Search Results - "neural networks"
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Proceedings - 30. Workshop Computational Intelligence : Berlin, 26. - 27. November 2020
Published 2020DOAB: download the publication
DOAB: description of the publication
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Collaborative Technologies and Data Science in Artificial Intelligence Applications
Published 2020OAPEN Library: description of the publication
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Satellite Systems Design, Modeling, Simulation and Analysis
Published 2021DOAB: download the publication
DOAB: description of the publication
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1646
Theory of Complexity Definitions, Models, and Applications
Published 2021DOAB: download the publication
DOAB: description of the publication
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1647
Tools in Artificial Intelligence
Published 2008DOAB: download the publication
DOAB: description of the publication
Electronic Book Chapter -
1648
Traveling Salesman Problem Theory and Applications
Published 2010DOAB: download the publication
DOAB: description of the publication
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1649
Neurophysiology Networks, Plasticity, Pathophysiology and Behavior
Published 2022DOAB: download the publication
DOAB: description of the publication
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Machine Learning for Brain Disorders
Published 2023Table 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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Language Technologies for the Challenges of the Digital Age 27th International Conference, GSCL 2017, Berlin, Germany, September 13-14, 2017, Proceedings /
Published 2018Table of Contents: “…Examining the Impact of Implicitness on the Perception of Hate Speech -- Automatic Classification of Abusive Language and Personal Attacks in Various Forms of Online Communication -- Token Level Code-Switching Detection Using Wikipedia as a Lexical Resource -- How Social Media Text Analysis Can Inform Disaster Management -- A Comparative Study of Uncertainty Based Active Learning Strategies for General Purpose Twitter Sentiment Analysis with Deep Neural Networks -- An Infrastructure for Empowering Internet Users to Handle Fake News and Other Online Media Phenomena -- Different Types of Automated and Semi-automated Semantic Storytelling: Curation Technologies for Different Sectors -- Twitter Geolocation Prediction Using Neural Networks -- Diachronic Variation of Temporal Expressions in Scientific Writing Through the Lens of Relative Entropy -- A Case Study on the Relevance of the Competence Assumption for Implicature Calculation in Dialogue Systems -- Supporting Sustainable Process Documentation -- Optimizing Visual Representations in Semantic Multi-Modal Models with Dimensionality Reduction, De-noising and Contextual Information -- Using Argumentative Structure to Grade Persuasive Essays.…”
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