New AI uncovers hidden patterns in biomedical knowledge graphs

A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data ...
Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
IEEE

A Point Cloud Classification Model Based on Dynamic Graph Attention Convolution and Multi-Feature Fusion

Abstract: To address the difficulty of distinguishing different local features in point cloud classification tasks using traditional convolution algorithms, this paper proposes a point cloud ...
GitHub

torch.compile generated wrong graph when tracing torch.use_deterministic_algorithms

import torch @torch.compile(backend="inductor") def fn(src, index, base_tensor): src = src + 10 torch.use_deterministic_algorithms(True) base_tensor.scatter_(0, index ...
IEEE

FG-SAT: Efficient Flow Graph for Encrypted Traffic Classification Under Environment Shifts

Abstract: Encrypted traffic classification plays a critical role in network security and management. Currently, mining deep patterns from side-channel contents and plaintext fields through neural ...
Scientific Research Publishing

Sen, P.C., Hajra, M. and Ghosh, M. (2019) Supervised Classification Algorithms in Machine Learning: A Survey and Review. In: Mandal, J.K. and Bhattacharya, D., Eds., Emerging ...

ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...
Frontiers

Graph-based analysis of histopathological images for lung cancer classification using GLCM features and enhanced graph

1 Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China 2 Faculty of Life Science and Technology, Kunming University of Science and Technology ...
Scientific Research Publishing

Lessmann, S., et al. (2015) Benchmarking State-of-the-Art Classification Algorithms for Credit Scoring. Journal of the Operational Research Society, 66, 743-755.

ABSTRACT: This paper presents a comprehensive machine learning approach for credit score classification, addressing key challenges in financial risk assessment. We propose an optimized CatBoost-based ...