Results 221 to 230 of about 30,075 (285)

Review on enhancing clinical decision support system using machine learning

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood, Usman Naseem, Junaid Rashid, Jungeun Kim, Imran Razzak   +4 more
wiley   +1 more source

Role of homeostatic plasticity in critical brain dynamics following focal stroke lesions. [PDF]

Sci Rep
Rocha RP, Zorzi M, Corbetta M.
europepmc   +1 more source

Large Language Models With Contrastive Decoding Algorithm for Hallucination Mitigation in Low‐Resource Languages

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Neural machine translation (NMT) has advanced with deep learning and large‐scale multilingual models, yet translating low‐resource languages often lacks sufficient training data and leads to hallucinations. This often results in translated content that diverges significantly from the source text.
Zan Hongying, Arifa Javed, Muhammad Abdullah, Javed Rashid, Muhammad Faheem   +4 more
wiley   +1 more source

RNN‐Based Sequence‐Aware Recommenders for Tourist Attractions

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Selecting appropriate tourist attractions to visit in real time is an important problem for travellers. Since recommenders proactively suggest items based on user preference, they are a promising solution for this problem. Travellers visit tourist attractions sequentially by considering multiple attributes at the same time.
Hee Jun Lee, Yang Sok Kim, Won Seok Lee, In Hyeok Choi, Choong Kwon Lee   +4 more
wiley   +1 more source

A comprehensive review of computational cell cycle models in guiding cancer treatment strategies. [PDF]

NPJ Syst Biol Appl
Ma C, Gurkan-Cavusoglu E.
europepmc   +1 more source

Diverse Models, United Goal: A Comprehensive Survey of Ensemble Learning

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Ensemble learning, a pivotal branch of machine learning, amalgamates multiple base models to enhance the overarching performance of predictive models, capitalising on the diversity and collective wisdom of the ensemble to surpass individual models and mitigate overfitting.
Ziwei Fan, Zhiwen Yu, Kaixiang Yang, Wuxing Chen, Xiaoqing Liu, Guojie Li, Xianling Yang, C. L. Philip Chen   +7 more
wiley   +1 more source

Modeling the Arrows of Time with Causal Multibaker Maps. [PDF]

Entropy (Basel)
Ebtekar A, Hutter M.
europepmc   +1 more source

Two metrics for quantifying systematic errors in diffraction experiments: systematic errors in the variance of the observed intensities and agreement factor gap

Journal of Applied Crystallography, EarlyView.
The weighted agreement factor in small‐molecule crystallography is, for half of a sample (N = 314) of published data sets, so large that it cannot be explained by errors like unrecognized disorder or twinning. Instead, the standard uncertainties are most likely flawed in these cases.The increase in the weighted agreement factor due to systematic errors
Julian Henn
wiley   +1 more source

PhenoVision: A framework for automating and delivering research‐ready plant phenology data from field images

Methods in Ecology and Evolution, EarlyView.
Abstract Plant phenology plays a fundamental role in shaping ecosystems, and global change‐induced shifts in phenology have cascading impacts on species interactions and ecosystem structure and function. Detailed, high‐quality observations of when plants undergo seasonal transitions such as leaf‐out, flowering and fruiting are critical for tracking ...
Russell Dinnage, Erin Grady, Nevyn Neal, Jonn Deck, Ellen Denny, Ramona Walls, Carrie Seltzer, Robert Guralnick, Daijiang Li   +8 more
wiley   +1 more source