Matthew Frampton
Matthew Frampton
Mimica Automation
Verified email at - Homepage
Cited by
Cited by
Common variation near CDKN1A, POLD3 and SHROOM2 influences colorectal cancer risk
MG Dunlop, SE Dobbins, SM Farrington, AM Jones, C Palles, N Whiffin, ...
Nature Genetics 44 (7), 770-776, 2012
The CALO meeting assistant system
G Tur, A Stolcke, L Voss, S Peters, D Hakkani-Tur, J Dowding, B Favre, ...
IEEE Transactions on Audio, Speech, and Language Processing 18 (6), 1601-1611, 2010
The CALO meeting speech recognition and understanding system
G Tur, A Stolcke, L Voss, J Dowding, B Favre, R Fernández, M Frampton, ...
2008 IEEE Spoken Language Technology Workshop, 69-72, 2008
Rare disruptive mutations and their contribution to the heritable risk of colorectal cancer
D Chubb, P Broderick, SE Dobbins, M Frampton, B Kinnersley, S Penegar, ...
Nature Communications 7, 2016
Genetic diagnosis of high-penetrance susceptibility for colorectal cancer (CRC) is achievable for a high proportion of familial CRC by exome sequencing
D Chubb, P Broderick, M Frampton, B Kinnersley, A Sherborne, ...
Journal of Clinical Oncology 33 (5), 426-432, 2015
Implications of polygenic risk for personalised colorectal cancer screening
M Frampton, P Law, K Litchfield, E Morris, D Kerr, C Turnbull, R Houlston
Annals of Oncology 27 (3), 2016
Variation at 3p24.1 and 6q23.3 influences the risk of Hodgkin’s lymphoma
M Frampton, MI da Silva Filho, P Broderick, H Thomsen, A Försti, ...
Nature Communications 4, 2013
Common variation at 2q22.3 (ZEB2) influences the risk of renal cancer
M Henrion, M Frampton, G Scelo, M Purdue, Y Ye, P Broderick, A Ritchie, ...
Human molecular genetics 22 (4), 825-831, 2013
Recent research advances in reinforcement learning in spoken dialogue systems
M Frampton, O Lemon
The Knowledge Engineering Review 24 (4), 375-408, 2009
Generation of Artificial FASTQ Files to Evaluate the Performance of Next-Generation Sequencing Pipelines
M Frampton, R Houlston
PLoS ONE 7 (11), e49110, 2012
Modelling and detecting decisions in multi-party dialogue
R Fernández, M Frampton, P Ehlen, M Purver, S Peters
Proceedings of the 9th SIGdial Workshop on Discourse and Dialogue, 156-163, 2008
Learning more effective dialogue strategies using limited dialogue move features
M Frampton, O Lemon
Proceedings of the 21st International Conference on Computational …, 2006
TCF12 is mutated in anaplastic oligodendroglioma
K Labreche, I Simeonova, A Kamoun, V Gleize, D Chubb, E Letouzé, ...
Nature Communications, 2015
Modeling the prevention of colorectal cancer from the combined impact of host and behavioral risk factors
M Frampton, R Houlston
Genetics in Medicine, 2016
Extracting decisions from multi-party dialogue using directed graphical models and semantic similarity
T Bui, M Frampton, J Dowding, S Peters
Proceedings of the SIGDIAL 2009 Conference, 235-243, 2009
Who is “you”? combining linguistic and gaze features to resolve second-person references in dialogue
M Frampton, R Fernández, P Ehlen, CM Christoudias, T Darrell, S Peters
Proceedings of the 12th Conference of the European Chapter of the ACL (EACL …, 2009
Common Variation at 1q24. 1 (ALDH9A1) Is a Potential Risk Factor for Renal Cancer.
MY Henrion, MP Purdue, G Scelo, P Broderick, M Frampton, A Ritchie, ...
PloS one 10 (3), e0122589-e0122589, 2015
Reinforcement learning of dialogue strategies using the user’s last dialogue act
M Frampton, O Lemon
IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems, 2005
Investigating the feasibility of tumour molecular profiling in gastrointestinal malignancies in routine clinical practice
SY Moorcraft, DG de Castro, D Cunningham, T Jones, BA Walker, ...
Annals of Oncology, 2017
Identifying relevant phrases to summarize decisions in spoken meetings
R Fernández, M Frampton, J Dowding, A Adukuzhiyil, P Ehlen, S Peters
Ninth Annual Conference of the International Speech Communication Association, 2008
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