Concepedia

Lukas Ruff

LR

13

Publications

1.3K

Citations

12

H-Index

2018

Active since

Affiliations

Technische Universität Berlin(Current)

University of Kaiserslautern

Berlin Institute for the Foundations of Learning and Data

Ludwig-Maximilians-Universität München

Humboldt-Universität zu Berlin

Lukas Ruff is an author at Technische Universität Berlin specializing in engineering, deep learning, and computer science.

Top concepts

EngineeringData ScienceDeep LearningComputer ScienceMachine LearningPattern RecognitionAnomaly DetectionKnowledge DiscoveryMachine VisionImage Analysis

Publications per year

2018–2025

13

Publications

13

Deep One-Class Classification

Lukas Ruff, Robert A. Vandermeulen, Nico Goernitz et al. · International Conference on Machine Learning · 2018 · 873 citations

Engineering, Machine Learning, Data Science +6

From Clustering to Cluster Explanations via Neural Networks

Jacob Kauffmann, Malte Esders, Lukas Ruff et al. · IEEE Transactions on Neural Networks and Learning Systems · 2022 · 105 citations · Full text

Explainable Deep One-Class Classification

Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen et al. · arXiv (Cornell University) · 2020 · 94 citations · Full text

Convolutional Neural Network, Anomaly Detection, Machine Learning +17

Self-Attentive, Multi-Context One-Class Classification for Unsupervised Anomaly Detection on Text

Lukas Ruff, Yury Zemlyanskiy, Robert A. Vandermeulen et al. · 2019 · 57 citations · Full text

Deep Semi-Supervised Anomaly Detection

Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz et al. · arXiv (Cornell University) · 2019 · 31 citations · Full text

Machine Vision, Machine Learning, Data Science +13

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