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Number of items at this level: 22.

A

Ashby, Colin and Weir, David (2020) Leveraging HTML in free text web named entity recognition. 28th International Conference on Computational Linguistics, Barcelona, Spain (Online), December 8-13, 2020. Published in: Proceedings of the 28th International Conference on Computational Linguistics. 407-413. International Committee on Computational Linguistics, Barcelona, Spain (Online).

B

Barrett, Sam, Brooks, Nick, Quadrianto, Novi, Anderson, Simon and Nebsu, Bayu (2019) Measuring climate resilience by linking shocks to development outcomes. Climate and Development. ISSN 1756-5529

C

Chen, Xingyuan, Jin, Peng, McCarthy, Diana Frances and Carroll, John (2016) Integrating character representations into Chinese word embedding. In: Dong, Minghui, Lin, Jingxia and Tang, Xuri (eds.) Chinese lexical semantics: 17th workshop, CLSW 2016, Singapore, Singapore, May 20–22, 2016, revised selected papers. Lecture notes in computer science, 10085 . Springer International Publishing, pp. 335-349. ISBN 9783319495071

D

Dorta, Garoe, Vicente, Sara, Agapito, Lourdes, Campbell, Neill D F and Simpson, Ivor (2018) Structured uncertainty prediction networks. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, UT, USA, 18-23 June 2018. Published in: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE ISSN 1063-6919 ISBN 9781538664216

G

Gadetsky, Artyom, Struminsky, Kirill, Robinson, Christopher, Quadrianto, Novi and Vetrov, Dmitry (2020) Low-variance black-box gradient estimates for the Plackett-Luce distribution. Thirty-Fourth AAAI Conference on Artificial Intelligence, Hilton New York Midtown, New York, New York, USA, February 7-12 2020. Published in: Thirty-Fourth AAAI Conference on Artificial Intelligence. 34 (6) 10126-10135. AAAI ISSN 2159-5399 ISBN 9781577358350

Galliani, Pietro, Dezfouli, Amir, Bonilla, Edwin and Quadrianto, Novi (2017) Gray-box inference for structured Gaussian process models. Published in: Singh, Aarti and Zhu, Jerry, (eds.) Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS); Fort Lauderdale, Florida, USA; 20-22 April 2017. 54 353-361. JMLR ISSN 1938-7228

H

Heinrich, Mattias P, Simpson, Ivor J A, Papież, BartŁomiej W, Brady, Sir Michael and Schnabel, Julia A (2016) Deformable image registration by combining uncertainty estimates from supervoxel belief propagation. Medical Image Analysis, 27. pp. 57-71. ISSN 1361-8415

I

Iñurrieta, Uxoa, Díaz de Ilarraza, Arantza, Labaka, Gorka, Sarasola, Kepa, Aduriz, Itziar and Carroll, John (2016) Using linguistic data for English and Spanish verb-noun combination identification. COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, Osaka, Japan. Published in: Proceedings of the 26th International Conference on Computational Linguistics: Technical Papers. 857-867. International Committee on Computational Linguistics (ICCL) ISBN 9784879747020

J

Jordanous, Anna and Keller, Bill (2016) Modelling creativity: identifying key components through a corpus-based approach. PLoS ONE, 11 (10). pp. 1-27. ISSN 1932-6203

K

Kober, Thomas, Weeds, Julie, Reffin, Jeremy and Weir, David (2016) Improving sparse word representations with distributional inference for semantic composition. In: Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, pp. 1691-1702. ISBN 9781945626258

Kober, Thomas, Weeds, Julie, Wilkie, John, Reffin, Jeremy and Weir, David (2017) One representation per word - does it make sense for composition? Published in: Proceedings of the 1st Workshop on Sense, Concept and Entity Representations and their Applications [Valencia, Spain, 3rd-7th April 2017]. 79-90. Association for Computational Linguistics

