Computational Science - ICCS 2020: 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings, Part IV - Tapa blanda

Sinopsis

Classifier Learning from Difficult Data.- Different strategies of fitting logistic regression for positive and unlabelled data.- Branch-and-Bound Search for Training Cascades of Classifiers.- Application of the stochastic gradient method in the construction of the main components of PCA in the task diagnosis of multiple sclerosis in children.- Grammatical Inference by Answer Set Programming.- Dynamic Classifier Selection for data with skewed class distribution using Imbalance Ratio and Euclidean distance.- On Model Evaluation under Non-constant Class Imbalance.- A Correction Method of a Base Classifier Applied to Imbalanced Data Classification.- Standard Decision Boundary in a support-domain of fuzzy classifier prediction for the task of imbalanced data classification.- Employing One-class SVM Classifier Ensemble for Imbalanced Data Stream Classification.- Clustering and Weighted Scoring in Geometric Space Support Vector Machine Ensemble for Highly Imbalanced Data Classification.- Performance Analysis of Binarization Strategies for Multi-Class Imbalanced Data Classification.- Towards Network Anomaly Detection Using Graph Embedding.- Maintenance and Security System for PLC Railway LED Sign Communication Infrastructure.- Behavioral Biometric User Authentication from URL Logs.- On the impact of network data balancing in cybersecurity applications.- Pattern recognition model to aid the optimization of Dynamic Spectrally-Spatially Flexible Optical Networks.- Missing Features Reconstruction Using a Wasserstein Generative Adversarial Imputation Network.- Complex Social Systems through the Lens of Computational Science.- Cooperation for public goods under uncertainty.- An Information-Theoretic and Dissipative Systems Approach to the Study of Knowledge Diffusion and Emerging Complexity in Innovation Systems.- Mapping the port influence diffusion patterns: a case study of Rotterdam, Antwerp and Singapore.- Entropy-based Measure for Influence Maximization in Temporal Networks.- Evaluation of the Costs of Delayed Campaigns for Limiting the Spread of Negative Content, Panic and Rumours in Complex Networks.- From generality to specificity: on matter of scale in social media topic Communities.- Computational Health.- Hybrid Text Feature Modeling for Disease Group Prediction using Unstructured Physician Notes.- Early signs of critical slowing down in heart surface electrograms of ventricular fibrillation victims.- A Comparison of Generalized Stochastic Milevsky-Promislov Mortality Models with continuous non-Gaussian Filters.- Ontology-Based Inference for Supporting Clinical Decisions in Mental Health.- Towards Prediction of Heart Arrhythmia Onset Using Machine Learning.- Stroke ICU Patient Mortality Day Prediction.- Universal measure for medical image quality evaluation based on gradient approach.- Constructing Holistic Patient Flow Simulation Using System Approach.- Investigating Coordination of Hospital Departments in Delivering Healthcare for Acute Coronary Syndrome Patients using Data-Driven Network Analysis.- A Machine Learning Approach To Short-term Body Weight Prediction In A Dietary Intervention Program.- An analysis of demographic data in Irish healthcare domain to support semantic uplift.- From Population to Subject-Specific Reference Intervals.- Analyzing the spatial distribution of acute coronary syndrome cases using synthesized data on arterial hypertension prevalence.- The Atrial Fibrillation Risk Score for Hyperthyroidism Patients.- Applicability of Machine Learning Methods to Multi-Label Medical Text Classification.- Machine Learning Approach for the Early Prediction of the Risk of Overweight and Obesity in Young People.- Gait Abnormality Detection in People with Cerebral Palsy using an Uncertainty-based State-space Model.- Analyses of public health databases via clinical pathway modelling: TBWEB.- Preliminary results on Pulmonary Tuberculosis detection in Chest X-Ray using Convolutional Neural Networks

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