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ORCID22nd ICCS 2022: London, UK - Part II
- Derek Groen
, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2022 - 22nd International Conference, London, UK, June 21-23, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13351, Springer 2022, ISBN 978-3-031-08753-0
ICCS 2022 Main Track Short Papers
- Michael C. Burkhart, Gabriel Ruiz:
Neuroevolutionary Feature Representations for Causal Inference. 3-10 - Julien Klaus, Mark Blacher, Joachim Giesen, Paul Gerhardt Rump, Konstantin Wiedom:
Compiling Linear Algebra Expressions into Efficient Code. 11-17 - Andrzej Kuzelewski, Eugeniusz Zieniuk, Marta Czupryna:
Interval Modification of the Fast PIES in Solving 2D Potential BVPs with Uncertainly Defined Polygonal Boundary Shape. 18-25 - Moritz Renkin, Jonas Bischofberger, Erich Schikuta, Arnold Baca:
Validation and Optimisation of Player Motion Models in Football. 26-32 - Bartosz Balis, Andrzej Bronski, Mateusz Szarek:
Auto-scaling of Scientific Workflows in Kubernetes. 33-40 - Ranjini Surendran, J. Anitha, Anastassia Angelopoulou, Epaminondas Kapetanios, T. Chausalet, D. Jude Hemanth:
Transfer Learning Based Natural Scene Classification for Scene Understanding by Intelligent Machines. 41-48 - Cezary Klamra, Grzegorz Wojdyga, Sebastian Zurowski, Paulina Rosalska, Matylda Kozlowska, Maciej Ogrodniczuk:
Devulgarization of Polish Texts Using Pre-trained Language Models. 49-55 - Abhishek Kumar Singh, Mani Mehra, Anatoly A. Alikhanov:
Data-Driven Discovery of Time Fractional Differential Equations. 56-63 - Daniel Kostrzewa, Wojciech Mazur, Robert Brzeski:
Wide Ensembles of Neural Networks in Music Genre Classification. 64-71 - Piotr Milkowski, Marcin Gruza, Przemyslaw Kazienko, Joanna Szolomicka, Stanislaw Wozniak, Jan Kocon:
MultiEmo: Language-Agnostic Sentiment Analysis. 72-79 - Tomasz Jastrzab, Michal Myller, Lukasz Tulczyjew, Miroslaw Blocho, Wojciech Ryczko, Michal Kawulok, Jakub Nalepa:
Particle Swarm Optimization Configures the Route Minimization Algorithm. 80-87 - Elie Saad, Marcin Paprzycki, Maria Ganzha:
Practical Aspects of Zero-Shot Learning. 88-95 - Khaldoon Dhou, Christopher Cruzen:
A Hypothetical Agent-Based Model Inspired by the Abstraction of Solitary Behavior in Tigers and Its Employment as a Chain Code for Compression. 96-102 - Dariusz Palka, Robert Lubas, Jaroslaw Was:
Analyzing the Usefulness of Public Web Camera Video Sequences for Calibrating and Validating Pedestrian Dynamics Models. 103-109 - Luís Spínola, Daniel Castro Silva, Luís Paulo Reis:
A Highly Customizable Information Visualization Framework. 110-116 - Mahmoud Miari, Robert Jankowski:
Incremental Dynamic Analysis and Fragility Assessment of Buildings with Different Structural Arrangements Experiencing Earthquake-Induced Structural Pounding. 117-124 - Agnieszka Boltuc, Eugeniusz Zieniuk:
PIES with Trimmed Surfaces for Solving Elastoplastic Boundary Problems. 125-131 - Pawel Maczuga, Maciej Paszynski, Victor M. Calo:
Linear Computational Cost Implicit Variational Splitting Solver with Non-regular Material Data for Parabolic Problems. 132-138 - Amparo Fúster-Sabater, Verónica Requena, Sara D. Cardell:
A Hadamard Matrix-Based Algorithm to Evaluate the Strength of Binary Sequences. 139-145 - Michal Jarema, Katarzyna Sznajd-Weron:
Private and Public Opinions in a Model Based on the Total Dissonance Function: A Simulation Study. 146-153 - Hoai Nguyen Huynh:
Analysis of Public Transport (in)accessibility and Land-Use Pattern in Different Areas in Singapore. 154-161 - Krzysztof Gdawiec, Agnieszka Lisowska, Wieslaw Kotarski:
Pseudo-Newton Method with Fractional Order Derivatives. 162-168 - Jitendra Kumar Samriya, Mohit Kumar, Maria Ganzha, Marcin Paprzycki, Marek Bolanowski, Andrzej Paszkiewicz:
An Energy Aware Clustering Scheme for 5G-Enabled Edge Computing Based IoMT Framework. 169-176 - Changbo Tian, Yongzheng Zhang, Tao Yin:
