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  • Produktbild: Computational Science – ICCS 2020
  • Produktbild: Computational Science – ICCS 2020
Band 12140

Computational Science – ICCS 2020 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020, Proceedings, Part IV

51,99 €

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

20.06.2020

Herausgeber

Valeria V. Krzhizhanovskaya + weitere

Verlag

Springer

Seitenzahl

668

Maße (L/B/H)

23,5/15,5/3,7 cm

Gewicht

1025 g

Auflage

1st ed. 2020

Sprache

Englisch

ISBN

978-3-030-50422-9

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

20.06.2020

Herausgeber

Verlag

Springer

Seitenzahl

668

Maße (L/B/H)

23,5/15,5/3,7 cm

Gewicht

1025 g

Auflage

1st ed. 2020

Sprache

Englisch

ISBN

978-3-030-50422-9

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Computational Science – ICCS 2020
  • Produktbild: Computational Science – ICCS 2020
  • 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.- Risk-based AED Placement – Singapore Case.- Time Expressions Identification without Human-labeled Corpus for Clinical Text Mining in Russian.- Experiencer detection and automated extraction of a family disease tree from medical texts in Russian language.- Computational Methods for Emerging Problems in (Dis-)Information Analysis.- Machine Learning – the results are not the only thing that matters! What about security, explainability and fairness?.- Syntactic and Semantic Bias Detection and Countermeasures.- Detecting Rumours in Disasters: An Imbalanced Learning Approach.- Sentiment Analysis for Fake News Detection by Means of Neural Networks.