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ORCIDICCS 2021: Krakow, Poland
- Maciej Paszynski
, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2021 - 21st International Conference, Krakow, Poland, June 16-18, 2021, Proceedings, Part III. Lecture Notes in Computer Science 12744, Springer 2021, ISBN 978-3-030-77966-5
Classifier Learning from Difficult Data
- Pawel Trajdos, Marek Kurzynski:
Soft Confusion Matrix Classifier for Stream Classification. 3-17 - Konrad Furmanczyk, Marcin Dudzinski, Diana Dziewa-Dawidczyk:
Some Proposal of the High Dimensional PU Learning Classification Procedure. 18-25 - Ewa Skubalska-Rafajlowicz, Ewaryst Rafajlowicz:
Classifying Functional Data from Orthogonal Projections - Model, Properties and Fast Implementation. 26-39 - Jakub Klikowski, Robert Burduk:
Clustering and Weighted Scoring Algorithm Based on Estimating the Number of Clusters. 40-49 - Wojciech Wieczorek, Lukasz Strak, Arkadiusz Nowakowski, Olgierd Unold:
Exact Searching for the Smallest Deterministic Automaton. 50-63 - Han Zhang, Tomasz Arodz:
Learning Invariance in Deep Neural Networks. 64-74 - Przemyslaw Sliwinski, Pawel Wachel, Jerzy W. Rozenblit:
Mimicking Learning for 1-NN Classifiers. 75-80 - Joanna Grzyb, Mariusz Topolski, Michal Wozniak:
Application of Multi-objective Optimization to Feature Selection for a Difficult Data Classification Task. 81-94 - Jacek Trelinski, Bogdan Kwolek:
Deep Embedding Features for Action Recognition on Raw Depth Maps. 95-108 - Dominika Sulot, Pawel Zyblewski, Pawel Ksieniewicz:
Analysis of Variance Application in the Construction of Classifier Ensemble Based on Optimal Feature Subset for the Task of Supporting Glaucoma Diagnosis. 109-117 - Szymon Wojciechowski:
Multi-objective Evolutionary Undersampling Algorithm for Imbalanced Data Classification. 118-127 - Tomasz Orczyk, Rafal Doroz, Piotr Porwik:
Missing Value Imputation Method Using Separate Features Nearest Neighbors Algorithm. 128-141 - Tomasz Walkowiak, Kamil Szyc, Henryk Maciejewski:
On Validity of Extreme Value Theory-Based Parametric Models for Out-of-Distribution Detection. 142-155 - Pawel Zyblewski:
Clustering-Based Ensemble Pruning in the Imbalanced Data Classification. 156-171 - Malgorzata Bach, Aleksandra Werner:
Improvement of Random Undersampling to Avoid Excessive Removal of Points from a Given Area of the Majority Class. 172-186 - Elizaveta Stavinova, Klavdiya Bochenina, Petr Chunaev:
Predictability Classes for Forecasting Clients Behavior by Transactional Data. 187-199 - Sai Vishwanath Venkatesh, D. Prasannakumaran, Joish J. Bosco, Pravin Kumaar R, Vineeth Vijayaraghavan:
A Non-intrusive Machine Learning Solution for Malware Detection and Data Theft Classification in Smartphones. 200-213 - Ewa Lach, Damian Grzechca, Andrzej Polanski, Jerzy Rutkowski, Michal Staniszewski:
Analysis of Semestral Progress in Higher Technical Education with HMM Models. 214-228 - Jakub Walczak, Adam Wojciechowski, Patryk Najgebauer, Rafal Scherer:
Vicinity-Based Abstraction: VA-DGCNN Architecture for Noisy 3D Indoor Object Classification. 229-241 - Rafal Grycuk, Rafal Scherer:
Grid-Based Concise Hash for Solar Images. 242-254 - Maciej Roman Nowak, Michal Walkowski, Slawomir Sujecki:
Machine Learning Algorithms for Conversion of CVSS Base Score from 2.0 to 3.x. 255-269 - Piotr Cofta, Tomasz Marciniak, Krzysztof Palczynski:
Applicability of Machine Learning to Short-Term Prediction of Changes in the Low Voltage Electricity Distribution Network. 270-277
Computational Analysis of Complex Social Systems
- Stefano Guarino, Enrico Mastrostefano, Alessandro Celestini, Massimo Bernaschi, Marco Cianfriglia, Davide Torre, Lena Rebecca Zastrow:
A Model for Urban Social Networks. 281-294 - Wojciech Radosz, Maciej Doniec:
Three-State Opinion Q-Voter Model with Bounded Confidence. 295-301 - Magdalena Golebiowska, Katarzyna Sznajd-Weron:
The Evolution of Political Views Within the Model with Two Binary Opinions. 302-308 - Tomasz Weron, Katarzyna Sznajd-Weron:
How to Reach Consensus? Better Disagree with Your Neighbor. 309-315 - Piotr Zegadlo:
Efficient Calibration of a Financial Agent-Based Model Using the Method of Simulated Moments. 316-329
Computational Collective Intelligence
- Huyen Trang Phan, Ngoc Thanh Nguyen, Javokhir Musaev, Dosam Hwang:
A Method for Improving Word Representation Using Synonym Information. 333-346 - Szymon Olewniczak, Julian Szymanski:
Fast Approximate String Search for Wikification. 347-361 - Marek Sosnicki, Lech Madeyski:
ASH: A New Tool for Automated and Full-Text Search in Systematic Literature Reviews. 362-369 - Krzysztof Kutt, Sebastian Skoczen, Grzegorz J. Nalepa:
