Results 31 to 40 of about 142,938 (289)

About Evaluation of F1 Score for RECENT Relation Extraction System

, 2023
This document contains a discussion of the F1 score evaluation used in the article 'Relation Classification with Entity Type Restriction' by Shengfei Lyu, Huanhuan Chen published on Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021.
openaire   +2 more sources

Precision Health–Enabled Machine Learning to Identify Need for Wraparound Social Services Using Patient- and Population-Level Data Sets: Algorithm Development and Validation

JMIR Medical Informatics, 2020
BackgroundEmerging interest in precision health and the increasing availability of patient- and population-level data sets present considerable potential to enable analytical approaches to identify and mitigate the negative effects of social factors on ...
Kasthurirathne, Suranga N, Grannis, Shaun, Halverson, Paul K, Morea, Justin, Menachemi, Nir, Vest, Joshua R   +5 more
doaj   +1 more source

Machine-learning classification of astronomical sources: estimating F1-score in the absence of ground truth

Monthly Notices of the Royal Astronomical Society: Letters, 2022
ABSTRACT Machine-learning based classifiers have become indispensable in the field of astrophysics, allowing separation of astronomical sources into various classes, with computational efficiency suitable for application to the enormous data volumes that wide-area surveys now typically produce.
Humphrey, A., Kuberski, W., Bialek, J., Perrakis, N., Cools, W., Nuyttens, N., Elakhrass, H., Cunha, P. A. C.   +7 more
openaire   +2 more sources

Enhancing Vision-Based Vehicle Detection and Counting Systems with the Darknet Algorithm and CNN Model

JOIV: International Journal on Informatics Visualization
This study focuses on developing an algorithm that accurately calculates the volume of vehicles passing through a busy crossroads in Indonesia using object recognition.
Abdul Haris Rangkuti, Varyl Hasbi Athala
doaj   +1 more source

Modified Alexnet Architecture for Classification of Cassava Based on Leaf Images

JOIV: International Journal on Informatics Visualization
The objective of this study is to address the drawbacks of conventional classification approaches through the implementation of deep learning, specifically a modified AlexNet.
Miftahus Sholihin, Mohd Farhan Md Fudzee, Mohd Norasri Ismail, Efi Neo Wati, Mohamad Syafwan Arshad, Taufik Gusman   +5 more
doaj   +1 more source

Prediction of the Fundus Tessellation Severity With Machine Learning Methods

Frontiers in Medicine, 2022
PurposeTo predict the fundus tessellation (FT) severity with machine learning methods.MethodsA population-based cross-sectional study with 3,468 individuals (mean age of 64.6 ± 9.8 years) based on Beijing Eye Study 2011.
Lei Shao, Xiaomei Zhang, Teng Hu, Yang Chen, Chuan Zhang, Li Dong, Saiguang Ling, Zhou Dong, Wen Da Zhou, Rui Heng Zhang, Lei Qin, Wen Bin Wei   +11 more
doaj   +1 more source

Survival for Children Diagnosed With Wilms Tumour (2012–2022) Registered in the UK and Ireland Improving Population Outcomes for Renal Tumours of Childhood (IMPORT) Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The Improving Population Outcomes for Renal Tumours of childhood (IMPORT) is a prospective clinical observational study capturing detailed demographic and outcome data on children and young people diagnosed with renal tumours in the United Kingdom and the Republic of Ireland.
Naomi Ssenyonga, Angela Lopez‐Cortes, Reem Al‐Saadi, Suzanne Tugnait, Kristina Dzhuma, Catriona Duncan, Gordan Vujanic, Tanzina Chowdhury, Claudia Allemani, Michel P. Coleman, Kathy Pritchard‐Jones, the Children's Cancer and Leukaemia Group (CCLG) Renal Tumour Special Interest Group, Hugh Bishop, Anthony McCarthy, Pamela Kearns, Helen Rees, Amos Burke, Meriel Jenney, Jane Pears, Hamish Wallace, Milind Ronghe, Tanzina Chowdhury, Susan Picton, Emma Ross, Lisa Howell, Bernadette Brennan, Gail Halliday, Richard Grundy, Shaun Wilson, Sucheta Vaidya, Daniel Yeomanson, Jessica Bate, Vesna Pavasovic, Jessica Bate, Sabine Irtan, Jesper Brok, Minou Oostveen, Kristina Dzhuma, Mark Weeks, Richard Williams, Mark Powis, Max Pachl, Bruce Okoye, Naima Smeulders, Gordan Vujanic, Oystein Olsen, Tom Watson, Susan Shelmerdine, Dan Saunders, Angela Lopez-Cortes, Taryn Treger, Tom Jackson, Suzanne Tugnait, Lisa Howell, Tanzina Chowdhury, Sam Behjati, Angela Polanco   +56 more
wiley   +1 more source

Classification Accuracy of Linear Discriminant Function using Principal Components with Multiple Correlated Variables: A Simulation based Exploration

Medical Journal of Dr. D.Y. Patil Vidyapeeth
Background: Linear Discriminant Analysis (LDA) is a powerful and widely used technique for classification with correlated variables. Principal Components (PCs) group these variables into linear combinations and produce independent variables.
Akash Mishra, Sachit Ganapathy, Sreekumaran Nair, Durgesh Shukla, Ashish Kumar Yadav, Rajaat Vohra, Kuldeep Soni   +6 more
doaj   +1 more source

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser, Alice Bizeul, Meera Chitlur, Hugo Donato, Jelena Roganovic, Julia E. Vogt, Thomas Kühne   +6 more
wiley   +1 more source

Peptide‐based ligand antagonists block a Vibrio cholerae adhesin

FEBS Letters, EarlyView.
The structure of a peptide‐binding domain of the Vibrio cholerae adhesin FrhA was solved by X‐ray crystallography, revealing how the inhibitory peptide AGYTD binds tightly at its Ca2+‐coordinated pocket. Structure‐guided design incorporating D‐amino acids enhanced binding affinity, providing a foundation for developing anti‐adhesion therapeutics ...
Mingyu Wang, Grace Du, Charity Yongo‐Luwawa, Angelina Lu, Brett Kinrade, Kim Munro, Karl E. Klose, William D. Lubell, Peter Davies, Shuaiqi Guo   +9 more
wiley   +1 more source