Stefan Glüge

According to our database, Stefan Glüge authored at least 22 papers between 2010 and 2024.

Collaborative distances:

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

2024

Evaluation of deep learning training strategies for the classification of bone marrow cell images.

Stefan Glüge, Stefan Balabanov, Viktor H. Koelzer, Thomas Ott

Comput. Methods Programs Biomed., January, 2024

Robust Low-Cost Drone Detection and Classification in Low SNR Environments.

Stefan Glüge, Matthias Nyfeler, Ahmad Aghaebrahimian, Nicola Ramagnano, Christof Schüpbach

CoRR, 2024

Event-Based Hand Detection on Neuromorphic Hardware Using a Sigma Delta Neural Network.

Loïc Azzalini, Stefan Glüge, Jens Struckmeier, Yulia Sandamirskaya

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023

Robust Drone Detection and Classification from Radio Frequency Signals Using Convolutional Neural Networks.

Stefan Glüge, Matthias Nyfeler, Nicola Ramagnano, Claus Horn, Christof Schüpbach

Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023

2022

Bias, awareness, and ignorance in deep-learning-based face recognition.

Samuel Wehrli, Corinna Hertweck, Mohammadreza Amirian, Stefan Glüge, Thilo Stadelmann

AI Ethics, 2022

2020

Radiomics approach to quantify shape irregularity from crowd-based qualitative assessment of intracranial aneurysms.

Norman Juchler, Sabine Schilling, Stefan Glüge, Philippe Bijlenga, Daniel A. Rüfenacht, Vartan Kurtcuoglu, Sven Hirsch

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020

Explainable Deep Learning for Medical Time Series Data.

Thomas Frick, Stefan Glüge, Abbas Rahimi, Luca Benini, Thomas Brunschwiler

Proceedings of the Wireless Mobile Communication and Healthcare, 2020

How (Not) to Measure Bias in Face Recognition Networks.

Stefan Glüge, Mohammadreza Amirian, Dandolo Flumini, Thilo Stadelmann

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2020

2019

Economic Measures of Forecast Accuracy for Demand Planning: A Case-Based Discussion.

Thomas Ott, Stefan Glüge, Richard Bödi, Peter Kauf

Proceedings of the Applied Data Science - Lessons Learned for the Data-Driven Business, 2019

2017

Emotion Recognition from Speech using Representation Learning in Extreme Learning Machines.

Stefan Glüge, Ronald Böck, Thomas Ott

Proceedings of the 9th International Joint Conference on Computational Intelligence, 2017

2014

Learning long-term dependencies in segmented-memory recurrent neural networks with backpropagation of error.

Stefan Glüge, Ronald Böck, Günther Palm, Andreas Wendemuth

Neurocomputing, 2014

2013

Implicit sequence learning in recurrent neural networks.

Stefan Glüge

PhD thesis, 2013

Solving Number Series with Simple Recurrent Networks.

Stefan Glüge, Andreas Wendemuth

Proceedings of the Natural and Artificial Models in Computation and Biology, 2013

Dempster-Shafer Theory with Smoothness.

Ronald Böck, Stefan Glüge, Andreas Wendemuth

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2013

Auto-encoder pre-training of segmented-memory recurrent neural networks.

Stefan Glüge, Ronald Böck, Andreas Wendemuth

Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Annotation and Classification of Changes of Involvement in Group Conversation.

Ronald Böck, Stefan Glüge, Ingo Siegert, Andreas Wendemuth

Proceedings of the 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, 2013

2012

Extension of Backpropagation through Time for Segmented-memory Recurrent Neural Networks.

Stefan Glüge, Ronald Böck, Andreas Wendemuth

Proceedings of the IJCCI 2012 - Proceedings of the 4th International Joint Conference on Computational Intelligence, Barcelona, Spain, 5, 2012

Intraindividual and interindividual multimodal emotion analyses in Human-Machine-Interaction.

Ronald Böck, Stefan Glüge, Andreas Wendemuth, Kerstin Limbrecht, Steffen Walter, David Hrabal, Harald C. Traue

Proceedings of the IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, 2012

2011

A Markov Model of Conditional Associative Learning in a Cognitive Behavioural Scenario.

Stefan Glüge, Oussama H. Hamid, Jochen Braun, Andreas Wendemuth

Proceedings of the Foundations on Natural and Artificial Computation, 2011

Segmented-Memory Recurrent Neural Networks versus Hidden Markov Models in Emotion Recognition from Speech.

Stefan Glüge, Ronald Böck, Andreas Wendemuth

Proceedings of the NCTA 2011, 2011

2010

A Simple Recurrent Network for Implicit Learning of Temporal Sequences.

Stefan Glüge, Oussama H. Hamid, Andreas Wendemuth

Cogn. Comput., 2010

Implicit Sequence Learning - A Case Study with a 4-2-4 Encoder Simple Recurrent Network.

Stefan Glüge, Ronald Böck, Andreas Wendemuth

Proceedings of the ICFC-ICNC 2010, 2010