Computational Science - Iccs 2021: 21st International Conference, Krakow, Poland, June 16-18, 2021, Proceedings, Part III

ISBN-13: 9783030779665 / Angielski / Miękka / 2021 / 745 str.

Maciej Paszynski; Dieter Kranzlmüller; Valeria V. Krzhizhanovskaya

Spis treści

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.