| Document Image Binarization Using Recurrent Neural Networks F Westphal, N Lavesson, H Grahn 2018 13th IAPR International Workshop on Document Analysis Systems (DAS …, 2018 | 52 | 2018 |
| 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 | 29 | 2014 |
| 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 | 12 | 2018 |
| 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 | 8 | 2023 |
| 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 | 8 | 2022 |
| 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 | 6 | 2013 |
| Cluster-based Sample Selection for Document Image Binarization A Krantz, F Westphal 2019 International Conference on Document Analysis and Recognition Workshops …, 2019 | 5 | 2019 |
| 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 | 4 | 2023 |
| 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 | 3 | 2020 |
| Learning Character Recognition with Graph-Based Privileged Information F Westphal, N Lavesson, H Grahn 2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019 | 2 | 2019 |
| 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 | 2 | 2019 |
| Efficient Binarization for Historical Document Analysis F Westphal, H Grahn, N Lavesson Family History Technology Workshop, 2016 | 2 | 2016 |
| Efficient Document Image Binarization Using Heterogeneous Computing and Interactive Machine Learning F Westphal Blekinge Tekniska Högskola, 2018 | 1 | 2018 |
| 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 |
| 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 | | 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 |
Niklas LavessonProfessor of Software Engineering - Applied AI/ML at Blekinge Institute of TechnologyVerified email at bth.se
