Results 121 to 130 of about 4,624,323 (348)
When Biology Meets Medicine: A Perspective on Foundation Models
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 +3 more
wiley +1 more source
RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System [PDF]
Haoyang Wen +25 more
openalex +1 more source
Human‐Machine Mutual Trust Based Shared Control Framework for Intelligent Vehicles
This work introduces a bidirectional‐trust‐driven shared control framework for human‐machine co‐driving. The method models human‐to‐machine trust from intention discrepancies and Bayesian skill assessment, and machine‐to‐human trust from integrated ability evaluation.
Zhishuai Yin +4 more
wiley +1 more source
Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language [PDF]
Qianhui Wu +4 more
openalex +1 more source
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source
Named Entity Recognition (NER) in Japanese is a challenging task due to data scarcity, limited cross-lingual transfer capabilities, and fuzzy entity boundaries, especially in low-resource environments.
Demei Zhu +3 more
doaj +1 more source
Cross-lingual AMR Aligner: Paying Attention to Cross-Attention [PDF]
Abelardo Carlos Martínez Lorenzo +2 more
openalex +1 more source
Cross-Lingual Sentiment Quantification
We discuss Cross-Lingual Text Quantification (CLTQ), the task of performing text quantification (i.e., estimating the relative frequency pc(D) of all classes c?C in a set D of unlabelled documents) when training documents are available for a source language S but not for the target language T for which quantification needs to be performed.
Esuli A. +2 more
openaire +1 more source
Lost in aggregation? On the importance of local food price data for food poverty estimates
Abstract This paper explores within‐country variations in food price dynamics and food poverty estimates by employing local market price data and national consumer price index (CPI) data. Our results show that national CPI data may be useful for approximating national trends but they fail to detect and identify spatial variations in local trends, which
Stephan Dietrich +4 more
wiley +1 more source
Abstract Despite the heightened mental health challenges amid rising Anti‐Asian sentiment, Asian Americans have significantly underutilized mental health services, a trend that persisted even before the COVID‐19 pandemic. Although considerable efforts have been made to understand how various factors are related to mental health service use in this ...
Michael Park +6 more
wiley +1 more source

