prof. dr. Dirk Deschrijver
- ORCID iD
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0000-0001-6600-1792
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- Journal Article
- A1
- open access
Data-driven hypothesis discovery from disease trajectories in multiple sclerosis
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- Journal Article
- A1
- open access
Combining magnetic resonance imaging and evoked potentials enhances machine learning prediction of multiple sclerosis disability worsening
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- Journal Article
- A1
- open access
KARMA : kernel-aided rational macromodeling of noisy electrical frequency response data
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Guided by uncertainty : adaptive frequency sampling using Gaussian processes
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- Conference Paper
- P1
- open access
CSD-AFNet : computationally efficient atrial fibrillation classification from ECGs using 2D causal strided dilated convolutions
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- Journal Article
- A1
- open access
Wavelength-tunable equivalent circuit models for SPICE-based photonic-electronic co-simulation
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Augmentation-free longitudinal modeling through structuring whitened embeddings
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- Journal Article
- A1
- open access
Spectral bayesian optimization using a physics-informed rational Szego kernel for microwave design
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- Conference Paper
- P1
- open access
Bayesian optimization of microwave filters : a physics-informed approach using the Szegö kernel
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- Journal Article
- A2
- open access
The role of trustworthy and reliable AI for multiple sclerosis