Ann Nicholson
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British computer scientist
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Ann Nicholson's Degrees
- Masters Computer Science University of Oxford
- Bachelors Computer Science University of Oxford
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Why Is Ann Nicholson Influential?
(Suggest an Edit or Addition)According to Wikipedia, Professor Ann E. Nicholson , is Dean in the Faculty of Information Technology of Australia's largest university, Monash University in Melbourne. She is a researcher in the specialised area of Bayesian networks.
Ann Nicholson's Published Works
Published Works
- Bayesian Artificial Intelligence (2004) (775)
- Parameterisation and evaluation of a Bayesian network for use in an ecological risk assessment (2007) (441)
- Planning under Time Constraints in Stochastic Domains (1993) (274)
- Bayesian Artificial Intelligence, Second Edition (2010) (263)
- Planning With Deadlines in Stochastic Domains (1993) (254)
- Bayesian Models for Keyhole Plan Recognition in an Adventure Game (2004) (234)
- Dynamic Time Warping Averaging of Time Series Allows Faster and More Accurate Classification (2014) (197)
- Predicting users' requests on the WWW (1999) (181)
- Anomaly detection in vessel tracks using Bayesian networks (2014) (162)
- Dynamic Belief Networks for Discrete Monitoring (1994) (137)
- Bayesian Networks for Clinical Decision Support in Lung Cancer Care (2013) (122)
- Incorporating expert knowledge when learning Bayesian network structure: A medical case study (2011) (121)
- Faster and more accurate classification of time series by exploiting a novel dynamic time warping averaging algorithm (2016) (109)
- Varieties of Causal Intervention (2004) (104)
- Towards a Bayesian Model for Keyhole Plan Recognition in Large Domains (1997) (101)
- Using Bayesian belief networks for change impact analysis in architecture design (2007) (77)
- Pre-sending Documents on the WWW: A Comparative Study (1999) (73)
- Parameterising Bayesian Networks (2004) (71)
- Bayesian Poker (1999) (67)
- Optimal area covering using genetic algorithms (2007) (60)
- Learning Abnormal Vessel Behaviour from AIS Data with Bayesian Networks at Two Time Scales (2010) (48)
- Seabreeze Prediction Using Bayesian Networks (2001) (46)
- Sensor Validation Using Dynamic Belief Networks (1992) (45)
- Using Mutual Information to Determine Relevance in Bayesian Networks (1998) (40)
- Modelling spatial and temporal changes with GIS and Spatial and Dynamic Bayesian Networks (2016) (39)
- AI 2009: Advances in Artificial Intelligence, 22nd Australasian Joint Conference, Melbourne, Australia, December 1-4, 2009. Proceedings (2009) (39)
- Reducing the risk of house loss due to wildfires (2015) (38)
- The Data Association Problem when Monitoring Robot Vehicles Using Dynamic Belief Networks (1992) (37)
- Combining state and transition models with dynamic Bayesian networks (2011) (35)
- The dynamic chain event graph (2015) (34)
- Prediction of coffee rust disease using Bayesian networks (2012) (32)
- Monitoring discrete environments using dynamic belief networks (robotics) (1992) (31)
- Epidemiological data mining of cardiovascular Bayesian networks (2006) (29)
- Fog Forecasting for Melbourne Airport Using a Bayesian Decision Network (2015) (28)
- A Teaching Model Exploiting Cognitive Conflict Driven by a Bayesian Network (2003) (28)
- Deliberation Scheduling for Time-Critical Sequential Decision Making (1993) (26)
- Introducing Bayesian Networks (2010) (21)
- Scaling Log-Linear Analysis to High-Dimensional Data (2013) (21)
- A Case Study in Knowledge Discovery and Elicitation in an Intelligent Tutoring Application (2001) (20)
- Predicting Change Impact in Architecture Design with Bayesian Belief Networks (2005) (20)
- A Decision-Theoretic Approach for Pre-sending Information on the WWW (1998) (19)
- Toward Approximate Planning in Very Large Stochastic Domains (1994) (19)
- Using Goals to Find Plans with High Expected Utility (1993) (18)
- Evolving Ethics: The New Science of Good and Evil (2010) (17)
- Causal Discovery with Prior Information (2006) (17)
- Suicide as an Evolutionarily Stable Strategy (2001) (16)
- Fall Diagnosis using Dynamic Belief Networks (1996) (16)
- BARD: A Structured Technique for Group Elicitation of Bayesian Networks to Support Analytic Reasoning (2020) (16)
- Belief network algorithms: A study of performance based on domain characterization (1996) (15)
- Knowledge Engineering Cardiovascular Bayesian Networks from the Literature (2005) (15)
- Tackling Transition: Exposing Secondary School Students to Tertiary IT Teaching and Learning (2003) (14)
