NewsHive
CONTACT USANALYST PORTAL →
aiBACKGROUND

Uncertainty-Aware and Explainable Ensemble Deep Learning Framework for Multi-Cla

BACKGROUND
1 SIGNALFIRST DETECTED 14 August 2026
Narrative synthesis pending — 1 signal collected.
How the story developed
14 Aug
Other feeds and industry voices
10 Sept
Reliability-Aware Hybrid-K Ensemble Selection for Cervical Cytology Classification: Integrating Discrimination, Calibration, and Selective Prediction

arXiv:2609.09189v1 Announce Type: cross Abstract: High classification accuracy alone is insufficient for clinical image analysis, where calibrated confidence and reliable

REPORT · WHERE · ArXiv CS.AIOPEN STORY
25 Aug
Robust Lightweight Deep Learning Models for Oral Cancer Screening

arXiv:2608.21583v1 Announce Type: new Abstract: Oral cancer is a leading cause of mortality in low-to-middle-income countries, where a shortage of specialists delays diagnosis.

REPORT · WHERE · ArXiv CS.AIOPEN STORY
14 May
An Agentic LLM-Based Framework for Population-Scale Mental Health Screening

arXiv:2605.13046v1 Announce Type: new Abstract: Mental health disorders affect millions worldwide, and healthcare systems are increasingly overwhelmed by the volume of clinical

REPORT · WHAT · ArXiv CS.AIOPEN STORY
31 Mar
Concerning Uncertainty -- A Systematic Survey of Uncertainty-Aware XAI

arXiv:2603.26838v1 Announce Type: new Abstract: This paper surveys uncertainty-aware explainable artificial intelligence (UAXAI), examining how uncertainty is incorporated into

REPORT · HOW · ArXiv CS.AIOPEN STORY
14 Apr
DERM-3R: A Resource-Efficient Multimodal Agents Framework for Dermatologic Diagnosis and Treatment in Real-World Clinical Settings

arXiv:2604.09596v1 Announce Type: new Abstract: Dermatologic diseases impose a large and growing global burden, affecting billions and substantially reducing quality of life.

REPORT · WHAT · ArXiv CS.AIOPEN STORY
Sources
ArXiv CS.AI

NewsHive monitors these sources continuously. All signal titles above link to the original reporting.

Intelligence by NewsHive. Need help navigating what this means for your business? Contact GeekyBee →