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Anders Holst
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2020 – today
- 2024
- [c17]Anders Holst, Niels Chr. Overgaard
:
Computing the Lipschitz Constant Needed for Fast Scene Recovery from CASSI Measurements. ECCV (62) 2024: 339-353 - [c16]Pontus Svenson, Anders Holst, Anders Wallberg, Paavo Nevalainen, Farshad Farahnakian, Alfonso Álamo, Vincenzo Germinara, Daniel Schweizer, Matthis Leicht, Mathias Anneken, Adrian H. Hoppe, Aristeidis Karalis, Ashraf Labib, María Eugénia Beltrán, Liss Hernández, Petteri Partanen, Minna Markkanen:
AI-ARC Baltic Demo: Detecting Illegal Activities at Sea. FUSION 2024: 1-8 - [i4]Jia Fu, Xiao Zhang, Sepideh Pashami, Fatemeh Rahimian, Anders Holst:
DiffPAD: Denoising Diffusion-based Adversarial Patch Decontamination. CoRR abs/2410.24006 (2024) - 2023
- [i3]Abhishek Srinivasan, Juan Carlos Andresen, Anders Holst:
Ensemble Neural Networks for Remaining Useful Life (RUL) Prediction. CoRR abs/2309.12445 (2023)
2010 – 2019
- 2019
- [c15]Ahmad Al-Shishtawy, Juhee Bae, Mohamed-Rafik Bouguelia, Göran Falkman, Sarunas Girdzijauskas, Olof Gönerup, Anders Holst, Alexander Karlsson, Slawomir Nowaczyk
Eliciting Structures in Data. IUI Workshops 2019 - [c14]Anders Holst, Juhee Bae, Alexander Karlsson, Mohamed-Rafik Bouguelia
Interactive Clustering for Exploring Multiple Data Streams at Different Time Scales and Granularity. IDM@WSDM 2019: 2:1-2:7 - [c13]Anders Holst, Sepideh Pashami, Juhee Bae:
Incremental Causal Discovery and Visualization. IDM@WSDM 2019: 3:1-3:6 - 2018
- [j7]Mohamed-Rafik Bouguelia
Mode tracking using multiple data streams. Inf. Fusion 43: 33-46 (2018) - 2017
- [c12]Blerim Emruli, Tomas Olsson, Anders Holst:
pyISC: A Bayesian Anomaly Detection Framework for Python. FLAIRS 2017: 514-519 - 2016
- [c11]Magnus Sahlgren, Amaru Cuba Gyllensten, Fredrik Espinoza, Ola Hamfors, Jussi Karlgren, Fredrik Olsson, Per Persson, Akshay Viswanathan, Anders Holst:
The Gavagai Living Lexicon. LREC 2016 - 2015
- [j6]Johan Helsing
Variants of an explicit kernel-split panel-based Nyström discretization scheme for Helmholtz boundary value problems. Adv. Comput. Math. 41(3): 691-708 (2015) - [j5]Anders Holst:
Optimal test planning for High Cycle Fatigue limit testing. Ann. Oper. Res. 224(1): 101-110 (2015) - [c10]Tomas Olsson, Anders Holst:
A Probabilistic Approach to Aggregating Anomalies for Unsupervised Anomaly Detection with Industrial Applications. FLAIRS 2015: 434-439 - [c9]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
- [j4]Thomas Stöggl
Automatic Classification of the Sub-Techniques (Gears) Used in Cross-Country Ski Skating Employing a Mobile Phone. Sensors 14(11): 20589-20601 (2014) - [i2]Anders Holst:
How to Detect Suspect Behaviour at Sea. ERCIM News 2014(98) (2014) - 2013
- [j3]Anders Holst, Markus Bohlin, Jan Ekman, Ola Sellin, Björn Lindström, Stefan Larsen:
Statistical Anomaly Detection for Train Fleets. AI Mag. 34(1): 33-42 (2013) - [c8]Anders Holst, Björn Bjurling:
A Bayesian Parametric Statistical Anomaly Detection Method for Finding Trends and Patterns in Criminal Behavior. EISIC 2013: 83-88 - [c7]Anders Holst, Arndt Jonasson:
Classification of movement patterns in skiing. SCAI 2013: 115-124 - 2012
- [c6]Anders Holst, Björn Bjurling, Jan Ekman, Åsa Rudström, Klas Wallenius, Mattias Bjorkman, Farzad Fooladvandi, Rikard Laxhammar, Johan Tronninger:
A Joint Statistical and Symbolic Anomaly Detection System: Increasing performance in maritime surveillance. FUSION 2012: 1919-1926 - [c5]Anders Holst, Markus Bohlin, Jan Ekman, Ola Sellin, Björn Lindström, Stefan Larsen:
Statistical Anomaly Detection for Train Fleets. IAAI 2012: 2217-2223 - 2011
- [c4]Anders Holst, Jan Ekman:
Incremental Stream Clustering for Anomaly Detection and Classification. SCAI 2011: 100-107
2000 – 2009
- 2008
- [c3]Jussi Karlgren
Filaments of Meaning in Word Space. ECIR 2008: 531-538 - [e1]Anders Holst, Per Kreuger, Peter Funk:
Tenth Scandinavian Conference on Artificial Intelligence, SCAI 2008, Stockholm, Sweden, May 26-28, 2008. Frontiers in Artificial Intelligence and Applications 173, IOS Press 2008, ISBN 978-1-58603-867-0 [contents] - 2007
- [i1]Anders Holst, Markus Bohlin:
Dynamic Routing of Rail Vehicles. ERCIM News 2007(68) (2007) - 2005
- [c2]Daniel Gillblad, Anders Holst, Björn Levin:
Emulating Process Simulators with Learning Systems. ICANN (2) 2005: 377-382 - 2001
- [c1]Daniel Gillblad, Anders Holst:
Dependency Derivation in Industrial Process Data. ICDM 2001: 599-602
1990 – 1999
- 1996
- [j2]Anders Lansner, Anders Holst:
A Higher order Bayesian Neural Network with Spiking Units. Int. J. Neural Syst. 7(2): 115-128 (1996) - 1993
- [j1]Anders Holst, Anders Lansner:
A Flexible And Fault Tolerant Query-Reply System Based On A Bayesian Neural Network. Int. J. Neural Syst. 4(3): 257-267 (1993)
Coauthor Index
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