief Networks. ICONIP (1) (1997)
Nathalie Jitnah, Ann E. Nicholson
treeNets: A Framework for Anytime Evaluation of Belief Networks. ECSQARU-FAPR (1997)
Ann E. Nicholson, K. M. Fraser
Methodologies for teaching new programming languages: a case study teaching LISP. ACSE (1997)
Ariel E. Bud, Ann E. Nicholson
Scheduling Trains with Genetic Algorithms. ICONIP (2) (1997)
Nathalie Jitnah, Ann E. Nicholson
Belief network algorithms: A study of performance based on domain characterization. PRICAI Workshops (1996)
Ann E. Nicholson
Fall Diagnosis using Dynamic Belief Networks. PRICAI (1996)
Thomas L. Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson
Planning under Time Constraints in Stochastic Domains. Artif. Intell. 76 (1-2) (1995)
Ann E. Nicholson, J. Michael Brady
Dynamic Belief Networks for Discrete Monitoring. IEEE Trans. Syst. Man Cybern. Syst. 24 (11) (1994)
Thomas L. Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson
Planning With Deadlines in Stochastic Domains. AAAI (1993)
Thomas L. Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson
Deliberation Scheduling for Time-Critical Sequential Decision Making. UAI (1993)
Ann E. Nicholson, Michael Brady
The Data Association Problem when Monitoring Robot Vehicles Using Dynamic Belief Networks. ECAI (1992)
Ann E. Nicholson, J. Michael Brady
Sensor Validation Using Dynamic Belief Networks. UAI (1992)