Prediction performance of radiomic features when obtained using an object detection framework

When constructing the dependency graph, we have selected only those dependencies whose composing nodes contains at least one class, which means that the

All versions of ComBat described in sections A, B and C above were applied using the non-parametric version of ComBat, using the labels defined either as the 3 clinical centers

Finally, the Evidential K-NN (EK-NN) rule (Denœux, 1995), a stable classification method based on DST, is used with selected feature subsets to output prediction results.. The rest

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The advantage of TensorRT using is that this platform is able to accelerate a neural network using an algorithm to simplify the network architecture not changing the

Indeed, when an object enters (resp leaves) a cell i at time t, and when sensors agree on the same state occupied (resp free), hence, the perception conflict pair (7) will be

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Detection of signs of Parkinson’s disease using dynamical features via an indirect pointing device.. Rosane Ushirobira, Denis Efimov, Géry Casiez, Laure Fernandez, Fredrik