Frontiers

Soft Computing and Machine Learning Applications for Healthcare Systems

Soft Computing (SC) is an Artificial Intelligence (AI) approach that is more effective at solving real-life problems than traditional computing models. Soft Computing models are tolerant of partial ...
Beef Central

Better understanding of grazing distribution spells opportunity, says US researcher

Better understanding and managing grazing distribution in semi-arid cattle areas offered opportunity, a US speaker told this week's Northern Beef Research Update Conference in Brisbane...Read More ...
UroToday

Semi-supervised learning in prostate MRI tumor detection approaches fully supervised performance on external validation.

To evaluate the diagnostic performance of semi-supervised learning models for aggressive prostate cancer detection on MRI compared to fully supervised models trained with additional expert annotations ...
Frontiers

Federated semi-supervised learning based on feature alignment and knowledge distillation

Recently, federated learning has been successfully applied in fields related to cyber-physical-social systems (CPSSs), owing to its ability to harness decentralized clients for training a global model ...
IEEE

NodeBridge: Enhancing Semi-Supervised Learning on Graphs via Inter-node Learning

Graph Neural Networks (GNNs) have emerged as a dominant framework for semi-supervised learning on graph-structured data, achieving remarkable performance in tasks such as node classification through ...
GitHub

TRAPO: A Semi-Supervised Reinforcement Learning Framework for Boosting LLM Reasoning.

TraPO is a semi-supervised reinforcement learning framework that bridges unlabeled and labeled samples for training large reasoning models (LRMs). Built upon GRPO, TraPO leverages a small set of ...
IEEE

A Convex Formulation for Fast Semi-supervised Learning

Abstract: As a compromise between supervised and unsupervised learning, semi-supervised learning (SSL) harnesses both labeled and unlabeled data to enhance learning performance. Graph-based ...
GitHub

Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning

Yaxin Hou, Bo Han, Yuheng Jia, Hui Liu, Junhui Hou, Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning, Advances in Neural Information ...
Scientific Research Publishing

Perin, E. L. S., De Souza, M. C., De Andrade Silva, J., & Matsubara, E. T. (2025). DynGraph-BERT: Combining BERT and GNN Using Dynamic Graphs for Inductive Semi-Supervised Text ...

ABSTRACT: Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional methods of contract analytics are time-consuming and often inexact, ...