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Researcher
Matthew Blaschko
- Disciplines:Artificial intelligence, Multimedia processing, Biological system engineering, Signal processing, Other computer engineering, information technology and mathematical engineering, Medical imaging and therapy
Affiliations
- Processing Speech and Images (PSI) (Division)
Member
From1 Aug 2020 → Today - ESAT - PSI, Processing Speech and Images (Division)
Member
From1 Sep 2015 → 31 Jul 2020
Projects
11 - 20 of 27
- Human Computer Communication: Dialogue SystemFrom7 Oct 2020 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Spatio-temporal deep learning workflows for transforming remote sensing data into geo-indicators for environmental policy supportFrom1 Oct 2020 → TodayFunding: FWO Strategic Basic Research (SBO)
- Resource aware, highly-scalable deep learningFrom25 Sep 2020 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Representation Learning in Underspecified Problems via Decision FeedbackFrom31 Jul 2020 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Advances in Neural Architecture SearchFrom10 Apr 2020 → 10 Apr 2024Funding: Own budget, for example: patrimony, inscription fees, gifts
- Privacy in machine learningFrom7 Apr 2020 → 7 Apr 2024Funding: Own budget, for example: patrimony, inscription fees, gifts
- Uncertainty Estimation in Machine Learning: Applications in Neural Network Compression and CalibrationFrom20 Dec 2019 → 20 Dec 2023Funding: Own budget, for example: patrimony, inscription fees, gifts
- DISCO-Func: Discrete Optimization in Neural Network Function Classes through Submodular AnalysisFrom1 Jan 2019 → 31 Dec 2022Funding: FWO research project (including WEAVE projects)
- Machine learning for computer-aided diagnostics in echocardiographyFrom1 Oct 2018 → 30 Sep 2020Funding: IOF - Industrial Research Fund
- Spatial Representation in Models of Images and Text with Applications to Medical Document Indexing and Autonomous DrivingFrom1 Oct 2018 → 20 Dec 2022Funding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 10 of 78
- Metrics reloaded: recommendations for image analysis validation(2024)
Authors: Matthew Blaschko, Ben Van Calster
- Deep learning for prediction of future endoscopic disease activity in ulcerative colitis(2023)
Authors: Matthew Blaschko, Tom Eelbode, Frederik Maes, Raf Bisschops
Pages: 1 - 7 - Surrogate model extension (SME): A fast and accurate weight update attack on federated learning(2023)
Authors: Junyi Zhu, Matthew Blaschko
Pages: 43228 - 43257 - A generalizable deep learning regression model for automated glaucoma screening from fundus images(2023)
Authors: Ruben Hemelings, Matthew Blaschko, João Breda
- Mitigating bias in Bayesian optimized data while designing MacPherson suspension architecture(2023)
Authors: Matthew Blaschko
Pages: 904 - 915 - Kinematics design of a MacPherson suspension architecture based on Bayesian optimization(2023)
Authors: Matthew Blaschko
- MRF-UNets: Searching UNet with Markov Random Fields(2023)
Authors: Zifu Wang, Matthew Blaschko
Pages: 599 - 614 - Uncertainty Estimation in Machine Learning: Applications in Neural Network Compression and Calibration(2023)
Authors: Xingchen Ma, Matthew Blaschko
- Improved imagery throughput via cascaded uncertainty pruning on U-Net++(2023)
Authors: Zifu Wang, Matthew Blaschko
- Confidence-aware personalized federated learning via variational expectation maximization(2023)
Authors: Junyi Zhu, Matthew Blaschko
Pages: 24542 - 24551