Computational Science - ICCS 2021 : 21st International Conference, Krakow, Poland, June 16-18, 2021, Proceedings, Part III / edited by Maciej Paszynski, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M.A. Sloot.

Format:

Book

Contributor:

Paszynski, Maciej, Editor.

Kranzlmüller, Dieter., Editor.

Krzhizhanovskaya, Valeria V., Editor.

Dongarra, J. J., Editor.

Sloot, Peter M.A., Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

LNCS sublibrary. Theoretical computer science and general issues 2512-2029 ; SL 1, 12744

Theoretical Computer Science and General Issues, 2512-2029 ; 12744

Language:

English

Subjects (All):

Computer science.

Artificial intelligence.

Computer engineering.

Computer networks.

Computer science-Mathematics.

Theory of Computation.

Artificial Intelligence.

Computer Engineering and Networks.

Mathematics of Computing.

Local Subjects:

Theory of Computation.

Artificial Intelligence.

Computer Engineering and Networks.

Mathematics of Computing.

Physical Description:

1 online resource (XX, 745 pages) : 212 illustrations, 159 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 six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the proceedings of the 21st International Conference on Computational Science, ICCS 2021, held in Krakow, Poland, in June 2021.* The total of 260 full papers and 57 short papers presented in this book set were carefully reviewed and selected from 635 submissions. 48 full and 14 short papers were accepted to the main track from 156 submissions; 212 full and 43 short papers were accepted to the workshops/ thematic tracks from 479 submissions. The papers were organized in topical sections named: Part I: ICCS Main Track Part II: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Artificial Intelligence and High-Performance Computing for Advanced Simulations; Biomedical and Bioinformatics Challenges for Computer Science Part III: Classifier Learning from Difficult Data; Computational Analysis of Complex Social Systems; Computational Collective Intelligence; Computational Health Part IV: Computational Methods for Emerging Problems in (dis-)Information Analysis; Computational Methods in Smart Agriculture; Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems Part V: Computer Graphics, Image Processing and Artificial Intelligence; Data-Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; MeshFree Methods and Radial Basis Functions in Computational Sciences; Multiscale Modelling and Simulation Part VI: Quantum Computing Workshop; Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainty; Teaching Computational Science; Uncertainty Quantification for Computational Models *The conference was held virtually.

Contents:

Classifier Learning from Difficult Data

Soft Confusion Matrix Classifier for Stream Classification

Some proposal of the high dimensional PU learning classification procedure

Classifying Functional Data from Orthogonal Projections - model, properties and fast implementation

Clustering and Weighted Scoring Algorithm Based on Estimating the Number of Clusters

Exact Searching for the Smallest Deterministic Automaton

Learning Invariance in Deep Neural Networks

Mimicking learning for 1-NN classifiers

Application of Multi-Objective Optimization to Feature Selection for a Difficult Data Classification Task

Deep Embedding Features for Action Recognition on Raw Depth Maps

Analysis of variance application in the construction of classifier ensemble based on optimal feature subset for the task of supporting glaucoma diagnosis

Multi-objective evolutionary undersampling algorithm for imbalanced data classification

Missing value imputation method using separate features nearest neighbors algorithm

On Validity of Extreme Value Theory-Based Parametric Models for Out-of-Distribution Detection

Clustering-based Ensemble Pruning in the Imbalanced Data Classification

Improvement of random undersampling to avoid excessive removal of points from a given area of the majority class

Predictability Classes for Forecasting Bank Clients Behavior by Transactional Data

A Non-Intrusive Machine Learning Solution for Malware Detection and Data Theft Classification in Smartphones

Analysis of Semestral Progress in Higher Technical Education with HMM Models

Vicinity-based Abstraction: VA-DGCNN Architecture for Noisy 3D Indoor Object Classification

Grid-Based Concise Hash for Solar Images

Machine learning algorithms for conversion of CVSS base score from 2.0 to 3.x

Applicability of Machine Learning to Short-Term Prediction of Changes in the Low Voltage Electricity Distribution Network

Computational Analysis of Complex Social Systems

A Model for Urban Social Networks

Three-state opinion q-voter model with bounded confidence

The evolution of political views within the model with two binary opinions

How to reach consensus? Better disagree with your neighbor

Efficient calibration of a financial agent-based model using the method of simulated moments

Computational Collective Intelligence

A Method for Improving Word Representation Using Synonym Information

Fast Approximate String Search for Wikification

ASH: A New Tool for Automated and Full-Text Search in Systematic Literature Reviews

A Voice-based Travel Recommendation System Using Linked Open Data

Learning from Imbalanced Data Streams based on Over-Sampling and Instance Selection

Computational Intelligence Techniques for Assessing Data Quality: Towards Knowledge-Driven Processing

The Power of a Collective: Team of Agents Solving Instances of the Flow Shop and Job Shop Problems

Bagging and single decision tree approaches to dispersed data

An Intelligent Social Collective with Facebook-based Communication

Multi-Agent Spatial SIR-Based Modeling and Simulation of Infection Spread Management

Multi-Criteria Seed Selection for Targeted In uence Maximization within Social Networks

How Attachment to your Primary Caregiver Influences your First Adult Relationship: An Adaptive Network Model of Attachment Theory

Computational Health

Hybrid Predictive Modelling for Finding Optimal Multipurpose Multicomponent Therapy

Towards cost-effective treatment of periprosthetic joint infection: from statistical analysis to Markov models

Optimization of Selection of Tests in Diagnosing the Patient by General Practitioner

Simulation of Burnout Processes by a Multi-Order Adaptive Network Model

Reversed Correlation-Based Pairwised EEG Channel Selection in Emotional State Recognition

Theory of Mind Helps to Predict Neurodegenerative Processes in Parkinson's Disease

Regaining Cognitive Control: An Adaptive Computational Model Involving Neural Correlates of Stress, Control and Intervention

MAM: A Metaphor-based Approach for Mental Illness Detection

Feature Engineering with Process Mining Technique for Patient State Predictions

Comparative Evaluation of Lung Cancer CT Image Synthesis with Generative Adversarial Networks

Deep convolutional neural networks in application to kidney segmentation in the DCE-MR images

Comparison of Efficiency, Stability and Interpretability of Feature Selection Methods for Multiclassification Task on Medical Tabular Data

Side effect alerts generation from EHR in Polish

des-ist: a simulation framework to streamline event-based in silico trials

Identifying Synergistic Interventions to Address COVID-19 Using a Large Scale Agent-Based Model

Modeling co-circulation of influenza strains in heterogeneous urban populations: the role of herd immunity and uncertainty factors

Two-Way Coupling Between 1D Blood Flow and 3D Tissue Perfusion Models

Applying DCT combined cepstrum for the assessment of the arteriovenous fistula condition

Electrocardiogram Quality Assessment with Autoencoder

Stenosis assessment via volumetric flow rate calculation

Fuzzy ontology for patient emergency department triage

Ontology-based decision support system for dietary recommendations for type 2 diabetes mellitus.

Other Format:

Printed edition:

ISBN:

978-3-030-77967-2

9783030779672

Access Restriction:

Restricted for use by site license.