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22nd ICCS 2022: London, UK - Part III
- Derek Groen
, Clélia de Mulatier
Computational Science - ICCS 2022 - 22nd International Conference, London, UK, June 21-23, 2022, Proceedings, Part III. Lecture Notes in Computer Science 13352, Springer 2022, ISBN 978-3-031-08756-1
Computational Health
- Isabelle Carvalho
Knowledge Discovery in Databases: Comorbidities in Tuberculosis Cases. 3-13 - Michal K. Grzeszczyk
Noninvasive Estimation of Mean Pulmonary Artery Pressure Using MRI, Computer Models, and Machine Learning. 14-27 - Francisco J. Moreno-Barea
GAN-Based Data Augmentation for Prediction Improvement Using Gene Expression Data in Cancer. 28-42 - Diego Bettiol Yamada
National Network for Rare Diseases in Brazil: The Computational Infrastructure and Preliminary Results. 43-49 - K. T. Dilna, J. Anitha, Anastassia Angelopoulou
Classification of Uterine Fibroids in Ultrasound Images Using Deep Learning Model. 50-56 - Jan Stodt
Explainable AI with Domain Adapted FastCAM for Endoscopy Images. 57-64 - Magdalena Otta
Sensitivity Analysis of a Model of Lower Limb Haemodynamics. 65-77 - Francisco J. Moreno-Barea
Data Augmentation Techniques to Improve Metabolomic Analysis in Niemann-Pick Type C Disease. 78-91 - Arkadiusz Pajor
Effect of Feature Discretization on Classification Performance of Explainable Scoring-Based Machine Learning Model. 92-105 - Simon D. Usoltsev
Hybrid Modeling for Predicting Inpatient Treatment Outcome: COVID-19 Case. 106-112 - Ksenia Balabaeva, Sergey V. Kovalchuk:
Neural Additive Models for Explainable Heart Attack Prediction. 113-121 - Nodira Nazyrova
Machine Learning Models for Predicting 30-Day Readmission of Elderly Patients Using Custom Target Encoding Approach. 122-136 - Muath Bishawi, Michael Kaplan
Patient- and Ventilator-Specific Modeling to Drive the Use and Development of 3D Printed Devices for Rapid Ventilator Splitting During the COVID-19 Pandemic. 137-149 - Andrzej W. Przybyszewski
AI Classifications Applied to Neuropsychological Trials in Normal Individuals that Predict Progression to Cognitive Decline. 150-156 - K. Smera Premkumar, Anastassia Angelopoulou
Super-Resolution Convolutional Network for Image Quality Enhancement in Remote Photoplethysmography Based Heart Rate Estimation. 157-163 - Vasiliy N. Leonenko
A Hybrid Modeling Framework for City-Scale Dynamics of Multi-strain Influenza Epidemics. 164-177
Computational Optimization, Modelling and Simulation
- Uwe Naumann
Numerical Stability of Tangents and Adjoints of Implicit Functions. 181-187 - Beata Szuflitowska
Analysis of Parameters Distribution of EEG Signals for Five Epileptic Seizure Phases Modeled by Duffing Van Der Pol Oscillator. 188-201 - Anna Pietrenko-Dabrowska
Multi-criterial Design of Antennas with Tolerance Analysis Using Response-Feature Predictors. 202-216 - Slawomir Koziel
Expedited Optimization of Passive Microwave Devices Using Gradient Search and Principal Directions. 217-233 - Alexander A. Khrulkov, Margarita E. Mishina, Sergey A. Mityagin:
Approach to Imputation Multivariate Missing Data of Urban Buildings by Chained Equations Based on Geospatial Information. 234-247 - Anna Pietrenko-Dabrowska
Global Design Optimization of Microwave Circuits Using Response Feature Inverse Surrogates. 248-262 - Aleksandra Konopka
Classification of Soil Bacteria Based on Machine Learning and Image Processing. 263-277 - Julia Nasiadka
Calibration Window Selection Based on Change-Point Detection for Forecasting Electricity Prices. 278-284 - Ewa Duda
Tackling Air Pollution in Cities with Modelling and Simulation: Remote Group Model Building as an Educational Tool Supporting System Dynamics Modelling. 285-297 - Krzysztof Misan, Weronika Ormaniec, Adam Kania, Maciej Kozieja, Marcin Los
Fast Isogeometric Analysis Simulations of a Process of Air Pollution Removal by Artificially Generated Shock Waves. 298-311 - Maciej K. Wozniak
Automatic Generation of Individual Fuzzy Cognitive Maps from Longitudinal Data. 312-325 - Bozena Mielczarek
A Simulation Study of the Delayed Effect of Covid-19 Pandemic on Pensions and Welfare of the Elderly: Evidence from Poland. 326-340 - Ryszard Kozera
