Ann E. Nicholson

92 papers A* 4A 7B 14C 1Journal 32Unranked 28

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Comparing verbal, visual and combined explanations for Bayesian Network inferences. CoRR Erik P. Nyberg, Steven Mascaro, Ingrid Zukerman, Michael Wybrow, Duc-Minh Vo, Ann E. Nicholson
2025	J	`jnl`	User-centric Music Recommendations. CoRR Jaime Ramírez Castillo, M. Julia Flores, Ann E. Nicholson
2024	J	`jnl`	Causal knowledge engineering: A case study from COVID-19. CoRR Steven Mascaro, Yue Wu, Ross Pearson, Owen Woodberry, Jessica Ramsay, Tom Snelling, Ann E. Nicholson
2024	J	`jnl`	The practice of qualitative parameterisation in the development of Bayesian networks. CoRR Steven Mascaro, Owen Woodberry, Yue Wu, Ann E. Nicholson
2023	—	`conf`	Shareable and Inheritable Incremental Compilation in iOOBN. PRICAI (2) Md. Samiullah, Ann E. Nicholson, David W. Albrecht
2022	B	`conf`	Automated construction of an Object-Oriented Bayesian Network (OOBN) Class Hierarchy. ICTAI Md. Samiullah, Ann E. Nicholson, David W. Albrecht
2020	J	`jnl`	BARD: A structured technique for group elicitation of Bayesian networks to support analytic reasoning. CoRR 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
2020	J	`jnl`	Inferring Two-Level Hierarchical Gaussian Graphical Models to Discover Shared and Context-Specific Conditional Dependencies from High-Dimensional Heterogeneous Data. SN Comput. Sci. Mohammad S. Rahman, Ann E. Nicholson, Gholamreza Haffari
2020	J	`jnl`	Predicting the causative pathogen among children with osteomyelitis using Bayesian networks - improving antibiotic selection in clinical practice. Artif. Intell. Medicine Yue Wu, Charlie McLeod, Christopher C. Blyth, Asha Bowen, Andrew Martin, Ann E. Nicholson, Steven Mascaro, Tom Snelling
2020	J	`jnl`	Welcome. Commun. ACM Sue Moon, Ann E. Nicholson, Abhik Roychoudhury
2019	—	`conf`	Assessment of Small-Scale Wind Turbines to Meet High-Energy Demand in Mexico with Bayesian Decision Networks. MICAI Mónica Borunda, Raul Garduño Ramírez, Ann E. Nicholson, Javier de la Cruz
2018	J	`jnl`	HetFHMM: A Novel Approach to Infer Tumor Heterogeneity Using Factorial Hidden Markov Models. J. Comput. Biol. Mohammad S. Rahman, Ann E. Nicholson, Gholamreza Haffari
2018	—	`conf`	On the Modelling of the Energy System of a Country for Decision Making Using Bayesian Artificial Intelligence - A Case Study for Mexico. MICAI (2) Mónica Borunda, Ann E. Nicholson, Raul Garduño Ramírez, Hoss Sadafi
2017	—	`conf`	Applying Dependency Patterns in Causal Discovery of Latent Variable Models. ACALCI Xuhui Zhang, Kevin B. Korb, Ann E. Nicholson, Steven Mascaro
2017	B	`conf`	iOOBN: A Bayesian Network Modelling Tool Using Object Oriented Bayesian Networks with Inheritance. ICTAI Md. Samiullah, Thao Xuan Hoang, David W. Albrecht, Ann E. Nicholson, Kevin B. Korb
2016	J	`jnl`	Faster and more accurate classification of time series by exploiting a novel dynamic time warping averaging algorithm. Knowl. Inf. Syst. François Petitjean, Germain Forestier, Geoffrey I. Webb, Ann E. Nicholson, Yanping Chen, Eamonn J. Keogh
2016	J	`jnl`	Latent Variable Discovery Using Dependency Patterns. CoRR Xuhui Zhang, Kevin B. Korb, Ann E. Nicholson, Steven Mascaro
2016	J	`jnl`	Modelling spatial and temporal changes with GIS and Spatial and Dynamic Bayesian Networks. Environ. Model. Softw. Yung En Chee, Lauchlin A. T. Wilkinson, Ann E. Nicholson, Pedro Quintana-Ascencio, John E. Fauth, Dianne L. Hall, Kimberli J. Ponzio, Libby Rumpff
2015	J	`jnl`	Reducing the risk of house loss due to wildfires. Environ. Model. Softw. Trent D. Penman, Ann E. Nicholson, Ross A. Bradstock, Luke Collins, S. H. Penman, Owen F. Price
