Robert A. Vandermeulen

Author

University of Kaiserslautern ORCID

Also Known As

R VANDERMEULEN, R Vandermeulen, R. Vandermeulen, Robert A. Vandermeulen, Robert Vandermeulen, Vandermeulen, Robert A.

Publications

1.5K

Citations

H-Index

Concepts

All Affiliations

University of Kaiserslautern Technische Universität Berlin Singapore University of Technology and Design Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau

About

Robert A. Vandermeulen is an author at University of Kaiserslautern specializing in engineering, data science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	10	10	1.2K
2	Cognitive Science	2	2	29
3	Language Studies	1	1	14
4	Social Sciences	1	1	15
5	Chemistry	1	1	97

Robert A. Vandermeulen

Publications

1.3K

Citations

H-Index

Page 1

	Year	Citations
Deep One-Class Classification Lukas Ruff, Robert A. Vandermeulen, Nico Goernitz, International Conference on Machine Learning EngineeringMachine LearningData SciencePattern RecognitionDeep One-class Classification	2018	873
Machine Learning in Thermodynamics: Prediction of Activity Coefficients by Matrix Completion Fabian Jirasek, Rodrigo Alves, Julie Damay, The Journal of Physical Chemistry Letters EngineeringMachine LearningPrediction MethodsMatrix CompletionComputational Chemistry	2020	97
Explainable Deep One-Class Classification Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, arXiv (Cornell University) Convolutional Neural NetworkAnomaly DetectionMachine LearningEngineeringImage Analysis	2020	94
Self-Attentive, Multi-Context One-Class Classification for Unsupervised Anomaly Detection on Text Lukas Ruff, Yury Zemlyanskiy, Robert A. Vandermeulen,	2019	57
Deep Semi-Supervised Anomaly Detection Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz, arXiv (Cornell University) Machine VisionMachine LearningData ScienceData MiningPattern Recognition	2019	31
Explainable Deep One-Class Classification Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, arXiv (Cornell University) Convolutional Neural NetworkAnomaly DetectionMachine LearningEngineeringImage Analysis	2021	18
Human alignment of neural network representations Lukas Muttenthaler, Jonas Dippel, Lorenz Linhardt, arXiv (Cornell University) EngineeringMachine LearningObject CategorizationRecurrent Neural NetworkSocial Sciences	2022	15
Consistency of Robust Kernel Density Estimators Robert A. Vandermeulen, Clayton Scott Conference on Learning Theory Traditional KdeDensity EstimationEngineeringData ScienceRobust Statistic	2013	14
Rethinking Assumptions in Deep Anomaly Detection Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, arXiv (Cornell University) Image ClassificationAnomaly DetectionMachine LearningData ScienceImage Analysis	2020	14
VICE: Variational Interpretable Concept Embeddings Lukas Muttenthaler, Charles Zheng, Patrick McClure, arXiv (Cornell University) Artificial IntelligenceStructured PredictionEngineeringMachine LearningCognition	2022	14

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