Bo Thiesson

According to our database, Bo Thiesson authored at least 35 papers between 1995 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

2020

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

2019

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

2018

Utilizing Device-level Demand Forecasting for Flexibility Markets - Full Version.

Bijay Neupane, Torben Bach Pedersen, Bo Thiesson

CoRR, 2018

Utilizing Device-level Demand Forecasting for Flexibility Markets.

Bijay Neupane, Torben Bach Pedersen, Bo Thiesson

Proceedings of the Ninth International Conference on Future Energy Systems, 2018

2017

A Hierarchical Tree Distance Measure for Classification.

Kent Munthe Caspersen, Martin Bjeldbak Madsen, Andreas Berre Eriksen, Bo Thiesson

Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

2015

HyperSAX: Fast Approximate Search of Multidimensional Data.

Jens Emil Gydesen, Henrik Haxholm, Niels Sonnich Poulsen, Sebastian A. Wahl, Bo Thiesson

Proceedings of the ICPRAM 2015, 2015

Evaluating the Value of Flexibility in Energy Regulation Markets.

Bijay Neupane, Torben Bach Pedersen, Bo Thiesson

Proceedings of the 2015 ACM Sixth International Conference on Future Energy Systems, 2015

2014

Towards Flexibility Detection in Device-Level Energy Consumption.

Bijay Neupane, Torben Bach Pedersen, Bo Thiesson

Proceedings of the Data Analytics for Renewable Energy Integration, 2014

Discussion Graphs: Putting Social Media Analysis in Context.

Emre Kiciman, Scott Counts, Michael Gamon, Munmun De Choudhury, Bo Thiesson

Proceedings of the Eighth International Conference on Weblogs and Social Media, 2014

2013

The Bregman Variational Dual-Tree Framework.

Saeed Amizadeh, Bo Thiesson, Milos Hauskrecht

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

2012

Fast Variational Mode-Seeking.

Bo Thiesson, Jingu Kim

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Variational Dual-Tree Framework for Large-Scale Transition Matrix Approximation.

Saeed Amizadeh, Bo Thiesson, Milos Hauskrecht

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Non-parametric Segmentation of Regime-switching Time Series with Oblique Switching Trees.

Alexei Bocharov, Bo Thiesson

Proceedings of the ICPRAM 2012, 2012

2010

Fast Large-scale Mixture Modeling with Component-specific Data Partitions.

Bo Thiesson, Chong Wang

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009

Markov Topic Models.

Chong Wang, Bo Thiesson, Christopher Meek, David M. Blei

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Designing phrase builder: a mobile real-time query expansion interface.

Tim Paek, Bongshin Lee, Bo Thiesson

Proceedings of the 11th Conference on Human-Computer Interaction with Mobile Devices and Services, 2009

Searching large indexes on tiny devices: optimizing binary search with character pinning.

Guy Shani, Christopher Meek, Tim Paek, Bo Thiesson, Gina Danielle Venolia

Proceedings of the 14th International Conference on Intelligent User Interfaces, 2009

2008

Search Vox: leveraging multimodal refinement and partial knowledge for mobile voice search.

Tim Paek, Bo Thiesson, Yun-Cheng Ju, Bongshin Lee

Proceedings of the 21st Annual ACM Symposium on User Interface Software and Technology, 2008

2007

The wild thing goes local.

Kenneth Ward Church, Bo Thiesson

Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

K-Best Suffix Arrays.

Kenneth Ward Church, Bo Thiesson, Robert Ragno

Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2007

Asymmetric Gradient Boosting with Application to Spam Filtering.

Jingrui He, Bo Thiesson

Proceedings of the CEAS 2007, 2007

2005

Efficient Gradient Computation for Conditional Gaussian Models.

Bo Thiesson, Christopher Meek

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

The Wild Thing.

Kenneth Ward Church, Bo Thiesson

Proceedings of the ACL 2005, 2005

2004

ARMA Time-Series Modeling with Graphical Models.

Bo Thiesson, David Maxwell Chickering, David Heckerman, Christopher Meek

Proceedings of the UAI '04, 2004

Image and Video Segmentation by Anisotropic Kernel Mean Shift.

Jue Wang, Bo Thiesson, Yingqing Xu, Michael F. Cohen

Proceedings of the Computer Vision, 2004

2003

Discriminative Model Selection for Density Models.

Bo Thiesson, Christopher Meek

Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

2002

The Learning-Curve Sampling Method Applied to Model-Based Clustering.

Christopher Meek, Bo Thiesson, David Heckerman

J. Mach. Learn. Res., 2002

Staged Mixture Modelling and Boosting.

Christopher Meek, Bo Thiesson, David Heckerman

Proceedings of the UAI '02, 2002

2001

Accelerating EM for Large Databases.

Bo Thiesson, Christopher Meek, David Heckerman

Mach. Learn., 2001

The Learning Curve Method Applied to Clustering.

Christopher Meek, Bo Thiesson, David Heckerman

Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001

1998

Learning Mixtures of DAG Models.

Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman

Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

1997

Score and Information for Recursive Exponential Models with Incomplete Data.

Bo Thiesson

Proceedings of the UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997

1995

Accelerated Quantification of Bayesian Networks with Incomplete Data.

Bo Thiesson

Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD-95), 1995