1 option
Intelligent Systems : 10th Brazilian Conference, BRACIS 2021, Virtual Event, November 29 - December 3, 2021, Proceedings, Part I / edited by André Britto, Karina Valdivia Delgado.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence ; 13073
- Lecture Notes in Artificial Intelligence ; 13073
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Software engineering.
- Data structures (Computer science).
- Information theory.
- Algorithms.
- Data mining.
- Computer science-Mathematics.
- Artificial Intelligence.
- Software Engineering.
- Data Structures and Information Theory.
- Design and Analysis of Algorithms.
- Data Mining and Knowledge Discovery.
- Mathematics of Computing.
- Local Subjects:
- Artificial Intelligence.
- Software Engineering.
- Data Structures and Information Theory.
- Design and Analysis of Algorithms.
- Data Mining and Knowledge Discovery.
- Mathematics of Computing.
- Physical Description:
- 1 online resource (XXIII, 546 pages) : 154 illustrations, 96 illustrations in color.
- 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:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-91702-9
- 9783030917029
- Access Restriction:
- Restricted for use by site license.
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