A Fast Computer Intrusion Detection Algorithm Based on Hypothesis Testing of Command Transition Probabilities. - William DuMouchel; Matthias Schonlau (KDD, 1998)

Efficient Global Optimization of Expensive Black-Box Functions. - Donald R. Jones; Matthias Schonlau; William J. Welch (J. Glob. Optim., 1998)

Defection detection: using activity profiles to predict ISP customer vulnerability. - Nandini Raghavan; Robert M. Bell; Matthias Schonlau (KDD, 2000)

Detecting masquerades in intrusion detection based on unpopular commands. - Matthias Schonlau; Martin Theus (Inf. Process. Lett., 2000)

Visualizing non-hierarchical and hierarchical cluster analyses with clustergrams. - Matthias Schonlau (Comput. Stat., 2004)

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)

Deep Learning for System Trace Restoration. - Ilia Sucholutsky; Apurva Narayan; Matthias Schonlau; Sebastian Fischmeister (IJCNN, 2019)

Improving Dataset Distillation. - Ilia Sucholutsky; Matthias Schonlau (CoRR, 2019)

The k conditional nearest neighbor algorithm for classification and class probability estimation. - Hyukjun Gweon; Matthias Schonlau; Stefan H. Steiner (PeerJ Comput. Sci., 2019)

Nearest labelset using double distances for multi-label classification. - Hyukjun Gweon; Matthias Schonlau; Stefan H. Steiner (PeerJ Comput. Sci., 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)

SecDD: Efficient and Secure Method for Remotely Training Neural Networks. - Ilia Sucholutsky; Matthias Schonlau (CoRR, 2020)

'Less Than One'-Shot Learning: Learning N Classes From M < N Samples. - Ilia Sucholutsky; Matthias Schonlau (AAAI, 2021)

SecDD: Efficient and Secure Method for Remotely Training Neural Networks (Student Abstract). - Ilia Sucholutsky; Matthias Schonlau (AAAI, 2021)

One Line To Rule Them All: Generating LO-Shot Soft-Label Prototypes. - Ilia Sucholutsky; Nam-Hwui Kim; Ryan P. Browne; Matthias Schonlau (IJCNN, 2021)

Soft-Label Dataset Distillation and Text Dataset Distillation. - Ilia Sucholutsky; Matthias Schonlau (IJCNN, 2021)

Optimal 1-NN prototypes for pathological geometries. - Ilia Sucholutsky; Matthias Schonlau (PeerJ Comput. Sci., 2021)

Multi-label classification of open-ended questions with BERT. - Matthias Schonlau; Julia Weiß; Jan Marquardt (CoRR, 2023)

Hammock Plots: Visualizing Categorical and Numerical Variables. - Matthias Schonlau (J. Comput. Graph. Stat., 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)

The Hammock Plot: Where Categorical and Numerical Data Relax Together. - Matthias Schonlau; Tiancheng Yang (CoRR, 2025)