Daniel Boiar

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 6

Top Topics

Detecting Outliers

Assembly Process

Differentially Private

Top Venues

ICDM (Workshops)

PKDD/ECML Workshops (1)

Publications

Timon Sachweh, Daniel Boiar, Thomas Liebig
Distributed LSTM-Learning from Differentially Private Label Proportions. CoRR (2023)
Mikhail Polikarpov, Yousuf Mehmood, Daniel Boiar, Lukas Schulte, Jochen Deuse
A Cost-Efficient Robotic Through-Hole Assembly System for Dual-Pin Component Insertion. ICCMA (2023)
Timon Sachweh, Daniel Boiar, Thomas Liebig
Distributed LSTM-Learning from Differentially Private Label Proportions. ICDM (Workshops) (2022)
Daniel Boiar, Thomas Liebig, Erich Schubert
LOSDD: Leave-Out Support Vector Data Description for Outlier Detection. CoRR (2022)
Daniel Boiar, Nils Killich, Lukas Schulte, Victor Hernandez Moreno, Jochen Deuse, Thomas Liebig
Forecasting Algae Growth in Photo-Bioreactors Using Attention LSTMs. SEFM Workshops (2022)
Timon Sachweh, Daniel Boiar, Thomas Liebig
Differentially Private Learning from Label Proportions. PKDD/ECML Workshops (1) (2021)