A Voice-Based Travel Recommendation System Using Linked Open Data. 370-377 - Ireneusz Czarnowski:
Learning from Imbalanced Data Streams Based on Over-Sampling and Instance Selection. 378-391 - Nunik Afriliana, Dariusz Król, Ford Lumban Gaol:
Computational Intelligence Techniques for Assessing Data Quality: Towards Knowledge-Driven Processing. 392-405 - Piotr Jedrzejowicz, Izabela Wierzbowska:
The Power of a Collective: Team of Agents Solving Instances of the Flow Shop and Job Shop Problems. 406-419 - Malgorzata Przybyla-Kasperek, Samuel Aning:
Bagging and Single Decision Tree Approaches to Dispersed Data. 420-427 - Marcin Maleszka:
An Intelligent Social Collective with Facebook-Based Communication. 428-439 - Amelia Badica, Costin Badica, Maria Ganzha, Mirjana Ivanovic, Marcin Paprzycki:
Multi-agent Spatial SIR-Based Modeling and Simulation of Infection Spread Management. 440-453 - Artur Karczmarczyk, Jaroslaw Jankowski, Jaroslaw Watróbski:
Multi-criteria Seed Selection for Targeted Influence Maximization Within Social Networks. 454-461 - Audrey Hermans, Selma Muhammad, Jan Treur:
An Adaptive Network Model of Attachment Theory. 462-475
Computational Health
- Vladislav V. Pavlovskii, Ilia V. Derevitskii, Sergey V. Kovalchuk:
Hybrid Predictive Modelling for Finding Optimal Multipurpose Multicomponent Therapy. 479-493 - Yulia E. Kaliberda, Vasiliy N. Leonenko, Vasiliy A. Artyukh:
Towards Cost-Effective Treatment of Periprosthetic Joint Infection: From Statistical Analysis to Markov Models. 494-505 - Jan Magott, Irena Wikiera-Magott:
Optimization of Selection of Tests in Diagnosing the Patient by General Practitioner. 506-513 - Louis Félix Weyland, Wiebe Jelsma, Jan Treur:
Simulation of Burnout Processes by a Multi-order Adaptive Network Model. 514-527 - Aleksandra Dura, Agnieszka Wosiak, Bartlomiej Stasiak, Adam Wojciechowski, Jan Rogowski:
Reversed Correlation-Based Pairwised EEG Channel Selection in Emotional State Recognition. 528-541 - Andrzej W. Przybyszewski:
Theory of Mind Helps to Predict Neurodegenerative Processes in Parkinson's Disease. 542-555 - Nimat Ullah, Jan Treur:
Regaining Cognitive Control: An Adaptive Computational Model Involving Neural Correlates of Stress, Control and Intervention. 556-569 - Dongyu Zhang, Nan Shi, Ciyuan Peng, Abdul Aziz, Wenhong Zhao, Feng Xia:
MAM: A Metaphor-Based Approach for Mental Illness Detection. 570-583 - Liubov Elkhovskaya, Sergey V. Kovalchuk:
Feature Engineering with Process Mining Technique for Patient State Predictions. 584-592 - Alexander Semiletov, Aleksandra Vatian, Maksim Krychkov, Natalia Khanzhina, Anton Klochkov, Aleksey Zubanenko, Roman Soldatov, Anatoly Shalyto, Natalia F. Gusarova:
Comparative Evaluation of Lung Cancer CT Image Synthesis with Generative Adversarial Networks. 593-608 - Artur Klepaczko, Eli Eikefjord, Arvid Lundervold:
Deep Convolutional Neural Networks in Application to Kidney Segmentation in the DCE-MR Images. 609-622 - Ksenia Balabaeva, Sergey V. Kovalchuk:
Comparison of Efficiency, Stability and Interpretability of Feature Selection Methods for Multiclassification Task on Medical Tabular Data. 623-633 - Wojciech Jaworski, Malgorzata Marciniak, Agnieszka Mykowiecka:
Side Effect Alerts Generation from EHR in Polish. 634-647 - Max van der Kolk, Claire Miller, Raymond M. Padmos, Victor Azizi, Alfons G. Hoekstra:
des-ist: A Simulation Framework to Streamline Event-Based In Silico Trials. 648-654 - Junjiang Li, Philippe J. Giabbanelli:
Identifying Synergistic Interventions to Address COVID-19 Using a Large Scale Agent-Based Model. 655-662 - Vasiliy N. Leonenko:
Modeling Co-circulation of Influenza Strains in Heterogeneous Urban Populations: The Role of Herd Immunity and Uncertainty Factors. 663-669 - Raymond M. Padmos, Tamás I. Józsa, Wahbi K. El-Bouri, Gábor Závodszky, Stephen J. Payne, Alfons G. Hoekstra:
Two-Way Coupling Between 1D Blood Flow and 3D Tissue Perfusion Models. 670-683 - Marcin Grochowina, Lucyna Leniowska:
Applying DCT Combined Cepstrum for the Assessment of the Arteriovenous Fistula Condition. 684-692 - Jan Garus, Mateusz Pabian, Marcin Wisniewski, Bartlomiej Sniezynski:
Electrocardiogram Quality Assessment with Autoencoder. 693-706 - Andrey I. Svitenkov, Pavel S. Zun, Oleg A. Shramko:
Stenosis Assessment via Volumetric Flow Rate Calculation. 707-718 - Khouloud Fakhfakh, Sarah Ben Othman, Laetitia Jourdan, Grégoire Smith, Jean-Marie Renard, Slim Hammadi, Hayfa Zgaya-Biau:
Fuzzy Ontology for Patient Emergency Department Triage. 719-734 - Maria Nisheva-Pavlova, Iliyan Mihaylov, Stoian Hadzhiyski, Dimitar Vassilev:
Ontology-Based Decision Support System for Dietary Recommendations for Type 2 Diabetes Mellitus. 735-741
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