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ORCIDAnn E. Nicholson
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- affiliation: Monash University, Faculty of Information Technology, Clayton, VIC, Australia
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2020 – today
- 2024
[i11]Steven Mascaro, Owen Woodberry, Yue Wu
, Ann E. Nicholson:
The practice of qualitative parameterisation in the development of Bayesian networks. CoRR abs/2402.12887 (2024)- [i10]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 abs/2403.14100 (2024) - 2023
- [c53]Md. Samiullah, Ann E. Nicholson, David W. Albrecht:
Shareable and Inheritable Incremental Compilation in iOOBN. PRICAI (2) 2023: 91-103 - 2022
- [c52]Md. Samiullah, Ann E. Nicholson, David W. Albrecht:
Automated construction of an Object-Oriented Bayesian Network (OOBN) Class Hierarchy. ICTAI 2022: 1382-1389 - 2020
- [j19]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: 101895 (2020) - [j18]Sue Moon, Ann E. Nicholson, Abhik Roychoudhury:
Welcome. Commun. ACM 63(4): 44-46 (2020) - [j17]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): 218 (2020) - [i9]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 abs/2003.01207 (2020)
2010 – 2019
- 2019
- [c51]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: 493-506 - 2018
- [j16]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): 182-193 (2018) - [c50]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: 30-46 - 2017
- [c49]Xuhui Zhang, Kevin B. Korb, Ann E. Nicholson, Steven Mascaro:
Applying Dependency Patterns in Causal Discovery of Latent Variable Models. ACALCI 2017: 134-143 - [c48]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: 1218-1225 - 2016
- [j15]Yung En Chee, Lauchlin A. T. Wilkinson, Ann E. Nicholson, Pedro Quintana-Ascencio, John E. Fauth, Dianne L. Hall, Kimberli J. Ponzio, Libby Rumpff:
Modelling spatial and temporal changes with GIS and Spatial and Dynamic Bayesian Networks. Environ. Model. Softw. 82: 108-120 (2016) - [j14]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): 1-26 (2016) - [i8]Xuhui Zhang, Kevin B. Korb, Ann E. Nicholson, Steven Mascaro:
Latent Variable Discovery Using Dependency Patterns. CoRR abs/1607.06617 (2016) - 2015
- [j13]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: 12-25 (2015) - [c47]Rosa F. Ropero, Ann E. Nicholson, Kevin B. Korb:
Using a New Tool to Visualize Environmental Data for Bayesian Network Modelling. CAEPIA 2015: 175-184 - [c46]Ehsan Shareghi, Gholamreza Haffari, Trevor Cohn, Ann E. Nicholson:
Structured Prediction of Sequences and Trees Using Infinite Contexts. ECML/PKDD (2) 2015: 373-389 - [i7]Ehsan Shareghi, Gholamreza Haffari, Trevor Cohn, Ann E. Nicholson:
Structured Prediction of Sequences and Trees using Infinite Contexts. CoRR abs/1503.02417 (2015) - 2014
- [j12]Ann E. Nicholson, Fábio Gagliardi Cozman:
Preface. Int. J. Approx. Reason. 55(1): 1-2 (2014) - [j11]Steven Mascaro, Ann E. Nicholson, Kevin B. Korb:
Anomaly detection in vessel tracks using Bayesian networks. Int. J. Approx. Reason. 55(1): 84-98 (2014) - [c45]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: 470-479 - [c44]David W. Albrecht, Ann E. Nicholson, Chris Whittle:
Structural Sensitivity for the Knowledge Engineering of Bayesian Networks. Probabilistic Graphical Models 2014: 1-16 - [c43]Alex Black, Kevin B. Korb, Ann E. Nicholson:
Intrinsic Learning of Dynamic Bayesian Networks. PRICAI 2014: 256-269 - [c42]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: 101 - [i6]Jiri Baum, Ann E. Nicholson, Trevor I. Dix:
Proximity-Based Non-uniform Abstractions for Approximate Planning. CoRR abs/1401.4592 (2014) - 2013
- [c41]François Petitjean, Geoffrey I. Webb, Ann E. Nicholson:
Scaling Log-Linear Analysis to High-Dimensional Data. ICDM 2013: 597-606 - [c40]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: 77-86 - [e3]Ann E. Nicholson, John Mark Agosta, M. Julia Flores:
Proceedings of the Ninth UAI Bayesian Modeling Applications Workshop, Catalina Island, United States, August 18, 2012. CEUR Workshop Proceedings 962, CEUR-WS.org 2013 [contents] - [e2]Ann E. Nicholson, Padhraic Smyth:
