Items where authors include "Cussens, James"

Article

Beer, David Gareth orcid.org/0000-0002-6926-4595, Wallace, Alison orcid.org/0000-0001-5088-1895, Burrows, Roger et al. (2 more authors) (2024) Valuing the manual : The demarcation of embodied practices within algorithmic decision-making processes. Social and Cultural Geography. ISSN 1464-9365 (In Press)

Ciocanel, Alexandra orcid.org/0000-0001-9550-9755, Wallace, Alison orcid.org/0000-0001-5088-1895, Beer, David Gareth orcid.org/0000-0002-6926-4595 et al. (2 more authors) (2024) Open banking and data reassurance : The case of tenant referencing in the UK. Information, Communication and Society. ISSN 1369-118X

Beer, David Gareth orcid.org/0000-0002-6926-4595, Wallace, Alison orcid.org/0000-0001-5088-1895, Ciocanel, Alexandra orcid.org/0000-0001-9550-9755 et al. (2 more authors) (2023) Automation hesitancy : Confidence deficits, established limits and notional horizons in the application of algorithms within the private rental sector in the UK. Information, Communication and Society. ISSN 1369-118X

Hatton, Chris, Paton, Lewis William orcid.org/0000-0002-3328-5634, McMillan, Dean orcid.org/0000-0002-2901-8410 et al. (3 more authors) (2019) Predicting persistent depressive symptoms in older adults : a machine learning approach to personalised mental healthcare. Journal of affective disorders. pp. 857-860. ISSN 0165-0327

Studený, Milan and Cussens, James orcid.org/0000-0002-1363-2336 (2017) Towards using the chordal graph polytope in learning decomposable models. International Journal of Approximate Reasoning. pp. 259-281. ISSN 0888-613X

Pitchford, Jonathan William orcid.org/0000-0002-8756-0902, Cussens, James orcid.org/0000-0002-1363-2336, Raseta, Marko et al. (1 more author) (2017) Integrated testing strategies can be optimal for chemical risk classification. Mathematical Biosciences. pp. 1-8. ISSN 0025-5564

Cussens, James orcid.org/0000-0002-1363-2336, Haws, David and Studený, Milan (2017) Polyhedral aspects of score equivalence in Bayesian network structure learning. Mathematical Programming. pp. 285-324. ISSN 0025-5610

Angelopoulos, Nikolaos and Cussens, James orcid.org/0000-0002-1363-2336 (2016) Distributional logic programming for Bayesian knowledge representation. International Journal of Approximate Reasoning. pp. 52-66. ISSN 0888-613X

Costa, Lilia, Smith, Jim, Nichols, Thomas et al. (3 more authors) (2015) Searching Multiregression Dynamic Models of Resting-State fMRI Networks Using Integer Programming. Bayesian Analysis. pp. 441-478. ISSN 1931-6690

Proceedings Paper

Liao, Zhenyu, Sharma, Charupriya, Cussens, James orcid.org/0000-0002-1363-2336 et al. (1 more author) (2019) Finding All Bayesian Network Structures within a Factor of Optimal. In: Proceedings of the AAAI Conference on Artificial Intelligence, 33(01). UNSPECIFIED. Proceedings of the AAAI Conference on Artificial Intelligence . AAAI Press , pp. 7892-7899.

Studeny´, Milan and Cussens, James orcid.org/0000-0002-1363-2336 (2016) The Chordal Graph Polytope for Learning Decomposable Models. In: Antonucci, Alessandro, Corani, Giorgio and Polpo de Campos, Cassio, (eds.) Proceedings of the Eighth International Conference on Probabilistic Graphical Models. UNSPECIFIED. Journal of Machine Learning Research: Workshop and Conference Proceedings . , pp. 499-510.

Cussens, James orcid.org/0000-0002-1363-2336 (2011) Bayesian network learning with cutting planes. In: Cozman, Fabio and Pfeffer, Avi, (eds.) Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011). 27th Conference on Uncertainty in Artificial Intelligence, 14-17 Jul 2011. AUAI Press , ESP , pp. 153-160.

Cussens, James orcid.org/0000-0002-1363-2336 (2008) Bayesian network learning by compiling to weighted MAX-SAT. In: McAllester, David and Myllymaki, Petri, (eds.) Proceedings of the 24th Conference on Uncertainty in Artificial Intelligence (UAI 2008). 24th Conference on Uncertainty in Artificial Intelligence, 09-12 Jul 2008. AUAI Press , FIN , pp. 105-112.