Non-Generic Case of Leap-Frog for Optimal Knots Selection in Fitting Reduced Data. 341-354 - Roman Debski
Adaptive Surrogate-Assisted Optimal Sailboat Path Search Using Onboard Computers. 355-368 - Miroslaw Kordos, Rafal Kulka, Tomasz Steblik, Rafal Scherer:
Local Search in Selected Crossover Operators. 369-382 - Alicja Poturala, Maria Konieczka, Piotr Sliwka
Numerical and Statistical Probability Distribution Transformation for Modeling Traffic in Optical Networks. 383-397 - Christos K. Filelis-Papadopoulos
GPU Accelerated Modelling and Forecasting for Large Time Series. 398-412 - Wali Mohammad Abdullah, David Awosoga
Intersection Representation of Big Data Networks and Triangle Enumeration. 413-424 - Leifur Leifsson
Global Surrogate Modeling by Neural Network-Based Model Uncertainty. 425-434 - Yen-Chen Liu
Analysis of Agricultural and Engineering Systems Using Simulation Decomposition. 435-444 - Yen-Chen Liu
Neural Network-Based Sequential Global Sensitivity Analysis Algorithm. 445-454 - Maksymilian Piechota, Mikolaj Nowak, Dariusz Król
Development of an Event-Driven System Architecture for Smart Manufacturing. 455-468 - Krzysztof Szerszen
Boundary Geometry Fitting with Bézier Curves in PIES Based on Automatic Differentiation. 469-475 - Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Indradeep Ghosh, Ilya Safro:
Partitioning Dense Graphs with Hardware Accelerators. 476-483 - Thimershen Achary
A Taxonomy Guided Method to Identify Metaheuristic Components. 484-496 - Yani Xue
Camp Location Selection in Humanitarian Logistics: A Multiobjective Simulation Optimization Approach. 497-504 - Wali Mohammad Abdullah, Shahadat Hossain:
A Sparse Matrix Approach for Covering Large Complex Networks by Cliques. 505-517 - Maryam MahdavyRad, Kalyani Selvarajah, Ziad Kobti:
DSCAN for Geo-social Team Formation. 518-533 - Ralf Vamosi, Erich Schikuta
Data Allocation with Neural Similarity Estimation for Data-Intensive Computing. 534-546
Computer Graphics, Image Processing and Artificial Intelligence
- Yan Chen, Wanhui Qian, Dongqin Liu, Mengdi Zhou, Yipeng Su, Jizhong Han, Ruixuan Li:
Your Social Circle Affects Your Interests: Social Influence Enhanced Session-Based Recommendation. 549-562 - Stephen Kong Luan, Hongwei Yin, Richard O. Sinnott:
Action Recognition in Australian Rules Football Through Deep Learning. 563-576 - Junlin Wang, Yan Zhou, Yaxin Liu, Weibo Zhang, Songlin Hu:
SEGP: Stance-Emotion Joint Data Augmentation with Gradual Prompt-Tuning for Stance Detection. 577-590 - Jaroslaw Andrzejczak
Image Features Correlation with the Impression Curve for Automatic Evaluation of the Computer Game Level Design. 591-604 - Siri Chandana Daggubati
ACCirO: A System for Analyzing and Digitizing Images of Charts with Circular Objects. 605-612 - Piotr Zielinski
Learning Scale-Invariant Object Representations with a Single-Shot Convolutional Generative Model. 613-626 - Tomasz Boinski
How to Sort Them? A Network for LEGO Bricks Classification. 627-640 - Agnieszka Szczesna
Novel Photoplethysmographic Signal Analysis via Wavelet Scattering Transform. 641-653 - Mateusz Gabor
Convolutional Neural Network Compression via Tensor-Train Decomposition on Permuted Weight Tensor with Automatic Rank Determination. 654-667 - Michal Kuk
Comparing Explanations from Glass-Box and Black-Box Machine-Learning Models. 668-675 - Vei Siang Chan, Andrés Iglesias
Virtual Reality Prototype of a Linear Accelerator Simulator for Oncological Radiotherapy Training. 676-689 - Zaiping Zhu, Andrés Iglesias
A Review of 3D Point Clouds Parameterization Methods. 690-703
Machine Learning and Data Assimilation for Dynamical Systems
- Alberto Racca
Statistical Prediction of Extreme Events from Small Datasets. 707-713 - Agnieszka Nowak-Brzezinska
Outlier Detection for Categorial Data Using Clustering Algorithms. 714-727 - Kalyani Selvarajah, Jae Muzzin:
Augmenting Graph Inductive Learning Model with Topographical Features. 728-741 - Mustapha Jolaade, Vinicius L. S. Silva
Generative Networks Applied to Model Fluid Flows. 742-755 - Jake Lever
Towards Social Machine Learning for Natural Disasters. 756-769
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