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, UAI 2013, Bellevue, WA, USA, August 11-15, 2013. AUAI Press 2013 [contents] - [i5]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 abs/1301.2297 (2013) - [i4]Kevin B. Korb, Ann E. Nicholson, Nathalie Jitnah:
Bayesian Poker. CoRR abs/1301.6711 (2013) - [i3]Thomas L. Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson:
Deliberation Scheduling for Time-Critical Sequential Decision Making. CoRR abs/1303.1491 (2013) - [i2]Ann E. Nicholson, J. Michael Brady:
Sensor Validation Using Dynamic Belief Networks. CoRR abs/1303.5419 (2013) - [i1]Ann E. Nicholson, Padhraic Smyth:
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence (2013). CoRR abs/1309.7971 (2013) - 2012
- [j10]Jiri Baum, Ann E. Nicholson, Trevor I. Dix:
Proximity-Based Non-uniform Abstractions for Approximate Planning. J. Artif. Intell. Res. 43: 477-522 (2012) - [c39]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: 902-913 - [c38]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: 55-64 - 2011
- [j9]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): 181-204 (2011) - [j8]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)
2000 – 2009
- 2009
- [c37]Owen Woodberry, Kevin B. Korb, Ann E. Nicholson:
Testing Punctuated Equilibrium Theory Using Evolutionary Activity Statistics. ACAL 2009: 86-95 - [c36]Simone Zandara, Ann E. Nicholson:
Square Root Unscented Particle Filtering for Grid Mapping. Australasian Conference on Artificial Intelligence 2009: 121-130 - [c35]Yingying Wen, Kevin B. Korb, Ann E. Nicholson:
DataZapper: Generating Incomplete Datasets. ICAART 2009: 69-76 - [c34]Yingying Wen, Kevin B. Korb, Ann E. Nicholson:
Generating Incomplete Data with DataZapper. ICAART (Revised Selected Papers) 2009: 110-123 - [e1]Ann E. Nicholson, Xiaodong Li:
AI 2009: Advances in Artificial Intelligence, 22nd Australasian Joint Conference, Melbourne, Australia, December 1-4, 2009. Proceedings. Lecture Notes in Computer Science 5866, Springer 2009, ISBN 978-3-642-10438-1 [contents] - 2008
- [c33]Owen Woodberry, Kevin B. Korb, Ann E. Nicholson:
Species Selection of Aging for the Sake of Diversity. ALIFE 2008: 710-716 - [c32]Colette R. Thomas, Ann E. Nicholson, Barry T. Hart:
Observations from field trials with several elicitation techniques in an ecological domain. BMA 2008 - [p3]Kevin B. Korb, Ann E. Nicholson:
The Causal Interpretation of Bayesian Networks. Innovations in Bayesian Networks 2008: 83-116 - 2007
- [j7]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): 1140-1152 (2007) - [j6]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): 127-148 (2007) - [c31]Kevin B. Korb, Ann E. Nicholson, Lucas R. Hope:
Take Heart II: A Modular Bayesian Decision Support System. ACSW 2007: 203-203 - 2006
- [j5]Tal Boneh, Ann E. Nicholson, Elizabeth A. Sonenberg:
Matilda: A visual tool for modeling with Bayesian networks. Int. J. Intell. Syst. 21(11): 1127-1150 (2006) - [c30]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: 1162-1167 - 2005
- [c29]Antony Tang, Yan Jin, Jun Han, Ann E. Nicholson:
Predicting Change Impact in Architecture Design with Bayesian Belief Networks. WICSA 2005: 67-76 - [p2]Steven Mascaro, Kevin B. Korb, Ann E. Nicholson:
Chapter 13 An ALife Investigation on the Origins of Dimorphic Parental Investments. Recent Advances in Artificial Life 2005 - [p1]Owen Woodberry, Kevin B. Korb, Ann E. Nicholson:
Chapter 24 The Evolution of Aging. Recent Advances in Artificial Life 2005 - 2004
- [b1]Kevin B. Korb, Ann E. Nicholson:
Bayesian Artificial Intelligence. Computer science and data analysis series, Chapman & Hall 2004, ISBN 978-1-58488-387-6, pp. 1-364 - [c28]Owen Woodberry, Ann E. Nicholson, Kevin B. Korb, Carmel A. Pollino:
Parameterising Bayesian Networks. Australian Conference on Artificial Intelligence 2004: 1101-1107 - [c27]Kevin B. Korb, Lucas R. Hope, Ann E. Nicholson, Karl Axnick:
