Results 231 to 240 of about 55,142 (282)

The Value of Forecasters‐in‐the‐Loop in Real‐Time Flood Forecasting in the Age of Machine Learning

Geophysical Research Letters, Volume 53, Issue 8, 28 April 2026.
Abstract Machine learning (ML) applications in hydrological forecasting are increasingly prevalent and show great potential. However, many previous studies have only evaluated performance through reanalysis or retrospective simulations compared to simplified baselines.
Vinh Ngoc Tran, Donghui Xu, Phong Le, Jongho Kim, Tam Van Nguyen, Giang Tien Nguyen, Pedro J. Restrepo, Valeriy Y. Ivanov   +7 more
wiley   +1 more source

ORCH: many analyses, one merge-a deterministic multi-agent orchestrator for discrete-choice reasoning with EMA-guided routing. [PDF]

Front Artif Intell
Zhou H, Chan HY.
europepmc   +1 more source

Investigating the Utility of Explainable Artificial Intelligence for Neuroimaging-Based Dementia Diagnosis and Prognosis. [PDF]

Hum Brain Mapp
Martin SA, Zhao A, Qu J, Imms P, Irimia A, Barkhof F, Cole JH, Alzheimer's Disease Neuroimaging Initiative.   +7 more
europepmc   +1 more source

Explainable artificial intelligence in pancreatic cancer prediction: from transparency to clinical decision-making. [PDF]

Front Oncol
Alharbi W, Alfayez AA.
europepmc   +1 more source

Explainable deep learning framework incorporating medical knowledge for insulin titration in diabetes. [PDF]

Commun Med (Lond)
He H, Ying Z, Li B, Fan Y, Wang P, Lu J, Wu L, Zhao H, Guo Y, Wang G, Yuan Y, Chen Y, Li X.   +12 more
europepmc   +1 more source

Explainable artificial intelligence for molecular design in pharmaceutical research. [PDF]

Chem Sci
Lamens A, Bajorath J.
europepmc   +1 more source

A Cross-Domain Benchmark of Intrinsic and Post Hoc Explainability for 3D Deep Learning Models. [PDF]

J Imaging
Chakraborty A, Karagoz G, Meratnia N.
europepmc   +1 more source

Research trends and ethical perspectives on explainable artificial intelligence in emergency medicine: a bibliometric analysis. [PDF]

Scand J Trauma Resusc Emerg Med
Fındık M.
europepmc   +1 more source

A comprehensive evaluation of lightweight deep learning models for tomato disease classification on edge computing environments. [PDF]

Sci Rep
Hoang TM, Bui VH, Nguyen VS, Doan DT, Dang HA, Pham AT.   +5 more
europepmc   +1 more source

Why we do need explainable AI for healthcare. [PDF]

Diagn Progn Res
Cinà G, Röber TE, Goedhart R, Birbil Şİ.   +3 more
europepmc   +1 more source