2015	—	`conf`	Structured Prediction of Sequences and Trees Using Infinite Contexts. ECML/PKDD (2) Ehsan Shareghi, Gholamreza Haffari, Trevor Cohn, Ann E. Nicholson
2015	J	`jnl`	Structured Prediction of Sequences and Trees using Infinite Contexts. CoRR Ehsan Shareghi, Gholamreza Haffari, Trevor Cohn, Ann E. Nicholson
2015	—	`conf`	Using a New Tool to Visualize Environmental Data for Bayesian Network Modelling. CAEPIA Rosa F. Ropero, Ann E. Nicholson, Kevin B. Korb
2014	—	`conf`	An Object-Oriented Dynamic Bayesian Decision Network Model for Grasslands Adaptive Management. BMA@UAI Owen Woodberry, Jess Millett-Riley, Steve Sinclair, Ann E. Nicholson
2014	J	`jnl`	Anomaly detection in vessel tracks using Bayesian networks. Int. J. Approx. Reason. Steven Mascaro, Ann E. Nicholson, Kevin B. Korb
2014	A*	`conf`	Dynamic Time Warping Averaging of Time Series Allows Faster and More Accurate Classification. ICDM François Petitjean, Germain Forestier, Geoffrey I. Webb, Ann E. Nicholson, Yanping Chen, Eamonn J. Keogh
2014	B	`conf`	Intrinsic Learning of Dynamic Bayesian Networks. PRICAI Alex Black, Kevin B. Korb, Ann E. Nicholson
2014	J	`jnl`	Preface. Int. J. Approx. Reason. Ann E. Nicholson, Fábio Gagliardi Cozman
2014	J	`jnl`	Proximity-Based Non-uniform Abstractions for Approximate Planning. CoRR Jiri Baum, Ann E. Nicholson, Trevor I. Dix
2014	—	`conf`	Structural Sensitivity for the Knowledge Engineering of Bayesian Networks. Probabilistic Graphical Models David W. Albrecht, Ann E. Nicholson, Chris Whittle
2013	J	`jnl`	A Case Study in Knowledge Discovery and Elicitation in an Intelligent Tutoring Application CoRR Ann E. Nicholson, Tal Boneh, Tim A. Wilkin, Kaye Stacey, Liz Sonenberg, Vicki Steinle
2013	—	`conf`	An Object-oriented Spatial and Temporal Bayesian Network for Managing Willows in an American Heritage River Catchment. UAI Application Workshops Lauchlin A. T. Wilkinson, Yung En Chee, Ann E. Nicholson, Pedro Quintana-Ascencio
2013	J	`jnl`	Bayesian Poker CoRR Kevin B. Korb, Ann E. Nicholson, Nathalie Jitnah
2013	J	`jnl`	Deliberation Scheduling for Time-Critical Sequential Decision Making CoRR Thomas L. Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson
2013	—	`ed.`	Proceedings of the Ninth UAI Bayesian Modeling Applications Workshop, Catalina Island, United States, August 18, 2012 BMA Ann E. Nicholson, John Mark Agosta, M. Julia Flores
2013	J	`jnl`	Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence (2013). CoRR Ann E. Nicholson, Padhraic Smyth
2013	A	`ed.`	Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, UAI 2013, Bellevue, WA, USA, August 11-15, 2013 UAI Ann E. Nicholson, Padhraic Smyth
2013	A*	`conf`	Scaling Log-Linear Analysis to High-Dimensional Data. ICDM François Petitjean, Geoffrey I. Webb, Ann E. Nicholson
2013	J	`jnl`	Sensor Validation Using Dynamic Belief Networks CoRR Ann E. Nicholson, J. Michael Brady
2012	—	`conf`	A State-Transition DBN for Management of Willows in an American Heritage River Catchment. BMA Ann E. Nicholson, Yung En Chee, Pedro Quintana-Ascencio
2012	—	`conf`	Causal Discovery of Dynamic Bayesian Networks. Australasian Conference on Artificial Intelligence Cora Beatriz Pérez-Ariza, Ann E. Nicholson, Kevin B. Korb, Steven Mascaro, Chao Heng Hu
2012	J	`jnl`	Proximity-Based Non-uniform Abstractions for Approximate Planning. J. Artif. Intell. Res. Jiri Baum, Ann E. Nicholson, Trevor I. Dix
2011	J	`jnl`	Incorporating expert knowledge when learning Bayesian network structure: A medical case study. Artif. Intell. Medicine M. Julia Flores, Ann E. Nicholson, Andrew Brunskill, Kevin B. Korb, Steven Mascaro
