most citedDigitizing Handwriting with a Sensor Pen: A Writer-Independent Recognizer

14 citations · 32 across the 5 of their papers we have counts for

collaborators

9 papers

cs.LG202114 cited

Digitizing Handwriting with a Sensor Pen: A Writer-Independent Recognizer

Mohamad Wehbi, Tim Hamann, Jens Barth +1

Online handwriting recognition has been studied for a long time with only few practicable results when writing on normal paper. Previous approaches using sensor-based devices encou…

cs.LG2021

Towards an IMU-based Pen Online Handwriting Recognizer

Mohamad Wehbi, Tim Hamann, Jens Barth +3

Most online handwriting recognition systems require the use of specific writing surfaces to extract positional data. In this paper we present a online handwriting recognition syste…

cs.LG20219 cited

Exploring Misclassifications of Robust Neural Networks to Enhance Adversarial Attacks

Leo Schwinn, René Raab, An Nguyen +2

Progress in making neural networks more robust against adversarial attacks is mostly marginal, despite the great efforts of the research community. Moreover, the robustness evaluat…

eess.IV20211 cited

Rigid and non-rigid motion compensation in weight-bearing cone-beam CT of the knee using (noisy) inertial measurements

Jennifer Maier, Marlies Nitschke, Jang-Hwan Choi +4

Involuntary subject motion is the main source of artifacts in weight-bearing cone-beam CT of the knee. To achieve image quality for clinical diagnosis, the motion needs to be compe…

cs.LG20212 cited

Identifying Untrustworthy Predictions in Neural Networks by Geometric Gradient Analysis

Leo Schwinn, An Nguyen, René Raab +5

The susceptibility of deep neural networks to untrustworthy predictions, including out-of-distribution (OOD) data and adversarial examples, still prevent their widespread use in sa…

cs.LG20206 cited

Time Matters: Time-Aware LSTMs for Predictive Business Process Monitoring

An Nguyen, Srijeet Chatterjee, Sven Weinzierl +3

Predictive business process monitoring (PBPM) aims to predict future process behavior during ongoing process executions based on event log data. Especially, techniques for the next…