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  • © 2019

Computational Science – ICCS 2019

19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part III

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11538)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Conference series link(s): ICCS: International Conference on Computational Science

Conference proceedings info: ICCS 2019.

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Table of contents (56 papers)

  1. Front Matter

    Pages i-xx
  2. Track of Biomedical and Bioinformatics Challenges for Computer Science

    1. Front Matter

      Pages 1-1
    2. Parallelization of an Algorithm for Automatic Classification of Medical Data

      • Victor M. Garcia-Molla, Addisson Salazar, Gonzalo Safont, Antonio M. Vidal, Luis Vergara
      Pages 3-16
    3. The Chain Alignment Problem

      • Leandro Lima, Said Sadique Adi
      Pages 17-30
    4. Comparing Deep and Machine Learning Approaches in Bioinformatics: A miRNA-Target Prediction Case Study

      • Valentina Giansanti, Mauro Castelli, Stefano Beretta, Ivan Merelli
      Pages 31-44
    5. An Approach for Semantic Data Integration in Cancer Studies

      • Iliyan Mihaylov, Maria Nisheva-Pavlova, Dimitar Vassilev
      Pages 60-73
    6. A Study of the Electrical Propagation in Purkinje Fibers

      • Lucas Arantes Berg, Rodrigo Weber dos Santos, Elizabeth M. Cherry
      Pages 74-86
    7. A Multi-objective Swarm-Based Algorithm for the Prediction of Protein Structures

      • Leonardo de Lima Corrêa, Márcio Dorn
      Pages 101-115
    8. Combining Polynomial Chaos Expansions and Genetic Algorithm for the Coupling of Electrophysiological Models

      • Gustavo Montes Novaes, Joventino Oliveira Campos, Enrique Alvarez-Lacalle, Sergio Alonso Muñoz, Bernardo Martins Rocha, Rodrigo Weber dos Santos
      Pages 116-129
    9. A Cloud Architecture for the Execution of Medical Imaging Biomarkers

      • Sergio López-Huguet, Fabio García-Castro, Angel Alberich-Bayarri, Ignacio Blanquer
      Pages 130-144
    10. A Self-adaptive Local Search Coordination in Multimeme Memetic Algorithm for Molecular Docking

      • Pablo Felipe Leonhart, Pedro Henrique Narloch, Márcio Dorn
      Pages 145-159
    11. Parallel CT Reconstruction for Multiple Slices Studies with SuiteSparseQR Factorization Package

      • Mónica Chillarón, Vicente Vidal, Gumersindo Verdú
      Pages 160-169
  3. Track of Classifier Learning from Difficult Data

    1. Front Matter

      Pages 171-171
    2. On the Role of Cost-Sensitive Learning in Imbalanced Data Oversampling

      • Bartosz Krawczyk, Michal Wozniak
      Pages 180-191
    3. Characterization of Handwritten Signature Images in Dissimilarity Representation Space

      • Victor L. F. Souza, Adriano L. I. Oliveira, Rafael M. O. Cruz, Robert Sabourin
      Pages 192-206
    4. Missing Features Reconstruction and Its Impact on Classification Accuracy

      • Magda Friedjungová, Marcel Jiřina, Daniel Vašata
      Pages 207-220
    5. A Deep Malware Detection Method Based on General-Purpose Register Features

      • Fang Li, Chao Yan, Ziyuan Zhu, Dan Meng
      Pages 221-235

About this book

The five-volume set LNCS 11536, 11537, 11538, 11539 and 11540 constitutes the proceedings of the 19th International Conference on Computational Science, ICCS 2019, held in Faro, Portugal, in June 2019.

The total of 65 full papers and 168 workshop papers presented in this book set were carefully reviewed and selected from 573 submissions (228 submissions to the main track and 345 submissions to the workshops). The papers were organized in topical sections named:

Part I: ICCS Main Track

Part II: ICCS Main Track; Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Track of Agent-Based Simulations, Adaptive Algorithms and Solvers; Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning; Track of Architecture, Languages, Compilation and Hardware Support for Emerging and Heterogeneous Systems

Part III: Track of Biomedical and Bioinformatics Challenges for Computer Science; Track of Classifier Learning from Difficult Data; Track of Computational Finance and Business Intelligence; Track of Computational Optimization, Modelling and Simulation; Track of Computational Science in IoT and Smart Systems

Part IV: Track of Data-Driven Computational Sciences; Track of Machine Learning and Data Assimilation for Dynamical Systems; Track of Marine Computing in the Interconnected World for the Benefit of the Society; Track of Multiscale Modelling and Simulation; Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation

Part V: Track of Smart Systems: Computer Vision, Sensor Networks and Machine Learning; Track of Solving Problems with Uncertainties; Track of Teaching Computational Science; Poster Track ICCS 2019

Chapter “Comparing Domain-decomposition Methods for the Parallelization of Distributed Land Surface Models” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Editors and Affiliations

  • University of Algarve, Faro, Portugal

    João M. F. Rodrigues, Pedro J. S. Cardoso, Jânio Monteiro, Roberto Lam

  • University of Amsterdam, Amsterdam, The Netherlands

    Valeria V. Krzhizhanovskaya, Michael H. Lees, Peter M.A. Sloot

  • University of Tennessee at Knoxville, Knoxville, USA

    Jack J. Dongarra

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access