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Journal Articles
- 2023
[j9]Victor Bloch, Lilli Frondelius, Claudia Arcidiacono
, Massimo Mancino, Matti Pastell:
Development and Analysis of a CNN- and Transfer-Learning-Based Classification Model for Automated Dairy Cow Feeding Behavior Recognition from Accelerometer Data. Sensors 23(5): 2611 (2023)- [j8]Provvidenza Rita D'Urso, Claudia Arcidiacono, Matti Pastell, Giovanni Cascone:
Assessment of a UWB Real Time Location System for Dairy Cows' Monitoring. Sensors 23(10): 4873 (2023) - 2021
- [j7]Claudia Arcidiacono, Massimo Mancino, S. M. C. Porto, Victor Bloch, Matti Pastell:
IoT device-based data acquisition system with on-board computation of variables for cow behaviour recognition. Comput. Electron. Agric. 191: 106500 (2021) - 2020
- [j6]Victor Bloch, Matti Pastell:
Monitoring of Cow Location in a Barn by an Open-Source, Low-Cost, Low-Energy Bluetooth Tag System. Sensors 20(14): 3841 (2020) - 2018
- [j5]Matti Pastell, Lilli Frondelius:
A hidden Markov model to estimate the time dairy cows spend in feeder based on indoor positioning data. Comput. Electron. Agric. 152: 182-185 (2018) - 2017
- [j4]Matti Pastell:
Weave.jl: Scientific Reports Using Julia. J. Open Source Softw. 2(11): 204 (2017) - 2016
- [j3]Matti Pastell, Juha Hietaoja, Jinhyeon Yun, M. Johannes Tiusanen, Anna Valros:
Predicting farrowing of sows housed in crates and pens using accelerometers and CUSUM charts. Comput. Electron. Agric. 127: 197-203 (2016) - 2015
- [j2]Ehsan Khoramshahi, Juha Hietaoja, Anna Valros, Jinhyeon Yun, Matti Pastell:
Image Quality Assessment and Outliers Filtering in an Image-Based Animal Supervision System. Int. J. Agric. Environ. Inf. Syst. 6(2): 15-30 (2015) - 2008
- [j1]Matti Pastell, Henrik Madsen:
Application of CUSUM charts to detect lameness in a milking robot. Expert Syst. Appl. 35(4): 2032-2040 (2008)
Conference and Workshop Papers
- 2022
- [c1]Lars Schmarje, Vasco Grossmann, Claudius Zelenka, Sabine Dippel, Rainer Kiko, Mariusz Oszust, Matti Pastell, Jenny Stracke, Anna Valros, Nina Volkmann, Reinhard Koch:
Is one annotation enough? - A data-centric image classification benchmark for noisy and ambiguous label estimation. NeurIPS 2022
Data and Artifacts
- 2022
- [d2]Lars Schmarje, Vasco Grossmann, Claudius Zelenka, Sabine Dippel, Rainer Kiko, Mariusz Oszust, Matti Pastell, Jenny Stracke, Anna Valros, Nina Volkmann, Reinhard Koch:
Datasets for a data-centric image classification benchmark for noisy and ambiguous label estimation. Zenodo, 2022
- [d1]Lars Schmarje, Vasco Grossmann, Claudius Zelenka, Sabine Dippel, Rainer Kiko, Mariusz Oszust, Matti Pastell, Jenny Stracke, Anna Valros, Nina Volkmann, Reinhard Koch:
Datasets for a data-centric image classification benchmark for noisy and ambiguous label estimation. Zenodo, 2022
Informal and Other Publications
- 2022
- [i1]Lars Schmarje, Vasco Grossmann, Claudius Zelenka, Sabine Dippel, Rainer Kiko, Mariusz Oszust, Matti Pastell, Jenny Stracke, Anna Valros, Nina Volkmann, Reinhard Koch:
Is one annotation enough? A data-centric image classification benchmark for noisy and ambiguous label estimation. CoRR abs/2207.06214 (2022)
Coauthor Index
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