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Dekobild im Seitenkopf ISMLL
 
Personen: Rafael Rêgo Drumond
Sprechstunde:
C136 Spl, n. V.
Telefon, Fax, E-Mail:
Telefon: 05121 / 883-40374
E-Mail:
Postanschrift:
Wirtschaftsinformatik und Maschinelles Lernen
Universitätsplatz 1
Universität Hildesheim
31141 Hildesheim
Besuchsadresse:
Wirtschaftsinformatik und Maschinelles Lernen
Samelsonplatz 1
Universität Hildesheim
31141 Hildesheim

Publikationen:

  • 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.. PDF
  • 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). PDF
  • 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). PDF
  • 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. PDF
  • 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.