A Framework for Network Self-evolving Based on Distributed Swarm Intelligence. 177-183 - Farzin Kazemi, Neda Asgarkhani, Ahmed Manguri, Robert Jankowski:
Investigating an Optimal Computational Strategy to Retrofit Buildings with Implementing Viscous Dampers. 184-191 - Agnieszka Jastrzebska, Wladyslaw Homenda, Witold Pedrycz:
ARIMA Feature-Based Approach to Time Series Classification. 192-199 - Uwe Naumann:
A Note on Adjoint Linear Algebra. 200-206 - Martin Lukac, Krzysztof Podlaski, Michitaka Kameyama:
Approximate Function Classification. 207-213 - Ryo Yoda, Matthias Bolten, Kengo Nakajima, Akihiro Fujii:
Acceleration of Optimized Coarse-Grid Operators by Spatial Redistribution for Multigrid Reduction in Time. 214-221 - Andrey Bezborodov, Irina Deeva:
Networks Clustering-Based Approach for Search of Reservoirs-Analogues. 222-228 - Maria Harita, Alvaro Wong, Dolores Rexachs, Emilio Luque:
KP01 Solved by an n-Dimensional Sampling and Clustering Heuristic. 229-236 - Dominik Zurek, Marcin Pietron, Kamil Pietak, Marek Kisiel-Dorohinicki:
A Deep Neural Network as a TABU Support in Solving LABS Problem. 237-243 - Wiktor Walentynowicz, Maciej Piasecki, Mateusz Gniewkowski:
Classification and Generation of Derivational Morpho-semantic Relations for Polish Language. 244-251 - Farzana Afrin, Margaret Hamilton, Charles Thevathyan:
On the Explanation of AI-Based Student Success Prediction. 252-258 - Sarah Wise, Sveta Milusheva, Sophie Ayling:
The Importance of Scaling for an Agent Based Model: An Illustrative Case Study with COVID-19 in Zimbabwe. 259-265 - Minh Ngoc Dinh, Chien Trung Vo, Cuong Tan Nguyen, Ngoc Minh La:
Phase-Field Modelling of Brittle Fracture Using Time-Series Forecasting. 266-274
Advances in High-Performance Computational Earth Sciences: Applications and Frameworks
- Yuma Kikuchi, Kohei Fujita, Tsuyoshi Ichimura, Muneo Hori, Lalith Maddegedara:
Calculation of Cross-correlation Function Accelerated by Tensor Cores with TensorFloat-32 Precision on Ampere GPU. 277-290 - Peter Schwartz, Dali Wang, Fengming Yuan, Peter E. Thornton:
Developing an ELM Ecosystem Dynamics Model on GPU with OpenACC. 291-303
Artificial Intelligence and High-Performance Computing for Advanced Simulations
- Sichao Li, Jonathan Y. C. Ting, Amanda S. Barnard:
Optimization-Free Inverse Design of High-Dimensional Nanoparticle Electrocatalysts Using Multi-target Machine Learning. 307-318 - Jindong Wang, Jinchao Xu, Jianqing Zhu:
CNNs with Compact Activation Function. 319-327 - Kamil Doleglo, Maciej Paszynski, Leszek F. Demkowicz:
Deep Neural Networks and Smooth Approximation of PDEs. 328-332 - Quanling Deng:
Isogeometric Analysis of Bound States of a Quantum Three-Body Problem in 1D. 333-346 - Felipe Vinicio Caro, Vincent Darrigrand, Julen Álvarez-Aramberri, Elisabete Alberdi Celaya, David Pardo:
1D Painless Multi-level Automatic Goal-Oriented h and p Adaptive Strategies Using a Pseudo-Dual Operator. 347-357 - Felix James Pacis, Sergey Alyaev, Adrian Ambrus, Tomasz Wiktorski:
Transfer Learning Approach to Prediction of Rate of Penetration in Drilling. 358-371 - Benjamin Wu, Oliver Hennigh, Jan Kautz, Sanjay Choudhry, Wonmin Byeon:
Physics Informed RNN-DCT Networks for Time-Dependent Partial Differential Equations. 372-379 - Mateusz Dobija, Anna Paszynska:
Recursive Singular Value Decomposition Compression of Refined Isogeometric Analysis Matrices as a Tool to Speedup Iterative Solvers Performance. 380-393 - Tymoteusz Dobrzanski, Aleksandra Urbanczyk, Tomasz Pelech-Pilichowski, Marek Kisiel-Dorohinicki, Aleksander Byrski:
Neural-Network Based Adaptation of Variation Operators' Parameters for Metaheuristics. 394-407 - Jacek Tchórzewski, Aleksander Byrski:
Performance of Computing Hash-Codes with Chaotically-Trained Artificial Neural Networks. 408-421 - Mateusz Sokól, Maciej Smolka:
