| Advances in Bayesian network learning using integer programming M Bartlett, J Cussens Twenty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI 13 …, 2013 | 123 | 2013 |
| Integer linear programming for the Bayesian network structure learning problem M Bartlett, J Cussens Artificial Intelligence 244, 258-271, 2017 | 118 | 2017 |
| The temporal knapsack problem and its solution M Bartlett, AM Frisch, Y Hamadi, I Miguel, SA Tarim, C Unsworth International conference on integration of artificial intelligence (AI) and …, 2005 | 50 | 2005 |
| Maximum likelihood pedigree reconstruction using integer linear programming J Cussens, M Bartlett, EM Jones, NA Sheehan Genetic epidemiology 37 (1), 69-83, 2013 | 47 | 2013 |
| Does good ESG lead to better financial performances by firms? Machine learning and logistic regression models of public enterprises in Europe C De Lucia, P Pazienza, M Bartlett Sustainability 12 (13), 5317, 2020 | 36 | 2020 |
| Bayesian network structure learning with integer programming: Polytopes, facets and complexity J Cussens, M Järvisalo, JH Korhonen, M Bartlett Journal of Artificial Intelligence Research 58, 185-229, 2017 | 36 | 2017 |
| Landscape gene flow, coexistence and threshold effect: the case of genetically modified herbicide tolerant oilseed rape (Brassica napus) MG Ceddia, M Bartlett, C Perrings Ecological Modelling 205 (1-2), 169-180, 2007 | 36 | 2007 |
| Quantifying the effect of buffer zones, crop areas and spatial aggregation on the externalities of genetically modified crops at landscape level MG Ceddia, M Bartlett, C Perrings Agriculture, ecosystems & environment 129 (1-3), 65-72, 2009 | 27 | 2009 |
| On the regulation of spatial externalities: coexistence between GM and conventional crops in the EU and the ‘newcomer principle’ MG Ceddia, M Bartlett, C De Lucia, C Perrings Australian Journal of Agricultural and Resource Economics 55 (1), 126-143, 2011 | 19 | 2011 |
| The role of environment structure in multi-agent simulations of language evolution M Bartlett, D Kazakov Proceedings of the Fourth Symposium on Adaptive Agents and Multi-Agent …, 2004 | 19 | 2004 |
| The origins of syntax: from navigation to language M Bartlett, D Kazakov Connection Science 17 (3-4), 271-288, 2005 | 16 | 2005 |
| Implementing a biofuel economy in the EU: Lessons from the SUSTOIL project and future perspectives for next generation biofuels C De Lucia, M Bartlett Renewable and Sustainable Energy Reviews 29, 22-30, 2014 | 15 | 2014 |
| Guaranteed loop bound identification from program traces for WCET M Bartlett, I Bate, D Kazakov 2009 15th IEEE Real-Time and Embedded Technology and Applications Symposium …, 2009 | 15 | 2009 |
| Improved maximum likelihood reconstruction of complex multi-generational pedigrees NA Sheehan, M Bartlett, J Cussens Theoretical population biology 97, 11-19, 2014 | 14 | 2014 |
| Cooperative navigation and the faculty of language D Kazakov, M Bartlett Applied Artificial Intelligence 18 (9-10), 885-901, 2004 | 13 | 2004 |
| Hierarchical agglomerative clustering for cross-language information retrieval R Alfred, D Kazakov, M Bartlett, E Paskaleva Int J Transl 19 (1), 139-162, 2007 | 11 | 2007 |
| A multi-agent simulation of the evolution of language D Kazakov, M Bartlett Proceedings of Information Society Conference IS, 39-41, 2002 | 10 | 2002 |
| Instruction cache prediction using Bayesian networks M Bartlett, I Bate, J Cussens ECAI 2010, 1099-1100, 2010 | 7 | 2010 |
| Hierarchical agglomerative clustering of English-Bulgarian parallel Corpora R Alfred, E Paskaleva, D Kazakov, M Bartlett RECENT ADVANCES IN NATURAL LANGUAGE PROCESSING, 24, 2007 | 7 | 2007 |
| Learning Bayesian networks for improved instruction cache analysis M Bartlett, I Bate, J Cussens 2010 Ninth International Conference on Machine Learning and Applications …, 2010 | 5 | 2010 |
James CussensSenior Lecturer in Computer Science, University of BristolVerified email at bristol.ac.uk
