Can Black Force a Win? - David L. Dowe (J. Int. Comput. Games Assoc., 1990)

Symmetrical Chess. - David L. Dowe; Ingo Althöfer; John Roycroft (J. Int. Comput. Games Assoc., 1990)

MML Estimation of the Parameters of the Sherical Fisher Distribution. - David L. Dowe; Jonathan J. Oliver; Chris S. Wallace (ALT, 1996)

MML Mixture Modelling of Multi-state, Poisson, vonMises circular and Gaussian Distributions. - Chris S. Wallace; David L. Dowe (AISTATS, 1997)

Alignment of Low Information Sequences. - David R. Powell; Lloyd Allison; Trevor I. Dix; David L. Dowe (CATS, 1998)

The Hunter and the Hunted - Modelling the Relationship Between Web Pages and Search Engines. - David L. Dowe; Lloyd Allison; Glen Pringle (PAKDD, 1998)

Point Estimation Using the Kullback-Leibler Loss Function and MML. - David L. Dowe; Rohan A. Baxter; Jonathan J. Oliver; Chris S. Wallace (PAKDD, 1998)

Single Factor Analysis in MML Mixture Modelling. - Russell T. Edwards; David L. Dowe (PAKDD, 1998)

What is a Tall Poppy Among Web Pages? - Glen Pringle; Lloyd Allison; David L. Dowe (Comput. Networks, 1998)

Finding Cutpoints in Noisy Binary Sequences - A Revised Empirical Evaluation. - Murlikrishna Viswanathan; Chris S. Wallace; David L. Dowe; Kevin B. Korb (Australian Joint Conference on Artificial Intelligence, 1999)

Information Theoretic Approaches to Biology - Session Introduction. - David L. Dowe; Klaus Prank (Pacific Symposium on Biocomputing, 1999)

Minimum Message Length and Kolmogorov Complexity. - Chris S. Wallace; David L. Dowe (Comput. J., 1999)

Refinements of MDL and MML Coding. - Chris S. Wallace; David L. Dowe (Comput. J., 1999)

Rejoinder. - Chris S. Wallace; David L. Dowe (Comput. J., 1999)

Minimum Message Length Grouping of Ordered Data. - Leigh J. Fitzgibbon; Lloyd Allison; David L. Dowe (ALT, 2000)

Inductive Inference of Chess Player Strategy. - Anthony R. Jansen; David L. Dowe; Graham E. Farr (PRICAI, 2000)

MML clustering of multi-state, Poisson, von Mises circular and Gaussian distributions. - Chris S. Wallace; David L. Dowe (Stat. Comput., 2000)

Message Length as an Effective Ockham's Razor in Decision Tree Induction. - Scott Needham; David L. Dowe (AISTATS, 2001)

MML Clustering of Continuous-Valued Data Using Gaussian and t Distributions. - Yudi Agusta; David L. Dowe (Australian Joint Conference on Artificial Intelligence, 2002)

Message Length Formulation of Support Vector Machines for Binary Classification - A Preliminary Scheme. - Lara Kornienko; David L. Dowe; David W. Albrecht (Australian Joint Conference on Artificial Intelligence, 2002)

MML Inference of Decision Graphs with Multi-way Joins. - Peter J. Tan; David L. Dowe (Australian Joint Conference on Artificial Intelligence, 2002)

Univariate Polynomial Inference by Monte Carlo Message Length Approximation. - Leigh J. Fitzgibbon; David L. Dowe; Lloyd Allison (ICML, 2002)

Change-Point Estimation Using New Minimum Message Length Approximations. - Leigh J. Fitzgibbon; David L. Dowe; Lloyd Allison (PRICAI, 2002)

Unsupervised Learning of Correlated Multivariate Gaussian Mixture Models Using MML. - Yudi Agusta; David L. Dowe (Australian Conference on Artificial Intelligence, 2003)

MML Inference of Decision Graphs with Multi-way Joins and Dynamic Attributes. - Peter J. Tan; David L. Dowe (Australian Conference on Artificial Intelligence, 2003)

MML Inference of Oblique Decision Trees. - Peter J. Tan; David L. Dowe (Australian Conference on Artificial Intelligence, 2004)

A Preliminary MML Linear Classifier Using Principal Components for Multiple Classes. - Lara Kornienko; David W. Albrecht; David L. Dowe (Australian Conference on Artificial Intelligence, 2005)