- Developing an ontology for the meteorological forecasting process (2004) (13)
- Decision Support for Clinical Cardiovascular Risk Assessment (2008) (13)
- treeNets: A Framework for Anytime Evaluation of Belief Networks (1997) (13)
- Probabilistic modeling of the relationship between socioeconomy and ecosystem services in cultural landscapes (2018) (12)
- An Object-oriented Spatial and Temporal Bayesian Network for Managing Willows in an American Heritage River Catchment (2013) (12)
- Parameterising Bayesian networks: a case study in ecological risk assessment (2005) (12)
- Dynamic Non-uniform Abstractions for Approximate Planning in Large Structured Stochastic Domains (1998) (12)
- Development of criteria for simplifying ecological risk models (2005) (11)
- Data mining cardiovascular Bayesian networks (2005) (11)
- Dealing with uncertainty in fog forecasting for major airports in Australia (2007) (9)
- Trading Off Granularity against Complexity in Predictive Models for Complex Domains (2000) (9)
- The Causal Interpretation of Bayesian Networks (2008) (8)
- Exploring Risk Judgments in a Trade Dispute Using Bayesian Networks (2014) (8)
- Chapter 13 An ALife Investigation on the Origins of Dimorphic Parental Investments (2005) (8)
- Incorporating Expert Elicited Structural Information in the CaMML Causal Discovery Program (8)
- A simulation study of the evolution of ageing (2007) (8)
- Matilda: A visual tool for modeling with Bayesian networks (2006) (7)
- Efficient Inference in Dynamic Belief Networks with Variable Temporal Resolution (2000) (7)
- Square Root Unscented Particle Filtering for Grid Mapping (2009) (7)
- Methodologies for teaching new programming languages: a case study teaching LISP (1997) (7)
- DECLARATIVE DEBUGGING OF THE PARALLEL LOGIC PROGRAMMING LANGUAGE GHC. (1988) (7)
- Fog forecasting at Melbourne airport using Bayesian networks (2007) (6)
- ALife investigation of parental investment in reproductive strategies (2002) (6)
- Trading Off Granularity against Complexity (2000) (6)
- Dynamic Bayesian Networks for semantic localization in robotics (2014) (6)
- Information-Theoretic Advisors in Invisible Chess (2001) (6)
- Knowledge Engineering Tools for Probability Elicitation (2007) (6)
- Arc Weights for Approximate Evaluation of Dynamic Belief Networks (1999) (5)
- Faster and more accurate classification of time series by exploiting a novel dynamic time warping averaging algorithm (2015) (5)
- Proximity-Based Non-uniform Abstractions for Approximate Planning (2014) (5)
- HetFHMM: A Novel Approach to Infer Tumor Heterogeneity Using Factorial Hidden Markov Models (2015) (5)
- Playing "invisible chess" with information-theoretic advisors (2001) (5)
- Causal Discovery of Dynamic Bayesian Networks (2012) (5)
- USING BAYESIAN DECISION NETWORKS TO PLAY TEXAS HOLD ’ EM POKER (2006) (5)
- Latent Variable Discovery Using Dependency Patterns (2016) (4)
- An Object-Oriented Dynamic Bayesian Decision Network Model for Grasslands Adaptive Management (2014) (4)
- Structured Prediction of Sequences and Trees Using Infinite Contexts (2015) (4)
- Structural Sensitivity for the Knowledge Engineering of Bayesian Networks (2014) (4)
- iOOBN: A Bayesian Network Modelling Tool Using Object Oriented Bayesian Networks with Inheritance (2017) (4)
- Learning and inference methodologies for hybrid dynamic Bayesian networks: a case study for a water reservoir system in Andalusia, Spain (2018) (4)
- Bridging the gaps in test interpretation of SARS-CoV-2 through Bayesian network modelling (2020) (4)
- The Evolution of Aging (2005) (4)
- A State-Transition DBN for Management of Willows in an American Heritage River Catchment (2012) (4)
- Scheduling Trains with Genetic Algorithms (1997) (4)
- Proceedings of the 2005 International Conference on Simulation and Modelling (3)
- DataZapper : A Tool for Generating Incomplete Datasets (2010) (3)
- The essential roles of emotion in cognitive architecture (2000) (3)
- Testing Punctuated Equilibrium Theory Using Evolutionary Activity Statistics (2009) (3)
- DataZapper: Generating Incomplete Datasets (2009) (3)
- ABC-BN: A tool for building, maintaining and using Bayesian networks in an environmental management application (2011) (3)
- Knowledge Engineering with Bayesian Networks (2010) (3)
- A Case Study in Dynamic Belief Networks: Monitoring Walking, Fall Prediction and Detection (1996) (3)
- Swarm Aggregation and Formation Control for Robots with Limited Perception (2011) (2)
- Individuals vs. BARD: Experimental Evaluation of an Online System for Structured, Collaborative Bayesian Reasoning (2020) (2)
- A hybrid architecture for strategically complex imperfect information games (1999) (2)
