Bo Thiesson - RankMe

42 papers A* 4A 13C 1Journal 14Unranked 10

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	The Consequences of the Framing of Machine Learning Risk Prediction Models: Evaluation of Sepsis in General Wards. CoRR Simon Meyer Lauritsen, Bo Thiesson, Marianne Johansson Jørgensen, Anders Hammerich Riis, Ulrick Skipper Espelund, Jesper Bo Weile, Jeppe Lange
2021	J	`jnl`	The Framing of machine learning risk prediction models illustrated by evaluation of sepsis in general wards. npj Digit. Medicine Simon Meyer Lauritsen, Bo Thiesson, Marianne Johansson Jørgensen, Anders Hammerich Riis, Ulrick Skipper Espelund, Jesper Bo Weile, Jeppe Lange
2020	J	`jnl`	Early detection of sepsis utilizing deep learning on electronic health record event sequences. Artif. Intell. Medicine Simon Meyer Lauritsen, Mads Ellersgaard Kalør, Emil Lund Kongsgaard, Katrine Meyer Lauritsen, Marianne Johansson Jørgensen, Jeppe Lange, Bo Thiesson
2019	J	`jnl`	Early detection of sepsis utilizing deep learning on electronic health record event sequences. CoRR Simon Meyer Lauritsen, Mads Ellersgaard Kalør, Emil Lund Kongsgaard, Katrine Meyer Lauritsen, Marianne Johansson Jørgensen, Jeppe Lange, Bo Thiesson
2019	J	`jnl`	Explainable artificial intelligence model to predict acute critical illness from electronic health records. CoRR Simon Meyer Lauritsen, Mads Kristensen, Mathias Vassard Olsen, Morten Skaarup Larsen, Katrine Meyer Lauritsen, Marianne Johansson Jørgensen, Jeppe Lange, Bo Thiesson
2018	J	`jnl`	Utilizing Device-level Demand Forecasting for Flexibility Markets - Full Version. CoRR Bijay Neupane, Torben Bach Pedersen, Bo Thiesson
2018	—	`conf`	Utilizing Device-level Demand Forecasting for Flexibility Markets. e-Energy Bijay Neupane, Torben Bach Pedersen, Bo Thiesson
2017	C	`conf`	A Hierarchical Tree Distance Measure for Classification. ICPRAM Kent Munthe Caspersen, Martin Bjeldbak Madsen, Andreas Berre Eriksen, Bo Thiesson
2015	—	`conf`	Evaluating the Value of Flexibility in Energy Regulation Markets. e-Energy Bijay Neupane, Torben Bach Pedersen, Bo Thiesson
2015	—	`conf`	HyperSAX: Fast Approximate Search of Multidimensional Data. ICPRAM (1) Jens Emil Gydesen, Henrik Haxholm, Niels Sonnich Poulsen, Sebastian A. Wahl, Bo Thiesson
2014	A	`conf`	Discussion Graphs: Putting Social Media Analysis in Context. ICWSM Emre Kiciman, Scott Counts, Michael Gamon, Munmun De Choudhury, Bo Thiesson
2014	—	`conf`	Towards Flexibility Detection in Device-Level Energy Consumption. DARE Bijay Neupane, Torben Bach Pedersen, Bo Thiesson
2013	J	`jnl`	Learning Mixtures of DAG Models CoRR Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman
2013	J	`jnl`	Score and Information for Recursive Exponential Models with Incomplete Data CoRR Bo Thiesson
2013	J	`jnl`	Staged Mixture Modelling and Boosting CoRR Christopher Meek, Bo Thiesson, David Heckerman
2013	A	`conf`	The Bregman Variational Dual-Tree Framework. UAI Saeed Amizadeh, Bo Thiesson, Milos Hauskrecht
2013	J	`jnl`	The Bregman Variational Dual-Tree Framework. CoRR Saeed Amizadeh, Bo Thiesson, Milos Hauskrecht