Varieties of Causal Intervention. PRICAI 2004: 322-331 - 2003
- [j4]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: 165-180 (2003) - [c26]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: 352-362 - 2001
- [c25]Ariel E. Bud, David W. Albrecht, Ann E. Nicholson, Ingrid Zukerman:
Information-Theoretic Advisors in Invisible Chess. AISTATS 2001: 29-34 - [c24]Steven Mascaro, Kevin B. Korb, Ann E. Nicholson:
Suicide as an Evolutionarily Stable Strategy. ECAL 2001: 120-132 - [c23]Russell J. Kennett, Kevin B. Korb, Ann E. Nicholson:
Seabreeze Prediction Using Bayesian Networks. PAKDD 2001: 148-153 - [c22]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: 386-394 - 2000
- [c21]Ingrid Zukerman, David W. Albrecht, Ann E. Nicholson, Krystyna Doktor:
Trading Off Granularity against Complexity. PRICAI 2000: 241-251 - [c20]Tim A. Wilkin, Ann E. Nicholson:
Efficient Inference in Dynamic Belief Networks with Variable Temporal Resolution. PRICAI 2000: 264-274
1990 – 1999
- 1999
- [c19]Nathalie Jitnah, Ann E. Nicholson:
Arc Weights for Approximate Evaluation of Dynamic Belief Networks. Australian Joint Conference on Artificial Intelligence 1999: 393-404 - [c18]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: 486-487 - [c17]David W. Albrecht, Ingrid Zukerman, Ann E. Nicholson:
Pre-sending Documents on the WWW: A Comparative Study. IJCAI 1999: 1274-1279 - [c16]Ariel E. Bud, Ann E. Nicholson, Ingrid Zukerman, David W. Albrecht:
A hybrid architecture for strategically complex imperfect information games. KES 1999: 42-45 - [c15]Kevin B. Korb, Ann E. Nicholson, Nathalie Jitnah:
Bayesian Poker. UAI 1999: 343-350 - 1998
- [j3]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): 5-47 (1998) - [c14]David W. Albrecht, Ann E. Nicholson, Ingrid Zukerman:
Knowledge Acquisition for Goal Prediction in a Multi-user Adventure Game. PAKDD 1998: 1-12 - [c13]Ann E. Nicholson, Nathalie Jitnah:
Using Mutual Information to Determine Relevance in Bayesian Networks. PRICAI 1998: 399-410 - [c12]Ann E. Nicholson, Ingrid Zukerman, David W. Albrecht:
A Decision-Theoretic Approach for Pre-sending Information on the WWW. PRICAI 1998: 575-586 - [c11]Jiri Baum, Ann E. Nicholson:
Dynamic Non-uniform Abstractions for Approximate Planning in Large Structured Stochastic Domains. PRICAI 1998: 587-598 - 1997
- [c10]Ann E. Nicholson, K. M. Fraser:
Methodologies for teaching new programming languages: a case study teaching LISP. ACSE 1997: 84-90 - [c9]Nathalie Jitnah, Ann E. Nicholson:
treeNets: A Framework for Anytime Evaluation of Belief Networks. ECSQARU-FAPR 1997: 350-364 - [c8]Nathalie Jitnah, Ann E. Nicholson:
A Best-First Search Method for Anytime Evaluation of Belief Networks. ICONIP (1) 1997: 600-603 - [c7]Ariel E. Bud, Ann E. Nicholson:
Scheduling Trains with Genetic Algorithms. ICONIP (2) 1997: 1017-1020 - 1996
- [c6]Nathalie Jitnah, Ann E. Nicholson:
Belief network algorithms: A study of performance based on domain characterization. PRICAI Workshops 1996: 168-187 - [c5]Ann E. Nicholson:
Fall Diagnosis using Dynamic Belief Networks. PRICAI 1996: 206-217 - 1995
- [j2]Thomas L. Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson:
Planning under Time Constraints in Stochastic Domains. Artif. Intell. 76(1-2): 35-74 (1995) - 1994
- [j1]Ann E. Nicholson, J. Michael Brady:
Dynamic Belief Networks for Discrete Monitoring. IEEE Trans. Syst. Man Cybern. Syst. 24(11): 1593-1610 (1994) - 1993
- [c4]Thomas L. Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson:
Planning With Deadlines in Stochastic Domains. AAAI 1993: 574-579 - [c3]Thomas L. Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson:
Deliberation Scheduling for Time-Critical Sequential Decision Making. UAI 1993: 309-316 - 1992
- [c2]Ann E. Nicholson, Michael Brady:
The Data Association Problem when Monitoring Robot Vehicles Using Dynamic Belief Networks. ECAI 1992: 689-693 - [c1]Ann E. Nicholson, J. Michael Brady:
Sensor Validation Using Dynamic Belief Networks. UAI 1992: 207-214
Coauthor Index
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