- Evaluation Methods for Learning About Users (1999) (2)
- Knowledge Acquisition for Goal Prediction in a Multi-user Adventure Game (1998) (2)
- Improving the production and evaluation of structural models using a Delphi process (2020) (2)
- A Best-First Search Method for Anytime Evaluation of Belief Networks (1997) (2)
- Matilda: A visual tool for modeling with Bayesian networks: Research Articles (2006) (2)
- Intrinsic Learning of Dynamic Bayesian Networks (2014) (2)
- Intelligent agents for an interactive multi-media game (1997) (2)
- Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence (2009) (2)
- Towards a Society of Affect-Driven Agents (1998) (2)
- Species Selection of Aging for the Sake of Diversity (2008) (1)
- Using a New Tool to Visualize Environmental Data for Bayesian Network Modelling (2015) (1)
- Inferring Two-Level Hierarchical Gaussian Graphical Models to Discover Shared and Context-Specific Conditional Dependencies from High-Dimensional Heterogeneous Data (2020) (1)
- Dynamic OOBNs applied to water management in dams (2016) (1)
- Assessment of Small-Scale Wind Turbines to Meet High-Energy Demand in Mexico with Bayesian Decision Networks (2019) (1)
- Proceedings of the Fourth Australian Women in Computing Workshop (1997) (1)
- Bayesian Reasoning for Diagnosing Student Misconceptions about Decimals (1999) (1)
- Learning Linear Causal Models (2010) (1)
- Applying Dependency Patterns in Causal Discovery of Latent Variable Models (2017) (1)
- Generating Incomplete Data with DataZapper (2009) (1)
- Belief Network Inference Algorithms: a Study of Performance Based on Domain Characterisation (1996) (1)
- Weight-directed search for anytime evaluation of belief networks (1997) (0)
- Minimal Infeasible Sets of Connections : A Representationfor E cient Assembly Sequence PlanningMaria (1997) (0)
- Knowledge-Based Assembly Modelling for Assembly Sequence Planning of Mechanical Products (2000) (0)
- Learning Causal Models (2010) (0)
- Bayesian Networks for Import Risk Assessment (2017) (0)
- How to model COVID-19 pathophysiology during lockdown: remote elicitation of causal Bayesian networks from medical experts (2021) (0)
- Planning Wit stic s (1993) (0)
- Uncertainty in artificial intelligence : proceedings of the Thirtieth Conference (2014) : July 23-27, 2014, Quebec City, Quebec, Canada (2014) (0)
- The iOOBN framework : technical details (2017) (0)
- Chapter 24 The Evolution of Aging (2005) (0)
- Uncertainty in artificial intelligence : proceedings of the Twenty-ninth Conference (2013) : July 12-14, 2013, Bellevue, Washington, United States (2013) (0)
- LDCM Safe Operations Ascent Design (2012) (0)
- Comparing individual structural models with the output from an SGRP Delphi group: Is there a significant improvement in model quality? (2018) (0)
- European Workshop on Planning ( EWSP ’ 93 ) Using Goals to Find (2007) (0)
- A probabilistic prediction-based replanning architecture for a UAV (2004) (0)
- Incorporating expert knowledge when learning Bayesian network structure : Heart failure as a case study (2010) (0)
- Observations from field trials with several elicitation techniques in an ecological domain (2008) (0)
- TakeHeart II: A tool to support clinical cardiovascular risk assessment (2007) (0)
- Time-Critical Planning and Scheduling inStochastic Domains ( Extended Abstract ) (2007) (0)
- Take Heart II: A Modular Bayesian Decision Support System (2007) (0)
- Welcome (2020) (0)
- A Review on Probabilistic Graphical Models and Tools (2022) (0)
- Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence (2013) (2013) (0)
- Open Science COVID-19 Management Using Bayesian Inference (2020) (0)
- KEBN Case Studies (2010) (0)
- Modeling COVID-19 disease processes by remote elicitation of causal Bayesian networks from medical experts (2022) (0)
- Inference in Bayesian Networks (2010) (0)
- Editorial: Applications of Bayesian networks (2014) (0)
- A tool for visualising the output of a DBN for fog forecasting (Abstract only) (2015) (0)
- What mechanisms have produced a self-regulating Earth system? (2020) (0)
- Learning Discrete Causal Structure (2010) (0)
- Bayesian Network Classifiers (2010) (0)
- Time-Critical Planning and Scheduling Research atBrown (2008) (0)
- Improving Student Engagement in Software Engineering with Computer-supported Groupwork (2012) (0)
- Preface (2014) (0)
- Uncertainty In Artificial Intelligence (2010) (0)
- BARD: A structured method and application for collaboratively building Bayesian networks to support human reasoning and decisions (2021) (0)
- LDCM Flight Dynamics System (2012) (0)
- Applications of Bayesian Networks (2010) (0)
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