| 2020 | AISTATS | On Pruning for Score-Based Bayesian Network Structure Learning. | Alvaro Henrique Chaim Correia, James Cussens, Cassio P. de Campos |
| 2019 | AAAI | Finding All Bayesian Network Structures within a Factor of Optimal. | Zhenyu A. Liao, Charupriya Sharma, James Cussens, Peter van Beek |
| 2019 | ICMLA | Online Causal Structure Learning in the Presence of Latent Variables. | Durdane Kocacoban, James Cussens |
| 2017 | IJCAI | Bayesian Network Structure Learning with Integer Programming: Polytopes, Facets and Complexity (Extended Abstract). | James Cussens, Matti Jrvisalo, Janne H. Korhonen, Mark Bartlett |
| 2013 | UAI | Advances in Bayesian Network Learning using Integer Programming. | James Cussens, Mark Bartlett |
| 2011 | ILP | Learning a Generative Failure-Free PRISM Clause. | Waleed Alsanie, James Cussens |
| 2011 | ILP | Online Bayesian Inference for the Parameters of PRISM Programs. | James Cussens |
| 2011 | UAI | Bayesian network learning with cutting planes. | James Cussens |
| 2011 | RTCSA | Probabilistic Instruction Cache Analysis Using Bayesian Networks. | Mark Bartlett, Iain Bate, James Cussens, Dimitar Kazakov |
| 2010 | ECAI | Instruction Cache Prediction Using Bayesian Networks. | Mark Bartlett, Iain Bate, James Cussens |
| 2010 | ICLP | Maximum likelihood pedigree reconstruction using integer programming. | James Cussens |
| 2010 | ICMLA | Learning Bayesian Networks for Improved Instruction Cache Analysis. | Mark Bartlett, Iain Bate, James Cussens |
| 2010 | ILP | Approximate Bayesian Computation for the Parameters of PRISM Programs. | James Cussens |
| 2008 | UAI | Bayesian network learning by compiling to weighted MAX-SAT. | James Cussens |
| 2006 | ILP | Inductive Mercury Programming. | Barnaby Fisher, James Cussens |
| 2005 | ICML | Tempering for Bayesian C&RT. | Nicos Angelopoulos, James Cussens |
| 2005 | IJCAI | Exploiting Informative Priors for Bayesian Classification and Regression Trees. | Nicos Angelopoulos, James Cussens |
| 2004 | ILP | At the Interface of Inductive Logic Programming and Statistics. | James Cussens |
| 2003 | UAI | CLP(BN): Constraint Logic Programming for Probabilistic Knowledge. | Vtor Santos Costa, David Page, Maleeha Qazi, James Cussens |
| 2001 | AISTATS | Statistical Aspects of Stochastic Logic Programs. | James Cussens |
| 2001 | UAI | Markov Chain Monte Carlo using Tree-Based Priors on Model Structure. | Nicos Angelopoulos, James Cussens |
| 2000 | CoNLL | Incorporating Linguistics Constraints into Inductive Logic Programming. | James Cussens, Stephen Pulman |
| 2000 | UAI | Stochastic Logic Programs: Sampling, Inference and Applications. | James Cussens |
| 1999 | ILP | Morphosyntactic Tagging of Slovene Using Progol. | James Cussens, Saso Dzeroski, Tomaz Erjavec |
| 1999 | UAI | Loglinear models for first-order probabilistic reasoning. | James Cussens |
| 1998 | ILP | Using Prior Probabilities and Density Estimation for Relational Classification. | James Cussens |
| 1997 | ILP | Part-of-Speech Tagging Using Progol. | James Cussens |
| 1995 | ICML | A Bayesian Analysis of Algorithms for Learning Finite Functions. | James Cussens |
| 1993 | AAAI | Generating Explicit Orderings for Non-monotonic Logics. | James Cussens, Anthony Hunter, Ashwin Srinivasan |
| 1992 | IPMU | Using Maximum Entropy in a Defeasible Logic with Probabilistic Semantics. | James Cussens, Anthony Hunter |
| 1991 | ECSQARU | Using Defeasible Logic for a Window on a Probabilistic Database: Some Preliminary Notes. | James Cussens, Anthony Hunter |