Lehrstuhl für Informatik 5 (Mustererkennung)


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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

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Abstract

Journal

Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGAN (2023) Utz J, Weise T, Schlereth M, Wagner F, Thies M, Gu M, Uderhardt S, Breininger K Conference contribution Detection of Vowel Errors in Children's Speech using Synthetic Phonetic Transcripts (2023) Baumann I, Wagner D, Riedhammer K, Nöth E, Bocklet T Conference contribution Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals (2023) Sun S, Woerner S, Maier A, Koch LM, Baumgartner CF Conference contribution Word class representations spontaneously emerge in a deep neural network trained on next word prediction (2023) Surendra K, Schilling A, Stöwer P, Maier A, Krauß P Conference contribution Detection of Arterial Occlusion on Magnetic Resonance Angiography of the Thigh using Deep Learning (2023) Nguyen TT, Folle L, Bayer T, Maier A Conference contribution Comparative Analysis of Machine Learning Clustering Methods for Electroretinogram (2023) Zhdanov A, Bulev D, Dolganov A, Kulyabin M Conference contribution, Conference Contribution Fetal Re-Identification in Multiple Pregnancy Ultrasound Images Using Deep Learning (2023) Gabler E, Nissen M, Altstidl TR, Titzmann A, Packhäuser K, Maier A, Fasching P, et al. Conference contribution, Conference Contribution MUSTI - Multimodal Understanding of Smells in Texts and Images at MediaEval 2022 (2023) Hürriyetoğlu A, Paccosi T, Menini S, Zinnen M, Lisena P, Akdemir K, Troncy R, van Erp M Conference contribution Multimodal and Multilingual Understanding of Smells using VilBERT and mUNITER (2023) Akdemir K, Hürriyetoğlu A, Troncy R, Paccosi T, Menini S, Zinnen M, Christlein V Conference contribution Coincidence detection and integration behavior in spiking neural networks (2023) Stoll A, Maier A, Krauß P, Gerum R, Schilling A Journal article