People:
Rafael Rêgo Drumond
Office hour:
C136 Spl, upon request
C136 Spl, upon request
Phone, Fax, Email:
Phone: | +49 5121/ 883-40374 |
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:
- Rafael Rêgo Drumond, Lukas Brinkmeyer, Josif Grabocka, Lars Schmidt-Thieme (2019):
HIDRA: Head Initialization across Dynamic targets for Robust Architectures, in SIAM International Conference on Data Mining (SDM20), 2020.. - Lukas Brinkmeyer, Rafael Rêgo Drumond, Randolf Scholz, Josif Grabocka, Lars Schmidt-Thieme (2019):
Chameleon: Learning Model Initializations Across Tasks With Different Schemas, in arXiv preprint arXiv:1909.13576 (2019).
- Lukas Brinkmeyer, Rafael Rego Drumond, Lars Schmidt-Thieme (2023):
Few-shot human motion prediction for heterogeneous sensors, in arXiv:2212.11771 (Accepted at PAKDD 2023). - 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. - Torben Windler, Junaid Ahmed Ghauri, Muhammad Usman Syed, Tamara Belostotskaya, Valerie Chikukwa, Rafael Rego Drumond (2020):
End-to-End Motion Classification Using Smartwatch Sensor Data, in Archives of Data Science, Series A. - Riccardo Lucato, Edgar Jimenez, Eduardo Salvador Rocha, Yang Qi, Marina Gavrilyuk, Rafael Rego Drumond (2020):
Algorithmic Trading Using Long Short-Term Memory Network and Portfolio Optimization, in Archives of Data Science, Series A.
- Mofassir ul Islam Arif, Mauricio Camargo , Jan Forkel, Guilherme Holdack, Rafael Drumond, Nicolas Schilling, Tilman Hensch, Ulrich Hegerl, Lars Schmidt-Thieme (2018):
Depression Diagnosis using Deep Convolutional Neural Networks , in Archives of Data Science, Series A.