People:
Johannes Burchert
Office hour:
C207 Spl, upon request
C207 Spl, upon request
Phone, Fax, Email:
Phone: | +49 5121 / 883-40372 |
e-mail: | ![]() |
Postal address:
Information Systems and Machine Learning Lab
Universitätsplatz 1
University of Hildesheim
31141 Hildesheim
Germany
Information Systems and Machine Learning Lab
Universitätsplatz 1
University of Hildesheim
31141 Hildesheim
Germany
Visitor address:
Information Systems and Machine Learning Lab
Samelsonplatz 1
University of Hildesheim
31141 Hildesheim
Germany
Information Systems and Machine Learning Lab
Samelsonplatz 1
University of Hildesheim
31141 Hildesheim
Germany
Publications:
- Johannes Burchert, Thorben Werner, Vijaya Krishna Yalavarthi, Diego Coello de Portugal, Maximilian Stubbemann, Lars Schmidt-Thieme (2024):
Are EEG Sequences Time Series? EEG Classification with Time Series Models and Joint Subject Training, in arXiv:2404.06966. . - Vijaya Krishna Yalavarthi, Kiran Madhusudhanan, Randolf Scholz, Nourhan Ahmed, Johannes Burchert, Shayan Jawed, Stefan Born, Lars Schmidt-Thieme (2024):
GraFITi: Graphs for Forecasting Irregularly Sampled Time SeriesTripletformer for Probabilistic Interpolation of Irregularly sampled Time Series, in Proceedings of the AAAI conference on artificial intelligence (AAAI, oral). - Vijaya Krishna Yalavarthi, Johannes Burchert, Lars Schmidt-Thieme (2023):
Tripletformer for Probabilistic Interpolation of Irregularly sampled Time Series, in IEEE International Conference on Big Data (BigData). - Vijaya Krishna Yalavarthi, Johannes Burchert, Lars Schmidt-Thieme (2022):
DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time Series, in IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA). - Lukas Brinkmeyer, Rafael Rego Drumond, Johannes Burchert, Lars Schmidt-Thieme (2022):
Few-Shot Forecasting of Time-Series with Heterogeneous Channels, in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. - Kiran Madhusudhanan, Johannes Burchert, Nghia Duong-Trung, Stefan Born, Lars Schmidt-Thieme (2021):
Yformer: U-Net Inspired Transformer Architecture for Far Horizon Time Series Forecasting, in arXiv.