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Tomas Olsson
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2020 – today
- 2022
- [c15]Tim Andersson, Markus Bohlin, Tomas Olsson, Mats Ahlskog:
Comparison of Machine Learning's- and Humans'- Ability to Consistently Classify Anomalies in Cylinder Locks. APMS (1) 2022: 27-34
2010 – 2019
- 2017
- [j3]Ekaterina Kotelnikova, Narsis Aftab Kiani
, Elena Abad, Elena H. Martinez-Lapiscina
Dynamics and heterogeneity of brain damage in multiple sclerosis. PLoS Comput. Biol. 13(10) (2017) - [c14]Blerim Emruli, Tomas Olsson, Anders Holst:
pyISC: A Bayesian Anomaly Detection Framework for Python. FLAIRS 2017: 514-519 - 2015
- [b1]Tomas Olsson:
A Data-Driven Approach to Remote Fault Diagnosis of Heavy-duty Machines. Mälardalen University, Sweden, 2015 - [c13]Tomas Olsson, Anders Holst:
A Probabilistic Approach to Aggregating Anomalies for Unsupervised Anomaly Detection with Industrial Applications. FLAIRS 2015: 434-439 - [c12]Tomas Olsson, Ning Xiong, Elisabeth Källström, Anders Holst, Peter Funk:
Fault Diagnosis via Fusion of Information from a Case Stream. ICCBR 2015: 275-289 - 2014
- [c11]Tomas Olsson, Daniel Gillblad
Explaining Probabilistic Fault Diagnosis and Classification Using Case-Based Reasoning. ICCBR 2014: 360-374
2000 – 2009
- 2009
- [c10]Tomas Olsson:
Assessing Security Risk to a Network Using a Statistical Model of Attacker Community Competence. ICICS 2009: 308-324 - 2007
- [c9]Tomas Olsson, Anders Robertsson, Rolf Johansson
Flexible Force Control for Accurate Low-Cost Robot Drilling. ICRA 2007: 4770-4775 - 2006
- [c8]Tomas Olsson, Rolf Johansson
Force/Vision Based Active Damping Control of Contact Transition in Dynamic Environments. WDV 2006: 299-313 - [c7]Tomas Olsson, Rolf Johansson
High-speed visual robot control using an optimal linearizing intensity-based filtering approach. IROS 2006: 1212-1217 - [c6]Anders Robertsson, Tomas Olsson, Rolf Johansson
Implementation of Industrial Robot Force Control Case Study: High Power Stub Grinding and Deburring. IROS 2006: 2743-2748 - 2005
- [j2]Anders Blomdell, Gunnar S. Bolmsjö
Extending an industrial robot controller: implementation and applications of a fast open sensor interface. IEEE Robotics Autom. Mag. 12(3): 85-94 (2005) - 2004
- [j1]Rolf Johansson
Sensor integration in task-level programming and industrial robotic task execution control. Ind. Robot 31(3): 284-296 (2004) - [c5]Tomas Olsson, Rolf Johansson
Flexible force-vision control for surface following using multiple cameras. IROS 2004: 789-803 - [c4]Dan Henriksson, Tomas Olsson:
Maximizing the Use of Computational Resources in Multi-Camera Feedback Control. IEEE Real-Time and Embedded Technology and Applications Symposium 2004: 360-367 - 2003
- [c3]Tomas Olsson, Johan Bengtsson, Anders Robertsson, Rolf Johansson
Visual position tracking using dual quatemions with hand-eye motion constraints. ICRA 2003: 3491-3496 - 2002
- [c2]Tomas Olsson, Johan Bengtsson, Rolf Johansson
Force Control and Visual Servoing using Planar Surface Identification. ICRA 2002: 4211-4216
1990 – 1999
- 1998
- [c1]Andreas Rasmusson, Tomas Olsson, Preben Hansen:
A Virrtual Community Library: SICS Digital Library Infrastructure Project. ECDL 1998: 677-678
Coauthor Index
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