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020 _a9783030917029
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024 7 _a10.1007/978-3-030-91702-9
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050 4 _aQ334-342
050 4 _aTA347.A78
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072 7 _aCOM004000
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245 1 0 _aIntelligent Systems
_h[electronic resource] :
_b10th Brazilian Conference, BRACIS 2021, Virtual Event, November 29 – December 3, 2021, Proceedings, Part I /
_cedited by André Britto, Karina Valdivia Delgado.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aXXIII, 546 p. 154 illus., 96 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v13073
505 0 _aAgent 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.
520 _aThe 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.
650 0 _aArtificial intelligence.
650 0 _aSoftware engineering.
650 0 _aData structures (Computer science).
650 0 _aInformation theory.
650 0 _aAlgorithms.
650 0 _aData mining.
650 0 _aComputer science
_xMathematics.
650 1 4 _aArtificial Intelligence.
650 2 4 _aSoftware Engineering.
650 2 4 _aData Structures and Information Theory.
650 2 4 _aDesign and Analysis of Algorithms.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aMathematics of Computing.
700 1 _aBritto, André.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aValdivia Delgado, Karina.
_eeditor.
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710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9783030917036
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v13073
856 4 0 _uhttps://doi.org/10.1007/978-3-030-91702-9
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