Accelerated Quantification of Bayesian Networks with Incomplete Data. - Bo Thiesson (KDD, 1995)

Score and Information for Recursive Exponential Models with Incomplete Data. - Bo Thiesson (UAI, 1997)

Learning Mixtures of DAG Models. - Bo Thiesson; Christopher Meek; David Maxwell Chickering; David Heckerman (UAI, 1998)

The Learning Curve Method Applied to Clustering. - Christopher Meek; Bo Thiesson; David Heckerman (AISTATS, 2001)

Accelerating EM for Large Databases. - Bo Thiesson; Christopher Meek; David Heckerman (Mach. Learn., 2001)

Staged Mixture Modelling and Boosting. - Christopher Meek; Bo Thiesson; David Heckerman (UAI, 2002)

The Learning-Curve Sampling Method Applied to Model-Based Clustering. - Christopher Meek; Bo Thiesson; David Heckerman (J. Mach. Learn. Res., 2002)

Discriminative Model Selection for Density Models. - Bo Thiesson; Christopher Meek (AISTATS, 2003)

Image and Video Segmentation by Anisotropic Kernel Mean Shift. - Jue Wang 001; Bo Thiesson; Yingqing Xu; Michael F. Cohen (ECCV (2), 2004)

ARMA Time-Series Modeling with Graphical Models. - Bo Thiesson; David Maxwell Chickering; David Heckerman; Christopher Meek (UAI, 2004)

The Wild Thing. - Kenneth Ward Church; Bo Thiesson (ACL, 2005)

Efficient Gradient Computation for Conditional Gaussian Models. - Bo Thiesson; Christopher Meek (AISTATS, 2005)

Asymmetric Gradient Boosting with Application to Spam Filtering. - Jingrui He; Bo Thiesson (CEAS, 2007)

K-Best Suffix Arrays. - Kenneth Ward Church; Bo Thiesson; Robert Ragno (HLT-NAACL (Short Papers), 2007)

The wild thing goes local. - Kenneth Ward Church; Bo Thiesson (SIGIR, 2007)

Search Vox: leveraging multimodal refinement and partial knowledge for mobile voice search. - Tim Paek; Bo Thiesson; Yun-Cheng Ju; Bongshin Lee (UIST, 2008)

Searching large indexes on tiny devices: optimizing binary search with character pinning. - Guy Shani; Christopher Meek; Tim Paek; Bo Thiesson; Gina Danielle Venolia (IUI, 2009)

Designing phrase builder: a mobile real-time query expansion interface. - Tim Paek; Bongshin Lee; Bo Thiesson (Mobile HCI, 2009)

Markov Topic Models. - Chong Wang 002; Bo Thiesson; Christopher Meek; David M. Blei (AISTATS, 2009)

Fast Large-scale Mixture Modeling with Component-specific Data Partitions. - Bo Thiesson; Chong Wang 002 (NIPS, 2010)

Non-parametric Segmentation of Regime-switching Time Series with Oblique Switching Trees. - Alexei Bocharov; Bo Thiesson (ICPRAM (2), 2012)

Variational Dual-Tree Framework for Large-Scale Transition Matrix Approximation. - Saeed Amizadeh; Bo Thiesson; Milos Hauskrecht (UAI, 2012)

Fast Variational Mode-Seeking. - Bo Thiesson; Jingu Kim (AISTATS, 2012)

The Bregman Variational Dual-Tree Framework. - Saeed Amizadeh; Bo Thiesson; Milos Hauskrecht (UAI, 2013)

Discussion Graphs: Putting Social Media Analysis in Context. - Emre Kiciman; Scott Counts; Michael Gamon; Munmun De Choudhury; Bo Thiesson (ICWSM, 2014)

Towards Flexibility Detection in Device-Level Energy Consumption. - Bijay Neupane; Torben Bach Pedersen; Bo Thiesson (DARE, 2014)

Evaluating the Value of Flexibility in Energy Regulation Markets. - Bijay Neupane; Torben Bach Pedersen; Bo Thiesson (e-Energy, 2015)

HyperSAX: Fast Approximate Search of Multidimensional Data. - Jens Emil Gydesen; Henrik Haxholm; Niels Sonnich Poulsen; Sebastian A. Wahl; Bo Thiesson (ICPRAM (1), 2015)

A Hierarchical Tree Distance Measure for Classification. - Kent Munthe Caspersen; Martin Bjeldbak Madsen; Andreas Berre Eriksen; Bo Thiesson (ICPRAM, 2017)

Utilizing Device-level Demand Forecasting for Flexibility Markets. - Bijay Neupane; Torben Bach Pedersen; Bo Thiesson (e-Energy, 2018)

Utilizing Device-level Demand Forecasting for Flexibility Markets - Full Version. - Bijay Neupane; Torben Bach Pedersen; Bo Thiesson (CoRR, 2018)

Explainable artificial intelligence model to predict acute critical illness from electronic health records. - Simon Meyer Lauritsen; Mads Kristensen; Mathias Vassard Olsen; Morten Skaarup Larsen; Katrine Meyer Lauritsen; Marianne Johansson Jørgensen; Jeppe Lange; Bo Thiesson (CoRR, 2019)

Early detection of sepsis utilizing deep learning on electronic health record event sequences. - Simon Meyer Lauritsen; Mads Ellersgaard Kalør; Emil Lund Kongsgaard; Katrine Meyer Lauritsen; Marianne Johansson Jørgensen; Jeppe Lange; Bo Thiesson (Artif. Intell. Medicine, 2020)

The Consequences of the Framing of Machine Learning Risk Prediction Models: Evaluation of Sepsis in General Wards. - Simon Meyer Lauritsen; Bo Thiesson; Marianne Johansson Jørgensen; Anders Hammerich Riis; Ulrick Skipper Espelund; Jesper Bo Weile; Jeppe Lange (CoRR, 2021)

The Framing of machine learning risk prediction models illustrated by evaluation of sepsis in general wards. - Simon Meyer Lauritsen; Bo Thiesson; Marianne Johansson Jørgensen; Anders Hammerich Riis; Ulrick Skipper Espelund; Jesper Bo Weile; Jeppe Lange (npj Digit. Medicine, 2021)