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Computational Science – ICCS 2023

23rd International Conference, Prague, Czech Republic, July 3–5, 2023, Proceedings, Part III

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Jiří Mikyška

    1. Czech Technical University in Prague, Prague, Czech Republic

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  2. Clélia de Mulatier

    1. University of Amsterdam, Amsterdam, The Netherlands

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  3. Maciej Paszynski

    1. AGH University of Science and Technology, Krakow, Poland

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  4. Valeria V. Krzhizhanovskaya

    1. University of Amsterdam, Amsterdam, The Netherlands

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  5. Jack J. Dongarra

    1. University of Tennessee at Knoxville, Knoxville, USA

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  6. Peter M.A. Sloot

    1. University of Amsterdam, Amsterdam, The Netherlands

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14075)

Included in the following conference series:

Conference proceedings info: ICCS 2023.

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About this book

The five-volume set LNCS 14073-14077 constitutes the proceedings of the 23rd International Conference on Computational Science, ICCS 2023, held in Prague, Czech Republic, during July 3-5, 2023.

The total of 188 full papers and 94 short papers presented in this book set were carefully reviewed and selected from 530 submissions. 54 full and 37 short papers were accepted to the main track; 134 full and 57 short papers were accepted to the workshops/thematic tracks.

The theme for 2023, "Computation at the Cutting Edge of Science", highlights the role of Computational Science in assisting multidisciplinary research. This conference was a unique event focusing on recent developments in scalable scientific algorithms, advanced software tools; computational grids; advanced numerical methods; and novel application areas. These innovative novel models, algorithms, and tools drive new science through efficient application in physical systems, computational andsystems biology, environmental systems, finance, and others.

Keywords

Table of contents (54 papers)

  1. Front Matter

    Pages i-xxii
    Download chapter PDF

  2. Computational Collective Intelligence

    1. Front Matter

      Pages 1-1
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    2. Balancing Agents for Mining Imbalanced Multiclass Datasets – Performance Evaluation

      • Joanna Jedrzejowicz, Piotr Jedrzejowicz
      Pages 3-16

    3. Decision Tree-Based Algorithms for Detection of Damage in AIS Data

      • Marta Szarmach, Ireneusz Czarnowski
      Pages 17-32

    4. The Role of Conformity in Opinion Dynamics Modelling with Multiple Social Circles

      • Stanisław Stępień, Jarosław Jankowski, Piotr Bródka, Radosław Michalski
      Pages 33-47

    5. Impact of Input Data Preparation on Multi-criteria Decision Analysis Results

      • Jarosław Wątróbski, Aleksandra Bączkiewicz, Robert Król
      Pages 48-55

  3. Computational Diplomacy and Policy

    1. Front Matter

      Pages 57-57
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    2. Automating the Analysis of Institutional Design in International Agreements

      • Anna Wróblewska, Bartosz Pieliński, Karolina Seweryn, Sylwia Sysko-Romańczuk, Karol Saputa, Aleksandra Wichrowska et al.
      Pages 59-73

    3. Modeling Mechanisms of School Segregation and Policy Interventions: A Complexity Perspective

      • Eric Dignum, Willem Boterman, Andreas Flache, Mike Lees
      Pages 74-89

    4. An Approach for Probabilistic Modeling and Reasoning of Voting Networks

      • Douglas O. Cardoso, Willian P. C. Lima, Guilherme G. V. L. Silva, Laura S. Assis
      Pages 90-104

    5. An Analysis of Political Parties Cohesion Based on Congressional Speeches

      • Willian P. C. Lima, Lucas C. Marques, Laura S. Assis, Douglas O. Cardoso
      Pages 105-119

  4. Computational Health

    1. Front Matter

      Pages 121-121
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    2. Comparative Study of Meta-heuristic Algorithms for Damage Detection Problem

      • Kamel Belhadj, Najeh Ben Guedria, Ali Helali, Omar Anis Harzallah, Chokri Bouraoui, Lhassane Idoumghar
      Pages 123-137

    3. Estimation of the Impact of COVID-19 Pandemic Lockdowns on Breast Cancer Deaths and Costs in Poland Using Markovian Monte Carlo Simulation

      • Magdalena Dul, Michal K. Grzeszczyk, Ewelina Nojszewska, Arkadiusz Sitek
      Pages 138-152

    4. Machine Learning for Risk Stratification of Diabetic Foot Ulcers Using Biomarkers

      • Kyle Martin, Ashish Upadhyay, Anjana Wijekoon, Nirmalie Wiratunga, Stewart Massie
      Pages 153-161

    5. A Robust Machine Learning Protocol for Prediction of Prostate Cancer Survival at Multiple Time-Horizons

      • Wojciech Lesiński, Witold R. Rudnicki
      Pages 162-169

    6. Supervised Machine Learning Techniques Applied to Medical Records Toward the Diagnosis of Rare Autoimmune Diseases

      • Pedro Emilio Andrade Martins, Márcio Eloi Colombo Filho, Ana Clara de Andrade Mioto, Filipe Andrade Bernardi, Vinícius Costa Lima, Têmis Maria Félix et al.
      Pages 170-184

    7. Handwriting Analysis AI-Based System for Assisting People with Dysgraphia

      • Richa Gupta, Deepti Mehrotra, Redouane Bouhamoum, Maroua Masmoudi, Hajer Baazaoui
      Pages 185-199

    8. Universal Machine-Learning Processing Pattern for Computing in the Video-Oculography

      • Albert Śledzianowski, Jerzy P. Nowacki, Konrad Sitarz, Andrzej W. Przybyszewski
      Pages 200-212

    9. RuMedSpellchecker: Correcting Spelling Errors for Natural Russian Language in Electronic Health Records Using Machine Learning Techniques

      • Dmitrii Pogrebnoi, Anastasia Funkner, Sergey Kovalchuk
      Pages 213-227
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Other volumes

  1. Computational Science – ICCS 2023

  2. Computational Science – ICCS 2023

  3. Computational Science – ICCS 2023

  4. Computational Science – ICCS 2023

  5. Computational Science – ICCS 2023

Editors and Affiliations

  • Czech Technical University in Prague, Prague, Czech Republic

    Jiří Mikyška

  • University of Amsterdam, Amsterdam, The Netherlands

    Clélia de Mulatier, Valeria V. Krzhizhanovskaya, Peter M.A. Sloot

  • AGH University of Science and Technology, Krakow, Poland

    Maciej Paszynski

  • University of Tennessee at Knoxville, Knoxville, USA

    Jack J. Dongarra

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