Results 241 to 250 of about 80,037 (309)

NeuroConText: Contrastive learning for neuroscience meta-analysis with rich text representation. [PDF]

Imaging Neurosci (Camb)
Ghayem F, Meudec R, Dockès J, Thirion B, Wassermann D.   +4 more
europepmc   +1 more source

A software pipeline for systematizing machine learning of speech data. [PDF]

Front Psychiatry
Celeste J, Tasnim M, Valdés Cuervo AJ, de la Cal EA, Stroulia E.   +4 more
europepmc   +1 more source

Detecting Redundant Health Survey Questions by Using Language-Agnostic Bidirectional Encoder Representations From Transformers Sentence Embedding: Algorithm Development Study.

JMIR Med Inform
Kang S, Park H, Taira R, Kim H.
europepmc   +1 more source

A computational validation for the health concept maturity levels questionnaire. [PDF]

Front Psychol
Trognon A, Habibi I, Altakroury H, Mahdar-Recorbet L, Poli A, Servais D, Lambert J, Béjean M, Abraham D.   +8 more
europepmc   +1 more source

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Graph-based bag-of-words for classification

Pattern Recognition, 2018
Abstract This paper introduces the Bag of Graphs (BoG), a Bag-of-Words model that encodes in graphs the local structures of a digital object. We present a formal definition, introducing concepts and rules that make this model flexible and adaptable for different applications. We define two BoG-based methods – Bag of Singleton Graphs (BoSG) and Bag of
Rafael De O Werneck, Siome Goldenstein
exaly   +3 more sources

Contextual Bag-of-Words for Visual Categorization

IEEE Transactions on Circuits and Systems for Video Technology, 2011
Bag-of-words (BOW), which represents an image by the histogram of local patches on the basis of a visual vocabulary, has attracted intensive attention in visual categorization due to its good performance and flexibility. Conventional BOW neglects the contextual relations between local patches due to its Naive Bayesian assumption.
Teng Li
exaly   +2 more sources

Sentiment Classification: Review of Text Vectorization Methods: Bag of Words, Tf-Idf, Word2vec and Doc2vec

SLU Journal of Science and Technology, 2022
In Sentiment Analysis, there are three (3) approaches namely, machine learning, lexicon-based and ruled based approaches. This study investigates on machine learning approaches which involves text vectorization or word embedding- an essential step in ...
Haisal Dauda Abubakar, M. Umar
semanticscholar   +1 more source

Resume Classification using Elite Bag-of-Words Approach

2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT), 2023
As technology is advancing day by day, new trends are booming up, like automation, where traditional libraries are being automated to digital libraries.
Muskan Sharma, Gargi Choudhary, Seba Susan   +2 more
semanticscholar   +1 more source

Understanding bag-of-words model: a statistical framework

International Journal of Machine Learning and Cybernetics, 2010
Rong Jin
exaly   +2 more sources

Neurophysiological biomarkers for depression classification: Utilizing microstate k-mers and a bag-of-words model.

Journal of Psychiatric Research, 2023
Microstates are analogous to characters in a language, and short fragments consisting of several microstates (k-mers) are analogous to words.
Dongdong Zhou, Xin-yu Peng, Lin Zhao, Ling-Li Ma, Jin-hui Hu, Zhengqian Jiang, Xiaonan He, Wo Wang, Ran Chen, L. Kuang   +9 more
semanticscholar   +1 more source