Florian Schmid

According to our database, Florian Schmid authored at least 22 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Dynamic Convolutional Neural Networks as Efficient Pre-trained Audio Models.

Florian Schmid, Khaled Koutini, Gerhard Widmer

CoRR, 2023

Domain Transfer for Surface Defect Detection using Few-Shot Learning on Scarce Data.

Felix Gerschner, Jonas Paul, Lukas Schmid, Nico Barthel, Victor Gouromichos, Florian Schmid, Martin Atzmueller, Andreas Theissler

Proceedings of the 21st IEEE International Conference on Industrial Informatics, 2023

Efficient Large-Scale Audio Tagging Via Transformer-to-CNN Knowledge Distillation.

Florian Schmid, Khaled Koutini, Gerhard Widmer

Proceedings of the IEEE International Conference on Acoustics, 2023

Low-Complexity Audio Embedding Extractors.

Florian Schmid, Khaled Koutini, Gerhard Widmer

Proceedings of the 31st European Signal Processing Conference, 2023

Device-Robust Acoustic Scene Classification via Impulse Response Augmentation.

Tobias Morocutti, Florian Schmid, Khaled Koutini, Gerhard Widmer

Proceedings of the 31st European Signal Processing Conference, 2023

Oral History auf dem Weg zu Big Data: menschliche und maschinelle Annotation lebensgeschichtlicher Interviews im Vergleich.

Nils Egger, Lina Franken, Dennis Möbus, Florian Schmid

Proceedings of the 9. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2023

2022

Simulation Based Approach for Reconfiguration and Ramp Up Scenario Analysis in Factory Planning.

Florian Schmid, Jan Schneidewind, Tobias Wild, Stefan Galka, Lukas Schuhegger, Tobias Vogl

Proceedings of the Winter Simulation Conference, 2022

Knowledge Distillation from Transformers for Low-Complexity Acoustic Scene Classification.

Florian Schmid, Shahed Masoudian, Khaled Koutini, Gerhard Widmer

Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, 2022

2021

Learning General Audio Representations With Large-Scale Training of Patchout Audio Transformers.

Khaled Koutini, Shahed Masoudian, Florian Schmid, Hamid Eghbal-zadeh, Jan Schlüter, Gerhard Widmer

Proceedings of the HEAR: Holistic Evaluation of Audio Representations, 2021

2019

Carbon monofilament electrodes for unit recording and functional MRI in same subjects.

Miguel R. Chuapoco, ManKin Choy, Florian Schmid, Ben A. Duffy, Hyun Joo Lee, Jin Hyung Lee

NeuroImage, 2019

FoSIL - Offensive language classification of German tweets combining SVMs and deep learning techniques.

Florian Schmid, Justine Thielemann, Anna Mantwill, Jian Xi, Dirk Labudde, Michael Spranger

Proceedings of the 15th Conference on Natural Language Processing, 2019

2018

Line scanning fMRI reveals earlier onset of optogenetically evoked BOLD response in rat somatosensory cortex as compared to sensory stimulation.

Franziska Albers, Florian Schmid, Lydia Wachsmuth, Cornelius Faber

NeuroImage, 2018

Rank-based classifiers for extremely high-dimensional gene expression data.

Ludwig Lausser, Florian Schmid, Lyn-Rouven Schirra, Adalbert F. X. Wilhelm, Hans A. Kestler

Adv. Data Anal. Classif., 2018

2016

Robust and interpretable classification models for molecular high-throughput data.

Florian Schmid

PhD thesis, 2016

GiANT: gene set uncertainty in enrichment analysis.

Florian Schmid, Matthias Schmid, Christoph Müssel, J. Eric Sträng, Christian Buske, Lars Bullinger, Johann M. Kraus, Hans A. Kestler

Bioinform., 2016

BiTrinA - multiscale binarization and trinarization with quality analysis.

Christoph Müssel, Florian Schmid, Tamara J. Blätte, Martin Hopfensitz, Ludwig Lausser, Hans A. Kestler

Bioinform., 2016

Interpretable Classifiers in Precision Medicine: Feature Selection and Multi-class Categorization.

Lyn-Rouven Schirra, Florian Schmid, Hans A. Kestler, Ludwig Lausser

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2016

2015

Sputnik: <i>ad hoc</i> distributed computation.

Gunnar Völkel, Ludwig Lausser, Florian Schmid, Johann M. Kraus, Hans A. Kestler

Bioinform., 2015

2014

Unlabeling data can improve classification accuracy.

Ludwig Lausser, Florian Schmid, Matthias Schmid, Hans A. Kestler

Pattern Recognit. Lett., 2014

Linear Contrast Classifiers in High-Dimensional Spaces.

Florian Schmid, Ludwig Lausser, Hans A. Kestler

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2014

2012

Three Transductive Set Covering Machines.

Florian Schmid, Ludwig Lausser, Hans A. Kestler

Proceedings of the Data Analysis, Machine Learning and Knowledge Discovery, 2012

2011

On the Utility of Partially Labeled Data for Classification of Microarray Data.

Ludwig Lausser, Florian Schmid, Hans A. Kestler

Proceedings of the Partially Supervised Learning - First IAPR TC3 Workshop, 2011