2011	J	`jnl`	Swarm Aggregation and Formation Control for Robots with Limited Perception. Int. J. Robotics Autom. Paulo A. Jiménez, Bijan Shirinzadeh, Denny Oetomo, Ann E. Nicholson
2009	—	`ed.`	AI 2009: Advances in Artificial Intelligence, 22nd Australasian Joint Conference, Melbourne, Australia, December 1-4, 2009. Proceedings Australasian Conference on Artificial Intelligence Ann E. Nicholson, Xiaodong Li
2009	B	`conf`	DataZapper: Generating Incomplete Datasets. ICAART Yingying Wen, Kevin B. Korb, Ann E. Nicholson
2009	—	`conf`	Generating Incomplete Data with DataZapper. ICAART (Revised Selected Papers) Yingying Wen, Kevin B. Korb, Ann E. Nicholson
2009	—	`conf`	Square Root Unscented Particle Filtering for Grid Mapping. Australasian Conference on Artificial Intelligence Simone Zandara, Ann E. Nicholson
2009	—	`conf`	Testing Punctuated Equilibrium Theory Using Evolutionary Activity Statistics. ACAL Owen Woodberry, Kevin B. Korb, Ann E. Nicholson
2008	—	`conf`	Observations from field trials with several elicitation techniques in an ecological domain. BMA Colette R. Thomas, Ann E. Nicholson, Barry T. Hart
2008	C	`conf`	Species Selection of Aging for the Sake of Diversity. ALIFE Owen Woodberry, Kevin B. Korb, Ann E. Nicholson
2008	—	`ch.`	The Causal Interpretation of Bayesian Networks. Innovations in Bayesian Networks Kevin B. Korb, Ann E. Nicholson
2007	J	`jnl`	Parameterisation and evaluation of a Bayesian network for use in an ecological risk assessment. Environ. Model. Softw. Carmel A. Pollino, Owen Woodberry, Ann E. Nicholson, Kevin B. Korb, Barry T. Hart
2007	—	`conf`	Take Heart II: A Modular Bayesian Decision Support System. ACSW Kevin B. Korb, Ann E. Nicholson, Lucas R. Hope
2007	J	`jnl`	Using Bayesian belief networks for change impact analysis in architecture design. J. Syst. Softw. Antony Tang, Ann E. Nicholson, Yan Jin, Jun Han
2006	—	`conf`	Causal Discovery with Prior Information. Australian Conference on Artificial Intelligence Rodney T. O'Donnell, Ann E. Nicholson, B. Han, Kevin B. Korb, M. J. Alam, Lucas R. Hope
2006	J	`jnl`	Matilda: A visual tool for modeling with Bayesian networks. Int. J. Intell. Syst. Tal Boneh, Ann E. Nicholson, Elizabeth A. Sonenberg
2005	—	`ch.`	Chapter 13 An ALife Investigation on the Origins of Dimorphic Parental Investments. Recent Advances in Artificial Life Steven Mascaro, Kevin B. Korb, Ann E. Nicholson
2005	—	`ch.`	Chapter 24 The Evolution of Aging. Recent Advances in Artificial Life Owen Woodberry, Kevin B. Korb, Ann E. Nicholson
2005	—	`conf`	Predicting Change Impact in Architecture Design with Bayesian Belief Networks. WICSA Antony Tang, Yan Jin, Jun Han, Ann E. Nicholson
2004	—	`book`	Bayesian Artificial Intelligence. Kevin B. Korb, Ann E. Nicholson
2004	—	`conf`	Parameterising Bayesian Networks. Australian Conference on Artificial Intelligence Owen Woodberry, Ann E. Nicholson, Kevin B. Korb, Carmel A. Pollino
2004	B	`conf`	Varieties of Causal Intervention. PRICAI Kevin B. Korb, Lucas R. Hope, Ann E. Nicholson, Karl Axnick
2003	—	`conf`	A Teaching Model Exploiting Cognitive Conflict Driven by a Bayesian Network. User Modeling Kaye Stacey, Liz Sonenberg, Ann E. Nicholson, Tal Boneh, Vicki Steinle
2003	J	`jnl`	Tackling Transition: Exposing Secondary School Students to Tertiary IT Teaching and Learning. J. Inf. Technol. Educ. Judy Sheard, Gordon S. Lowe, Ann E. Nicholson, Jason Ceddia
2001	A	`conf`	A Case Study in Knowledge Discovery and Elicitation in an Intelligent Tutoring Application. UAI Ann E. Nicholson, Tal Boneh, Tim A. Wilkin, Kaye Stacey, Liz Sonenberg, Vicki Steinle
