Results 71 to 80 of about 646,240 (193)

Improving patient clustering by incorporating structured variable label relationships in similarity measures

BMC Medical Research Methodology
Background Patient stratification is the cornerstone of numerous health investigations, serving to enhance the estimation of treatment efficacy and facilitating patient matching.
Judith Lambert, Anne-Louise Leutenegger, Anaïs Baudot, Anne-Sophie Jannot   +3 more
doaj   +1 more source

Towards an Automated Essay Evaluation System NLP Based Text Embeddings and Similarity Metrics

Digital Zone: Jurnal Teknologi Informasi dan Komunikasi
This study aims to develop an automatic essay answer assessment system based on Natural Language Processing (NLP) to reduce the time and effort required for evaluation.
Regita Permata, Rendika, Luh Candra Julianty   +2 more
doaj   +1 more source

Cosine similarity measures of neutrosophic soft set

, 2016
In this paper we have introduced the concept of cosine similarity measures for neutrosophic soft set and interval valued neutrosophic soft set.An application is given to show its practicality and ...
Arockiarani, I., Sumathi, I. R.
core   +1 more source

Effects of similarity networks in graph-based multi-omics classification.

PLoS ONE
Accurate classification of disease subtypes is a fundamental requirement of precision medicine especially for complex and heterogeneous conditions such as breast cancer and Alzheimer's disease.
Masrafe Bin Hannan Siam, Md Rayhan Khan, Md Fazla Elahe, Md Shohel Arman, Swarna Akter   +4 more
doaj   +1 more source

Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks

CoRR, 2017
Traditionally, multi-layer neural networks use dot product between the output vector of previous layer and the incoming weight vector as the input to activation function. The result of dot product is unbounded, thus increases the risk of large variance. Large variance of neuron makes the model sensitive to the change of input distribution, thus results
Chunjie Luo, Jianfeng Zhan, Lei Wang 0004, Qiang Yang 0012   +3 more
openaire   +3 more sources

Appropriate Similarity Measures for Author Cocitation Analysis [PDF]

We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory ...
Waltman, L.R., Eck, N.J.P. van
core  

The cosine similarity values generated by Word2Vec for the word ‘gene’.

, 2018
The cosine similarity values generated by Word2Vec for the word ‘gene’.
Balu Bhasuran (5562725), Jeyakumar Natarajan (20914)   +1 more
core   +1 more source

Transformer Models for Paraphrase Detection: A Comprehensive Semantic Similarity Study

Computers
Semantic similarity, the task of determining whether two sentences convey the same meaning, is central to applications such as paraphrase detection, semantic search, and question answering.
Dianeliz Ortiz Martes, Evan Gunderson, Caitlin Neuman, Nezamoddin N. Kachouie   +3 more
doaj   +1 more source

On the cosine similarity and orthogonality between persistence diagrams

CoRR
Topological data analysis is an approach to study shape of a data set by means of topology. Its main object of study is the persistence diagram, which represents the topological features of the data set at different spatial resolutions. Multiple data sets can be compared by the similarity of their diagrams to understand their behaviors in relative to ...
Azmeer Nordin, Mohd Salmi Md Noorani, Nurulkamal Masseran, Mohd Sabri Ismail, Nur Firyal Roslan   +4 more
openaire   +3 more sources

Chembl antiviral ranked by cosine similarity to SARS-CoV-2 in KG-COVID-19 knowledge graph

, 2020
Chembl antiviral ranked by cosine similarity to SARS-CoV-2 in KG-COVID-19 knowledge ...
Reese, Justin
core   +1 more source