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 | 222 | 2020 |
Integer linear programming for the Bayesian network structure learning problem M Bartlett, J Cussens Artificial Intelligence 244, 258-271, 2017 | 172 | 2017 |
Advances in Bayesian network learning using integer programming M Bartlett, J Cussens Twenty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI 13 …, 2013 | 139 | 2013 |
The temporal knapsack problem and its solution M Bartlett, AM Frisch, Y Hamadi, I Miguel, SA Tarim, C Unsworth Integration of AI and OR Techniques in Constraint Programming for …, 2005 | 63 | 2005 |
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 | 61 | 2017 |
Maximum likelihood pedigree reconstruction using integer linear programming J Cussens, M Bartlett, EM Jones, NA Sheehan Genetic epidemiology 37 (1), 69-83, 2013 | 49 | 2013 |
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 | 30 | 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 | 20 | 2011 |
The origins of syntax: from navigation to language M Bartlett, D Kazakov Connection Science 17 (3-4), 271-288, 2005 | 20 | 2005 |
The role of environment structure in multi-agent simulations of language evolution M Bartlett, D Kazakov AISB 2004 Convention, 2, 2004 | 20 | 2004 |
Comparison of international normalized ratio audit parameters in patients enrolled in GARFIELD‐AF and treated with vitamin K antagonists DA Fitzmaurice, G Accetta, S Haas, G Kayani, H Lucas Luciardi, ... British journal of haematology 174 (4), 610-623, 2016 | 19 | 2016 |
Prediction of casing critical buckling during shale gas hydraulic fracturing AI Mohammed, B Oyeneyin, M Bartlett, J Njuguna Journal of Petroleum Science and Engineering 185, 106655, 2020 | 18 | 2020 |
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 | 16 | 2014 |
Improved maximum likelihood reconstruction of complex multi-generational pedigrees NA Sheehan, M Bartlett, J Cussens Theoretical population biology 97, 11-19, 2014 | 15 | 2014 |
An application of FEA and machine learning for the prediction and optimisation of casing buckling and deformation responses in shale gas wells in an in-situ operation AI Mohammed, M Bartlett, B Oyeneyin, K Kayvantash, J Njuguna Journal of natural gas science and engineering 95, 104221, 2021 | 14 | 2021 |
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 | 14 | 2009 |
Hierarchical agglomerative clustering for cross-language information retrieval R Alfred, D Kazakov, M Bartlett, E Paskaleva Int J Transl 19 (1), 139-162, 2007 | 13 | 2007 |
Cooperative navigation and the faculty of language D Kazakov, M Bartlett Applied Artificial Intelligence 18 (9-10), 885-901, 2004 | 13 | 2004 |
A multi-agent simulation of the evolution of language D Kazakov, M Bartlett Proceedings of Information Society Conference IS, 39-41, 2002 | 11 | 2002 |