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Matthias Schonlau
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2020 – today
- 2024
- [j9]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: e1888 (2024) - 2023
- [i8]Matthias Schonlau, Julia Weiß, Jan Marquardt
Multi-label classification of open-ended questions with BERT. CoRR abs/2304.02945 (2023) - 2021
- [j8]Ilia Sucholutsky
Optimal 1-NN prototypes for pathological geometries. PeerJ Comput. Sci. 7: e464 (2021) - [c7]Ilia Sucholutsky, Matthias Schonlau
'Less Than One'-Shot Learning: Learning N Classes From M < N Samples. AAAI 2021: 9739-9746 - [c6]Ilia Sucholutsky, Matthias Schonlau
SecDD: Efficient and Secure Method for Remotely Training Neural Networks (Student Abstract). AAAI 2021: 15897-15898 - [c5]Ilia Sucholutsky, Nam-Hwui Kim
One Line To Rule Them All: Generating LO-Shot Soft-Label Prototypes. IJCNN 2021: 1-8 - [c4]Ilia Sucholutsky, Matthias Schonlau
Soft-Label Dataset Distillation and Text Dataset Distillation. IJCNN 2021: 1-8 - [i7]Ilia Sucholutsky
One Line To Rule Them All: Generating LO-Shot Soft-Label Prototypes. CoRR abs/2102.07834 (2021) - 2020
- [i6]Ilia Sucholutsky
'Less Than One'-Shot Learning: Learning N Classes From M<N Samples. CoRR abs/2009.08449 (2020) - [i5]Ilia Sucholutsky, Matthias Schonlau:
SecDD: Efficient and Secure Method for Remotely Training Neural Networks. CoRR abs/2009.09155 (2020) - [i4]Ilia Sucholutsky, Matthias Schonlau:
Optimal 1-NN Prototypes for Pathological Geometries. CoRR abs/2011.00228 (2020)
2010 – 2019
- 2019
- [j7]Hyukjun Gweon, Matthias Schonlau
The k conditional nearest neighbor algorithm for classification and class probability estimation. PeerJ Comput. Sci. 5: e194 (2019) - [j6]Ilia Sucholutsky
Pay attention and you won't lose it: a deep learning approach to sequence imputation. PeerJ Comput. Sci. 5: e210 (2019) - [j5]Hyukjun Gweon, Matthias Schonlau
Nearest labelset using double distances for multi-label classification. PeerJ Comput. Sci. 5: e242 (2019) - [c3]Ilia Sucholutsky
Deep Learning for System Trace Restoration. IJCNN 2019: 1-8 - [i3]Ilia Sucholutsky, Apurva Narayan, Matthias Schonlau, Sebastian Fischmeister:
Deep Learning for System Trace Restoration. CoRR abs/1904.05411 (2019) - [i2]Ilia Sucholutsky
Improving Dataset Distillation. CoRR abs/1910.02551 (2019) - 2017
- [i1]Hyukjun Gweon, Matthias Schonlau, Stefan H. Steiner:
Nearest Labelset Using Double Distances for Multi-label Classification. CoRR abs/1702.04684 (2017) - 2016
- [j4]James R. Gattiker
Using a Gaussian Process as a Nonparametric Regression Model. Qual. Reliab. Eng. Int. 32(2): 673-680 (2016)
2000 – 2009
- 2004
- [j3]Matthias Schonlau
Visualizing non-hierarchical and hierarchical cluster analyses with clustergrams. Comput. Stat. 19(1): 95-111 (2004) - 2000
- [j2]Matthias Schonlau
Detecting masquerades in intrusion detection based on unpopular commands. Inf. Process. Lett. 76(1-2): 33-38 (2000) - [c2]Nandini Raghavan, Robert M. Bell, Matthias Schonlau
Defection detection: using activity profiles to predict ISP customer vulnerability. KDD 2000: 506-515
1990 – 1999
- 1998
- [j1]Donald R. Jones
Efficient Global Optimization of Expensive Black-Box Functions. J. Glob. Optim. 13(4): 455-492 (1998) - [c1]William DuMouchel, Matthias Schonlau:
A Fast Computer Intrusion Detection Algorithm Based on Hypothesis Testing of Command Transition Probabilities. KDD 1998: 189-193
Coauthor Index
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