Florian Schmid

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 22

Top Venues

University of Ulm, Germany (PHD)

Education History

University of Ulm, Germany

PHD

Publications

Florian Schmid, Paul Primus, Toni Heittola, Annamaria Mesaros, Irene Martín-Morató, Khaled Koutini, Gerhard Widmer
Data-Efficient Low-Complexity Acoustic Scene Classification in the DCASE 2024 Challenge. CoRR (2024)
Florian Schmid, Khaled Koutini, Gerhard Widmer
Dynamic Convolutional Neural Networks as Efficient Pre-Trained Audio Models. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Florian Schmid, Khaled Koutini, Gerhard Widmer
Dynamic Convolutional Neural Networks as Efficient Pre-trained Audio Models. CoRR (2023)
Florian Schmid, Khaled Koutini, Gerhard Widmer
Low-Complexity Audio Embedding Extractors. EUSIPCO (2023)
Florian Schmid, Khaled Koutini, Gerhard Widmer
Efficient Large-Scale Audio Tagging Via Transformer-to-CNN Knowledge Distillation. ICASSP (2023)
Florian Schmid, Khaled Koutini, Gerhard Widmer
Low-Complexity Audio Embedding Extractors. CoRR (2023)
Nils Egger, Lina Franken, Dennis Möbus, Florian Schmid
Oral History auf dem Weg zu Big Data: menschliche und maschinelle Annotation lebensgeschichtlicher Interviews im Vergleich. DHd (2023)
Felix Gerschner, Jonas Paul, Lukas Schmid, Nico Barthel, Victor Gouromichos, Florian Schmid, Martin Atzmueller, Andreas Theissler
Domain Transfer for Surface Defect Detection using Few-Shot Learning on Scarce Data. INDIN (2023)
Tobias Morocutti, Florian Schmid, Khaled Koutini, Gerhard Widmer
Device-Robust Acoustic Scene Classification via Impulse Response Augmentation. CoRR (2023)
Tobias Morocutti, Florian Schmid, Khaled Koutini, Gerhard Widmer
Device-Robust Acoustic Scene Classification via Impulse Response Augmentation. EUSIPCO (2023)
Khaled Koutini, Shahed Masoudian, Florian Schmid, Hamid Eghbal-zadeh, Jan Schlüter, Gerhard Widmer
Learning General Audio Representations with Large-Scale Training of Patchout Audio Transformers. CoRR (2022)
Florian Schmid, Shahed Masoudian, Khaled Koutini, Gerhard Widmer
Knowledge Distillation from Transformers for Low-Complexity Acoustic Scene Classification. DCASE (2022)
Florian Schmid, Jan Schneidewind, Tobias Wild, Stefan Galka, Lukas Schuhegger, Tobias Vogl
Simulation Based Approach for Reconfiguration and Ramp Up Scenario Analysis in Factory Planning. WSC (2022)
Florian Schmid, Khaled Koutini, Gerhard Widmer
Efficient Large-scale Audio Tagging via Transformer-to-CNN Knowledge Distillation. CoRR (2022)
Khaled Koutini, Shahed Masoudian, Florian Schmid, Hamid Eghbal-zadeh, Jan Schlüter, Gerhard Widmer
Learning General Audio Representations With Large-Scale Training of Patchout Audio Transformers. HEAR@NeurIPS (2021)
Florian Schmid, Justine Thielemann, Anna Mantwill, Jian Xi, Dirk Labudde, Michael Spranger
FoSIL - Offensive language classification of German tweets combining SVMs and deep learning techniques. KONVENS (2019)
Miguel R. Chuapoco, ManKin Choy, Florian Schmid, Ben A. Duffy, Hyun Joo Lee, Jin Hyung Lee
Carbon monofilament electrodes for unit recording and functional MRI in same subjects. NeuroImage 186 (2019)
Ludwig Lausser, Florian Schmid, Lyn-Rouven Schirra, Adalbert F. X. Wilhelm, Hans A. Kestler
Rank-based classifiers for extremely high-dimensional gene expression data. Adv. Data Anal. Classif. 12 (4) (2018)
Franziska Albers, Florian Schmid, Lydia Wachsmuth, Cornelius Faber
Line scanning fMRI reveals earlier onset of optogenetically evoked BOLD response in rat somatosensory cortex as compared to sensory stimulation. NeuroImage 164 (2018)
Christoph Müssel, Florian Schmid, Tamara J. Blätte, Martin Hopfensitz, Ludwig Lausser, Hans A. Kestler
BiTrinA - multiscale binarization and trinarization with quality analysis. Bioinform. 32 (3) (2016)
Lyn-Rouven Schirra, Florian Schmid, Hans A. Kestler, Ludwig Lausser
Interpretable Classifiers in Precision Medicine: Feature Selection and Multi-class Categorization. ANNPR (2016)
Florian Schmid, Matthias Schmid, Christoph Müssel, J. Eric Sträng, Christian Buske, Lars Bullinger, Johann M. Kraus, Hans A. Kestler
GiANT: gene set uncertainty in enrichment analysis. Bioinform. 32 (12) (2016)
Gunnar Völkel, Ludwig Lausser, Florian Schmid, Johann M. Kraus, Hans A. Kestler
distributed computation. Bioinform. 31 (8) (2015)
Ludwig Lausser, Florian Schmid, Matthias Schmid, Hans A. Kestler
Unlabeling data can improve classification accuracy. Pattern Recognit. Lett. 37 (2014)
Florian Schmid, Ludwig Lausser, Hans A. Kestler
Linear Contrast Classifiers in High-Dimensional Spaces. ANNPR (2014)
Florian Schmid, Ludwig Lausser, Hans A. Kestler
Three Transductive Set Covering Machines. GfKl (2012)
Ludwig Lausser, Florian Schmid, Hans A. Kestler
On the Utility of Partially Labeled Data for Classification of Microarray Data. PSL (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Florian Schmid