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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 III. Lecture Notes in Computer Science 12139, Springer 2020, ISBN 978-3-030-50419-9
Advances in High-Performance Computational Earth Sciences: Applications and Frameworks
- Takuma Yamaguchi, Tsuyoshi Ichimura, Kohei Fujita, Muneo Hori, Lalith Wijerathne, Naonori Ueda:
Data-Driven Approach to Inversion Analysis of Three-Dimensional Inner Soil Structure via Wave Propagation Analysis. 3-17 - Sota Murakami, Takuma Yamaguchi, Kohei Fujita, Tsuyoshi Ichimura, Maddegedara Lalith, Muneo Hori:
Data Assimilation in Volcano Deformation Using Fast Finite Element Analysis with High Fidelity Model. 18-31 - Sebastian Wolf, Alice-Agnes Gabriel, Michael Bader:
Optimization and Local Time Stepping of an ADER-DG Scheme for Fully Anisotropic Wave Propagation in Complex Geometries. 32-45 - Diego Romano, Valeria Mele, Marco Lapegna:
The Challenge of Onboard SAR Processing: A GPU Opportunity. 46-59 - Mingzhao Liu, Yaopeng Huang, Lars Hoffmann, Chunyan Huang, Pin Chen, Yi Heng:
High-Resolution Source Estimation of Volcanic Sulfur Dioxide Emissions Using Large-Scale Transport Simulations. 60-73 - Magdalena Habrat, Mariusz Mlynarczuk:
Granulation-Based Reverse Image Retrieval for Microscopic Rock Images. 74-86 - Menno Genseberger, John Donners:
Hybrid SWAN for Fast and Efficient Practical Wave Modelling - Part 2. 87-100
Agent-Based Simulations, Adaptive Algorithms and Solvers
- Imran Mahmood, Mishal Jahan, Derek Groen, Aneela Javed, Faisal Shafait:
An Agent-Based Simulation of the Spread of Dengue Fever. 103-117 - Grzegorz Solinski, Maciej Wozniak, Jakub Ryzner, Albert Mosialek, Anna Paszynska:
Hypergraph Grammar-Based Model of Adaptive Bitmap Compression. 118-131 - Andrzej Bielecki, Maciej Gierdziewicz:
Simulation of Neurotransmitter Flow in Three Dimensional Model of Presynaptic Bouton. 132-143 - Mateusz Paciorek, Agata Bogacz, Wojciech Turek:
Scalable Signal-Based Simulation of Autonomous Beings in Complex Environments. 144-157 - Jon Ander Rivera, David Pardo, Elisabete Alberdi:
Design of Loss Functions for Solving Inverse Problems Using Deep Learning. 158-171 - Michal Idzik, Aleksander Byrski, Wojciech Turek, Marek Kisiel-Dorohinicki:
Asynchronous Actor-Based Approach to Multiobjective Hierarchical Strategy. 172-185 - Zheyan Zhang, Yongxing Wang, Peter K. Jimack, He Wang:
MeshingNet: A New Mesh Generation Method Based on Deep Learning. 186-198 - Damian Goik, Krzysztof Banas:
A Block Preconditioner for Scalable Large Scale Finite Element Incompressible Flow Simulations. 199-211 - Peter Fratric, Giovanni Sileno, Tom M. van Engers, Sander Klous:
Integrating Agent-Based Modelling with Copula Theory: Preliminary Insights and Open Problems. 212-225 - Marcin Skotniczny:
Computational Complexity of Hierarchically Adapted Meshes. 226-239 - Tushaar Gangavarapu, C. D. Jaidhar:
A Novel Bio-inspired Hybrid Metaheuristic for Unsolicited Bulk Email Detection. 240-254
Applications of Computational Methods in Artificial Intelligence and Machine Learning
- Kalyani Selvarajah, Ziad Kobti, Mehdi Kargar:
Link Prediction by Analyzing Temporal Behavior of Vertices. 257-271 - Kourosh Modarresi:
Detecting the Most Insightful Parts of Documents Using a Regularized Attention-Based Model. 272-281 - Xiaolin Liu, Shuhao Li, Yongzheng Zhang, Xiaochun Yun, Jia Li:
Challenge Collapsar (CC) Attack Traffic Detection Based on Packet Field Differentiated Preprocessing and Deep Neural Network. 282-296 - Michael C. Burkhart, Kyle Shan:
Deep Low-Density Separation for Semi-supervised Classification. 297-311 - Qing Zou:
Learning Functions Using Data-Dependent Regularization: Representer Theorem Revisited. 312-326 - Przemyslaw Klesk, Aneta Bera, Dariusz Sychel:
Reduction of Numerical Errors in Zernike Invariants Computed via Complex-Valued Integral Images. 327-341 - Urszula Kuzelewska:
Effect of Dataset Size on Efficiency of Collaborative Filtering Recommender Systems with Multi-clustering as a Neighbourhood Identification Strategy. 342-354 - Jie Wen, Lingwei Wei, Wei Zhou, Jizhong Han, Tao Guo:
GCN-IA: User Profile Based on Graph Convolutional Network with Implicit Association Labels. 355-364 - Sher Afghan, Uwe Naumann:
Interval Adjoint Significance Analysis for Neural Networks. 365-378 - Zhicheng Liu, Shuhao Li, Yongzheng Zhang, Xiaochun Yun, Chengwei Peng:
Ringer: Systematic Mining of Malicious Domains by Dynamic Graph Convolutional Network. 379-398 - Varun Gupta, Adam Krzyzak:
An Empirical Evaluation of Attention and Pointer Networks for Paraphrase Generation. 399-413 - Bartlomiej Jacek Kubica, Pawel Hoser, Artur Wilinski:
Interval Methods for Seeking Fixed Points of Recurrent Neural Networks. 414-423 - Anirudh Kasturi, Anish Reddy Ellore, Chittaranjan Hota:
Fusion Learning: A One Shot Federated Learning. 424-436 - Anton B. Teslyuk:
The Concept of System for Automated Scientific Literature Reviews Generation. 437-443 - Anna Jakubczyk-Galczynska, Robert Jankowski:
A Proposed Machine Learning Model for Forecasting Impact of Traffic-Induced Vibrations on Buildings. 444-451 - Marcin Pietron, Maciej Wielgosz:
Retrain or Not Retrain? - Efficient Pruning Methods of Deep CNN Networks. 452-463 - Paul Hofmann, Zaid Tashman:
Hidden Markov Models and Their Application for Predicting Failure Events. 464-477
Biomedical and Bioinformatics Challenges for Computer Science
- Lars Wienbrandt, Jan Christian Kässens, David Ellinghaus:
Reference-Based Haplotype Phasing with FPGAs. 481-495 - Marcin Czajkowski, Krzysztof Jurczuk, Marek Kretowski:
Tree Based Advanced Relative Expression Analysis. 496-510 - Pawel Teisseyre, Jan Mielniczuk, Michal J. Dabrowski:
Testing the Significance of Interactions in Genetic Studies Using Interaction Information and Resampling Technique. 511-524 - Aneta Polewko-Klim, Witold R. Rudnicki:
Analysis of Ensemble Feature Selection for Correlated High-Dimensional RNA-Seq Cancer Data. 525-538 - Tomasz Arodz:
Biological Network Visualization for Targeted Proteomics Based on Mean First-Passage Time in Semi-Lazy Random Walks. 539-549 - Krzysztof Mnich, Agnieszka Kitlas Golinska, Aneta Polewko-Klim, Witold R. Rudnicki:
Bootstrap Bias Corrected Cross Validation Applied to Super Learning. 550-563 - Marzia Settino, Mariamena Arbitrio, Francesca Scionti, Daniele Caracciolo, Maria Teresa Di Martino, Pierosandro Tagliaferri, Pierfrancesco Tassone, Mario Cannataro:
MMRF-CoMMpass Data Integration and Analysis for Identifying Prognostic Markers. 564-571 - Katerina Serafimova, Iliyan Mihaylov, Dimitar Vassilev, Irena Avdjieva, Piotr Zielenkiewicz, Szymon Kaczanowski:
Using Machine Learning in Accuracy Assessment of Knowledge-Based Energy and Frequency Base Likelihood in Protein Structures. 572-584 - Brian Davis, Kevin McLoughlin, Jonathan E. Allen, Sally R. Ellingson:
Quantifying Overfitting Potential in Drug Binding Datasets. 585-598 - Daniel Vitor de Lucena, Anderson da Silva Soares, Clarimar José Coelho, Isabela Jubé Wastowski, Arlindo Rodrigues Galvão Filho:
Detection of Tumoral Epithelial Lesions Using Hyperspectral Imaging and Deep Learning. 599-612 - Robert Cierniak, Piotr Pluta:
Statistical Iterative Reconstruction Algorithm Based on a Continuous-to-Continuous Model Formulated for Spiral Cone-Beam CT. 613-620 - Matthew Zak, Adam Krzyzak:
Classification of Lung Diseases Using Deep Learning Models. 621-634 - Ünal Sakoglu, Lohit Bhupati, Nazanin Beheshti, Nikolaos Tsekos, S. Lennart Johnsson:
An Adaptive Space-Filling Curve Trajectory for Ordering 3D Datasets to 1D: Application to Brain Magnetic Resonance Imaging Data for Classification. 635-646
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