David Muhr

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 11

Top Topics

Outlier Detection

Manufacturing Process

Probabilistic Interpretation

Directed Acyclic Graph

Top Venues

Publications

David Muhr, Michael Affenzeller, Josef Küng
A Probabilistic Transformation of Distance-Based Outliers. Mach. Learn. Knowl. Extr. 5 (3) (2023)
David Muhr, Michael Affenzeller, Josef Küng
Implicit Directed Acyclic Graphs (DAGs) for Parallel Outlier/Anomaly Detection Ensembles. AIAI (2) (2023)
David Muhr, Michael Affenzeller, Josef Küng
Probabilistic Distance-Based Outlier Detection. CoRR (2023)
David Muhr, Michael Affenzeller
Hybrid (CPU/GPU) Exact Nearest Neighbors Search in High-Dimensional Spaces. AIAI (2) (2022)
David Muhr, Michael Affenzeller, Anthony D. Blaom
OutlierDetection.jl: A modular outlier detection ecosystem for the Julia programming language. CoRR (2022)
David Muhr, Michael Affenzeller
Outlier/Anomaly Detection of Univariate Time Series: A Dataset Collection and Benchmark. DaWaK (2022)
David Muhr, Michael Affenzeller
Little data is often enough for distance-based outlier detection. ISM (2021)
Shailesh Tripathi, David Muhr, Manuel Brunner, Herbert Jodlbauer, Matthias Dehmer, Frank Emmert-Streib
Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing. Frontiers Artif. Intell. 4 (2021)
Shailesh Tripathi, David Muhr, Manuel Brunner, Frank Emmert-Streib, Herbert Jodlbauer, Matthias Dehmer
Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing. CoRR (2020)
David Muhr, Shailesh Tripathi, Herbert Jodlbauer
An adaptive machine learning methodology to determine manufacturing process parameters for each part. ISM (2020)
Shailesh Tripathi, Christian Mittermayr, David Muhr, Herbert Jodlbauer
Large scale predictability analysis of process variables from injection molding machines. ISM (2020)