prof. dr. Veerle Segers
- Work address
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Watersportlaan 2
9000 Gent - Veerle.Segers@UGent.be
- ORCID iD
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0000-0002-0740-3297
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- Journal Article
- A1
- open access
Tibial acceleration-based prediction of maximal vertical loading rate during overground running : a machine learning approach
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- Conference Paper
- C3
- open access
Rearfoot running in athletic footwear : (a)typical rearfoot and resultant peak tibial acceleration
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Machine learning as a tool to predict impact loading during over-ground distance running
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Position-specific performance profiles, using predictive classification models in senior basketball
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Magnitude and spatial distribution of impact intensity under the foot relates to initial foot contact pattern
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Predictive models reduce talent development costs in female gymnastics
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Gusimbuka Urukiramende : were African high jumpers the real world champions?
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Talent in female gymnastics: a survival analysis based upon performance characteristics
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Stature and jumping height are required in female volleyball, but motor coordination is a key factor for future elite success
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Generic anthropometric and performance characteristics among elite adolescent boys in nine different sports