Matthias Schonlau

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 19

Top Topics

Top Venues

PeerJ Comput. Sci.

Publications

Tiancheng Yang, Ilia Sucholutsky, Kuang-Yu Jen, Matthias Schonlau
exKidneyBERT: a language model for kidney transplant pathology reports and the crucial role of extended vocabularies. PeerJ Comput. Sci. 10 (2024)
Matthias Schonlau, Julia Weiß, Jan Marquardt
Multi-label classification of open-ended questions with BERT. CoRR (2023)
Ilia Sucholutsky, Matthias Schonlau
SecDD: Efficient and Secure Method for Remotely Training Neural Networks (Student Abstract). AAAI (2021)
Ilia Sucholutsky, Matthias Schonlau
'Less Than One'-Shot Learning: Learning N Classes From M < N Samples. AAAI (2021)
Ilia Sucholutsky, Nam-Hwui Kim, Ryan P. Browne, Matthias Schonlau
One Line To Rule Them All: Generating LO-Shot Soft-Label Prototypes. CoRR (2021)
Ilia Sucholutsky, Matthias Schonlau
Soft-Label Dataset Distillation and Text Dataset Distillation. IJCNN (2021)
Ilia Sucholutsky, Nam-Hwui Kim, Ryan P. Browne, Matthias Schonlau
One Line To Rule Them All: Generating LO-Shot Soft-Label Prototypes. IJCNN (2021)
Ilia Sucholutsky, Matthias Schonlau
Optimal 1-NN prototypes for pathological geometries. PeerJ Comput. Sci. 7 (2021)
Ilia Sucholutsky, Matthias Schonlau
Optimal 1-NN Prototypes for Pathological Geometries. CoRR (2020)
Ilia Sucholutsky, Matthias Schonlau
'Less Than One'-Shot Learning: Learning N Classes From M<N Samples. CoRR (2020)
Ilia Sucholutsky, Matthias Schonlau
SecDD: Efficient and Secure Method for Remotely Training Neural Networks. CoRR (2020)
Ilia Sucholutsky, Matthias Schonlau
Improving Dataset Distillation. CoRR (2019)
Hyukjun Gweon, Matthias Schonlau, Stefan H. Steiner
Nearest labelset using double distances for multi-label classification. PeerJ Comput. Sci. 5 (2019)
Hyukjun Gweon, Matthias Schonlau, Stefan H. Steiner
The k conditional nearest neighbor algorithm for classification and class probability estimation. PeerJ Comput. Sci. 5 (2019)
Ilia Sucholutsky, Apurva Narayan, Matthias Schonlau, Sebastian Fischmeister
Deep Learning for System Trace Restoration. IJCNN (2019)
Ilia Sucholutsky, Apurva Narayan, Matthias Schonlau, Sebastian Fischmeister
Deep Learning for System Trace Restoration. CoRR (2019)
Ilia Sucholutsky, Apurva Narayan, Matthias Schonlau, Sebastian Fischmeister
Pay attention and you won't lose it: a deep learning approach to sequence imputation. PeerJ Comput. Sci. 5 (2019)
Hyukjun Gweon, Matthias Schonlau, Stefan H. Steiner
Nearest Labelset Using Double Distances for Multi-label Classification. CoRR (2017)
James R. Gattiker, Michael S. Hamada, David Higdon, Matthias Schonlau, William J. Welch
Using a Gaussian Process as a Nonparametric Regression Model. Qual. Reliab. Eng. Int. 32 (2) (2016)
Matthias Schonlau
Visualizing non-hierarchical and hierarchical cluster analyses with clustergrams. Comput. Stat. 19 (1) (2004)
Matthias Schonlau, Martin Theus
Detecting masquerades in intrusion detection based on unpopular commands. Inf. Process. Lett. 76 (1-2) (2000)
Nandini Raghavan, Robert M. Bell, Matthias Schonlau
Defection detection: using activity profiles to predict ISP customer vulnerability. KDD (2000)
William DuMouchel, Matthias Schonlau
A Fast Computer Intrusion Detection Algorithm Based on Hypothesis Testing of Command Transition Probabilities. KDD (1998)
Donald R. Jones, Matthias Schonlau, William J. Welch
Efficient Global Optimization of Expensive Black-Box Functions. J. Glob. Optim. 13 (4) (1998)