World's Best Scientists 2026 revealed!
Thomas B. Schön

Thomas B. Schön

D-Index & Metrics

Computer Science

D-Index
52
Citations
13535
World Ranking
5017
National Ranking
23

Overview

Thomas B. Schön is affiliated with Uppsala University in Sweden. Their research spans multiple fields within computer science and engineering, with a notable focus on artificial intelligence and control systems.

Their scientific contributions include work on the intersection of machine learning and system identification, as well as applications in cardiology and signal processing. Key areas of study include:

  • Artificial Intelligence
  • Control and Systems Engineering
  • Computer Vision and Pattern Recognition
  • Cardiology and Cardiovascular Medicine
  • Signal Processing

Focus topics in their work cover:

  • Fault Detection and Control Systems
  • ECG Monitoring and Analysis
  • Control Systems and Identification
  • Gaussian Processes and Bayesian Inference
  • Target Tracking and Data Fusion in Sensor Networks
  • Neural Networks and Applications
  • Anomaly Detection Techniques and Applications

Recent papers by Thomas B. Schön include:

  • "Pre-trained deep neural network models for ECG automatic abnormality detection" (2020) published in OPAL (Open@LaTrobe) (La Trobe University)
  • "Deep neural network-estimated electrocardiographic age as a mortality predictor" (2021) published in Nature Communications
  • "The effect of interventions on COVID-19" (2020) published in Nature
  • "Deep Learning and System Identification" (2020) published in IFAC-PapersOnLine
  • "Image Restoration with Mean-Reverting Stochastic Differential Equations" (2023) published on arXiv (Cornell University)

Frequent publication venues for this researcher include:

  • arXiv (Cornell University)
  • IFAC-PapersOnLine
  • OPAL (Open@LaTrobe) (La Trobe University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)

Thomas B. Schön has collaborated extensively with a number of co-authors, including:

  • Antônio H. Ribeiro
  • Antônio Luiz Pinho Ribeiro
  • Niklas Wahlström
  • Jens Sjölund
  • Fredrik Gustafsson

In addition to research papers, their work includes book publications. A notable book is "Machine Learning," published in 2022 by Cambridge University Press.

Best Publications

  • Automatic diagnosis of the 12-lead ECG using a deep neural network

    Antônio H. Ribeiro;Antônio H. Ribeiro;Manoel Horta Ribeiro;Gabriella M.M. Paixão;Derick M. Oliveira

  • Marginalized particle filters for mixed linear/nonlinear state-space models

    T. Schon;F. Gustafsson;P.-J. Nordlund

  • System identification of nonlinear state-space models

    Thomas B. Schön;Adrian Wills;Brett Ninness

  • On Resampling Algorithms for Particle Filters

    Jeroen D. Hol;Thomas B. Schon;Fredrik Gustafsson

  • Using Inertial Sensors for Position and Orientation Estimation

    Manon Kok;Jeroen D. Hol;Thomas B. Schön

  • Marginalized Particle Filters for Nonlinear State-space Models

    Thomas Schön;Fredrik Gustafsson;Per-Johan Nordlund

  • Identification of Hammerstein-Wiener models

    Adrian Wills;Thomas B. SchöN;Lennart Ljung;Brett Ninness

  • Particle gibbs with ancestor sampling

    Fredrik Lindsten;Michael I. Jordan;Thomas B. Schön

  • Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision

    Fredrik K. Gustafsson;Martin Danelljan;Thomas B. Schon

  • The Eighth Visual Object Tracking VOT2020 Challenge Results

    Matej Kristan;Aleš Leonardis;Jiří Matas;Michael Felsberg

  • Complexity analysis of the marginalized particle filter

    R. Karlsson;T. Schon;F. Gustafsson

  • Indoor Positioning Using Ultrawideband and Inertial Measurements

    Manon Kok;Jeroen D. Hol;Thomas B. Schon

  • Mycobacterium tuberculosis drug-resistance testing: challenges, recent developments and perspectives

    T. Schön;P. Miotto;C. U. Köser;M. Viveiros

  • Deep neural network-estimated electrocardiographic age as a mortality predictor.

    Emilly M. Lima;Antônio H. Ribeiro;Antônio H. Ribeiro;Gabriela M. M. Paixão;Manoel Horta Ribeiro

  • Magnetometer Calibration Using Inertial Sensors

    Manon Kok;Thomas B. Schön

  • A Basic Convergence Result for Particle Filtering

    Xiao-Li Hu;T.B. Schon;L. Ljung

  • Tightly coupled UWB/IMU pose estimation

    Jeroen D. Hol;Fred Dijkstra;Henk Luinge;Thomas B. Schon

  • Backward Simulation Methods for Monte Carlo Statistical Inference

    Fredrik Lindsten;Thomas B. Schön

  • Deep learning and system identification

    Lennart Ljung;Carl Andersson;Koen Tiels;Thomas B. Schön

  • From Pixels to Torques: Policy Learning with Deep Dynamical Models

    Niklas Wahlström;Thomas B. Schön;Marc Peter Deisenroth

  • Evaluating model calibration in classification

    Juozas Vaicenavicius;David Widmann;Carl R. Andersson;Fredrik Lindsten

  • Indoor positioning using ultra-wideband and inertial measurements

    Manon Kok;Jeroen D. Hol;Thomas B. Schön

Frequent Co-Authors

Fredrik Gustafsson
Fredrik Gustafsson Linköping University
Brett Ninness
Brett Ninness University of Newcastle Australia
Lennart Ljung
Lennart Ljung Linköping University
Olle Stendahl
Olle Stendahl Linköping University
Christian G. Giske
Christian G. Giske Karolinska University Hospital
Wagner Meira
Wagner Meira Universidade Federal de Minas Gerais
Simo Särkkä
Simo Särkkä Aalto University
Gunnar Kahlmeter
Gunnar Kahlmeter Uppsala University
Fredrik Ronquist
Fredrik Ronquist Swedish Museum of Natural History
Michel Verhaegen
Michel Verhaegen Delft University of Technology

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Computer Science in the USA opens up exciting career pathways in a fast-evolving technology landscape. Many students are now exploring online degree programs for greater flexibility, affordability, and access to top-tier institutions. For those interested in sustainable technology and problem-solving, an environmental engineering degrees online program can be a valuable complement to core computer science skills.

Others seek programs that combine technical depth with practical application. If cost is a primary concern, a cheapest mechanical engineering degree online option can provide engineering expertise without a large financial burden. For students drawn to the fundamentals of computational theory and scientific problem-solving, an online theoretical physics degree can lay the groundwork for interdisciplinary careers.

With the rise of big data and analytics, a data science degree is now a top choice for computer science graduates aiming to specialize in AI, machine learning, and quantitative analysis. Exploring these related online degrees can unlock new opportunities and career directions in today’s digital world.

Best Scientists Citing Thomas B. Schön

Trending Scientists