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ORCIDICCS 2020: Amsterdam, The Netherlands
- Valeria V. Krzhizhanovskaya
, Gábor Závodszky, Michael Harold Lees, Jack J. Dongarra, Peter M. A. Sloot, Sérgio Brissos, João Teixeira:
Computational Science - ICCS 2020 - 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings, Part IV. Lecture Notes in Computer Science 12140, Springer 2020, ISBN 978-3-030-50422-9
Classifier Learning from Difficult Data
- Pawel Teisseyre, Jan Mielniczuk, Malgorzata Lazecka:
Different Strategies of Fitting Logistic Regression for Positive and Unlabelled Data. 3-17 - Dariusz Sychel, Przemyslaw Klesk, Aneta Bera:
Branch-and-Bound Search for Training Cascades of Classifiers. 18-34 - Mariusz Topolski:
Application of the Stochastic Gradient Method in the Construction of the Main Components of PCA in the Task Diagnosis of Multiple Sclerosis in Children. 35-44 - Wojciech Wieczorek, Lukasz Strak, Arkadiusz Nowakowski, Olgierd Unold:
Grammatical Inference by Answer Set Programming. 45-58 - Pawel Zyblewski, Michal Wozniak:
Dynamic Classifier Selection for Data with Skewed Class Distribution Using Imbalance Ratio and Euclidean Distance. 59-73 - Jan Brabec, Tomás Komárek, Vojtech Franc, Lukás Machlica:
On Model Evaluation Under Non-constant Class Imbalance. 74-87 - Pawel Trajdos, Marek Kurzynski:
A Correction Method of a Base Classifier Applied to Imbalanced Data Classification. 88-102 - Pawel Ksieniewicz:
Standard Decision Boundary in a Support-Domain of Fuzzy Classifier Prediction for the Task of Imbalanced Data Classification. 103-116 - Jakub Klikowski, Michal Wozniak:
Employing One-Class SVM Classifier Ensemble for Imbalanced Data Stream Classification. 117-127 - Pawel Ksieniewicz, Robert Burduk:
Clustering and Weighted Scoring in Geometric Space Support Vector Machine Ensemble for Highly Imbalanced Data Classification. 128-140 - Michal Zák, Michal Wozniak:
Performance Analysis of Binarization Strategies for Multi-class Imbalanced Data Classification. 141-155 - Qingsai Xiao, Jian Liu, Qiuyun Wang, Zhengwei Jiang, Xuren Wang, Yepeng Yao:
Towards Network Anomaly Detection Using Graph Embedding. 156-169 - Tomasz Andrysiak, Lukasz Saganowski:
Maintenance and Security System for PLC Railway LED Sign Communication Infrastructure. 170-183 - Jakub Nowak, Taras Holotyak, Marcin Korytkowski, Rafal Scherer, Slava Voloshynovskiy:
Fingerprinting of URL Logs: Continuous User Authentication from Behavioural Patterns. 184-195 - Marek Pawlicki, Michal Choras, Rafal Kozik, Witold Holubowicz:
On the Impact of Network Data Balancing in Cybersecurity Applications. 196-210 - Pawel Ksieniewicz, Róza Goscien, Miroslaw Klinkowski, Krzysztof Walkowiak:
Pattern Recognition Model to Aid the Optimization of Dynamic Spectrally-Spatially Flexible Optical Networks. 211-224 - Magda Friedjungová, Daniel Vasata, Maksym Balatsko, Marcel Jirina:
Missing Features Reconstruction Using a Wasserstein Generative Adversarial Imputation Network. 225-239
Complex Social Systems Through the Lens of Computational Science
- Jeroen Bruggeman, Rudolf Sprik:
Cooperation for Public Goods Under Uncertainty. 243-251 - Guillem Achermann, Gabriele De Luca, Michele Simoni:
An Information-Theoretic and Dissipative Systems Approach to the Study of Knowledge Diffusion and Emerging Complexity in Innovation Systems. 252-265 - Peng Peng, Feng Lu:
Mapping the Port Influence Diffusion Patterns: A Case Study of Rotterdam, Antwerp and Singapore. 266-276 - Radoslaw Michalski, Jaroslaw Jankowski, Patryk Pazura:
Entropy-Based Measure for Influence Maximization in Temporal Networks. 277-290 - Jaroslaw Jankowski, Piotr Bartkow, Patryk Pazura, Kamil Bortko:
Evaluation of the Costs of Delayed Campaigns for Limiting the Spread of Negative Content, Panic and Rumours in Complex Networks. 291-304 - Danila A. Vaganov, Mariia Bardina, Valentina Y. Guleva:
From Generality to Specificity: On Matter of Scale in Social Media Topic Communities. 305-318
Computational Health
- Gokul S. Krishnan, S. Sowmya Kamath:
Hybrid Text Feature Modeling for Disease Group Prediction Using Unstructured Physician Notes. 321-333 - Berend Nannes, Rick Quax, Hiroshi Ashikaga, Mélèze Hocini, Rémi Dubois, Olivier Bernus, Michel Haïssaguerre:
Early Signs of Critical Slowing Down in Heart Surface Electrograms of Ventricular Fibrillation Victims. 334-347 - Piotr Sliwka, Leslaw Socha:
