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Intelligent Systems : 11th Brazilian Conference, BRACIS 2022, Campinas, Brazil, November 28 - December 1, 2022, Proceedings, Part II / edited by João Carlos Xavier-Junior, Ricardo Araújo Rios.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 13654
- Lecture Notes in Artificial Intelligence, 2945-9141 ; 13654
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Database management.
- User interfaces (Computer systems).
- Human-computer interaction.
- Computer vision.
- Education-Data processing.
- Social sciences-Data processing.
- Artificial Intelligence.
- Database Management.
- User Interfaces and Human Computer Interaction.
- Computer Vision.
- Computers and Education.
- Computer Application in Social and Behavioral Sciences.
- Local Subjects:
- Artificial Intelligence.
- Database Management.
- User Interfaces and Human Computer Interaction.
- Computer Vision.
- Computers and Education.
- Computer Application in Social and Behavioral Sciences.
- Physical Description:
- 1 online resource (XXIII, 664 pages) : 208 illustrations, 173 illustrations in color.
- Edition:
- 1st ed. 2022.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2022.
- System Details:
- text file PDF
- Summary:
- The two-volume set LNAI 13653 and 13654 constitutes the refereed proceedings of the 11th Brazilian Conference on Intelligent Systems, BRACIS 2022, which took place in Campinas, Brazil, in November/December 2022. The 89 papers presented in the proceedings were carefully reviewed and selected from 225 submissions. The conference deals with theoretical aspects and applications of artificial and computational intelligence.
- Contents:
- A 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 the performance 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-Valued Neural Networks.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-031-21689-3
- 9783031216893
- Access Restriction:
- Restricted for use by site license.
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