Katherine Heller
Katherine Heller
Duke University
Bestätigte E-Mail-Adresse bei gatsby.ucl.ac.uk
Titel
Zitiert von
Zitiert von
Jahr
Bayesian hierarchical clustering
KA Heller, Z Ghahramani
Proceedings of the 22nd international conference on Machine learning, 297-304, 2005
3912005
One class support vector machines for detecting anomalous windows registry accesses
K Heller, K Svore, AD Keromytis, S Stolfo
2212003
Modelling reciprocating relationships with Hawkes processes
C Blundell, J Beck, KA Heller
Advances in Neural Information Processing Systems 25, 2600-2608, 2012
2012012
Bayesian sets
Z Ghahramani, KA Heller
Advances in neural information processing systems 18, 435-442, 2005
1922005
The IBP compound Dirichlet process and its application to focused topic modeling
S Williamson, C Wang, KA Heller, DM Blei
ICML, 2010
1822010
Detecting malicious software by monitoring anomalous windows registry accesses
F Apap, A Honig, S Hershkop, E Eskin, S Stolfo
International Workshop on Recent Advances in Intrusion Detection, 36-53, 2002
1752002
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
1552003
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
1512019
Bayesian and L1 Approaches to Sparse Unsupervised Learning
S Mohamed, K Heller, Z Ghahramani
1082011
Bayesian exponential family PCA
S Mohamed, Z Ghahramani, KA Heller
Advances in neural information processing systems 21, 1089-1096, 2008
1062008
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
952017
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
892005
Bayesian rose trees
C Blundell, YW Teh, KA Heller
arXiv preprint arXiv:1203.3468, 2012
882012
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
862017
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
802018
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
792015
A nonparametric bayesian approach to modeling overlapping clusters
KA Heller, Z Ghahramani
Artificial Intelligence and Statistics, 187-194, 2007
752007
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
642018
Bayesian modeling of flexible cognitive control
J Jiang, K Heller, T Egner
Neuroscience & Biobehavioral Reviews 46, 30-43, 2014
642014
Parallelizing MCMC with random partition trees
X Wang, F Guo, KA Heller, DB Dunson
arXiv preprint arXiv:1506.03164, 2015
632015
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