Articles

Plant disease symptom segmentation in chlorophyll fluorescence imaging with a synthetic dataset

in Technical Advances in Plant Science

• Natalia Sapoukhina
• Tristan Boureau
• David Rousseau

Using synthetic dataset for semantic segmentation of the human body in the problem of extracting anthropometric data

in Pattern Recognition

• Azat Absadyk
• Olzhas Turar
• Darkhan Akhmed-Zaki

Machine Learning Approach to Predict Positive Screening of Methicillin-Resistant Staphylococcus aureus During Mechanical Ventilation Using Synthetic Dataset From MIMIC-IV Database

in Intensive Care Medicine and Anesthesiology

• Yohei Hirano
• Keito Shinmoto
• Yohei Okada
• Kazuhiro Suga
• Jeffrey Bombard
• Shogo Murahata
• Manoj Shrestha
• Patrick Ocheja
• Aiko Tanaka

A computational pipeline to generate a synthetic dataset of metal ion sorption to oxides for AI/ML exploration

in Radioactive Waste Management

• Chunhui Li
• Piotr Zarzycki

Potential for High Fidelity Global Mapping of Common Inland Water Quality Products at High Spatial and Temporal Resolutions Based on a Synthetic Data and Machine Learning Approach

in Environmental Informatics and Remote Sensing

• Jeremy Kravitz
• Mark Matthews
• Lisl Lain
• Sarah Fawcett
• Stewart Bernard

Virtual Cohorts and Synthetic Data in Dementia: An Illustration of Their Potential to Advance Research

in Medicine and Public Health

• Graciela Muniz-Terrera
• Ofer Mendelevitch
• Rodrigo Barnes
• Michael D. Lesh

The morphodynamic response of a gravel barrier to unimodal and bimodal storm wave conditions

in Coastal Ocean Processes

• Kristian Ions
• Khan Ozdemir
• Douglas Pender
• D. E. Reeve
• Harshinie Karunarathna

Transfer learning for self-supervised, blind-spot seismic denoising

in Solid Earth Geophysics

• Claire Birnie
• Tariq Alkhalifah

Generating high-fidelity privacy-conscious synthetic patient data for causal effect estimation with multiple treatments

in Medicine and Public Health

• Jingpu Shi
• Dong Wang
• Gino Tesei
• Beau Norgeot

Analysis of Pairwise Interactions in a Maximum Likelihood Sense to Identify Leaders in a Group

in Robot Learning and Evolution

• Violet Mwaffo
• Sachit Butail
• Maurizio Porfiri

AI-driven generalized polynomial transformation models for unsupervised fundus image registration

in Ophthalmology

• Xu Chen
• Xiaochen Fan
• Yanda Meng
• Yalin Zheng

Finding the needle in the haystack—An interpretable sequential pattern mining method for classification problems

in Machine Learning and Artificial Intelligence

• Alexander Grote
• Anuja Hariharan
• Christof Weinhardt

Short Circuit Recognition for Metal Electrorefining Using an Improved Faster R-CNN With Synthetic Infrared Images

• Xin Li
• Yonggang Li
• Renchao Wu
• Can Zhou
• Hongqiu Zhu

Application of a conditional generative adversarial network to denoising solar observations

in Stellar and Solar Physics

• Md Mushfiqur Rahman
• Harry P. Warren

Denoising Diffusion Probabilistic Models and Transfer Learning for citrus disease diagnosis

in Technical Advances in Plant Science

• Yuchen Li
• Jianwen Guo
• Honghua Qiu
• Fengyi Chen
• Junqi Zhang

Bio-geo-optical modelling of natural waters

in Ocean Observation

• Shun Bi
• Martin Hieronymi
• Rüdiger Röttgers