David Muhr

11 papers B 1C 3Journal 5Unranked 2
YearRankTypeTitle / Venue / Authors
2023 J jnl
A Probabilistic Transformation of Distance-Based Outliers.
Mach. Learn. Knowl. Extr.
David Muhr, Michael Affenzeller, Josef Küng
2023 — conf
Implicit Directed Acyclic Graphs (DAGs) for Parallel Outlier/Anomaly Detection Ensembles.
AIAI (2)
David Muhr, Michael Affenzeller, Josef Küng
2023 J jnl
Probabilistic Distance-Based Outlier Detection.
CoRR
David Muhr, Michael Affenzeller, Josef Küng
2022 — conf
Hybrid (CPU/GPU) Exact Nearest Neighbors Search in High-Dimensional Spaces.
AIAI (2)
David Muhr, Michael Affenzeller
2022 B conf
Outlier/Anomaly Detection of Univariate Time Series: A Dataset Collection and Benchmark.
DaWaK
David Muhr, Michael Affenzeller
2022 J jnl
OutlierDetection.jl: A modular outlier detection ecosystem for the Julia programming language.
CoRR
David Muhr, Michael Affenzeller, Anthony D. Blaom
2021 J jnl
Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing.
Frontiers Artif. Intell.
Shailesh Tripathi, David Muhr, Manuel Brunner, Herbert Jodlbauer, Matthias Dehmer, Frank Emmert-Streib
2021 C conf
Little data is often enough for distance-based outlier detection.
ISM
David Muhr, Michael Affenzeller
2020 C conf
An adaptive machine learning methodology to determine manufacturing process parameters for each part.
ISM
David Muhr, Shailesh Tripathi, Herbert Jodlbauer
2020 J jnl
Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing.
CoRR
Shailesh Tripathi, David Muhr, Manuel Brunner, Frank Emmert-Streib, Herbert Jodlbauer, Matthias Dehmer
2020 C conf
Large scale predictability analysis of process variables from injection molding machines.
ISM
Shailesh Tripathi, Christian Mittermayr, David Muhr, Herbert Jodlbauer