Cai Cai's Machine Learning Sklearn Class: Understandable from Scratch, from Model Invocation to Practical Implementation

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...
EMBO Press

A call for a unified and multimodal definition of cellular identity in the enteric nervous system

The enteric nervous system (ENS), the largest division of autonomic nervous system, is a tantalizing frontier in neuroscience. With the advent of single-cell transcriptomics, the ENS has been ...
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

Nine machine learning models—decision tree, random forest (RF), extreme gradient boosting (XGBoost), light gradient boosting machine (LightGBM), support vector machine, elastic net, logistic ...
IEEE

Machine Learning Framework for Industrial Machine Sound Classification in Predictive Maintenance

Abstract: Predictive maintenance, utilising anomalous sound classification, demonstrates a strong potential to identify mechanical faults in industrial machinery. This research proposes a machine ...
eLife

Multimodal MRI Marker of Cognition Explains the Association Between Cognition and Mental Health in UK Biobank

We present an integrated approach to derive multimodal MRI markers of cognition that can be transdiagnostically linked to psychopathology. This demonstrates that the predictive ability of neural ...
IEEE

Dark Patterns Detection and Classification Using Machine Learning Techniques

Abstract: UX design shapes the interaction with a digital platform. Most practices., while attempting to increase user satisfaction., can actually deceive users using so-called dark patterns in order ...
GitHub

Brain Tumor MRI Classification

This project implements advanced machine learning approaches for brain tumor classification using MRI images from the PMRAM Bangladeshi Brain Cancer MRI Dataset. The project includes two comprehensive ...
GitHub

Cerno : Agentic Deep Research

Clone and set up .env using the example .env.example. Encrypted Secrets: API keys and sensitive data encrypted at rest. Audit Logs: Full history of agent actions and ...
Nature

Machine-learning model generates images using light

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...
Frontiers

CEACAM6 as a machine learning derived immune biomarker for predicting neoadjuvant chemotherapy response in HR+/HER2− breast cancer

Background: Hormone receptor-positive/human epidermal growth factor receptor 2-negative (HR+/HER2−) breast cancer is the most common subtype, characterized by heterogeneous neoadjuvant chemotherapy ...
The Lancet

Machine learning-based phenotyping and assessment of treatment responses in heart failure with preserved ejection fraction

aDepartment of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, Peking University, Beijing, China bState Key Laboratory of Vascular Homeostasis and Remodeling, Peking ...
The Verge

Google is building a Duolingo rival into the Translate app

The app can now translate your conversations in real time, too. The app can now translate your conversations in real time, too.