Showing 1,081 - 1,100 results of 3,235 for search '"Computer Science"', query time: 0.14s Refine Results
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    Machine Learning for Brain Disorders

    Published 2023
    Table of Contents: “…A Non-Technical Introduction to Machine Learning -- Classic Machine Learning Methods -- Deep Learning: Basics and Convolutional Neural Networks (CNN) -- Recurrent Neural Networks (RNN) - Architectures, Training Tricks, and Introduction to Influential Research -- Generative Adversarial Networks and Other Generative Models -- Transformers and Visual Transformers -- Clinical Assessment of Brain Disorders -- Neuroimaging in Machine Learning for Brain Disorders -- Electroencephalography and Magnetoencephalography -- Working with Omics Data, An Interdisciplinary Challenge at the Crossroads of Biology and Computer Science -- Electronic Health Records as Source of Research Data -- Mobile Devices, Connected Objects, and Sensors -- Medical Image Segmentation using Deep Learning -- Image Registration: Fundamentals and Recent Advances Based on Deep Learning -- Computer-Aided Diagnosis and Prediction in Brain Disorders -- Subtyping Brain Diseases from Imaging Data -- Data-Driven Disease Progression Modelling -- Computational Pathology for Brain Disorders -- Integration of Multimodal Data -- Evaluating Machine Learning Models and their Diagnostic Value -- Reproducibility in Machine Learning for Medical Imaging -- Interpretability of Machine Learning Methods Applied to Neuroimaging -- A Regulatory Science Perspective on Performance Assessment of Machine Learning Algorithms in Imaging -- Main Existing Datasets for Open Brain Research on Humans -- Machine Learning for Alzheimer's Disease and Related Dementias -- Machine Learning for Parkinson's Disease and Related Disorders -- Machine Learning in Neuroimaging of Epilepsy -- Machine Learning in Multiple Sclerosis -- Machine Learning for Cerebrovascular Disorders -- The Role of Artificial Intelligence in Neuro-Oncology Imaging -- Machine Learning for Neurodevelopmental Disorders -- Machine Learning and BrainImaging for Psychiatric Disorders: New Perspectives.…”
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    Electronic eBook
  6. 1086

    Evolutionary Genomics Statistical and Computational Methods /

    Published 2019
    Table of Contents: “…Introduction to Genome Biology and Diversity -- Probability, Statistics, and Computational Science -- A Not-So-Long Introduction to Computational Molecular Evolution -- Whole-Genome Alignment -- Inferring Orthology and Paralogy -- Transposable Elements and Their Identification -- Modern Phylogenomics: Building Phylogenetic Trees Using the Multispecies Coalescent Model -- Genome-Wide Comparative Analysis of Phylogenetic Trees: The Prokaryotic Forest of Life -- The Methodology Behind Network-Thinking: Graphs to Analyze Microbial Complexity and Evolution -- Bayesian Molecular Clock Dating Using Genome-Scale Datasets -- Genome Evolution in Outcrossing vs. …”
    Link to Metadata
    Electronic eBook
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