Matthias Schonlau

According to our database, Matthias Schonlau authored at least 19 papers between 1998 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

exKidneyBERT: a language model for kidney transplant pathology reports and the crucial role of extended vocabularies.

Tiancheng Yang, Ilia Sucholutsky, Kuang-Yu Jen, Matthias Schonlau

PeerJ Comput. Sci., 2024

2023

Multi-label classification of open-ended questions with BERT.

Matthias Schonlau, Julia Weiß, Jan Marquardt

CoRR, 2023

2021

Optimal 1-NN prototypes for pathological geometries.

Ilia Sucholutsky, Matthias Schonlau

PeerJ Comput. Sci., 2021

Soft-Label Dataset Distillation and Text Dataset Distillation.

Ilia Sucholutsky, Matthias Schonlau

Proceedings of the International Joint Conference on Neural Networks, 2021

One Line To Rule Them All: Generating LO-Shot Soft-Label Prototypes.

Ilia Sucholutsky, Nam-Hwui Kim, Ryan P. Browne, Matthias Schonlau

Proceedings of the International Joint Conference on Neural Networks, 2021

SecDD: Efficient and Secure Method for Remotely Training Neural Networks (Student Abstract).

Ilia Sucholutsky, Matthias Schonlau

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

'Less Than One'-Shot Learning: Learning N Classes From M < N Samples.

Ilia Sucholutsky, Matthias Schonlau

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

SecDD: Efficient and Secure Method for Remotely Training Neural Networks.

Ilia Sucholutsky, Matthias Schonlau

CoRR, 2020

2019

Pay attention and you won't lose it: a deep learning approach to sequence imputation.

Ilia Sucholutsky, Apurva Narayan, Matthias Schonlau, Sebastian Fischmeister

PeerJ Comput. Sci., 2019

Nearest labelset using double distances for multi-label classification.

Hyukjun Gweon, Matthias Schonlau, Stefan H. Steiner

PeerJ Comput. Sci., 2019

The k conditional nearest neighbor algorithm for classification and class probability estimation.

Hyukjun Gweon, Matthias Schonlau, Stefan H. Steiner

PeerJ Comput. Sci., 2019

Improving Dataset Distillation.

Ilia Sucholutsky, Matthias Schonlau

CoRR, 2019

Deep Learning for System Trace Restoration.

Ilia Sucholutsky, Apurva Narayan, Matthias Schonlau, Sebastian Fischmeister

Proceedings of the International Joint Conference on Neural Networks, 2019

2016

Using a Gaussian Process as a Nonparametric Regression Model.

James R. Gattiker, Michael S. Hamada, David Higdon, Matthias Schonlau, William J. Welch

Qual. Reliab. Eng. Int., 2016

2004

Visualizing non-hierarchical and hierarchical cluster analyses with clustergrams.

Matthias Schonlau

Comput. Stat., 2004

2000

Detecting masquerades in intrusion detection based on unpopular commands.

Matthias Schonlau, Martin Theus

Inf. Process. Lett., 2000

Defection detection: using activity profiles to predict ISP customer vulnerability.

Nandini Raghavan, Robert M. Bell, Matthias Schonlau

Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

1998

Efficient Global Optimization of Expensive Black-Box Functions.

Donald R. Jones, Matthias Schonlau, William J. Welch

J. Glob. Optim., 1998

A Fast Computer Intrusion Detection Algorithm Based on Hypothesis Testing of Command Transition Probabilities.

William DuMouchel, Matthias Schonlau

Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998