2001	A	`conf`	Information-Theoretic Advisors in Invisible Chess. AISTATS Ariel E. Bud, David W. Albrecht, Ann E. Nicholson, Ingrid Zukerman
2001	B	`conf`	Seabreeze Prediction Using Bayesian Networks. PAKDD Russell J. Kennett, Kevin B. Korb, Ann E. Nicholson
2001	—	`conf`	Suicide as an Evolutionarily Stable Strategy. ECAL Steven Mascaro, Kevin B. Korb, Ann E. Nicholson
2000	B	`conf`	Efficient Inference in Dynamic Belief Networks with Variable Temporal Resolution. PRICAI Tim A. Wilkin, Ann E. Nicholson
2000	B	`conf`	Trading Off Granularity against Complexity. PRICAI Ingrid Zukerman, David W. Albrecht, Ann E. Nicholson, Krystyna Doktor
1999	B	`conf`	A hybrid architecture for strategically complex imperfect information games. KES Ariel E. Bud, Ann E. Nicholson, Ingrid Zukerman, David W. Albrecht
1999	—	`conf`	Arc Weights for Approximate Evaluation of Dynamic Belief Networks. Australian Joint Conference on Artificial Intelligence Nathalie Jitnah, Ann E. Nicholson
1999	A	`conf`	Bayesian Poker. UAI Kevin B. Korb, Ann E. Nicholson, Nathalie Jitnah
1999	—	`conf`	Bayesian Reasoning for Diagnosing Student Misconceptions about Decimals. Australian Joint Conference on Artificial Intelligence Elise Dettmann, Ann E. Nicholson, Liz Sonenberg, Kaye Stacey, Vicki Steinle
1999	A*	`conf`	Pre-sending Documents on the WWW: A Comparative Study. IJCAI David W. Albrecht, Ingrid Zukerman, Ann E. Nicholson
1998	B	`conf`	A Decision-Theoretic Approach for Pre-sending Information on the WWW. PRICAI Ann E. Nicholson, Ingrid Zukerman, David W. Albrecht
1998	J	`jnl`	Bayesian Models for Keyhole Plan Recognition in an Adventure Game. User Model. User Adapt. Interact. David W. Albrecht, Ingrid Zukerman, Ann E. Nicholson
1998	B	`conf`	Dynamic Non-uniform Abstractions for Approximate Planning in Large Structured Stochastic Domains. PRICAI Jiri Baum, Ann E. Nicholson
1998	B	`conf`	Knowledge Acquisition for Goal Prediction in a Multi-user Adventure Game. PAKDD David W. Albrecht, Ann E. Nicholson, Ingrid Zukerman
1998	B	`conf`	Using Mutual Information to Determine Relevance in Bayesian Networks. PRICAI Ann E. Nicholson, Nathalie Jitnah
1997	—	`conf`	A Best-First Search Method for Anytime Evaluation of Belief Networks. ICONIP (1) Nathalie Jitnah, Ann E. Nicholson
1997	—	`conf`	Methodologies for teaching new programming languages: a case study teaching LISP. ACSE Ann E. Nicholson, K. M. Fraser
1997	—	`conf`	Scheduling Trains with Genetic Algorithms. ICONIP (2) Ariel E. Bud, Ann E. Nicholson
1997	—	`conf`	treeNets: A Framework for Anytime Evaluation of Belief Networks. ECSQARU-FAPR Nathalie Jitnah, Ann E. Nicholson
1996	—	`conf`	Belief network algorithms: A study of performance based on domain characterization. PRICAI Workshops Nathalie Jitnah, Ann E. Nicholson
1996	B	`conf`	Fall Diagnosis using Dynamic Belief Networks. PRICAI Ann E. Nicholson
1995	J	`jnl`	Planning under Time Constraints in Stochastic Domains. Artif. Intell. Thomas L. Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson
1994	J	`jnl`	Dynamic Belief Networks for Discrete Monitoring. IEEE Trans. Syst. Man Cybern. Syst. Ann E. Nicholson, J. Michael Brady
1993	A	`conf`	Deliberation Scheduling for Time-Critical Sequential Decision Making. UAI Thomas L. Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson
1993	A*	`conf`	Planning With Deadlines in Stochastic Domains. AAAI Thomas L. Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson
1992	A	`conf`	Sensor Validation Using Dynamic Belief Networks. UAI Ann E. Nicholson, J. Michael Brady
1992	A	`conf`	The Data Association Problem when Monitoring Robot Vehicles Using Dynamic Belief Networks. ECAI Ann E. Nicholson, Michael Brady