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Researcher
Maarten Meire
- Disciplines:Artificial intelligence
Affiliations
- Declarative Languages and Artificial Intelligence (DTAI) (Division)
Member
From1 Aug 2020 → Today - Computer Science Technology, Geel Campus (Technology cluster)
Member
From1 Sep 2018 → 31 Dec 2018
Projects
1 - 1 of 1
- Acoustically based rotational machine break-down prediction using deep learning strategiesFrom20 Aug 2018 → 31 Aug 2022Funding: BOF - Doctoral projects, BOF - doctoral mandates
Publications
1 - 4 of 4
- Accurate prediction of glaucoma from color fundus images with a convolutional neural network that relies on active and transfer learning(2020)
Authors: Ruben Hemelings, Sophie Lemmens, Maarten Meire, Evelien Vandewalle, Matthew Blaschko, Ingeborg Stalmans
Pages: e94 - e100 - THE IMPACT OF MISSING LABELS AND OVERLAPPING SOUND EVENTS ON MULTI-LABEL MULTI-INSTANCE LEARNING FOR SOUND EVENT CLASSIFICATION(2019)
Authors: Maarten Meire, Lode Vuegen, Peter Karsmakers
Pages: 159 - 163Number of pages: 5 - Comparison of Deep Autoencoder Architectures for Real-time Acoustic Based Anomaly Detection in Assets(2019)
Authors: Maarten Meire, Peter Karsmakers
Pages: 786 - 790Number of pages: 5 - Unsupervised Machine Learning Methods to Estimate a Health Indicator for Condition Monitoring using Acoustic and Vibration Signals: A Comparison Based On a Toy Data Set From a Coffee Vending Machine
Authors: Yonas Tefera, Maarten Meire, Stijn Luca, Peter Karsmakers
Pages: 145 - 159Number of pages: 15