Výsledky vyhledávání - Application of Genetic Programming in Machine Learning

Practical Computer Vision Applications Using Deep Learning with CNNs With Detailed Examples in Python Using TensorFlow and Kivy / Autor Gad, Ahmed Fawzy

Computational Diffusion MRI MICCAI Workshop, Québec, Canada, September 2017 /

Obsah: “…Reid et al -- Diffeomorphic Registration of Diffusion Mean Apparent Propagator Fields Using Dynamic Programming on a Minimum Spanning Tree by K ́evin Ginsburger et al -- Diffusion Orientation Histograms (DOH) for Diffusion Weighted Image Analysis by Laurent Chauvin et al -- Part III Tractography and Connectivity: Learning a Single Step of Streamline Tractography Based on Neural Networks by Daniel Jörgens et al -- Probabilistic Tractography for Complex Fiber Orientations with Automatic Model Selection by Edwin Versteeg et al -- Bundle-Specific Tractography by Francois Rheault et al -- A Sheet Probability Index from Diffusion Tensor Imaging by Michael Ankele et al -- Recovering Missing Connections in Diffusion Weighted MRI Using Matrix Completion by Chendi Wang et al -- Brain Parcellation and Connectivity Mapping Using Wasserstein Geometry by Hamza Farooq et al -- Exploiting Machine Learning Principles for Assessing the Fingerprinting Potential of Connectivity Features by Silvia Obertino et al -- Part IV Clinical Applications: Fiber-Flux Diffusion Density for White Matter Tracts Analysis: Application to Mild Anomalies Localization in Contact Sports Players by Itay Benou et al -- Longitudinal Analysis Framework of DWI Data for Reconstructing Structural Brain Networks with Application to Multiple Sclerosis by Thalis Charalambous et al -- Multi-Modal Analysis of Genetically-Related Subjects Using SIFT Descriptors in Brain MRI by Kuldeep Kumar et al -- VERDICT Prostate Parameter Estimation with AMICO by Elisenda Bonet-Carne et al.…”

Mathematical and Statistical Methods for Actuarial Sciences and Finance MAF 2018 /

Obsah: “…Invernizzi and V. Magatti, Could Machine Learning predict the Conversion in Motor Business? …”