Results 11 to 20 of about 201,162 (313)

Confidence Intervals for the F1 Score: A Comparison of Four Methods

, 2023
31 pages, 3 ...
Lam, Kevin Fu Yuan, Gopal, Vikneswaran, Qian, Jiang   +2 more
openaire   +3 more sources

Un intruso de otro mundo: F1-score.

Revista Electrónica AnestesiaR
El F1-score, también llamado F-score o medida F, es un estimador de la capacidad de clasificación de una prueba que se usa con frecuencia en la ciencia de datos y en los algoritmos de inteligencia artificial y que puede ser de utilidad para la valoración de las pruebas diagnósticas.
Molina, Manuel
core   +4 more sources

Time to retire F1-binary score for action unit detection

Pattern Recognition Letters, 2023
Detecting action units is an important task in face analysis, especially in facial expression recognition. This is due, in part, to the idea that expressions can be decomposed into multiple action units. To evaluate systems that detect action units, F1-binary score is often used as the evaluation metric.
Saurabh Hinduja, Tara Nourivandi, Jeffrey F. Cohn, Shaun J. Canavan   +3 more
openaire   +2 more sources

Comparative analysis of models predicting the risks of early poor outcome of deceased-donor liver transplantation: a retrospective single-center study

Трансплантология (Москва), 2023
Rationale. The risk of early graft loss determines the specifics and plan of anesthesiological assistance, intensive therapy, and overall the feasibility of liver transplantation.
A. I. Sushkov, M. V. Popov, V. S. Rudakov, D. S. Svetlakova, A. N. Pashkov, A. S. Lukianchikova, M. Muktarzhan, K. K. Gubarev, V. E. Syutkin, A. I. Artemyev, S. E. Voskanyan   +10 more
doaj   +1 more source

Automated Classification of Atherosclerotic Radiomics Features in Coronary Computed Tomography Angiography (CCTA)

Diagnostics, 2022
Radiomics is the process of extracting useful quantitative features of high-dimensional data that allows for automated disease classification, including atherosclerotic disease.
Mardhiyati Mohd Yunus, Ahmad Khairuddin Mohamed Yusof, Muhd Zaidi Ab Rahman, Xue Jing Koh, Akmal Sabarudin, Puteri N. E. Nohuddin, Kwan Hoong Ng, Mohd Mustafa Awang Kechik, Muhammad Khalis Abdul Karim   +8 more
doaj   +1 more source

STUDY TIME CLASSIFICATION OF MATHEMATICS AND INFORMATION TECHNOLOGY DEPARTMENT OF KALIMANTAN INSTITUTE OF TECHNOLOGY USING NAÏVE BAYES ALGORITHM

Barekeng, 2023
Institut Teknologi Kalimantan (ITK) is one of the state universities in Indonesia which has 5 majors, one of them is the Department of Mathematics and Information Technology (JMTI).
Fatrysia Wikarya Sucipto, Ramadhan Paninggalih, Indira Anggriani   +2 more
doaj   +1 more source

F1-score (F1-score) of different models.

, 2022
F1-score (F1-score) of different models.
Uyen Le (2228929), Yihui Shi (3155583), Tuan Tran (322707)   +2 more
core   +1 more source

F1-score results for activity recognition models.

, 2022
Comparison of activity recognition model F1-score percentages for 50% and 90% sliding window overlaps across the four sliding window lengths (1, 5, 7.5, 10 seconds) for each work element (clear, delay, masticate, move, travel).
Robert F. Keefe (4760298), Ryer M. Becker (12360150)   +1 more
core   +1 more source

Automated Drone Detection Using YOLOv4

Drones, 2021
Drones are increasing in popularity and are reaching the public faster than ever before. Consequently, the chances of a drone being misused are multiplying.
Subroto Singha, Burchan Aydin
doaj   +1 more source

F1-score comparison of five boosting algorithms on test set.

, 2023
F1-score comparison of five boosting algorithms on test set.
Saurav Mallik (441729), Zhongming Zhao (40519), Pijush Kanti Dutta Pramanik (17537722), Shahid Mohammad Ganie (17537719)   +3 more
core   +1 more source