| 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. |
| 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 |
| Ãndice 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 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. |
| En lÃnea: |
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 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.
| 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 |
| Ãndice 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 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. |
| En lÃnea: |
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 |
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10th Brazilian Conference, BRACIS 2021, Virtual Event, November 29 – December 3, 2021, Proceedings, Part I
