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Florian Westphal
Florian Westphal
Assistant Professor, Jönköping University
Verified email at ju.se
Title
Cited by
Cited by
Year
Document Image Binarization Using Recurrent Neural Networks
F Westphal, N Lavesson, H Grahn
2018 13th IAPR International Workshop on Document Analysis Systems (DAS …, 2018
602018
VMI-PL: A monitoring language for virtual platforms using virtual machine introspection
F Westphal, S Axelsson, C Neuhaus, A Polze
Digital Investigation 11, S85-S94, 2014
302014
Integration of Blockchain and Digital Twins in the Smart Built Environment Adopting Disruptive Technologies—A Systematic Review
H Sadri, I Yitmen, LC Tagliabue, F Westphal, A Tezel, A Taheri, G Sibenik
Sustainability 15 (4), 3713, 2023
162023
Efficient document image binarization using heterogeneous computing and parameter tuning
F Westphal, H Grahn, N Lavesson
International Journal on Document Analysis and Recognition (IJDAR) 21 (1-2 …, 2018
122018
Mapping drainage ditches in forested landscapes using deep learning and aerial laser scanning
W Lidberg, SS Paul, F Westphal, KF Richter, N Lavesson, R Melniks, ...
Journal of Irrigation and Drainage Engineering 149 (3), 04022051, 2023
112023
Emerging technology can guide ecosystem restoration for future water security
H Laudon, W Lidberg, RA Sponseller, E Maher Hasselquist, F Westphal, ...
Hydrological Processes 36 (10), 2022
102022
Cluster-based Sample Selection for Document Image Binarization
A Krantz, F Westphal
2019 International Conference on Document Analysis and Recognition Workshops …, 2019
62019
CGA integration into IPsec/IKEv2 authentication
A Alsa'deh, C Meinel, F Westphal, M Gawron, B Groneberg
Proceedings of the 6th International Conference on Security of Information …, 2013
62013
Representative image selection for data efficient word spotting
F Westphal, H Grahn, N Lavesson
Document Analysis Systems: 14th IAPR International Workshop, DAS 2020, Wuhan …, 2020
52020
Learning Character Recognition with Graph-Based Privileged Information
F Westphal, N Lavesson, H Grahn
2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019
22019
A case for guided machine learning
F Westphal, N Lavesson, H Grahn
Machine Learning and Knowledge Extraction: Third IFIP TC 5, TC 12, WG 8.4 …, 2019
22019
Efficient Document Image Binarization Using Heterogeneous Computing and Interactive Machine Learning
F Westphal
Blekinge Tekniska Högskola, 2018
22018
Efficient Binarization for Historical Document Analysis
F Westphal, H Grahn, N Lavesson
Family History Technology Workshop, 2016
22016
Explaining rifle shooting factors through multi-sensor body tracking
J Flyckt, F Andersson, F Westphal, A Månsson, N Lavesson
Intelligent Data Analysis 27 (2), 535-554, 2023
12023
A conceptual framework for blockchain and AI-driven digital twins for predictive operation and maintenance
H Sadri, I Yitmen, LC Tagliabue, F Westphal
EC3 Conference 2023 4, 0-0, 2023
2023
Erratum to: Explaining rifle shooting factors through multi-sensor body tracking
J Flyckt, F Andersson, F Westphal, A Månsson, N Lavesson, J Flyckta, ...
Intelligent Data Analysis 27 (885), 885, 2023
2023
Mapping Sweden's drainage ditches using deep learning and airborne laser scanning
W Lidberg, S Paul, F Westphal, A Ågren
EGU General Assembly Conference Abstracts, EGU22-4639, 2022
2022
Data and Time Efficient Historical Document Analysis
F Westphal
Blekinge Tekniska Högskola, 2020
2020
User Feedback and Uncertainty in User Guided Binarization
F Westphal, H Grahn, N Lavesson
2018 IEEE International Conference on Data Mining Workshops (ICDMW), 403-410, 2018
2018
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