Título :	10th Brazilian Conference, BRACIS 2021, Virtual Event, November 29 – December 3, 2021, Proceedings, Part II
Tipo de documento:	documento electrónico
Autores:	Britto, André, ; Valdivia Delgado, Karina,
Mención de edición:	1 ed.
Editorial:	[s.l.] : Springer
Fecha de publicación:	2021
Número de páginas:	XXIV, 632 p. 17 ilustraciones
ISBN/ISSN/DL:	978-3-030-91699-2
Nota general:	Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave:	Ciencias sociales  Computadoras y Educación  Aplicación informática en ciencias sociales y del comportamiento  Ingeniería Informática y Redes  Visión  Inteligencia artificial  Procesamiento de datos  Red informática  Ingeniería Informática  Visión por co
Índice Dewey:	006.3 Inteligencia artificial
Resumen:	El conjunto de dos volúmenes LNAI 13073 y 13074 constituye las actas de la 10ª Conferencia Brasileña de Sistemas Inteligentes, BRACIS 2021, celebrada en São Paulo, Brasil, en noviembre-diciembre de 2021. El total de 77 artículos presentados en estos dos volúmenes fue cuidadosamente revisado y seleccionado entre 192 presentaciones. Las contribuciones están organizadas en las siguientes secciones temáticas: Parte I: Sistemas de agentes y multiagentes, planificación y aprendizaje por refuerzo; Computación evolutiva, metaheurísticas, restricciones y búsqueda, optimización combinatoria y numérica, representación del conocimiento, lógica y sistemas difusos; Aprendizaje automático y minería de datos. Parte II: Inteligencia artificial y computacional multidisciplinaria y aplicaciones; Redes neuronales, aprendizaje profundo y visión artificial; Minería de texto y procesamiento del lenguaje natural. Debido a la pandemia de COVID-2019, BRACIS 2021 se llevó a cabo como un evento virtual.
Nota de contenido:	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 QuestionAnswering -- 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. .
En línea:	https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
Link:	https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i

10th Brazilian Conference, BRACIS 2021, Virtual Event, November 29 – December 3, 2021, Proceedings, Part II [documento electrónico] / Britto, André, ; Valdivia Delgado, Karina,  . -  1 ed.  . - [s.l.] : Springer, 2021 . - XXIV, 632 p. 17 ilustraciones.
ISBN : 978-3-030-91699-2
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.

Palabras clave:	Ciencias sociales  Computadoras y Educación  Aplicación informática en ciencias sociales y del comportamiento  Ingeniería Informática y Redes  Visión  Inteligencia artificial  Procesamiento de datos  Red informática  Ingeniería Informática  Visión por co
Índice Dewey:	006.3 Inteligencia artificial
Resumen:	El conjunto de dos volúmenes LNAI 13073 y 13074 constituye las actas de la 10ª Conferencia Brasileña de Sistemas Inteligentes, BRACIS 2021, celebrada en São Paulo, Brasil, en noviembre-diciembre de 2021. El total de 77 artículos presentados en estos dos volúmenes fue cuidadosamente revisado y seleccionado entre 192 presentaciones. Las contribuciones están organizadas en las siguientes secciones temáticas: Parte I: Sistemas de agentes y multiagentes, planificación y aprendizaje por refuerzo; Computación evolutiva, metaheurísticas, restricciones y búsqueda, optimización combinatoria y numérica, representación del conocimiento, lógica y sistemas difusos; Aprendizaje automático y minería de datos. Parte II: Inteligencia artificial y computacional multidisciplinaria y aplicaciones; Redes neuronales, aprendizaje profundo y visión artificial; Minería de texto y procesamiento del lenguaje natural. Debido a la pandemia de COVID-2019, BRACIS 2021 se llevó a cabo como un evento virtual.
Nota de contenido:	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 QuestionAnswering -- 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. .
En línea:	https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
Link:	https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i