Articles

Hierarchical Machine Learning Model for Mechanical Property Predictions of Polyurethane Elastomers From Small Datasets

in Computational Materials Science

• Aditya Menon
• James A. Thompson-Colón
• Newell R. Washburn

Deep learning strategies for addressing issues with small datasets in 2D materials research: Microbial Corrosion

in Systems Microbiology

• Cody Allen
• Shiva Aryal
• Tuyen Do
• Rishav Gautum
• Md Mahmudul Hasan
• Bharat K. Jasthi
• Etienne Gnimpieba
• Venkataramana Gadhamshetty

Rapid screening of chemicals for their potential to cause specific toxidromes

in In silico Methods and Artificial Intelligence for Drug Discovery

• Ruifeng Liu
• Mohamed Diwan M. AbdulHameed
• Zhen Xu
• Benjamin Clancy
• Valmik Desai
• Anders Wallqvist

The Problem with Big Data: Operating on Smaller Datasets to Bridge the Implementation Gap

in Public Health Policy

• Richard P. Mann
• Faisal Mushtaq
• Alan D. White
• Gabriel Mata-Cervantes
• Tom Pike
• Dalton Coker
• Stuart Murdoch
• Tim Hiles
• Clare Smith
• David Berridge

The place of advanced machine learning techniques in building pancreatic adenocarcinoma survival and recurrence prognosis models

in Cancer Epidemiology and Prevention

• Mihaela-Flavia Avram
• Daniela-Cornelia Lazăr
• Mihaela-Ioana Mariş
• Alexandru-Ştefan Cucui-Cozma
• Marius-Sorin Murariu

More Real Than Ideal: Household and Community Diversity at Metapontum, South Italy

in Digital Archaeology

• Andrew H. F. Cabaniss

Deep learning strategy for small dataset from atomic force microscopy mechano-imaging on macrophages phenotypes

in Biomechanics

• Hao Wu
• Lei Zhang
• Banglei Zhao
• Wenjie Yang
• Massimiliano Galluzzi

A Practical Approach for Predicting Antimicrobial Phenotype Resistance in Staphylococcus aureus Through Machine Learning Analysis of Genome Data

in Antimicrobials, Resistance and Chemotherapy

• Shuyi Wang
• Chunjiang Zhao
• Yuyao Yin
• Fengning Chen
• Hongbin Chen
• Hui Wang

High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection

in Breast Cancer

• Lidia Garrucho
• Kaisar Kushibar
• Richard Osuala
• Oliver Diaz
• Alessandro Catanese
• Javier del Riego
• Maciej Bobowicz
• Fredrik Strand
• Laura Igual
• Karim Lekadir

Artificial intelligence role in advancement of human brain connectome studies

• Dorsa Shekouh
• Helia Sadat Kaboli
• Mohammadreza Ghaffarzadeh-Esfahani
• Mohammadmahdi Khayamdar
• Zeinab Hamedani
• Saeed Oraee-Yazdani
• Alireza Zali
• Elnaz Amanzadeh

A multi-threaded approach to genotype pattern mining for detecting digenic disease genes

in Statistical Genetics and Methodology

• Qingrun Zhang
• Muskan Bhatia
• Taesung Park
• Jurg Ott

Improving classification results on a small medical dataset using a GAN; An outlook for dealing with rare disease datasets

in Computer Vision

• Julia Röglin
• Katharina Ziegeler
• Jana Kube
• Franziska König
• Kay-Geert Hermann
• Steffen Ortmann

Research on adverse event classification algorithm of da Vinci surgical robot based on Bert-BiLSTM model

• Tianchun Li
• Wanting Zhu
• Wenke Xia
• Li Wang
• Weiqi Li
• Peiming Zhang

Comparative Study of Repertoire Classification Methods Reveals Data Efficiency of k-mer Feature Extraction

in T Cell Biology

• Yotaro Katayama
• Tetsuya J. Kobayashi

GAN-based semi-automated augmentation online tool for agricultural pest detection: A case study on whiteflies

in Technical Advances in Plant Science

• Christophe Karam
• Mariette Awad
• Yusuf Abou Jawdah
• Nour Ezzeddine
• Aya Fardoun

ENet-CAEM: a field strawberry disease identification model based on improved EfficientNetB0 and multiscale attention mechanism

in Sustainable and Intelligent Phytoprotection

• Jiajiao Chang
• Honghui Li
• Xueliang Fu
• Yuanyuan Jiao