Results 251 to 260 of about 52,386 (322)

Brain Age in Adult Patients With Early-Treated Phenylketonuria. [PDF]

J Inherit Metab Dis
Winiger L, Muri R, Kaufmann T, Hochuli M, Vardy E, Radojewski P, Pospieszny K, Trepp R, Everts R.   +8 more
europepmc   +1 more source

Escape Intern Orientation! - A Capstone and Team Building Activity for New EM Interns. [PDF]

J Educ Teach Emerg Med
Rivera M, Thompson M.
europepmc   +1 more source

Challenges, care gaps, and coping mechanisms in patients with advanced cancer and their caregivers following palliative gastrointestinal surgery. [PDF]

Palliat Care Soc Pract
Zhong X, Fong WJ, Juan D, Cai M, Seo JCJ, Ong JC, Chia C, Wong JSM, Yoon S.   +8 more
europepmc   +1 more source

Fuzzy Bag-of-Words Model for Document Representation

IEEE Transactions on Fuzzy Systems, 2018
One key issue in text mining and natural language processing is how to effectively represent documents using numerical vectors. One classical model is the Bag-of-Words (BoW). In a BoW-based vector representation of a document, each element denotes the normalized number of occurrence of a basis term in the document.
Rui Zhao 0004, Kezhi Mao
semanticscholar   +4 more sources

BRINGING ORDER IN THE BAG OF WORDS

Proceedings of the International Conference on Computer Vision Theory and Applications, 2012
International audience ; This paper presents a method to infuse spatial information in the bag of words (BOW) framework for object categorization. The main idea is to account the local spatial distribution of the visual words. Rather than finding rigid local patterns, we consider the visual words in close spatial proximity as a pouch of words and we ...
Zhang, Shihong, Khan, Rahat, Muselet, Damien, Trémeau, A.   +3 more
openaire   +3 more sources

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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, Salvatore Tabbone   +2 more
exaly   +2 more sources

Bag-of-words representation for biomedical time series classification

Biomedical Signal Processing and Control, 2013
Bag-of-words representation for biomedical time series ...
Jin Wang, Saeid Nahavandi, Abbas Z Kouzani   +2 more
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