Stephan Vogt
Orcid: 0000-0002-3230-8822
According to our database1,
Stephan Vogt
authored at least 10 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
2016
2017
2018
2019
2020
2021
2022
2023
2024
0
1
2
3
4
1
1
2
1
1
3
1
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
2023
Multi-Task Representation Learning for Renewable-Power Forecasting: A Comparative Analysis of Unified Autoencoder Variants and Task-Embedding Dimensions.
Mach. Learn. Knowl. Extr., June, 2023
2022
CoRR, 2022
Unified Autoencoder with Task Embeddings for Multi-Task Learning in Renewable Power Forecasting.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
2021
Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time Series Forecast.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021
Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2021) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), 2021
The Problem with Real-World Novelty Detection - Issues in Multivariate Probabilistic Models.
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2021
2020
CoRR, 2020
2016
A review of deterministic error scores and normalization techniques for power forecasting algorithms.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016