David H. Glass

According to our database, David H. Glass authored at least 45 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Model Variance in Neural Network Models for Forecasting Chaotic Systems.

Kevin Nolan, Mark McCartney, David H. Glass, Samuel Moore

Proceedings of the Advances in Computational Intelligence Systems, 2024

2021

Competing hypotheses and abductive inference.

David H. Glass

Ann. Math. Artif. Intell., 2021

2020

How Opinion Leaders Affect Others on Seeking Truth in a Bounded Confidence Model.

Shuwei Chen, David H. Glass, Mark McCartney

Symmetry, 2020

Detecting anomalies in sequential data augmented with new features.

Xiangzeng Kong, Yaxin Bi, David H. Glass

Artif. Intell. Rev., 2020

A Comparison of Explanatory Measures in Abductive Inference.

Jian-Dong Huang, David H. Glass, Mark McCartney

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

2019

A practical computerized decision support system for predicting the severity of Alzheimer's disease of an individual.

Magda Bucholc, Xuemei Ding, Haiying Wang, David H. Glass, Hui Wang, Girijesh Prasad, Liam P. Maguire, Anthony J. Bjourson, Paula L. McClean, Stephen Todd, David P. Finn, KongFatt Wong-Lin

Expert Syst. Appl., 2019

The robustness, link-species relationship and network properties of model food webs.

Gavin M. Abernethy, Mark McCartney, David H. Glass

Commun. Nonlinear Sci. Numer. Simul., 2019

Two-dimensional opinion dynamics in social networks with conflicting beliefs.

Shuwei Chen, David H. Glass, Mark McCartney

AI Soc., 2019

2018

An evaluation of probabilistic approaches to inference to the best explanation.

David H. Glass

Int. J. Approx. Reason., 2018

The interaction between predator strategy and prey competition in a pair of multi-predator multi-prey lattices.

Gavin M. Abernethy, Mark McCartney, David H. Glass

Commun. Nonlinear Sci. Numer. Simul., 2018

2016

A Novel Classification Framework for Evaluating Individual and Aggregate Diversity in Top-N Recommendations.

Jennifer Moody, David H. Glass

ACM Trans. Intell. Syst. Technol., 2016

A single predator multiple prey model with prey mutation.

Rory Mullan, Gavin M. Abernethy, David H. Glass, Mark McCartney

Commun. Nonlinear Sci. Numer. Simul., 2016

2015

Detecting Seismic Anomalies in Outgoing Long-Wave Radiation Data.

Xiangzeng Kong, Yaxin Bi, David H. Glass

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Species diversity and predation strategies in a multiple species predator-prey model.

Rory Mullan, David H. Glass, Mark McCartney

Commun. Nonlinear Sci. Numer. Simul., 2015

Dynamics of Conflicting Beliefs in Social Networks.

Shuwei Chen, David H. Glass, Mark McCartney

Proceedings of the Complex Networks VI, 2015

2014

Entailment and symmetry in confirmation measures of interestingness.

David H. Glass

Inf. Sci., 2014

Explanatory Inference under Uncertainty.

David H. Glass, Mark McCartney

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

Parameter Dependence in Cumulative Selection.

David H. Glass

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

Dynamics of Multidimensional Conflicting Opinions in Social Networks.

Shuwei Chen, David H. Glass, Mark McCartney

Proceedings of the European Conference on Social Intelligence (ECSI-2014), 2014

2013

Confirmation measures of association rule interestingness.

David H. Glass

Knowl. Based Syst., 2013

Bayesian Self-Organizing Map for Data Classification and Clustering.

Xiaolian Guo, Haiying Wang, David H. Glass

Int. J. Wavelets Multiresolution Inf. Process., 2013

Modelling Prey in Discrete Time Predator-Prey Systems.

Rory Mullan, David H. Glass, Mark McCartney

Proceedings of the IEEE International Conference on Systems, 2013

An Anomaly Analysis Method Based on Morphological Features.

Xiangzeng Kong, Yaxin Bi, David H. Glass

Proceedings of the IEEE International Conference on Systems, 2013

2012

Inference to the best explanation: does it track truth?

