Feb 3 (Reuters) - Ukraine has agreed with Western partners that any persistent Russian violations of a future ceasefire agreement would trigger a co-ordinated military response from Europe and the U.S ...

Electronic medical records (EMRs) enable healthcare institutions to digitally document patients’ clinical conditions, treatment processes, and diagnostic outcomes, supporting paperless clinical ...

State Key Laboratory of Soil Pollution Control and Safety, and Women’s Hospital, School of Medicine, Zhejiang University, Hangzhou 310058, China ...

Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language generation.

NeuralClassifier is designed for quick implementation of neural models for hierarchical multi-label classification task, which is more challenging and common in real-world scenarios. A salient feature ...

I tried applying label smoothing to my multi-label classification problem—given that my dataset is noisy and unbalanced, I thought it might help—but I ran into issue #40258 ...

Active learning for multi-label classification addresses the challenge of labelling data in situations where each instance may belong to several overlapping categories. This paradigm aims to enhance ...

Lyon retain Europa League place at Palace's expense UEFA rules clubs breached multi-club ownership as of March 1 Nottingham Forest in line for Europa League spot July 11 (Reuters) - Premier League ...

Colorectal cancer is the third most common cancer worldwide, and accurate pathological diagnosis is crucial for clinical intervention and prognosis assessment. Although deep learning has shown promise ...

Augmenting clinician workflow to enable delivery of guideline concordant cancer care with an LLM-based system. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does ...