Dan Hudson

17 papers B 3C 1Journal 6Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
A comparison of graph construction techniques for applying graph signal processing to soil moisture networks.
Discov. Comput.
Jurgen van den Hoogen, Dan Hudson, Martin Atzmueller
2026 J jnl
Finding One's Bearings in the Hyperparameter Landscape of a Wide-Kernel Convolutional Fault Detector.
IEEE Access
Dan Hudson, Jurgen van den Hoogen, Martin Atzmueller
2024 — conf
Data-Hungry Fault Detection Algorithms Can Try Transfer Learning for Starters.
ICDEW
Jurgen van den Hoogen, Dan Hudson, Martin Atzmueller
2024 C conf
Graph Signal Processing Unearths the Best Locations for Soil Moisture Sensors.
ICMLA
Jurgen van den Hoogen, Dan Hudson, Martin Atzmueller
2024 J jnl
Hyperparameter analysis of wide-kernel CNN architectures in industrial fault detection: an exploratory study.
Int. J. Data Sci. Anal.
Jurgen van den Hoogen, Dan Hudson, Stefan Bloemheuvel, Martin Atzmueller
2024 — conf
Stay Tuned! Analysing Hyperparameters of a Wide-Kernel Architecture for Industrial Faults.
CAI
Dan Hudson, Jurgen van den Hoogen, Stefan Bloemheuvel, Martin Atzmueller
2024 J jnl
Tailoring the Hyperparameters of a Wide-Kernel Convolutional Neural Network to Fit Different Bearing Fault Vibration Datasets.
CoRR
Dan Hudson, Jurgen van den Hoogen, Martin Atzmueller
2023 B conf
Enhanced Explanations for Knowledge-Augmented Clustering using Subgroup Discovery.
DSAA
Maciej Szelazek, Dan Hudson, Szymon Bobek, Grzegorz J. Nalepa, Martin Atzmueller
2023 — conf
Explainable Multi-Modal and Local Approaches to Modelling Injuries in Sports Data.
ICDM (Workshops)
Dan Hudson, Ruud J. R. Den Hartigh, L. Rens A. Meerhoff, Martin Atzmueller
2023 B conf
Hyperparameter Analysis of Wide-Kernel CNN Architectures in Industrial Fault Detection - An Exploratory Study.
DSAA
Jurgen van den Hoogen, Dan Hudson, Stefan Bloemheuvel, Martin Atzmueller
2023 — conf
Subgroup Discovery with SD4Py.
ECAI Workshops (1)
Dan Hudson, Martin Atzmueller
2022 — conf
Visualization Methods for Exploratory Subgroup Discovery on Time Series Data.
IWINAC (1)
Dan Hudson, Travis J. Wiltshire, Martin Atzmueller
2021 — conf
Examining Team Interaction using Dynamic Complexity and Network Visualizations.
ICHMS
Travis J. Wiltshire, Dan Hudson, Max Belitsky, Philia Lijdsman, Stijn Wever, Martin Atzmueller
2021 — conf
Human Interaction and Networking Transitions System (HINTS) for Social User Analytics and Modeling of Offline Team Group Interaction Information.
UMAP (Adjunct Publication)
Ngoc N. T. Doan, Dan Hudson, Travis J. Wiltshire, Philia Lijdsman, Stijn Wever, Martin Atzmueller
2021 J jnl
Local Exceptionality Detection in Time Series Using Subgroup Discovery.
CoRR
Dan Hudson, Travis J. Wiltshire, Martin Atzmueller
2021 B conf
Local Exceptionality Detection in Time Series Using Subgroup Discovery: An Approach Exemplified on Team Interaction Data.
DS
Dan Hudson, Travis J. Wiltshire, Martin Atzmueller
2020 J jnl
Social Analytics of Team Interaction using Dynamic Complexity Heat Maps and Network Visualizations.
CoRR
Travis J. Wiltshire, Dan Hudson, Philia Lijdsman, Stijn Wever, Martin Atzmueller