2012	J	`jnl`	ARMA Time-Series Modeling with Graphical Models CoRR Bo Thiesson, David Maxwell Chickering, David Heckerman, Christopher Meek
2012	A	`conf`	Fast Variational Mode-Seeking. AISTATS Bo Thiesson, Jingu Kim
2012	—	`conf`	Non-parametric Segmentation of Regime-switching Time Series with Oblique Switching Trees. ICPRAM (2) Alexei Bocharov, Bo Thiesson
2012	J	`jnl`	Variational Dual-Tree Framework for Large-Scale Transition Matrix Approximation CoRR Saeed Amizadeh, Bo Thiesson, Milos Hauskrecht
2012	A	`conf`	Variational Dual-Tree Framework for Large-Scale Transition Matrix Approximation. UAI Saeed Amizadeh, Bo Thiesson, Milos Hauskrecht
2010	—	`conf`	Fast Large-scale Mixture Modeling with Component-specific Data Partitions. NIPS Bo Thiesson, Chong Wang
2009	—	`conf`	Designing phrase builder: a mobile real-time query expansion interface. Mobile HCI Tim Paek, Bongshin Lee, Bo Thiesson
2009	A	`conf`	Markov Topic Models. AISTATS Chong Wang, Bo Thiesson, Christopher Meek, David M. Blei
2009	A	`conf`	Searching large indexes on tiny devices: optimizing binary search with character pinning. IUI Guy Shani, Christopher Meek, Tim Paek, Bo Thiesson, Gina Danielle Venolia
2008	A*	`conf`	Search Vox: leveraging multimodal refinement and partial knowledge for mobile voice search. UIST Tim Paek, Bo Thiesson, Yun-Cheng Ju, Bongshin Lee
2007	—	`conf`	Asymmetric Gradient Boosting with Application to Spam Filtering. CEAS Jingrui He, Bo Thiesson
2007	—	`conf`	K-Best Suffix Arrays. HLT-NAACL (Short Papers) Kenneth Ward Church, Bo Thiesson, Robert Ragno
2007	A*	`conf`	The wild thing goes local. SIGIR Kenneth Ward Church, Bo Thiesson
2005	A	`conf`	Efficient Gradient Computation for Conditional Gaussian Models. AISTATS Bo Thiesson, Christopher Meek
2005	A*	`conf`	The Wild Thing. ACL Kenneth Ward Church, Bo Thiesson
2004	A	`conf`	ARMA Time-Series Modeling with Graphical Models. UAI Bo Thiesson, David Maxwell Chickering, David Heckerman, Christopher Meek
2004	—	`conf`	Image and Video Segmentation by Anisotropic Kernel Mean Shift. ECCV (2) Jue Wang, Bo Thiesson, Yingqing Xu, Michael F. Cohen
2003	A	`conf`	Discriminative Model Selection for Density Models. AISTATS Bo Thiesson, Christopher Meek
2002	A	`conf`	Staged Mixture Modelling and Boosting. UAI Christopher Meek, Bo Thiesson, David Heckerman
2002	J	`jnl`	The Learning-Curve Sampling Method Applied to Model-Based Clustering. J. Mach. Learn. Res. Christopher Meek, Bo Thiesson, David Heckerman
2001	J	`jnl`	Accelerating EM for Large Databases. Mach. Learn. Bo Thiesson, Christopher Meek, David Heckerman
2001	A	`conf`	The Learning Curve Method Applied to Clustering. AISTATS Christopher Meek, Bo Thiesson, David Heckerman
1998	A	`conf`	Learning Mixtures of DAG Models. UAI Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman
1997	A	`conf`	Score and Information for Recursive Exponential Models with Incomplete Data. UAI Bo Thiesson
1995	A*	`conf`	Accelerated Quantification of Bayesian Networks with Incomplete Data. KDD Bo Thiesson