Articles

Machine learning enhances prediction of plants as potential sources of antimalarials

in Plant Metabolism and Chemodiversity

• Adam Richard-Bollans
• Conal Aitken
• Alexandre Antonelli
• Cássia Bitencourt
• David Goyder
• Eve Lucas
• Ian Ondo
• Oscar A. Pérez-Escobar
• Samuel Pironon
• James E. Richardson

BPAGS: a web application for bacteriocin prediction via feature evaluation using alternating decision tree, genetic algorithm, and linear support vector classifier

in Drug Discovery in Bioinformatics

• Suraiya Akhter
• John H. Miller

Classical and machine learning tools for identifying yellow-seeded Brassica napus by fusion of hyperspectral features

in Genomics of Plants and the Phytoecosystem

• Fan Liu
• Fang Wang
• Zaiqi Zhang
• Liang Cao
• Jinran Wu
• You-Gan Wang

Non-contact human identification through radar signals using convolutional neural networks across multiple physiological scenarios

in Health Informatics

• Daniel Foronda-Pascual
• Carmen Camara
• Pedro Peris-Lopez

Wave Intensity Analysis Combined With Machine Learning can Detect Impaired Stroke Volume in Simulations of Heart Failure

in Biomechanics

• Ryan M. Reavette
• Spencer J. Sherwin
• Meng-Xing Tang
• Peter D. Weinberg

Validation of depression determinants in caregivers of dementia patients with machine learning algorithms and statistical model

in Geriatric Medicine

• Kangrim Cho
• Junggu Choi
• Sanghoon Han

CAMDA 2023: Finding patterns in urban microbiomes

in Computational Genomics

• Haydeé Contreras-Peruyero
• Imanol Nuñez
• Mirna Vazquez-Rosas-Landa
• Daniel Santana-Quinteros
• Antón Pashkov
• Mario E. Carranza-Barragán
• Rafael Perez-Estrada
• Shaday Guerrero-Flores
• Eugenio Balanzario
• Víctor Muñiz Sánchez

Tangent space alignment: Transfer learning for Brain-Computer Interface

in Brain-Computer Interfaces

• Alexandre Bleuzé
• Jérémie Mattout
• Marco Congedo

A Temporal Neural Trace of Wavelet Coefficients in Human Object Vision: An MEG Study

• Elaheh Hatamimajoumerd
• Alireza Talebpour

Multiparametric Microstructural MRI and Machine Learning Classification Yields High Diagnostic Accuracy in Amyotrophic Lateral Sclerosis: Proof of Concept

in Applied Neuroimaging

• Thomas D. Kocar
• Anna Behler
• Albert C. Ludolph
• Hans-Peter Müller
• Jan Kassubek

A retrospective analysis based on multiple machine learning models to predict lymph node metastasis in early gastric cancer

in Gastrointestinal Cancers: Gastric and Esophageal Cancers

• Tao Yang
• Javier Martinez-Useros
• JingWen Liu
• Isaias Alarcón
• Chao Li
• WeiYao Li
• Yuanxun Xiao
• Xiang Ji
• YanDong Zhao
• Lei Wang

HCA-DBN: A Hill Climbing Optimized Deep Belief Network for Crop Yield Classification Based on Kernel Weight Threshold

in AI in Food, Agriculture and Water

• Prakash Sandhya
• B Venkataramana

A Machine Learning Approach to Personalize Computerized Cognitive Training Interventions

in AI for Human Learning and Behavior Change

• Melina Vladisauskas
• Laouen M. L. Belloli
• Diego Fernández Slezak
• Andrea P. Goldin

Outdoor Plant Segmentation With Deep Learning for High-Throughput Field Phenotyping on a Diverse Wheat Dataset

in Technical Advances in Plant Science

• Radek Zenkl
• Radu Timofte
• Norbert Kirchgessner
• Lukas Roth
• Andreas Hund
• Luc Van Gool
• Achim Walter
• Helge Aasen

Prediction of intraoperative red blood cell transfusion in valve replacement surgery: machine learning algorithm development based on non-anemic cohort

in Cardiovascular Surgery

• Ren Zhou
• Zhaolong Li
• Jian Liu
• Dewei Qian
• Xiangdong Meng
• Lichun Guan
• Xinxin Sun
• Haiqing Li
• Min Yu

Under the background of the new global definition of ARDS: an interpretable machine learning approach for predicting 28-day ICU mortality in patients with sepsis complicated by ARDS

in Respiratory Physiology and Pathophysiology

• Peijie Zhang
• Shuo Yuan
• Shuzhan Zhang
• Zhiheng Yuan
• Zi Ye
• Lanxin Lv
• Hongning Yang
• Hui Peng
• Haiquan Li
• Ningjun Zhao