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Autor Britto, André |
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Crear una solicitud de compra Refinar búsqueda10th Brazilian Conference, BRACIS 2021, Virtual Event, November 29 – December 3, 2021, Proceedings, Part I / Britto, André ; Valdivia Delgado, Karina
TÃtulo : 10th Brazilian Conference, BRACIS 2021, Virtual Event, November 29 – December 3, 2021, Proceedings, Part I 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: XXIII, 546 p. 154 ilustraciones, 96 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-91702-9 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Inteligencia artificial MinerÃa de datos y descubrimiento de conocimientos Diseño y Análisis de Algoritmos Estructuras de datos y teorÃa de la información TeorÃa de la información IngenierÃa de software Matemáticas de la Computación Informática Algoritmo Estructuras de datos (Informática) Procesamiento de datos Matemáticas Clasificación: 006.3 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 artÃculos 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, metaheurÃsticas, restricciones y búsqueda, optimización combinatoria y numérica, representación del conocimiento, lógica y sistemas difusos; Aprendizaje automático y minerÃa de datos. Parte II: Inteligencia artificial y computacional multidisciplinaria y aplicaciones; Redes neuronales, aprendizaje profundo y visión artificial; MinerÃa 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: Agent and Multi-Agent Systems, Planning and Reinforcement Learning -- A Conversational Agent to Support Hospital Bed Allocation -- A Protocol for Argumentation-based Persuasive Negotiation Dialogues -- Gradient Estimation in Model-Based Reinforcement Learning: a Study on Linear Quadratic Environments -- Intelligent Agents for Observation and Containment of Malicious Targets Organizations -- MAS4GC: Multi-Agent System for Glycemic Control of Intensive Care Unit Patients -- On the impact of MDP design for Reinforcement Learning agents in Resource Management -- Slot Sharing Mechanism in Multi-Domain Dialogue Systems -- Evolutionary Computation, Metaheuristics, Constrains and Search, Combinatorial and Numerical Optimization -- A Graph-based crossover and soft-repair operators for the Steiner Tree Problem -- A Modified NSGA-DO for Solving Multiobjective Optimization Problems -- An Enhanced TSP-based Approach for Active Debris Removal Mission Planning -- Dynamic Learning in Hyper-Heuristics to Solve Flowshop Problems -- Hyper-Heuristic based NSGA-III for the Many-Objective Quadratic Assignment Problem -- I2DE: Improved Interval Differential Evolution for Numerical Constrained Global Optimization -- Improving a genetic clustering approach with a CVI-based objective function -- Improving particle swarm optimization with self-adaptive parameters, rotational invariance, and diversity control -- Improving Rule Based and Equivalent Decision Simplifications for Bloat Control in Genetic Programming Using a Dynamic Operator -- Lackadaisical quantum walk in the hypercube to search for multiple marked vertices -- On the Analysis of CGP Mutation Operators when Inferring Gene Regulatory Networks using scRNA-Seq Time Series Data -- Online selection of heuristic operators with Deep Q-Netowrk: a study on the HyFlex Framework -- Knowledge Representation, Logic and Fuzzy Systems -- A Systematic Approach to Define Semantics for Prioritised Logic Programs -- Active Learning and Case-Based Reasoning for the Deceptive Play in the Card Game of Truco -- ASPIC? and the Postulates of Non-Interference and Crash-Resistance -- On the Refinement of Compensation-based Semantics for Weighted Argumentation Frameworks -- Ontology based classification of electronic health records to support value-based health care -- Machine Learning and Data Mining -- A Co-occurrence Based Approach for Mining Overlapped Co-clusters in Binary Data -- A Comparative Study on Concept Drift Detectors for Regression -- A Kullback-Leibler divergence-based locally linear embedding method: a novel parametric approach for cluster analysis -- Classifying Potentially Unbounded Hierarchical Data Streams with Incremental Gaussian Naive Bayes -- Coarsening Algorithm via Semi-Synchronous Label Propagation for Bipartite Networks -- Evaluating Clustering Meta-Features for Classifier Recommendation -- Fast Movelet Extraction and Dimensionality Reduction for Robust Multiple Aspect Trajectory Classification -- Interpreting classification models using feature importance based on marginal local effects -- On the generalizations of the Choquet integral for application in FRBCs -- Optimizing Diffusion Rate and Label Reliability in a Graph-based Semi-supervised Classifier -- Tactical Asset Allocation through Random Walk on Stock Network. Tipo de medio : Computadora 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. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 10th Brazilian Conference, BRACIS 2021, Virtual Event, November 29 – December 3, 2021, Proceedings, Part I [documento electrónico] / Britto, André, ; Valdivia Delgado, Karina, . - 1 ed. . - [s.l.] : Springer, 2021 . - XXIII, 546 p. 154 ilustraciones, 96 ilustraciones en color.
