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会议文集


文集名Computational Science - ICCS 2022
会议名22nd International Conference on Computational Science (ICCS 2022)
中译名《第二十二届国际计算科学会议，卷3》
会议日期June 21-23, 2022
会议地点London, UK
出版年2022
馆藏号344120


题名作者出版年
Knowledge Discovery in Databases: Comorbidities in Tuberculosis CasesIsabelle Carvalho; Mariane Barros Neiva; Newton Shydeo Brandao Miyoshi; Nathalia Yukie Crepaldi; Filipe Andrade Bernardi; Vinicius Costa Lima; Ketlin Fabri dos Santos; Ana Clara de Andrade Mioto; Mariana Tavares Mozini; Rafael Mello Galliez; Mauro Niskier Sanchez; Afranio Lineu Kritski; Domingos Alves2022
Noninvasive Estimation of Mean Pulmonary Artery Pressure Using MRI, Computer Models, and Machine LearningMichal K. Grzeszczyk; Tadeusz Satlawa; Angela Lungu; Andrew Swift; Andrew Narracott; Rod Hose; Tomasz Trzcinski; Arkadiusz Sitek2022
GAN-Based Data Augmentation for Prediction Improvement Using Gene Expression Data in CancerFrancisco J. Moreno-Barea; Jose M. Jerez; Leonardo Franco2022
National Network for Rare Diseases in Brazil: The Computational Infrastructure and Preliminary ResultsDiego Bettiol Yamada; Filipe Andrade Bernardi; Marcio Eloi Colombo Filho; Mariane Barros Neiva; Vinfcius Costa Lima; Andre Luiz Teixeira Vinci; Bibiana Mello de Oliveira; Temis Maria Felix; Domingos Alves2022
Classification of Uterine Fibroids in Ultrasound Images Using Deep Learning ModelK. T. Dilna; J. Anitha; A. Angelopoulou; E. Kapetanios; T. Chaussalet; D. Jude Hemanth2022
Explainable AI with Domain Adapted FastCAM for Endoscopy ImagesJan Stodt; Christoph Reich; Nathan Clarke2022
Sensitivity Analysis of a Model of Lower Limb HaemodynamicsMagdalena Otta; Ian Halliday; Janice Tsui; Chung Lim; Zbigniew R. Struzik; Andrew Narracott2022
Data Augmentation Techniques to Improve Metabolomic Analysis in Niemann-Pick Type C DiseaseFrancisco J. Moreno-Barea; Leonardo Franco; David Elizondo; Martin Grootveld2022
Effect of Feature Discretization on Classification Performance of Explainable Scoring-Based Machine Learning ModelArkadiusz Pajor; Jakub Zolnierek; Bartlomiej Sniezynski; Arkadiusz Sitek2022
Hybrid Modeling for Predicting Inpatient Treatment Outcome: COVID-19 CaseSimon D. Usoltsev; Ilia V. Derevitskii2022
Neural Additive Models for Explainable Heart Attack PredictionKsenia Balabaeva; Sergey Kovalchuk2022
Machine Learning Models for Predicting 30-Day Readmission of Elderly Patients Using Custom Target Encoding ApproachNodira Nazyrova; Thierry J. Chaussalet; Salma Chahed2022
Patient- and Ventilator-Specific Modeling to Drive the Use and Development of 3D Printed Devices for Rapid Ventilator Splitting During the COVID-19 PandemicMuath Bishawi; Michael Kaplan; Simbarashe Chidyagwai; Jhaymie Cappiello; Anne Cherry; David MacLeod; Ken Gall; Nathan Evans; Michael Kim; Rajib Shaha; John Whittle; Melanie Hollidge; George Truskey; Amanda Randles2022
AI Classifications Applied to Neuropsychological Trials in Normal Individuals that Predict Progression to Cognitive DeclineAndrzej W. Przybyszewski2022
Super-Resolution Convolutional Network for Image Quality Enhancement in Remote Photoplethysmography Based Heart Rate EstimationK. Smera Premkumar; A. Angelopoulou; E. Kapetanios; T. Chaussalet; D. Jude Hemanth2022
A Hybrid Modeling Framework for City-Scale Dynamics of Multi-strain Influenza EpidemicsVasiliy Leonenko2022
Numerical Stability of Tangents and Adjoints of Implicit FunctionsUwe Naumann2022
Analysis of Parameters Distribution of EEG Signals for Five Epileptic Seizure Phases Modeled by Duffing Van Der Pol OscillatorBeata Szuflitowska; Przemyslaw Orlowski2022
Multi-criterial Design of Antennas with Tolerance Analysis Using Response-Feature PredictorsAnna Pietrenko-Dabrowska; Slawomir Koziel; Leifur Leifsson2022
Expedited Optimization of Passive Microwave Devices Using Gradient Search and Principal DirectionsSlawomir Koziel; Anna Pietrenko-Dabrowska; Leifur Leifsson2022
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