Intelligent Systems : 10th Brazilian Conference, BRACIS 2021, Virtual Event, November 29 - December 3, 2021, Proceedings, Part II / edited by André Britto, Karina Valdivia Delgado.

Format:

Book

Contributor:

Britto, André, Editor.

Delgado, Karina Valdivia, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 13074

Lecture Notes in Artificial Intelligence ; 13074

Language:

English

Subjects (All):

Artificial intelligence.

Image processing-Digital techniques.

Computer vision.

Computer engineering.

Computer networks.

Social sciences-Data processing.

Education-Data processing.

Artificial Intelligence.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Computer Engineering and Networks.

Computer Application in Social and Behavioral Sciences.

Computers and Education.

Local Subjects:

Artificial Intelligence.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Computer Engineering and Networks.

Computer Application in Social and Behavioral Sciences.

Computers and Education.

Physical Description:

1 online resource (XXIV, 632 pages) : 17 illustrations

Edition:

1st ed. 2021.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2021.

System Details:

text file PDF

Summary:

The two-volume set LNAI 13073 and 13074 constitutes the proceedings of the 10th Brazilian Conference on Intelligent Systems, BRACIS 2021, held in São Paolo, Brazil, in November-December 2021. The total of 77 papers presented in these two volumes was carefully reviewed and selected from 192 submissions.The contributions are organized in the following topical sections: Part I: Agent and Multi-Agent Systems, Planning and Reinforcement Learning; Evolutionary Computation, Metaheuristics, Constrains and Search, Combinatorial and Numerical Optimization, Knowledge Representation, Logic and Fuzzy Systems; Machine Learning and Data Mining. Part II: Multidisciplinary Artificial and Computational Intelligence and Applications; Neural Networks, Deep Learning and Computer Vision; Text Mining and Natural Language Processing. Due to the COVID-2019 pandemic, BRACIS 2021 was held as a virtual event.

Contents:

Multidisciplinary Artificial and Computational Intelligence and Applications

A Heterogeneous Network-based Positive and Unlabeled Learning Approach to Detect Fake News

Anomaly Detection in Brazilian Federal Government Purchase Cards Through Unsupervised Learning Techniques

De-identification of Clinical Notes Using Contextualized Language Models and a Token Classifier

Detecting Early Signs of Insufficiency in COVID-19 Patients from CBC Tests Through a Supervised Learning Approach

Encoding Physical Conditioning from Inertial Sensors for Multi-step Heart Rate Estimation

Ensemble of Protein Stability Upon Point Mutation Predictors

Ethics of AI: Do the face detection models act with prejudice?

Evaluating Topic Models in Portuguese Political Comments about Bills from Brazil's Chamber of Deputies

Evaluation of Convolutional Neural Networks for COVID-19 Classification on Chest X-Rays

Experiments on Portuguese Clinical Question Answering

Long-term Map Maintenance in Complex Environments

Supervised Training of a Simple DIgital Assistant for a Free Crop Clinic

The future of AI: neat or scruffy?

Weapon Engagement Zone Maximum Launch Range Estimation Using a Deep Neural Network

Neural Networks, Deep Learning and Computer Vision

Code autocomplete using Transformers

Deep Convolutional Features for Fingerprint Indexing

How to Generate Synthetic Paintings to Improve Art Style Classification

Iris-CV: Classifying Iris Flowers Is Not as Easy as You Thought

Performance analysis of YOLOv3 for real-time detection of pests in soybeans

Quaternion-Valued Convolutional Neural Network Applied for Acute Lymphoblastic Leukemia Diagnosis

Sea State Estimation with Neural Networks based on the Motion of a Moored FPSO subjected to Campos Basin Metocean Conditions

Time-Dependent Item Embeddings for Collaborative Filtering

Transfer Learning of Shapelets for Time Series Classification Using Convolutional Neural Network

Text Mining and Natural Language Processing

A Deep Learning approach for Aspect Sentiment Triplet Extraction in Portuguese

Aggressive Language Detection using VGCN-BERT for Spanish Texts

An Empirical Study of Text Features for Identifying Subjective Sentences in Portuguese

Comparing contextual embeddings for semantic textual similarity in Portuguese

Deep Active-Self Learning Applied to Named Entity Recognition

DEEPAGÉ: Answering Questions in Portuguese about the Brazilian Environment

Enriching Portuguese Word Embeddings with Visual Information

Entity Relation Extraction from News Articles in Portuguese for Competitive Intelligence based on BERT

Experiments on Kaldi-based Forced Phonetic Alignment for Brazilian Portuguese

Incorporating Text Specificity into a Convolutional Neural Network for the Classification of Review Perceived Helpfulness

Joint Event Extraction with Contextualized Word Embeddings for the Portuguese Language

mRAT-SQL+GAP: A Portuguese Text-to-SQL Transformer

Named Entity Recognition for Brazilian Portuguese Product Titles

Portuguese Neural Text Simplification using Machine Translation

Rhetorical Role Identification for Portuguese Legal Documents

Speech2Phone: A Novel and Efficient Method for Training Speaker Recognition Models

Text Classification in Legal Documents Extracted from Lawsuits in Brazilian Courts

Universal Dependencies-based PoS Tagging Refinement through Linguistic Resources

When external knowledge does not aggregate in Named Entity Recognition. .

Other Format:

Printed edition:

ISBN:

978-3-030-91699-2

9783030916992

Access Restriction:

Restricted for use by site license.