Matthew Frampton
Matthew Frampton
Mimica Automation
Verified email at mimica.ai - Homepage
Title
Cited by
Cited by
Year
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
2372012
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
1972010
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
1562008
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
902016
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
772015
Recent research advances in reinforcement learning in spoken dialogue systems
M Frampton, O Lemon
The Knowledge Engineering Review 24 (4), 375, 2009
612009
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
562016
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
552013
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
532013
Learning more effective dialogue strategies using limited dialogue move features
M Frampton, O Lemon
Proceedings of the 21st International Conference on Computational …, 2006
512006
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
502008
Generation of Artificial FASTQ Files to Evaluate the Performance of Next-Generation Sequencing Pipelines
M Frampton, R Houlston
PLoS ONE 7 (11), e49110, 2012
452012
TCF12 is mutated in anaplastic oligodendroglioma
K Labreche, I Simeonova, A Kamoun, V Gleize, D Chubb, E Letouzé, ...
Nature Communications, 2015
322015
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
272009
Modeling the prevention of colorectal cancer from the combined impact of host and behavioral risk factors
M Frampton, R Houlston
Genetics in Medicine, 2016
242016
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
232009
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
232005
Using dialogue acts to learn better repair strategies for spoken dialogue systems
M Frampton, O Lemon
2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008
202008
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
182015
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
182008
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Articles 1–20