Stock Market Simulation and Inference Technique. - McGregor J. Collie; David L. Dowe; Leigh J. Fitzgibbon (HIS, 2005)

MML Mixture Models of Heterogeneous Poisson Processes with Uniform Outliers for Bridge Deterioration. - T. Maheswaran; J. G. Sanjayan; David L. Dowe; Peter J. Tan (Australian Conference on Artificial Intelligence, 2006)

Decision Forests with Oblique Decision Trees. - Peter J. Tan; David L. Dowe (MICAI, 2006)

Minimum Message Length Clustering of Spatially-Correlated Data with Varying Inter-Class Penalties. - Gerhard Visser; David L. Dowe (ACIS-ICIS, 2007)

Tomographic Reconstruction of Images from Noisy Projections - A Preliminary Study. - A. P. Dalgleish; David L. Dowe; Imants D. Svalbe (Australian Conference on Artificial Intelligence, 2007)

Building Classification Models from Microarray Data with Tree-Based Classification Algorithms. - Peter J. Tan; David L. Dowe; Trevor I. Dix (Australian Conference on Artificial Intelligence, 2007)

Learning a Generative Model for Structural Representations. - Andrea Torsello; David L. Dowe (Australasian Conference on Artificial Intelligence, 2008)

Supervised learning of a generative model for edge-weighted graphs. - Andrea Torsello; David L. Dowe (ICPR, 2008)

Foreword re C. S. Wallace. - David L. Dowe (Comput. J., 2008)

Information-Theoretic Image Reconstruction and Segmentation from Noisy Projections. - Gerhard Visser; David L. Dowe; Imants D. Svalbe (Australasian Conference on Artificial Intelligence, 2009)

Enhancing MML Clustering Using Context Data with Climate Applications. - Gerhard Visser; David L. Dowe; Petteri Uotila (Australasian Conference on Artificial Intelligence, 2009)

Database Normalization as a By-product of Minimum Message Length Inference. - David L. Dowe; Nayyar Abbas Zaidi (Australasian Conference on Artificial Intelligence, 2010)

Measuring universal intelligence: Towards an anytime intelligence test. - José Hernández-Orallo; David L. Dowe (Artif. Intell., 2010)

Compression and Intelligence: Social Environments and Communication. - David L. Dowe; José Hernández-Orallo; Paramjit K. Das (AGI, 2011)

On More Realistic Environment Distributions for Defining, Evaluating and Developing Intelligence. - José Hernández-Orallo; David L. Dowe; Sergio España-Cubillo; M. Victoria Hernández-Lloreda; Javier Insa-Cabrera (AGI, 2011)

Comparing Humans and AI Agents. - Javier Insa-Cabrera; David L. Dowe; Sergio España-Cubillo; M. Victoria Hernández-Lloreda; José Hernández-Orallo (AGI, 2011)

Introduction to Ray Solomonoff 85th Memorial Conference. - David L. Dowe (Algorithmic Probability and Friends, 2011)

Evaluating a Reinforcement Learning Algorithm with a General Intelligence Test. - Javier Insa-Cabrera; David L. Dowe; José Hernández-Orallo (CAEPIA, 2011)

Turing Tests with Turing Machines. - José Hernández-Orallo; Javier Insa-Cabrera; David L. Dowe; Bill Hibbard (Turing-100, 2012)

3D EEG Source Localisation: A Preliminary Investigation Using MML. - Thi Han Kyaw; David L. Dowe (Australasian Conference on Artificial Intelligence, 2013)

On the universality of cognitive tests - David L. Dowe; José Hernández-Orallo (CoRR, 2013)

On Potential Cognitive Abilities in the Machine Kingdom. - José Hernández-Orallo; David L. Dowe (Minds Mach., 2013)

How universal can an intelligence test be? - David L. Dowe; José Hernández-Orallo (Adapt. Behav., 2014)

Universal psychometrics: Measuring cognitive abilities in the machine kingdom. - José Hernández-Orallo; David L. Dowe; M. Victoria Hernández-Lloreda (Cogn. Syst. Res., 2014)

Two decades of Web application testing - A survey of recent advances. - Yuan-Fang Li; Paramjit K. Das; David L. Dowe (Inf. Syst., 2014)

