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Stefan Glüge
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2020 – today
- 2024
- [j5]Stefan Glüge
, Stefan Balabanov, Viktor H. Koelzer
Evaluation of deep learning training strategies for the classification of bone marrow cell images. Comput. Methods Programs Biomed. 243: 107924 (2024) - [c14]Loïc Azzalini, Stefan Glüge, Jens Struckmeier, Yulia Sandamirskaya:
Event-Based Hand Detection on Neuromorphic Hardware Using a Sigma Delta Neural Network. ICANN (10) 2024: 353-364 - [i1]Stefan Glüge, Matthias Nyfeler, Ahmad Aghaebrahimian, Nicola Ramagnano, Christof Schüpbach:
Robust Low-Cost Drone Detection and Classification in Low SNR Environments. CoRR abs/2406.18624 (2024) - 2023
- [c13]Stefan Glüge, Matthias Nyfeler, Nicola Ramagnano, Claus Horn
Robust Drone Detection and Classification from Radio Frequency Signals Using Convolutional Neural Networks. IJCCI 2023: 496-504 - 2022
- [j4]Samuel Wehrli
Bias, awareness, and ignorance in deep-learning-based face recognition. AI Ethics 2(3): 509-522 (2022) - 2020
- [j3]Norman Juchler
Radiomics approach to quantify shape irregularity from crowd-based qualitative assessment of intracranial aneurysms. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 8(5): 538-546 (2020) - [c12]Stefan Glüge
How (Not) to Measure Bias in Face Recognition Networks. ANNPR 2020: 125-137 - [c11]Thomas Frick, Stefan Glüge, Abbas Rahimi
Explainable Deep Learning for Medical Time Series Data. MobiHealth 2020: 244-256
2010 – 2019
- 2019
- [p1]Thomas Ott, Stefan Glüge, Richard Bödi, Peter Kauf:
Economic Measures of Forecast Accuracy for Demand Planning: A Case-Based Discussion. Applied Data Science 2019: 371-386 - 2017
- [c10]Stefan Glüge, Ronald Böck, Thomas Ott:
Emotion Recognition from Speech using Representation Learning in Extreme Learning Machines. IJCCI 2017: 179-185 - 2014
- [j2]Stefan Glüge
Learning long-term dependencies in segmented-memory recurrent neural networks with backpropagation of error. Neurocomputing 141: 54-64 (2014) - 2013
- [b1]Stefan Glüge:
Implicit sequence learning in recurrent neural networks. Otto von Guericke University Magdeburg, 2013 - [c9]Ronald Böck, Stefan Glüge
Annotation and Classification of Changes of Involvement in Group Conversation. ACII 2013: 803-808 - [c8]Stefan Glüge, Ronald Böck, Andreas Wendemuth:
Auto-encoder pre-training of segmented-memory recurrent neural networks. ESANN 2013 - [c7]Ronald Böck, Stefan Glüge, Andreas Wendemuth:
Dempster-Shafer Theory with Smoothness. IUKM 2013: 13-22 - [c6]Stefan Glüge
Solving Number Series with Simple Recurrent Networks. IWINAC (1) 2013: 412-420 - 2012
- [c5]Ronald Böck, Stefan Glüge
Intraindividual and interindividual multimodal emotion analyses in Human-Machine-Interaction. CogSIMA 2012: 59-64 - [c4]Stefan Glüge, Ronald Böck, Andreas Wendemuth:
Extension of Backpropagation through Time for Segmented-memory Recurrent Neural Networks. IJCCI 2012: 451-456 - 2011
- [c3]Stefan Glüge, Ronald Böck, Andreas Wendemuth:
Segmented-Memory Recurrent Neural Networks versus Hidden Markov Models in Emotion Recognition from Speech. IJCCI (NCTA) 2011: 308-315 - [c2]Stefan Glüge
A Markov Model of Conditional Associative Learning in a Cognitive Behavioural Scenario. IWINAC (1) 2011: 10-19 - 2010
- [j1]Stefan Glüge
A Simple Recurrent Network for Implicit Learning of Temporal Sequences. Cogn. Comput. 2(4): 265-271 (2010) - [c1]Stefan Glüge, Ronald Böck, Andreas Wendemuth:
Implicit Sequence Learning - A Case Study with a 4-2-4 Encoder Simple Recurrent Network. IJCCI (ICFC-ICNC) 2010: 279-288
Coauthor Index
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last updated on 2024-10-07 21:24 CEST by the dblp team
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