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Ann 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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last updated on 2024-09-04 00:28 CEST by the dblp team
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