20082019
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Fingerprint Dive into the research topics where Roman Kern is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 6 Similar Profiles
Reinforcement learning Engineering & Materials Science
Telemetering Engineering & Materials Science
pattern recognition Physics & Astronomy
image processing Physics & Astronomy
Feature extraction Engineering & Materials Science
Image processing Engineering & Materials Science
Semantics Engineering & Materials Science
Personnel Engineering & Materials Science

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Research Output 2008 2019

Activity Archetypes in Question-and-Answer (Q&A) Websites—A Study of 50 Stack Exchange Instances

Teixeira dos Santos, T., Walk, S., Kern, R., Strohmaier, M. & Helic, D., 2019, In : ACM Transactions on Social Computing. 2, 1, 23 p., 4.

Research output: Contribution to journalArticleResearchpeer-review

An Information-Theoretic Measure for Pattern Similarity in Analog Wafermaps

Geiger, B., Schrunner, S. & Kern, R., Apr 2019.

Research output: Contribution to conferenceAbstractResearchpeer-review

Open Access
File

Chatbots Assisting German Business Management Applications

Steinbauer, F., Kern, R. & Kröll, M., 2019, Advances and Trends in Artificial Intelligence. From Theory to Practice. Wotawa, F., Friedrich, G., Pill, I., Koitz-Hristov, R. & Ali, M. (eds.). Cham: Springer, p. 717-729 12 p. ( Lecture Notes in Computer Science ; vol. 11606).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Personnel
Industry
Productivity

Feature Extraction From Analog Wafermaps: A Comparison of Classical Image Processing and a Deep Generative Model

Teixeira dos Santos, T. F., Schrunner, S., Geiger, B., Pfeiler, O., Zernig, A., Kaestner, A. & Kern, R., May 2019, In : IEEE transactions on semiconductor manufacturing. 32, 2, p. 190-198 9 p., 8689102.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File
pattern recognition
image processing
Feature extraction
Image processing
analogs

Formula RL: Deep Reinforcement Learning for Autonomous Racing using Telemetry Data

Remonda, A., Krebs, S., Veas, E. E., Luzhnica, G. & Kern, R., 2019.

Research output: Contribution to conferencePaperResearchpeer-review

Open Access
Reinforcement learning
Telemetering
Railroad cars
Passenger cars
Experiments