Results 201 to 210 of about 72,487 (305)

UNIBA-CORE: Combining Strategies for Semantic Textual Similarity.

, 2013
This paper describes the UNIBA participation in the Semantic Textual Similarity (STS) core task 2013. We exploited three different systems for computing the similarity between two texts.
CAPUTO, ANNALINA, SEMERARO, Giovanni, BASILE, PIERPAOLO   +2 more
core  

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

Constructing a norm for children's scientific drawing: Distribution features based on semantic similarity of large language models. [PDF]

Biol Methods Protoc
Zhang Y, Wei F, Li J, Wang Y, Yu Y, Chen J, Cai Z, Liu X, Wang W, Yao S, Wang P, Wang Z.   +11 more
europepmc   +1 more source

Picture semantic similarity search based on bipartite network of picture-tag type. [PDF]

PLoS One, 2021
Zhang M, Yang L, Dong Y, Wang J, Zhang Q.   +4 more
europepmc   +1 more source

Semantic spaces revisited: investigating the performance of auto-annotation and semantic retrieval using semantic spaces

, 2008
Semantic spaces encode similarity relationships between objects as a function of position in a mathematical space. This paper discusses three different formulations for building semantic spaces which allow the automatic-annotation and semantic retrieval ...
Lewis, Paul, Nixon, Mark, Samangooei, Sina, Hare, Jonathan   +3 more
core  

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

A direct replication and extension of Popp and Serra (2016, experiment 1): better free recall and worse cued recall of animal names than object names, accounting for semantic similarity. [PDF]

Front Psychol, 2023
Mah EY, Grannon KEL, Campbell A, Tamburri N, Jamieson RK, Lindsay DS.   +5 more
europepmc   +1 more source

Uncertainty‐Guided Selective Adaptation Enables Cross‐Platform Predictive Fluorescence Microscopy

Advanced Intelligent Discovery, EarlyView.
Deep learning models often fail when transferred to new microscopes. A novel framework overcomes this by selectively adapting the early layers governing low‐level image statistics, while freezing deep layers that encode morphology. This uncertainty‐guided approach enables robust, label‐free virtual staining across diverse systems, democratizing ...
Kai‐Wen K. Yang, Andrew Bai, Alexandra Bermudez, Yunqi Hong, Zoe Latham, Iris Sloan, Michael Liu, Vishrut Goyal, Cho‐Jui Hsieh, Neil Y. C. Lin   +9 more
wiley   +1 more source

Robust multi-source geographic entities matching by maximizing geometric and semantic similarity. [PDF]

Sci Rep
Yan Y, Wu P, Yin Y, Guo P.
europepmc   +1 more source

Phonological and semantic similarity of misperceived words in babble: Effects of sentence context, age, and hearing loss. [PDF]

J Acoust Soc Am, 2022
Vickery B, Fogerty D, Dubno JR.
europepmc   +1 more source