Mapping cell development with mathematics-informed machine learning

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
InfoWorld

16 open source projects transforming AI and machine learning

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
The Brighterside of News on MSNOpinion

Machine-learning analysis reclassifies armed conflicts into three new archetypes

There is often no straightforward explanation for the various types of violence that occur around the world. In fact, even ...

Data-driven analysis reveals three archetypes of armed conflicts

The language used to describe conflicts naturally reflects assumptions about how different forms of violence emerge and ...
Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
Scientific Research Publishing

Performance of Different Machine Learning Algorithms for Credit Risk Classification ()

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...
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

Metaphors as Semantic Anchors: A Label-Constrained Contrastive Learning Approach for Chinese Text Classification

Abstract: Due to cultural influences and the long history of language evolution, metaphorical expressions are pervasive in Chinese texts, particularly in ironical comments, poetry, and various ...
IEEE

MGL-FBLS: Multi-Granularity Label-Driven Feature Enhanced Broad Learning System for Semi-Supervised Classification

Abstract: The Broad Learning System (BLS) performs well in semi-supervised scenarios across many datasets, but its effectiveness is often limited by inadequate feature extraction and inefficient label ...