A Comparison of Generalized Stochastic Milevsky-Promislov Mortality Models with Continuous Non-Gaussian Filters. 348-362 - Diego Bettiol Yamada, Filipe Andrade Bernardi, Newton Shydeo Brandão Miyoshi, Inácia Bezerra de Lima, André Luiz Teixeira Vinci, Vinicius Tohoru Yoshiura, Domingos Alves:
Ontology-Based Inference for Supporting Clinical Decisions in Mental Health. 363-375 - Agnieszka Kitlas Golinska, Wojciech Lesinski, Andrzej Przybylski, Witold R. Rudnicki:
Towards Prediction of Heart Arrhythmia Onset Using Machine Learning. 376-389 - Oleg G. Metsker, Vozniuk Igor, Georgy D. Kopanitsa, Elena Morozova, Prohorova Maria:
Stroke ICU Patient Mortality Day Prediction. 390-405 - Marzena Bielecka, Andrzej Bielecki, Rafal Obuchowicz, Adam Piórkowski:
Universal Measure for Medical Image Quality Evaluation Based on Gradient Approach. 406-417 - Tesfamariam M. Abuhay, Oleg G. Metsker, Aleksey N. Yakovlev, Sergey V. Kovalchuk:
Constructing Holistic Patient Flow Simulation Using System Approach. 418-429 - Tesfamariam M. Abuhay, Yemisrach G. Nigatie, Oleg G. Metsker, Aleksey N. Yakovlev, Sergey V. Kovalchuk:
Investigating Coordination of Hospital Departments in Delivering Healthcare for Acute Coronary Syndrome Patients Using Data-Driven Network Analysis. 430-440 - Oladapo Babajide, Hissam Tawfik, Anna Palczewska, Anatoliy Gorbenko, Arne Astrup, J. Alfredo Martinez, Jean-Michel Oppert, Thorkild I. A. Sørensen:
A Machine Learning Approach to Short-Term Body Weight Prediction in a Dietary Intervention Program. 441-455 - Kris McGlinn, Pamela Hussey:
An Analysis of Demographic Data in Irish Healthcare Domain to Support Semantic Uplift. 456-467 - Murih Pusparum, Gökhan Ertaylan, Olivier Thas:
From Population to Subject-Specific Reference Intervals. 468-482 - Vasiliy N. Leonenko:
Analyzing the Spatial Distribution of Acute Coronary Syndrome Cases Using Synthesized Data on Arterial Hypertension Prevalence. 483-494 - Ilya V. Derevitskii, Daria A. Savitskaya, Alina Y. Babenko, Sergey V. Kovalchuk:
The Atrial Fibrillation Risk Score for Hyperthyroidism Patients. 495-508 - Iuliia Lenivtceva, Evgenia Slasten, Mariya Kashina, Georgy D. Kopanitsa:
Applicability of Machine Learning Methods to Multi-label Medical Text Classification. 509-522 - Balbir Singh, Hissam Tawfik:
Machine Learning Approach for the Early Prediction of the Risk of Overweight and Obesity in Young People. 523-535 - Saikat Chakraborty, Noble Thomas, Anup Nandy:
Gait Abnormality Detection in People with Cerebral Palsy Using an Uncertainty-Based State-Space Model. 536-549 - Anderson C. Apunike, Lívia Oliveira-Ciabati, Tiago Lara Michelin Sanches, Lariza Laura de Oliveira, Mauro Niskier Sanchez, Rafael Mello Galliez, Domingos Alves:
Analyses of Public Health Databases via Clinical Pathway Modelling: TBWEB. 550-562 - Márcio Eloi Colombo Filho, Rafael Mello Galliez, Filipe Andrade Bernardi, Lariza Laura de Oliveira, Afrânio Lineu Kritski, Marcel Koenigkam-Santos, Domingos Alves:
Preliminary Results on Pulmonary Tuberculosis Detection in Chest X-Ray Using Convolutional Neural Networks. 563-576 - Ivan Derevitskii, Nikita Kogtikov, Michael Harold Lees, Wentong Cai, Marcus Eng Hock Ong:
Risk-Based AED Placement - Singapore Case. 577-590 - Anastasia A. Funkner, Sergey V. Kovalchuk:
Time Expressions Identification Without Human-Labeled Corpus for Clinical Text Mining in Russian. 591-602 - Ksenia Balabaeva, Sergey V. Kovalchuk:
Experiencer Detection and Automated Extraction of a Family Disease Tree from Medical Texts in Russian Language. 603-612
Computational Methods for Emerging Problems in (dis-)Information Analysis
- Michal Choras, Marek Pawlicki, Damian Puchalski, Rafal Kozik:
Machine Learning - The Results Are Not the only Thing that Matters! What About Security, Explainability and Fairness? 615-628 - Roman Englert, Jörg Muschiol:
Syntactic and Semantic Bias Detection and Countermeasures. 629-638 - Amir Ebrahimi Fard, Majid Mohammadi, Bartel A. Van de Walle:
Detecting Rumours in Disasters: An Imbalanced Learning Approach. 639-652 - Sebastian Kula, Michal Choras, Rafal Kozik, Pawel Ksieniewicz, Michal Wozniak:
Sentiment Analysis for Fake News Detection by Means of Neural Networks. 653-666
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