Results 141 to 150 of about 318,360 (330)

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning [PDF]

, 2019
Minlong Peng, Xiaoyu Xing, Qi Zhang, Jinlan Fu, Xuanjing Huang   +4 more
openalex   +1 more source

Intelligent Supportive System for People with Profound Intellectual and Multiple Disabilities

Advanced Intelligent Systems, EarlyView.
A holistic INSENSION system is developed—a novel intelligent decision support system leveraging state‐of‐the‐art noninvasive audio‐visual sensor technologies together with machine learning algorithms and expert knowledge, to detect and interpret behaviors and communications (nonverbal signals—NVSs) of people with PIMD in challenging real‐world ...
Gašper Slapničar, Michał Kosiedowski, Arkadiusz Radziuk, Erik Dovgan, Torsten Hammann, Meike Engelhardt, Christin Kupitz, Carmen Campomanes‐Alvarez, Dorota Janczewska, Peter Zentel, Mitja Luštrek   +10 more
wiley   +1 more source

Named Entity Recognition [PDF]

, 2013
openaire   +2 more sources

DANSK: Domain Generalization of Danish Named Entity Recognition

Northern European Journal of Language Technology
Named entity recognition is an important application within Danish NLP, essential within both industry and research. However, Danish NER is inhibited by a lack coverage across domains and entity types.
Kenneth Enevoldsen, Emil Trenckner Jessen, Rebekah Baglini   +2 more
doaj   +1 more source

Parallel Multimodal Language Model: Enhanced Breast Nodule Diagnosis through Parallel Multimodal Representations and Large Language Models

Advanced Intelligent Systems, EarlyView.
This study introduces the Parallel Multimodal Language Model (PMLM), a multimodal diagnostic framework that integrates medical images and textual data to enhance early breast cancer detection. By addressing the limitations of text‐only large language models, PMLM significantly improves diagnostic performance.
Dashun Zheng, Patrick Cheong‐Iao Pang, Ping He, Yue Sun, Hongju Yan, Xiangyu Xiong, Ligang Cui, Tao Tan, Lingyun Bao   +8 more
wiley   +1 more source

A BERT-Span Model for Named Entity Recognition in Rehabilitation Medicine [PDF]

, 2023
Jinhong Zhong, Zhanxiang Xuan, Kang Wang, Zhou Cheng   +3 more
openalex   +1 more source

Spikoder: Dual‐Mode Graphene Neuron Circuit for Hardware Intelligence

Advanced Intelligent Systems, EarlyView.
Spikoder, a graphene leaky integrate‐and‐fire circuit that operates as an encoder and a neuron in a spiking neural network (SNN), is introduced. A Spikoder‐driven double‐layer SNN shows an accuracy of 97.37% for the classification of the Modified National Institute of Standards and Technology dataset, demonstrating its potential as a key building block
Kannan Udaya Mohanan, Seyed Mehdi Sattari‐Esfahlan, Eou‐Sik Cho, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

Based on BERT-wwm for Agricultural Named Entity Recognition

Agronomy
With the continuous advancement of information technology in the agricultural field, a large amount of unstructured agricultural textual information has been generated.
Qiang Huang, Youzhi Tao, Zongyuan Wu, Francesco Marinello   +3 more
doaj   +1 more source

Leveraging distant supervision for improved named entity recognition

, 2020
Abbas Ghaddar
openalex   +2 more sources