Observation, Communication and Intelligence in Agent-Based Systems. - Nader Chmait; David L. Dowe; David G. Green; Yuan-Fang Li (AGI, 2015)

MML inference of Finite State Automata for probabilistic spam detection. - Vidya Saikrishna; David L. Dowe; Sid Ray (ICAPR, 2015)

Factors of Collective Intelligence: How Smart Are Agent Collectives? - Nader Chmait; David L. Dowe; Yuan-Fang Li; David G. Green; Javier Insa-Cabrera (ECAI, 2016)

Computer models solving intelligence test problems: Progress and implications. - José Hernández-Orallo; Fernando Martínez-Plumed; Ute Schmid; Michael Siebers; David L. Dowe (Artif. Intell., 2016)

The IMP game: Learnability, approximability and adversarial learning beyond $Σ^0_1$. - Michael Brand; David L. Dowe (CoRR, 2016)

An Information-Theoretic Predictive Model for the Accuracy of AI Agents Adapted from Psychometrics. - Nader Chmait; David L. Dowe; Yuan-Fang Li; David G. Green (AGI, 2017)

Computer Models Solving Intelligence Test Problems: Progress and Implications (Extended Abstract). - José Hernández-Orallo; Fernando Martínez-Plumed; Ute Schmid; Michael Siebers; David L. Dowe (IJCAI, 2017)

Vein segmentation using shape-based Markov Random Fields. - Phillip G. D. Ward; Nicholas J. Ferris; Parnesh Raniga; Amanda C. L. Ng; David G. Barnes; David L. Dowe; Gary F. Egan (ISBI, 2017)

A New AI Evaluation Cosmos: Ready to Play the Game? - José Hernández-Orallo; Marco Baroni; Jordi Bieger; Nader Chmait; David L. Dowe; Katja Hofmann; Fernando Martínez-Plumed; Claes Strannegård; Kristinn R. Thórisson (AI Mag., 2017)

The IMP game: Learnability, approximability and adversarial learning beyond $$ Sigma^0_1$$. - Michael Brand; David L. Dowe (J. Log. Comput., 2017)

Accounting Results Modelling with Neural Networks: The Case of an International Oil and Gas Company. - Yang Duan; Chung-Hsing Yeh; David L. Dowe (ICONIP (2), 2018)

Combining images and anatomical knowledge to improve automated vein segmentation in MRI. - Phillip G. D. Ward; Nicholas J. Ferris; Parnesh Raniga; David L. Dowe; Amanda C. L. Ng; David G. Barnes; Gary F. Egan (NeuroImage, 2018)

Peak-Hour Rail Demand Shifting with Discrete Optimisation. - John M. Betts; David L. Dowe; Daniel Guimarans; Daniel Damir Harabor; Heshan Kumarage; Peter J. Stuckey; Michael Wybrow (CP, 2019)

Accounting method selection using neural networks and multi-criteria decision making. - Yang Duan; Chung-Hsing Yeh; David L. Dowe (HICSS, 2021)

Creating Powerful and Interpretable Models withRegression Networks. - Lachlan O'Neill; Simon D. Angus; Satya Borgohain; Nader Chmait; David L. Dowe (CoRR, 2021)

Minimum Message Length Autoregressive Moving Average Model Order Selection. - Zheng Fang; David L. Dowe; Shelton Peiris; Dedi Rosadi (CoRR, 2021)

Minimum Message Length in Hybrid ARMA and LSTM Model Forecasting. - Zheng Fang; David L. Dowe; Shelton Peiris; Dedi Rosadi (Entropy, 2021)

A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification. - Sin-Yee Yap; Junn Yong Loo; Chee-Ming Ting; Fuad Noman; Raphaël C.-W. Phan; Adeel Razi; David L. Dowe (IJCAI, 2024)

Transformer-based Deep Learning Model for Joint Routing and Scheduling with Varying Electric Vehicle Numbers. - Jun Kang Yap; Vishnu Monn Baskaran; Wen-Shan Tan; Ze Yang Ding; Hao Wang; David L. Dowe (IAS, 2025)

Joint Optimisation of Electric Vehicle Routing and Scheduling: A Deep Learning-Driven Approach for Dynamic Fleet Sizes. - Jun Kang Yap; Vishnu Monn Baskaran; Wen-Shan Tan; Ze Yang Ding; Hao Wang; David L. Dowe (CoRR, 2025)