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  • Conference proceedings
  • © 2020

Computational Science – ICCS 2020

20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020, Proceedings, Part VI

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12142)

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 2020.

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Table of contents (50 papers)

  1. Front Matter

    Pages i-xix
  2. Data Driven Computational Sciences

    1. Front Matter

      Pages 1-1
    2. A High-Performance Implementation of Bayesian Matrix Factorization with Limited Communication

      • Tom Vander Aa, Xiangju Qin, Paul Blomstedt, Roel Wuyts, Wilfried Verachtert, Samuel Kaski
      Pages 3-16
    3. Early Adaptive Evaluation Scheme for Data-Driven Calibration in Forest Fire Spread Prediction

      • Edigley Fraga, Ana Cortés, Andrés Cencerrado, Porfidio Hernández, Tomàs Margalef
      Pages 17-30
    4. Strategic Use of Data Assimilation for Dynamic Data-Driven Simulation

      • Yubin Cho, Yilin Huang, Alexander Verbraeck
      Pages 31-44
    5. PDPNN: Modeling User Personal Dynamic Preference for Next Point-of-Interest Recommendation

      • Jinwen Zhong, Can Ma, Jiang Zhou, Weiping Wang
      Pages 45-57
    6. Cyber Attribution from Topological Patterns

      • Yang Cai, Jose Andre Morales, Guoming Sun
      Pages 58-71
    7. Spatiotemporal Filtering Pipeline for Efficient Social Networks Data Processing Algorithms

      • Ksenia Mukhina, Alexander Visheratin, Denis Nasonov
      Pages 86-99
    8. Normal Grouping Density Separation (NGDS): A Novel Object-Driven Indoor Point Cloud Partition Method

      • Jakub Walczak, Grzegorz Andrzejczak, Rafał Scherer, Adam Wojciechowski
      Pages 100-114
  3. Machine Learning and Data Assimilation for Dynamical Systems

    1. Front Matter

      Pages 115-115
    2. Learning Hidden States in a Chaotic System: A Physics-Informed Echo State Network Approach

      • Nguyen Anh Khoa Doan, Wolfgang Polifke, Luca Magri
      Pages 117-123
    3. Learning Ergodic Averages in Chaotic Systems

      • Francisco Huhn, Luca Magri
      Pages 124-132
    4. Supermodeling: The Next Level of Abstraction in the Use of Data Assimilation

      • Marcin Sendera, Gregory S. Duane, Witold Dzwinel
      Pages 133-147
    5. A New Multilayer Network Construction via Tensor Learning

      • Giuseppe Brandi, Tiziana Di Matteo
      Pages 148-154
    6. Neural Assimilation

      • Rossella Arcucci, Lamya Moutiq, Yi-Ke Guo
      Pages 155-168
    7. A Machine-Learning-Based Importance Sampling Method to Compute Rare Event Probabilities

      • Vishwas Rao, Romit Maulik, Emil Constantinescu, Mihai Anitescu
      Pages 169-182
    8. Node Classification in Complex Social Graphs via Knowledge-Graph Embeddings and Convolutional Neural Network

      • Bonaventure C. Molokwu, Shaon Bhatta Shuvo, Narayan C. Kar, Ziad Kobti
      Pages 183-198
    9. Accelerated Gaussian Convolution in a Data Assimilation Scenario

      • Pasquale De Luca, Ardelio Galletti, Giulio Giunta, Livia Marcellino
      Pages 199-211
    10. On the Complementary Role of Data Assimilation and Machine Learning: An Example Derived from Air Quality Analysis

      • Richard Ménard, Jean-François Cossette, Martin Deshaies-Jacques
      Pages 212-224

About this book

The seven-volume set LNCS 12137, 12138, 12139, 12140, 12141, 12142, and 12143 constitutes the proceedings of the 20th International Conference on Computational Science, ICCS 2020, held in Amsterdam, The Netherlands, in June 2020.*

The total of 101 papers and 248 workshop papers presented in this book set were carefully reviewed and selected from 719 submissions (230 submissions to the main track and 489 submissions to the workshops). The papers were organized in topical sections named:

Part I: ICCS Main Track

Part II: ICCS Main Track

Part III: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Agent-Based Simulations, Adaptive Algorithms and Solvers; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Biomedical and Bioinformatics Challenges for Computer Science

Part IV: Classifier Learning from Difficult Data; Complex Social Systems through the Lens of Computational Science; Computational Health; Computational Methods for Emerging Problems in (Dis-)Information Analysis

Part V: Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems; Computer Graphics, Image Processing and Artificial Intelligence

Part VI: Data Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; Meshfree Methods in Computational Sciences; Multiscale Modelling and Simulation; Quantum Computing Workshop

Part VII: Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainties; Teaching Computational Science; UNcErtainty QUantIficatiOn for ComputationAl modeLs

*The conference was canceled due to the COVID-19 pandemic.


Editors and Affiliations

  • University of Amsterdam, Amsterdam, The Netherlands

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

  • University of Tennessee, Knoxville, USA

    Jack J. Dongarra

  • Intellegibilis, Setúbal, Portugal

    Sérgio Brissos, João Teixeira

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
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