ISBN : 978-3-030-91702-9
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Inteligencia artificial MinerÃa de datos y descubrimiento de conocimientos Diseño y Análisis de Algoritmos Estructuras de datos y teorÃa de la información TeorÃa de la información IngenierÃa de software Matemáticas de la Computación Informática Algoritmo Estructuras de datos (Informática) Procesamiento de datos Matemáticas Clasificación: 006.3 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 artÃculos 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, metaheurÃsticas, restricciones y búsqueda, optimización combinatoria y numérica, representación del conocimiento, lógica y sistemas difusos; Aprendizaje automático y minerÃa de datos. Parte II: Inteligencia artificial y computacional multidisciplinaria y aplicaciones; Redes neuronales, aprendizaje profundo y visión artificial; MinerÃa 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: Agent and Multi-Agent Systems, Planning and Reinforcement Learning -- A Conversational Agent to Support Hospital Bed Allocation -- A Protocol for Argumentation-based Persuasive Negotiation Dialogues -- Gradient Estimation in Model-Based Reinforcement Learning: a Study on Linear Quadratic Environments -- Intelligent Agents for Observation and Containment of Malicious Targets Organizations -- MAS4GC: Multi-Agent System for Glycemic Control of Intensive Care Unit Patients -- On the impact of MDP design for Reinforcement Learning agents in Resource Management -- Slot Sharing Mechanism in Multi-Domain Dialogue Systems -- Evolutionary Computation, Metaheuristics, Constrains and Search, Combinatorial and Numerical Optimization -- A Graph-based crossover and soft-repair operators for the Steiner Tree Problem -- A Modified NSGA-DO for Solving Multiobjective Optimization Problems -- An Enhanced TSP-based Approach for Active Debris Removal Mission Planning -- Dynamic Learning in Hyper-Heuristics to Solve Flowshop Problems -- Hyper-Heuristic based NSGA-III for the Many-Objective Quadratic Assignment Problem -- I2DE: Improved Interval Differential Evolution for Numerical Constrained Global Optimization -- Improving a genetic clustering approach with a CVI-based objective function -- Improving particle swarm optimization with self-adaptive parameters, rotational invariance, and diversity control -- Improving Rule Based and Equivalent Decision Simplifications for Bloat Control in Genetic Programming Using a Dynamic Operator -- Lackadaisical quantum walk in the hypercube to search for multiple marked vertices -- On the Analysis of CGP Mutation Operators when Inferring Gene Regulatory Networks using scRNA-Seq Time Series Data -- Online selection of heuristic operators with Deep Q-Netowrk: a study on the HyFlex Framework -- Knowledge Representation, Logic and Fuzzy Systems -- A Systematic Approach to Define Semantics for Prioritised Logic Programs -- Active Learning and Case-Based Reasoning for the Deceptive Play in the Card Game of Truco -- ASPIC? and the Postulates of Non-Interference and Crash-Resistance -- On the Refinement of Compensation-based Semantics for Weighted Argumentation Frameworks -- Ontology based classification of electronic health records to support value-based health care -- Machine Learning and Data Mining -- A Co-occurrence Based Approach for Mining Overlapped Co-clusters in Binary Data -- A Comparative Study on Concept Drift Detectors for Regression -- A Kullback-Leibler divergence-based locally linear embedding method: a novel parametric approach for cluster analysis -- Classifying Potentially Unbounded Hierarchical Data Streams with Incremental Gaussian Naive Bayes -- Coarsening Algorithm via Semi-Synchronous Label Propagation for Bipartite Networks -- Evaluating Clustering Meta-Features for Classifier Recommendation -- Fast Movelet Extraction and Dimensionality Reduction for Robust Multiple Aspect Trajectory Classification -- Interpreting classification models using feature importance based on marginal local effects -- On the generalizations of the Choquet integral for application in FRBCs -- Optimizing Diffusion Rate and Label Reliability in a Graph-based Semi-supervised Classifier -- Tactical Asset Allocation through Random Walk on Stock Network. Tipo de medio : Computadora 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. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : 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. Idioma : Inglés (eng) Palabras clave: Ciencias sociales Computadoras y Educación Aplicación informática en ciencias sociales y del comportamiento. IngenierÃa Informática y Redes Visión Inteligencia artificial Procesamiento de datos Red informática IngenierÃa Informática Visión por co Clasificación: 006.3 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 artÃculos 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, metaheurÃsticas, restricciones y búsqueda, optimización combinatoria y numérica, representación del conocimiento, lógica y sistemas difusos; Aprendizaje automático y minerÃa de datos. Parte II: Inteligencia artificial y computacional multidisciplinaria y aplicaciones; Redes neuronales, aprendizaje profundo y visión artificial; MinerÃa 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. . Tipo de medio : Computadora 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. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 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.
Idioma : Inglés (eng)
Palabras clave: Ciencias sociales Computadoras y Educación Aplicación informática en ciencias sociales y del comportamiento. IngenierÃa Informática y Redes Visión Inteligencia artificial Procesamiento de datos Red informática IngenierÃa Informática Visión por co Clasificación: 006.3 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 artÃculos 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, metaheurÃsticas, restricciones y búsqueda, optimización combinatoria y numérica, representación del conocimiento, lógica y sistemas difusos; Aprendizaje automático y minerÃa de datos. Parte II: Inteligencia artificial y computacional multidisciplinaria y aplicaciones; Redes neuronales, aprendizaje profundo y visión artificial; MinerÃa 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. . Tipo de medio : Computadora 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. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
