Stefan Harrer

Orcid: 0000-0001-7947-330X

According to our database1, Stefan Harrer authored at least 21 papers between 2016 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
DeepActsNet: A deep ensemble framework combining features from face, hands, and body for action recognition.
Pattern Recognit., July, 2023

Building the Future of Responsible AI: A Reference Architecture for Designing Large Language Model based Agents.
CoRR, 2023

2021
Preictal onset detection through unsupervised clustering for epileptic seizure prediction.
Proceedings of the IEEE International Conference on Digital Health, 2021

Features importance in seizure classification using scalp EEG reduced to single timeseries.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Towards Automated and Marker-Less Parkinson Disease Assessment: Predicting UPDRS Scores Using Sit-Stand Videos.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
DeepActsNet: Spatial and Motion features from Face, Hands, and Body Combined with Convolutional and Graph Networks for Improved Action Recognition.
CoRR, 2020

SeizureNet: Multi-Spectral Deep Feature Learning for Seizure Type Classification.
Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

Ensemble Knowledge Distillation for Learning Improved and Efficient Networks.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

SSHFD: Single Shot Human Fall Detection with Occluded Joints Resilience.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019
SeizureNet: A Deep Convolutional Neural Network for Accurate Seizure Type Classification and Seizure Detection.
CoRR, 2019

Machine Learning for Seizure Type Classification: Setting the benchmark.
CoRR, 2019

Privacy Preserving Human Fall Detection using Video Data.
Proceedings of the Machine Learning for Health Workshop, 2019

ChronoNet: A Deep Recurrent Neural Network for Abnormal EEG Identification.
Proceedings of the Artificial Intelligence in Medicine, 2019

Densely Supervised Grasp Detector (DSGD).
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
GraspNet: An Efficient Convolutional Neural Network for Real-time Grasp Detection for Low-powered Devices.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

A Robust Low-Cost EEG Motor Imagery-Based Brain-Computer Interface.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Deep Learning Enabled Automatic Abnormal EEG Identification.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

EnsembleNet: Improving Grasp Detection using an Ensemble of Convolutional Neural Networks.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Neural-network-based analysis of EEG data using the neuromorphic TrueNorth chip for brain-machine interfaces.
IBM J. Res. Dev., 2017

TrueNorth-enabled real-time classification of EEG data for brain-computer interfacing.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
Decoding EEG and LFP signals using deep learning: heading TrueNorth.
Proceedings of the ACM International Conference on Computing Frontiers, CF'16, 2016


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