| Bayesian hierarchical clustering KA Heller, Z Ghahramani Proceedings of the 22nd international conference on Machine learning, 297-304, 2005 | 377 | 2005 |
| One class support vector machines for detecting anomalous windows registry accesses K Heller, K Svore, AD Keromytis, S Stolfo | 212 | 2003 |
| Modelling reciprocating relationships with Hawkes processes C Blundell, J Beck, KA Heller Advances in neural information processing systems 25, 2600-2608, 2012 | 192 | 2012 |
| Bayesian sets Z Ghahramani, KA Heller Advances in neural information processing systems, 435-442, 2006 | 186 | 2006 |
| The IBP compound Dirichlet process and its application to focused topic modeling S Williamson, C Wang, KA Heller, DM Blei ICML, 2010 | 177 | 2010 |
| 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 | 171 | 2002 |
| 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 | 148 | 2003 |
| Bayesian and L1 Approaches to Sparse Unsupervised Learning S Mohamed, K Heller, Z Ghahramani | 106 | 2011 |
| Bayesian exponential family PCA S Mohamed, Z Ghahramani, KA Heller Advances in neural information processing systems 21, 1089-1096, 2008 | 101 | 2008 |
| 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 | 96 | 2019 |
| 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 | 87 | 2005 |
| Bayesian rose trees C Blundell, YW Teh, KA Heller arXiv preprint arXiv:1203.3468, 2012 | 85 | 2012 |
| Learning to detect sepsis with a multitask Gaussian process RNN classifier J Futoma, S Hariharan, K Heller arXiv preprint arXiv:1706.04152, 2017 | 81 | 2017 |
| An improved multi-output gaussian process rnn with real-time validation for early sepsis detection J Futoma, S Hariharan, M Sendak, N Brajer, M Clement, A Bedoya, ... arXiv preprint arXiv:1708.05894, 2017 | 74 | 2017 |
| A nonparametric bayesian approach to modeling overlapping clusters KA Heller, Z Ghahramani Artificial Intelligence and Statistics, 187-194, 2007 | 73 | 2007 |
| 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 | 72 | 2015 |
| 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 | 65 | 2018 |
| 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), 242, 2009 | 62 | 2009 |
| Bayesian modeling of flexible cognitive control J Jiang, K Heller, T Egner Neuroscience & Biobehavioral Reviews 46, 30-43, 2014 | 59 | 2014 |
| A simple Bayesian framework for content-based image retrieval KA Heller, Z Ghahramani 2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006 | 59 | 2006 |
