A. Holst

发表

Causal discovery using clusters from observational data

Sepideh Pashami, A. Holst, Juhee Bae, 2019 .

The 29th Annual Workshop of the Swedish Artificial Intelligence Society (SAIS) 2–3 June 2016, Malmö, Sweden Editor

Christos Dimitrakakis, P. Davidsson, F. Heintz, 2016 .

A Bayesian Neural Network Model with Extensions a Bayesian Neural Network Model with Extensions

Anders Lansner, Anders Holst, A. Lansner, 1993 .

Modelling Callable Annuity Bonds with Interest-Only Optionality

A. Holst, Morten Nalholm, 2004 .

A Bayesian Parametric Statistical Anomaly Detection Method for Finding Trends and Patterns in Criminal Behavior

Anders Holst, Björn Bjurling, A. Holst, 2013, 2013 European Intelligence and Security Informatics Conference.

The Use of a Bayesian Neural Network Model for Classification Tasks

Anders Holst, A. Holst, 1997 .

Interactive Clustering for Exploring Multiple Data Streams at Different Time Scales and Granularity

Alexander Karlsson, Mohamed-Rafik Bouguelia, Juhee Bae, 2019, WIDM'19.

Identifying causal relationships of cancer treatment and long-term health effects among 5-year survivors of childhood cancer in Southern Sweden

A. Holst, T. Wiebe, T. Relander, 2022, Communications Medicine.

A Higher order Bayesian Neural Network with Spiking Units

Anders Lansner, Anders Holst, A. Lansner, 1996, Int. J. Neural Syst..

A Joint Statistical and Symbolic Anomaly Detection System: Increasing performance in maritime surveillance

Åsa Rudström, Rikard Laxhammar, Anders Holst, 2012, 2012 15th International Conference on Information Fusion.

Fault-tolerant incremental diagnosis with limited historical data

D. Gillblad, R. Steinert, A. Holst, 2008, 2008 International Conference on Prognostics and Health Management.

Emulating Process Simulators with Learning Systems

Daniel Gillblad, Björn Levin, Anders Holst, 2005, ICANN.

Approximating process simulators with learning systems

Daniel Gillblad, Björn Levin, Anders Holst, 2005 .

Mode tracking using multiple data streams

Sepideh Pashami, Slawomir Nowaczyk, Alexander Karlsson, 2018, Inf. Fusion.

SALES PREDICTION WITH MARKETING DATA INTEGRATION FOR SUPPLY CHAINS

Daniel Gillblad, Anders Holst, A. Holst, 2004 .

Statistical Anomaly Detection for Train Fleets

Markus Bohlin, Ola Sellin, Anders Holst, 2012, AI Mag..

Automatic Classification of the Sub-Techniques (Gears) Used in Cross-Country Ski Skating Employing a Mobile Phone

Erik Andersson, Thomas Stöggl, Hans-Christer Holmberg, 2014, Sensors.

The gmdl Modeling and Analysis System

Per Kreuger, Björn Levin, Anders Holst, 2004 .

A Probabilistic Approach to Aggregating Anomalies for Unsupervised Anomaly Detection with Industrial Applications

Tomas Olsson, Anders Holst, A. Holst, 2015, FLAIRS.

pyISC: A Bayesian Anomaly Detection Framework for Python

Tomas Olsson, Anders Holst, Blerim Emruli, 2017, FLAIRS.

Data Driven Maintenance: A Promising Way of Action for Future Industrial Services Management

M. Patriksson, Anders Ingwald, M. Kans, 2022, Lecture Notes in Mechanical Engineering.

Reducing vehicle maintenance using condition monitoring and dynamic planning

Rebecca Steinert, Martin Aronsson, Markus Bohlin, 2008 .