フォロー
Katherine Heller
Katherine Heller
Google Research
確認したメール アドレス: gatsby.ucl.ac.uk
タイトル
引用先
引用先
Bayesian hierarchical clustering
KA Heller, Z Ghahramani
Proceedings of the 22nd international conference on Machine learning, 297-304, 2005
4142005
Do no harm: a roadmap for responsible machine learning for health care
J Wiens, S Saria, M Sendak, M Ghassemi, VX Liu, F Doshi-Velez, K Jung, ...
Nature medicine 25 (9), 1337-1340, 2019
2952019
One class support vector machines for detecting anomalous windows registry accesses
K Heller, K Svore, AD Keromytis, S Stolfo
2442003
Underspecification presents challenges for credibility in modern machine learning
A D'Amour, K Heller, D Moldovan, B Adlam, B Alipanahi, A Beutel, ...
arXiv preprint arXiv:2011.03395, 2020
2392020
Modelling reciprocating relationships with Hawkes processes
C Blundell, J Beck, KA Heller
Advances in neural information processing systems 25, 2012
2132012
Bayesian sets
Z Ghahramani, KA Heller
Advances in neural information processing systems 18, 2005
1932005
The IBP compound Dirichlet process and its application to focused topic modeling
S Williamson, C Wang, KA Heller, DM Blei
ICML, 2010
1892010
Sequence information for the splicing of human pre-mRNA identified by support vector machine classification
XHF Zhang, KA Heller, I Hefter, CS Leslie, LA Chasin
Genome Research 13 (12), 2637-2650, 2003
1562003
Learning to detect sepsis with a multitask Gaussian process RNN classifier
J Futoma, S Hariharan, K Heller
International Conference on Machine Learning, 1174-1182, 2017
1222017
A shared vision for machine learning in neuroscience
MAT Vu, T Adalı, D Ba, G Buzsáki, D Carlson, K Heller, C Liston, C Rudin, ...
Journal of Neuroscience 38 (7), 1601-1607, 2018
1172018
Bayesian exponential family PCA
S Mohamed, Z Ghahramani, KA Heller
Advances in neural information processing systems 21, 2008
1162008
An improved multi-output gaussian process rnn with real-time validation for early sepsis detection
J Futoma, S Hariharan, K Heller, M Sendak, N Brajer, M Clement, ...
Machine Learning for Healthcare Conference, 243-254, 2017
1092017
Bayesian and L1 Approaches to Sparse Unsupervised Learning
S Mohamed, K Heller, Z Ghahramani
1072011
An insula-frontostriatal network mediates flexible cognitive control by adaptively predicting changing control demands
J Jiang, J Beck, K Heller, T Egner
Nature Communications 6 (1), 1-11, 2015
992015
Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia): A …
KM Corey, S Kashyap, E Lorenzi, SA Lagoo-Deenadayalan, K Heller, ...
PLoS medicine 15 (11), e1002701, 2018
982018
Bayesian rose trees
C Blundell, YW Teh, KA Heller
arXiv preprint arXiv:1203.3468, 2012
982012
Efficient and scalable bayesian neural nets with rank-1 factors
M Dusenberry, G Jerfel, Y Wen, Y Ma, J Snoek, K Heller, ...
International conference on machine learning, 2782-2792, 2020
942020
A comparative evaluation of two algorithms for windows registry anomaly detection
SJ Stolfo, F Apap, E Eskin, K Heller, S Hershkop, A Honig, K Svore
Journal of Computer Security 13 (4), 659-693, 2005
932005
A nonparametric bayesian approach to modeling overlapping clusters
KA Heller, Z Ghahramani
Artificial Intelligence and Statistics, 187-194, 2007
762007
R/BHC: fast Bayesian hierarchical clustering for microarray data
RS Savage, K Heller, Y Xu, Z Ghahramani, WM Truman, M Grant, ...
BMC bioinformatics 10 (1), 1-9, 2009
722009
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