M

Mahoney, Colin J, Simpson, Ivor J A, Nicholas, Jennifer M, Fletcher, Phillip D, Downey, Laura E, Golden, Hannah L, Clark, Camilla N, Schmitz, Nicole, Rohrer, Jonathan D, Schott, Jonathan M, Zhang, Hui, Ourselin, Sebastian, Warren, Jason D and Fox, Nick C (2015) Longitudinal diffusion tensor imaging in frontotemporal dementia. Annals of Neurology, 77 (1). pp. 33-46. ISSN 1531-8249

P

Paldi, Flora, Alver, Bonnie, Robertson, Daniel, Schalbetter, Stephanie A, Kerr, Alastair, Kelly, David A, Baxter, Jonathan, Neale, Matthew J and Marston, Adele L (2020) Convergent genes shape budding yeast pericentromeres. Nature, 582. pp. 119-123. ISSN 0028-0836

Q

Quadrianto, Novi and Sharmanska, Viktoriia (2018) Recycling privileged learning and distribution matching for fairness. 31st Annual Conference on Neural Information Processing Systems, Long Beach, California, US, 4-9 December 2017. Published in: Advances in Neural Information Processing Systems 30 (NIPS 2017). 1-12. Neural Information Processing Systems Foundation, Red Hook, NY.

Quadrianto, Novi, Sharmanska, Viktoriia and Thomas, Oliver (2019) Discovering fair representations in the data domain. CVPR 2019, Long Beach, California, US, June 15th - June 20th 2019. Published in: Conference on Computer Vision and Pattern Recognition (CVPR). 1 8219-8228. Institute of Electrical and Electronics Engineers, Los Alamitos, CA. ISSN 2575-7075 ISBN 9781728132938

R

Rühaak, Jan, Polzin, Thomas, Heldmann, Stefan, Simpson, Ivor J A, Handels, Heinz, Modersitzki, Jan and Heinrich, Mattias P (2017) Estimation of large motion in lung CT by integrating regularized keypoint correspondences into dense deformable registration. IEEE Transactions on Medical Imaging, 36 (8). pp. 1746-1757. ISSN 0278-0062

S

Schmidt, Lena, Weeds, Julie and Higgins, Julian P T (2020) Data mining in clinical trial text: transformers for classification and question answering tasks. Health Informatics, Valletta, Malta, 24th-26th February 2020. Published in: Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies. 5 83-94. Science and Technology Publications ISSN 2184-4305 ISBN 9789897583988

Sharmanska, Viktoriia and Quadrianto, Novi (2017) In the era of deep convolutional features: are attributes still useful privileged data? In: Feris, Rogerio Schmidt, Lampert, Christoph and Parikh, Devi (eds.) Visual Attributes. Advances in computer vision and pattern recognition . Springer International Publishing, Cham, Switzerland, pp. 31-48. ISBN 9783319500751

Sharmanska, Viktoriia and Quadrianto, Novi (2017) Learning using privileged information. In: Sammut, Claude and Webb, Geoffrey I (eds.) Encyclopedia of machine learning and data mining. Springer US, Boston, MA, pp. 734-737. ISBN 9781489976857

Simpson, I J A, Cardoso, M J, Modat, M, Cash, D M, Woolrich, M W, Andersson, J L R, Schnabel, J A and Ourselin, S (2015) Probabilistic non-linear registration with spatially adaptive regularisation. Medical Image Analysis, 26 (1). pp. 203-216. ISSN 1361-8415

W

Wang, Dong, Weeds, Julie and Comley, Ian (2020) Improving mental health using machine learning to assist humans in the moderation of forum posts. Health Informatics, Valletta, Malta, 24-26th February 2020. Published in: Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies. 5 187-197. Science and Technology Publications ISSN 2184-4305 ISBN 9789897583988

Y

Yamakata, Yoko, Carroll, John and Mori, Shinsuke (2017) A comparison of cooking recipe named entities between Japanese and English. Published in: Proceedings of the 9th Workshop on Multimedia for Cooking and Eating Activities (CEA2017); Melbourne, Australia; 20 August 2017. 7-12. Association for Computing Machinery ISBN 9781450352673

This list was generated on Wed Sep 27 22:20:19 2023 BST.