Journal of Medical Internet Research

Supervised Machine Learning Models for Predicting Sepsis-Associated Liver Injury in Patients With Sepsis: Development and Validation Study Based on a Multicenter Cohort Study

Objective: This study aims to develop an explainable machine learning model, incorporating stacking techniques, to predict the occurrence of liver injury in patients with sepsis and provide decision ...
GitHub

Python code to run Supervised Molecular Dynamics (SuMD) simulations

Sabbadin, D.; Moro, S. Supervised Molecular Dynamics (SuMD) as a Helpful Tool to Depict GPCR-Ligand Recognition Pathway in a Nanosecond Time Scale. J. Chem. Inf ...
IEEE

GeoMM-SSL: Integrating Geospatial Object Relations in Multimodal Self-Supervised Learning for Semantic Segmentation of Remote Sensing Images

Abstract: Self-supervised learning (SSL) has emerged as a promising approach for pretraining tasks by learning latent task-agnostic representations without labels. Currently, the pretrained SSL models ...
GitHub

Configure Panorama Address Objects

A CLI tool that creates IP-netmask address objects on Palo Alto Networks Panorama using the pan-os-python SDK. Address objects are defined in YAML configuration files organized by device group, ...
IEEE

Self-Supervised Learning for SAR Target Recognition with Multi-Task Pretext Training

Abstract: The scarcity of labeled data and the difference between synthetic and measured imagery impose major obstacles during Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR). This ...