David H. Glass

Synth., 2012

A Geometric Moving Average Martingale method for detecting changes in data streams.

Xiangzeng Kong, Yaxin Bi, David H. Glass

Proceedings of the Research and Development in Intelligent Systems XXIX, 2012

A growing Bayesian self-organizing map for data clustering.

Xiaolian Guo, Haiying Wang, David H. Glass

Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

2011

The impact of learning parameters on Bayesian self-organizing maps: An empirical study.

Xiaolian Guo, Haiying Wang, David H. Glass

Proceedings of the Seventh International Conference on Natural Computation, 2011

2010

Integration of Gene Ontology-based similarities for supporting analysis of protein-protein interaction networks.

Haiying Wang, Huiru Zheng, Fiona Browne, David H. Glass, Francisco Azuaje

Pattern Recognit. Lett., 2010

User-based Collaborative Filtering: Sparsity and Performance.

Jennifer Louise Redpath, David H. Glass, Sally I. McClean, Luke Chen

Proceedings of the STAIRS 2010, 2010

Collaborative Filtering: The Aim of Recommender Systems and the Significance of User Ratings.

Jennifer Louise Redpath, David H. Glass, Sally I. McClean, Luke Chen

Proceedings of the Advances in Information Retrieval, 2010

2008

Likelihoods and Explanations in Bayesian Networks.

David H. Glass

Proceedings of the Intelligent Techniques and Tools for Novel System Architectures, 2008

Integration of Genomic Data for Inferring Protein Complexes from Global Protein-Protein Interaction Networks.

Huiru Zheng, Haiying Wang, David H. Glass

IEEE Trans. Syst. Man Cybern. Part B, 2008

Fuzzy confirmation measures.

David H. Glass

Fuzzy Sets Syst., 2008

2007

Inferring Adaptive Regulation Thresholds and Association Rules from Gene Expression Data through Combinatorial Optimization Learning.

Ignacio Ponzoni, Francisco Azuaje, Juan Carlos Augusto, David H. Glass

IEEE ACM Trans. Comput. Biol. Bioinform., 2007

Coherence measures and inference to the best explanation.

David H. Glass

Synth., 2007

2006

A split-combination approach to merging knowledge bases in possibilistic logic.

Guilin Qi, Weiru Liu, David H. Glass, David A. Bell

Ann. Math. Artif. Intell., 2006

Coherence measures and their relation to fuzzy similarity and inconsistency in knowledge bases.

David H. Glass

Artif. Intell. Rev., 2006

2005

KNN Based Evolutionary Techniques for Updating Query Cost Models.

Zhining Liao, Hui Wang, David H. Glass, Gongde Guo

Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

2004

Combining individually inconsistent prioritized knowledge bases.

Guilin Qi, Weiru Liu, David H. Glass

Proceedings of the 10th International Workshop on Non-Monotonic Reasoning (NMR 2004), 2004

Query Cost Model Constructed and Analyzed in a Dynamic Environment.

Zhining Liao, Hui Wang, David H. Glass, Gongde Guo

Proceedings of the Monitoring, Security, and Rescue Techniques in Multiagent Systems, 2004

A Split-Combination Method for Merging Inconsistent Possibilistic Knowledge Bases.

Guilin Qi, Weiru Liu, David H. Glass

Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Ninth International Conference (KR2004), 2004

Query Cost Estimated in Noisy Wide Area Environment.

Zhining Liao, Hui Wang, David H. Glass, Gongde Guo

Proceedings of the International Conference on Information and Knowledge Engineering. IKE'04, 2004

Comparing Measures of Agreement for Agent Attitudes.

Mark McCartney, David H. Glass

Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

2002

Evaluating Evidence When Making Difficult Decisions.

David A. Bell, David H. Glass

Proceedings of the International Conference on Artificial Intelligence, 2002

Coherence, Explanation, and Bayesian Networks.

David H. Glass

Proceedings of the Artificial Intelligence and Cognitive Science, 2002