Segui
Lukas Tuggener
Lukas Tuggener
PhD candiate USI, Researcher ZHAW
Email verificata su zhaw.ch - Home page
Titolo
Citata da
Citata da
Anno
Automated machine learning in practice: state of the art and recent results
L Tuggener, M Amirian, K Rombach, S Lörwald, A Varlet, C Westermann, ...
2019 6th Swiss Conference on Data Science (SDS), 31-36, 2019
972019
Deep watershed detector for music object recognition
L Tuggener, I Elezi, J Schmidhuber, T Stadelmann
arXiv preprint arXiv:1805.10548, 2018
532018
Deepscores-a dataset for segmentation, detection and classification of tiny objects
L Tuggener, I Elezi, J Schmidhuber, M Pelillo, T Stadelmann
2018 24th International Conference on Pattern Recognition (ICPR), 3704-3709, 2018
522018
Deep learning in the wild
T Stadelmann, M Amirian, I Arabaci, M Arnold, GF Duivesteijn, I Elezi, ...
Artificial Neural Networks in Pattern Recognition: 8th IAPR TC3 Workshop …, 2018
422018
Is it enough to optimize CNN architectures on ImageNet?
L Tuggener, J Schmidhuber, T Stadelmann
Frontiers in Computer Science 4, 1041703, 2022
23*2022
The DeepScoresV2 dataset and benchmark for music object detection
L Tuggener, YP Satyawan, A Pacha, J Schmidhuber, T Stadelmann
2020 25th International Conference on Pattern Recognition (ICPR), 9188-9195, 2021
232021
Design patterns for resource-constrained automated deep-learning methods
L Tuggener, M Amirian, F Benites, P von Däniken, P Gupta, FP Schilling, ...
AI 1 (4), 510-538, 2020
72020
Two to trust: Automl for safe modelling and interpretable deep learning for robustness
M Amirian, L Tuggener, R Chavarriaga, YP Satyawan, FP Schilling, ...
Trustworthy AI-Integrating Learning, Optimization and Reasoning: First …, 2021
62021
Deep watershed detector for music object recognition. arXiv 2018
L Tuggener, I Elezi, J Schmidhuber, T Stadelmann
arXiv preprint arXiv:1805.10548, 2018
52018
DeepScores and Deep Watershed Detection: current state and open issues
I Elezi, L Tuggener, M Pelillo, T Stadelmann
arXiv preprint arXiv:1810.05423, 2018
42018
Efficient deep CNNs for cross-modal automated computer vision under time and space constraints
M Amirian, K Rombach, L Tuggener, FP Schilling, T Stadelmann
ECML-PKDD 2019, Würzburg, Germany, 16-19 September 2019, 2019
32019
Real world music object recognition
L Tuggener, R Emberger, A Ghosh, P Sager, YP Satyawan, J Montoya, ...
Transactions of the International Society for Music Information Retrieval 7 …, 2024
22024
Video object detection for privacy-preserving patient monitoring in intensive care
R Emberger, JM Boss, D Baumann, M Seric, S Huo, L Tuggener, E Keller, ...
2023 10th IEEE Swiss Conference on Data Science (SDS), 85-88, 2023
12023
So you want your private LLM at home?: a survey and benchmark of methods for efficient GPTs
L Tuggener, P Sager, Y Taoudi-Benchekroun, BF Grewe, T Stadelmann
11th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 30-31 …, 2024
2024
Efficient Rotation Invariance in Deep Neural Networks through Artificial Mental Rotation
L Tuggener, T Stadelmann, J Schmidhuber
arXiv preprint arXiv:2311.08525, 2023
2023
DeepScoresV2
L Tuggener, YP Satyawan, A Pacha, J Schmidhuber, T Stadelmann
Zenodo, 2020
2020
Deep Learning in the Wild
M Arnold, GF Duivesteijn, I Elezi, M Geiger, S Lörwald, BB Meier, ...
Artificial Neural Networks in Pattern Recognition: 8th IAPR TC3 Workshop …, 2018
2018
Divide et Impera
L Tuggener, H Ungricht
2012
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–18