Application of the Hierarchic Memetic Strategy HMS in Neuroevolution. 422-429
Biomedical and Bioinformatics Challenges for Computer Science
- Filip Slazyk, Przemyslaw Jablecki, Aneta Lisowska, Maciej Malawski, Szymon Plotka:
CXR-FL: Deep Learning-Based Chest X-ray Image Analysis Using Federated Learning. 433-440 - Tomasz Szczepanski, Arkadiusz Sitek, Tomasz Trzcinski, Szymon Plotka:
POTHER: Patch-Voted Deep Learning-Based Chest X-ray Bias Analysis for COVID-19 Detection. 441-454 - Evandro Dias Gaio, Bernardo Martins Rocha, Rodrigo Weber dos Santos:
Modeling Contrast Perfusion and Adsorption Phenomena in the Human Left Ventricle. 455-468 - Riccardo Dondi, Mohammad Mehdi Hosseinzadeh, Italo Zoppis:
Dense Temporal Subgraphs in Protein-Protein Interaction Networks. 469-480 - Piotr Grzesik, Dariusz Mrozek:
Accelerating Edge Metagenomic Analysis with Serverless-Based Cloud Offloading. 481-492 - Robert Cierniak:
Continuous-to-Continuous Data Model vs. Discrete-to-Discrete Data Model for the Statistical Iterative Reconstruction Method. 493-506 - Adrianna Bielak, Radoslaw Bednarski, Adam Wojciechowski:
Musculoskeletal Model of Human Lower Limbs in Gait Simulation. 507-513 - Gustavo Resende Fatigate, Rafael Felipe Coelho Neves, Marcelo Lobosco, Ruy Freitas Reis:
Tissue Damage Control Algorithm for Hyperthermia Based Cancer Treatments. 514-525 - Chiara Zucco, Barbara Calabrese, Rossana Mancuso, Miriam Sturniolo, Antonio Gambardella, Mario Cannataro:
Resting-State EEG Classification for PNES Diagnosis. 526-538 - Ileana Scarpino, Rosarina Vallelunga, Francesco Luzza, Mario Cannataro:
Machine Learning Approaches in Inflammatory Bowel Disease. 539-545 - Dawlat Al-Saadany, Omneya Attallah, Khaled Elzaafarany, A. A. A. Nasser:
A Machine Learning Framework for Fetal Arrhythmia Detection via Single ECG Electrode. 546-553
Computational Collective Intelligence
- Pawel Foszner, Wojciech Labaj, Andrzej Polanski, Michal Staniszewski:
Consensus Algorithm for Bi-clustering Analysis. 557-570 - Joanna Jedrzejowicz, Piotr Jedrzejowicz:
Collective of Base Classifiers for Mining Imbalanced Data. 571-585 - Ireneusz Czarnowski, Denis Mayr Lima Martins:
Impact of Clustering on a Synthetic Instance Generation in Imbalanced Data Streams Classification. 586-597 - Jacek Trelinski, Bogdan Kwolek:
Enhancing Decision Combination in Classifier Committee via Positional Voting. 598-609 - Franciszek Seredynski, Tomasz Kulpa, Rolf Hoffmann:
Competition and Cooperation Mechanisms for Collective Behavior in Large Multi-agent Systems. 610-623 - Marcin Maleszka:
Divergence of an Observed User Profile and a Simulated Real State of User Due to Social Communication. 624-637 - Lihi Idan:
Temporal-Attribute Inference Using Dynamic Bayesian Networks. 638-652 - Bogumila Hnatkowska, Adrianna Kozierkiewicz, Marcin Pietranik:
Fuzzy Logic Framework for Ontology Instance Alignment. 653-666 - Jan Kocon, Joanna Baran, Marcin Gruza, Arkadiusz Janz, Michal Kajstura, Przemyslaw Kazienko, Wojciech Korczynski, Piotr Milkowski, Maciej Piasecki, Joanna Szolomicka:
Neuro-Symbolic Models for Sentiment Analysis. 667-681 - Arkadiusz Janz, Agnieszka Dziob, Marcin Oleksy, Joanna Baran:
A Unified Sense Inventory for Word Sense Disambiguation in Polish. 682-689 - Huyen Trang Phan, Ngoc Thanh Nguyen, Zygmunt Mazur, Dosam Hwang:
Sentence-level Sentiment Analysis Using GCN on Contextualized Word Representations. 690-702 - Lukasz Palys, Maria Ganzha, Marcin Paprzycki:
Machine Learning for Bus Travel Prediction. 703-710 - Andras Ferenczi, Costin Badica:
Prediction of Ether Prices Using DeepAR and Probabilistic Forecasting. 711-718 - Arkadiusz Jedrzejewski, Katarzyna Sznajd-Weron, Jakub Pawlowski, Anna Kowalska-Pyzalska:
Purchasing Decisions on Alternative Fuel Vehicles Within an Agent-Based Model. 719-726
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