Bo Thiesson

Publication Activity (10 Years)

Years Active: 1995-2021
Publications (10 Years): 10

Top Topics

Event Sequences

Hierarchical Tree

Demand Forecasting

Top Venues

Artif. Intell. Medicine

Publications

Simon Meyer Lauritsen, Bo Thiesson, Marianne Johansson Jørgensen, Anders Hammerich Riis, Ulrick Skipper Espelund, Jesper Bo Weile, Jeppe Lange
The Consequences of the Framing of Machine Learning Risk Prediction Models: Evaluation of Sepsis in General Wards. CoRR (2021)
Simon Meyer Lauritsen, Bo Thiesson, Marianne Johansson Jørgensen, Anders Hammerich Riis, Ulrick Skipper Espelund, Jesper Bo Weile, Jeppe Lange
The Framing of machine learning risk prediction models illustrated by evaluation of sepsis in general wards. npj Digit. Medicine 4 (2021)
Simon Meyer Lauritsen, Mads Ellersgaard Kalør, Emil Lund Kongsgaard, Katrine Meyer Lauritsen, Marianne Johansson Jørgensen, Jeppe Lange, Bo Thiesson
Early detection of sepsis utilizing deep learning on electronic health record event sequences. Artif. Intell. Medicine 104 (2020)
Simon Meyer Lauritsen, Mads Ellersgaard Kalør, Emil Lund Kongsgaard, Katrine Meyer Lauritsen, Marianne Johansson Jørgensen, Jeppe Lange, Bo Thiesson
Early detection of sepsis utilizing deep learning on electronic health record event sequences. CoRR (2019)
Simon Meyer Lauritsen, Mads Kristensen, Mathias Vassard Olsen, Morten Skaarup Larsen, Katrine Meyer Lauritsen, Marianne Johansson Jørgensen, Jeppe Lange, Bo Thiesson
Explainable artificial intelligence model to predict acute critical illness from electronic health records. CoRR (2019)
Bijay Neupane, Torben Bach Pedersen, Bo Thiesson
Utilizing Device-level Demand Forecasting for Flexibility Markets. e-Energy (2018)
Bijay Neupane, Torben Bach Pedersen, Bo Thiesson
Utilizing Device-level Demand Forecasting for Flexibility Markets - Full Version. CoRR (2018)
Kent Munthe Caspersen, Martin Bjeldbak Madsen, Andreas Berre Eriksen, Bo Thiesson
A Hierarchical Tree Distance Measure for Classification. ICPRAM (2017)
Bijay Neupane, Torben Bach Pedersen, Bo Thiesson
Evaluating the Value of Flexibility in Energy Regulation Markets. e-Energy (2015)
Jens Emil Gydesen, Henrik Haxholm, Niels Sonnich Poulsen, Sebastian A. Wahl, Bo Thiesson
HyperSAX: Fast Approximate Search of Multidimensional Data. ICPRAM (1) (2015)
Bijay Neupane, Torben Bach Pedersen, Bo Thiesson
Towards Flexibility Detection in Device-Level Energy Consumption. DARE (2014)
Emre Kiciman, Scott Counts, Michael Gamon, Munmun De Choudhury, Bo Thiesson
Discussion Graphs: Putting Social Media Analysis in Context. ICWSM (2014)
Christopher Meek, Bo Thiesson, David Heckerman
Staged Mixture Modelling and Boosting CoRR (2013)
Bo Thiesson
Score and Information for Recursive Exponential Models with Incomplete Data CoRR (2013)
Saeed Amizadeh, Bo Thiesson, Milos Hauskrecht
The Bregman Variational Dual-Tree Framework. UAI (2013)
Saeed Amizadeh, Bo Thiesson, Milos Hauskrecht
The Bregman Variational Dual-Tree Framework. CoRR (2013)
Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman
Learning Mixtures of DAG Models CoRR (2013)
Saeed Amizadeh, Bo Thiesson, Milos Hauskrecht
Variational Dual-Tree Framework for Large-Scale Transition Matrix Approximation. UAI (2012)
Alexei Bocharov, Bo Thiesson
Non-parametric Segmentation of Regime-switching Time Series with Oblique Switching Trees. ICPRAM (2) (2012)
Bo Thiesson, Jingu Kim
Fast Variational Mode-Seeking. AISTATS (2012)
Bo Thiesson, David Maxwell Chickering, David Heckerman, Christopher Meek
ARMA Time-Series Modeling with Graphical Models CoRR (2012)
Saeed Amizadeh, Bo Thiesson, Milos Hauskrecht
Variational Dual-Tree Framework for Large-Scale Transition Matrix Approximation CoRR (2012)
Bo Thiesson, Chong Wang
Fast Large-scale Mixture Modeling with Component-specific Data Partitions. NIPS (2010)
Chong Wang, Bo Thiesson, Christopher Meek, David M. Blei
Markov Topic Models. AISTATS (2009)
Tim Paek, Bongshin Lee, Bo Thiesson
Designing phrase builder: a mobile real-time query expansion interface. Mobile HCI (2009)
Guy Shani, Christopher Meek, Tim Paek, Bo Thiesson, Gina Danielle Venolia
Searching large indexes on tiny devices: optimizing binary search with character pinning. IUI (2009)
Tim Paek, Bo Thiesson, Yun-Cheng Ju, Bongshin Lee
Search Vox: leveraging multimodal refinement and partial knowledge for mobile voice search. UIST (2008)
Kenneth Ward Church, Bo Thiesson
The wild thing goes local. SIGIR (2007)
Kenneth Ward Church, Bo Thiesson, Robert Ragno
K-Best Suffix Arrays. HLT-NAACL (Short Papers) (2007)
Jingrui He, Bo Thiesson
Asymmetric Gradient Boosting with Application to Spam Filtering. CEAS (2007)
Bo Thiesson, Christopher Meek
Efficient Gradient Computation for Conditional Gaussian Models. AISTATS (2005)
Kenneth Ward Church, Bo Thiesson
The Wild Thing. ACL (2005)
Bo Thiesson, David Maxwell Chickering, David Heckerman, Christopher Meek
ARMA Time-Series Modeling with Graphical Models. UAI (2004)
Jue Wang, Bo Thiesson, Yingqing Xu, Michael F. Cohen
Image and Video Segmentation by Anisotropic Kernel Mean Shift. ECCV (2) (2004)
Bo Thiesson, Christopher Meek
Discriminative Model Selection for Density Models. AISTATS (2003)
Christopher Meek, Bo Thiesson, David Heckerman
Staged Mixture Modelling and Boosting. UAI (2002)
Christopher Meek, Bo Thiesson, David Heckerman
The Learning-Curve Sampling Method Applied to Model-Based Clustering. J. Mach. Learn. Res. 2 (2002)
Bo Thiesson, Christopher Meek, David Heckerman
Accelerating EM for Large Databases. Mach. Learn. 45 (3) (2001)
Christopher Meek, Bo Thiesson, David Heckerman
The Learning Curve Method Applied to Clustering. AISTATS (2001)
Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman
Learning Mixtures of DAG Models. UAI (1998)
Bo Thiesson
Score and Information for Recursive Exponential Models with Incomplete Data. UAI (1997)
Bo Thiesson
Accelerated Quantification of Bayesian Networks with Incomplete Data. KDD (1995)