Florian Schmid

Orcid: 0009-0007-4988-6067

According to our database1, Florian Schmid authored at least 26 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Dynamic Convolutional Neural Networks as Efficient Pre-Trained Audio Models.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Effective Pre-Training of Audio Transformers for Sound Event Detection.
CoRR, 2024

Estimated Audio-Caption Correspondences Improve Language-Based Audio Retrieval.
CoRR, 2024

Improving Audio Spectrogram Transformers for Sound Event Detection Through Multi-Stage Training.
CoRR, 2024

Data-Efficient Low-Complexity Acoustic Scene Classification in the DCASE 2024 Challenge.
CoRR, 2024

2023
Domain Transfer for Surface Defect Detection using Few-Shot Learning on Scarce Data.
Proceedings of the 21st IEEE International Conference on Industrial Informatics, 2023

Efficient Large-Scale Audio Tagging Via Transformer-to-CNN Knowledge Distillation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Low-Complexity Audio Embedding Extractors.
Proceedings of the 31st European Signal Processing Conference, 2023

Device-Robust Acoustic Scene Classification via Impulse Response Augmentation.
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.
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.
Proceedings of the Winter Simulation Conference, 2022

Knowledge Distillation from Transformers for Low-Complexity Acoustic Scene Classification.
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.
Proceedings of the HEAR: Holistic Evaluation of Audio Representations, 2021

2019
Carbon monofilament electrodes for unit recording and functional MRI in same subjects.
NeuroImage, 2019

FoSIL - Offensive language classification of German tweets combining SVMs and deep learning techniques.
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.
NeuroImage, 2018

Rank-based classifiers for extremely high-dimensional gene expression data.
Adv. Data Anal. Classif., 2018

2016
Robust and interpretable classification models for molecular high-throughput data.
PhD thesis, 2016

GiANT: gene set uncertainty in enrichment analysis.
Bioinform., 2016

BiTrinA - multiscale binarization and trinarization with quality analysis.
Bioinform., 2016

Interpretable Classifiers in Precision Medicine: Feature Selection and Multi-class Categorization.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2016

2015
Sputnik: <i>ad hoc</i> distributed computation.
Bioinform., 2015

2014
Unlabeling data can improve classification accuracy.
Pattern Recognit. Lett., 2014

Linear Contrast Classifiers in High-Dimensional Spaces.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2014

2012
Three Transductive Set Covering Machines.
Proceedings of the Data Analysis, Machine Learning and Knowledge Discovery, 2012

2011
On the Utility of Partially Labeled Data for Classification of Microarray Data.
Proceedings of the Partially Supervised Learning - First IAPR TC3 Workshop, 2011


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