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OverviewFull Product DetailsAuthor: João Carlos Xavier-Junior , Ricardo Araújo RiosPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 1st ed. 2022 Volume: 13654 Weight: 1.038kg ISBN: 9783031216886ISBN 10: 3031216881 Pages: 664 Publication Date: 19 November 2022 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsA Sequential Recommender System with Embeddings Based on GraphSage Aggregators.- Least-Squares Linear Dilation-Erosion Regressor trained using a Convex-Concave Procedure.- Exploration Versus Exploitation in Model-Based Reinforcement Learning: An Empirical Study.- BoVW-CAM: Visual Explanation from Bag of Visual Words.- Using BERT to predict the Brazilian Stock Market.- Human Action Recognition Based in 2D Poses and Skeleton Joints.- Self-learning methodology based on degradation estimation for underwater image enhancement.- When Less May Be More: Exploring Similarity to Improve Experience Replay.- Human Identification Based on Gait and Soft Biometrics.- Training Aware Sigmoidal Optimization.- Combining Convolutional and Attention Networks and a Color Classifier for Fire Detection.- A Study of Emergency Siren Recognition on Resource-Constrained Devices.- A probabilistically-oriented analysis of theperformance of ASR systems for Brazilian radios and tvs.- A Reward Function using Image Processing for a Deep Reinforcement Learning Approach Applied to The Sonic The Hedgehog Game.- Predicting Failures in HDDs with Deep NN and Irregularly-Sampled Data.- Protein Molecular Function Annotation based on Transformer Embeddings.- Event detection in therapy sessions for children with Autism.- On Social Consensus Mechanisms for Federated Learning Aggregation.- MegaLite-PT: A Corpus of Literature in Portuguese for NLP.- A Survey of Recent Advances on Two-Step 3D Human Pose Estimation.- Exploring Advances in Transformers and CNN for Skin Lesion Diagnosis on Small Datasets.- A comparative study of federated versus centralized learning for time series prediction in IoT.- A Hybrid System with Nonlinear Combination for Wind Speed Forecasting.- Detecting malicious HTTP requests without Log Parser using RequestBERT-BiLSTM.- Aiding glaucoma diagnosis from the automated classification and segmentation of fundus images.- Offline and online neural network learning in the context of smart homes and fog computing.- Improved Alternative Average Support Value for Automatic Ingredient Substitute Recommendation in Cooking Recipes.- Augmenting a Physics-Informed Neural Network for the 2D Burgers equation by addition of solution data points.- Impact of Morphological Segmentation on Pre-trained Language Models.- Learning Global Optimization by Deep Reinforcement Learning.- A frequency learning approach based on the Hartley transform for texture classification.- How Resilient are Imitation Learning Methods to Sub-Optimal Experts?.- To Answer or not to Answer? Filtering Questions for QA Systems.- Deep Learning-Based Abstractive Summarization for Brazilian Portuguese Texts.- Interact2Vec: Neural item and user embedding for collaborative filtering.- Deep Learning-Based COVID-19 Screening using Photographs of Chest X-Rays Displayed in Computer Monitors.- Artificial neural networks to analyze energy consumption and temperature of uav on-board computers executing algorithms for object detection.- FastContext: handling out-of-vocabulary words using the word structure and context.- Wrapper Approach for Video Anomaly Detection applying Light Gradient Boosting Machine in a Multiple Instance Learning Setting.- PAN RAM Bootstrapping Regressor - A new RAM-based architecture for regression problems.- ConveXplainer for graph neural networks.- Extreme Learning Machine to Graph Convolutional Networks.- Sequence Labeling Algorithms for Punctuation Restoration in Brazilian Portuguese Texts.- Neural architecture search applied to hybrid morphological neural networks.- Extending the Universal Approximation Theorem for a Broad Class of Hypercomplex-ValuedNeural Networks.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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