Zobrazeno 1 - 10
of 662
pro vyhledávání: '"ordinal classification"'
Publikováno v:
Machine Learning with Applications, Vol 17, Iss , Pp 100569- (2024)
Intense tropical cyclones (TCs) cause significant damage to human societies. Forecasting the multiple stages of TC intensity changes is considerably crucial yet challenging. This difficulty arises due to imbalanced data distribution and the need for
Externí odkaz:
https://doaj.org/article/96ef02108c6e4b88a5aa66405eadb287
Publikováno v:
Journal of Computer Applications in Archaeology, Vol 7, Iss 1, Pp 185–194-185–194 (2024)
Automated age estimation of archaeological artifacts is crucial for categorization and dating, yet challenging due to variations in characteristics, degradation, and limited chronological information. This study investigates the performance of Convol
Externí odkaz:
https://doaj.org/article/69e69a403ee244a59e995b9b9183a6a2
Autor:
Alejandro Morales-Martín, Francisco-Javier Mesas-Carrascosa, Pedro Antonio Gutiérrez, Fernando-Juan Pérez-Porras, Víctor Manuel Vargas, César Hervás-Martínez
Publikováno v:
Sensors, Vol 24, Iss 7, p 2168 (2024)
Recent advances in Deep Learning and aerial Light Detection And Ranging (LiDAR) have offered the possibility of refining the classification and segmentation of 3D point clouds to contribute to the monitoring of complex environments. In this context,
Externí odkaz:
https://doaj.org/article/bf5a466b16e145d6acf1c6b11fa1cc9d
Publikováno v:
Croatian Operational Research Review, Vol 14, Iss 2, Pp 137-148 (2023)
This research addresses the utilization of user-defined and web-based data for decision-making in recreational activities, focusing on the case of scuba diving, a globally significant recreational pursuit. While a wealth of user-generated information
Externí odkaz:
https://doaj.org/article/e7bcdd49636e4d4887b63e3958ba3dab
Publikováno v:
IEEE Access, Vol 11, Pp 48292-48303 (2023)
Knee osteoarthritis is a common form of arthritis, a chronic and progressive disease recognized by joint space narrowing, osteophyte formation, sclerosis, and bone deformity that can be observed using radiographs. Radiography is regarded as the gold
Externí odkaz:
https://doaj.org/article/5dc7ae9f31b54c2dbb4052214b545b67
Autor:
Deniu He
Publikováno v:
IEEE Access, Vol 11, Pp 16396-16410 (2023)
Although a plethora of research has been conducted on active learning, little research attention has been focused on active learning for ordinal classification. Traditional multi-class active learning methods are typically designed for nominal multi-
Externí odkaz:
https://doaj.org/article/d3c55504b648422588c5745498903fda
Autor:
Eduardo Fernandez, Jorge Navarro, Efrain Solares, Carlos A. Coello Coello, Raymundo Diaz, Abril Flores
Publikováno v:
IEEE Access, Vol 11, Pp 3044-3061 (2023)
Multicriteria sorting involves assigning the objects of decisions (actions) into $a$ priori known ordered classes considering the preferences of a decision maker (DM). Two new multicriteria sorting methods were recently proposed by the authors. These
Externí odkaz:
https://doaj.org/article/f913e25aa9f946118cb1c0b8abf0f857
Autor:
Avantika Vardhan, Alex Makhnevich, Pravan Omprakash, David Hirschorn, Matthew Barish, Stuart L. Cohen, Theodoros P. Zanos
Publikováno v:
Bioelectronic Medicine, Vol 9, Iss 1, Pp 1-16 (2023)
Abstract Chest radiographs (CXRs) are the most widely available radiographic imaging modality used to detect respiratory diseases that result in lung opacities. CXR reports often use non-standardized language that result in subjective, qualitative, a
Externí odkaz:
https://doaj.org/article/f0fab7f6d4c0488182d7a0b70949dc26
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 7, Iss 4, Pp 561-569 (2022)
Abstract In order to improve the performance of the automatic apple grading and sorting system, in this paper, an ensemble model of ordinal classification based on neural network with ordered partitions and Dempster–Shafer theory is proposed. As a
Externí odkaz:
https://doaj.org/article/772542ed3c4448538872241ec5f74e75
Autor:
Guodong Wei, Xinxin Di, Wenrui Zhang, Shijia Geng, Deyun Zhang, Kai Wang, Zhaoji Fu, Shenda Hong
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-9 (2022)
Abstract Background Critical values are commonly used in clinical laboratory tests to define health-related conditions of varying degrees. Knowing the values, people can quickly become aware of health risks, and the health professionals can take imme
Externí odkaz:
https://doaj.org/article/3c5a65e03d5e445994c95dd0222f1979