eLife

Fast evolutionary turnover and overlapping variances of sex-biased gene expression patterns defy a simple binary sex classification of somatic tissues

Sex-biased gene expression in the body organs evolves rapidly, supporting a mosaic model of maleness and femaleness across tissues and thus challenging binary views of sex characteristics in mammals.
Frontiers

Comparative analysis of machine learning techniques on the BraTS dataset for brain tumor classification

1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...
IEEE

JailbreakTracer: Explainable Detection of Jailbreaking Prompts in LLMs Using Synthetic Data Generation

Abstract: The emergence of Large Language Models (LLMs) has revolutionized natural language processing (NLP), enabling remarkable advancements across various applications. However, these models remain ...
GitHub

Customize dataset format. #23

Hello. Firstly, thank you for your wonderful work. I want to replicate your work on the Visdrone2019-MOT dataset, but I don't know how to organize the dataset format. Based on your previous answer, I ...
IEEE

Bio-Inspired Fine-Tuning for Selective Transfer Learning in Image Classification

Abstract: Deep learning has significantly advanced image analysis across diverse domains but often depends on large, annotated datasets for success. Transfer learning addresses this challenge by ...
GitHub

Fine-grained Hierarchical Crop Type Classification from Integrated Hyperspectral EnMAP Data and Multispectral Sentinel-2 Time Series: A Large-scale Dataset and Dual-stream ...

This repository is the code implementation of the paper Fine-grained Hierarchical Crop Type Classification from Integrated Hyperspectral EnMAP Data and Multispectral Sentinel-2 Time Series: A ...