Julia Böhlke, B.Sc.
Curriculum Vitae
2020 – 2022 Research assistant in the AMMOD Project
Focus: novelty detection, active learning and life-long learning
2016 – 2020 B.Sc. in Computer Science
Friedrich Schiller University Jena
Bachelor’s Thesis: “Google Images as a Source of NoisyData for Species Classication in Biodiversity Research”
Research Interests
Active and lifelong learning for biodiversity monitoring (with AMMOD)
Publications
2021
Julia Böhlke, Dimitri Korsch, Paul Bodesheim, Joachim Denzler:
Exploiting Web Images for Moth Species Classification.
Computer Science for Biodiversity Workshop (CS4Biodiversity), INFORMATIK 2021. Pages 481-498. 2021.
[bibtex] [pdf] [web] [doi] [abstract]
Julia Böhlke, Dimitri Korsch, Paul Bodesheim, Joachim Denzler:
Lightweight Filtering of Noisy Web Data: Augmenting Fine-grained Datasets with Selected Internet Images.
International Conference on Computer Vision Theory and Applications (VISAPP). Pages 466-477. 2021.
[bibtex] [pdf] [web] [doi] [abstract]