Zobrazeno 1 - 10
of 413
pro vyhledávání: '"Classification task"'
Autor:
Alexander A. Grusho, Nikolai A. Grusho, Michael I. Zabezhailo, Konstantin E. Samouylov, Elena E. Timonina
Publikováno v:
Discrete and Continuous Models and Applied Computational Science, Vol 32, Iss 2, Pp 213-221 (2024)
The problem of identifying deterministic cause-and-effect relationships, initially hidden in accumulated empirical data, is discussed. Statistical methods were used to identify such relationships. A simple mathematical model of cause-and-effect relat
Externí odkaz:
https://doaj.org/article/80124bac6f64430b8eb399ed48de1690
Autor:
Alexandre Thurow Bender, Emillyn Mellyne Gobetti Souza, Ihan Belmonte Bender, Ulisses Brisolara Corrêa, Ricardo Matsumura Araujo
Publikováno v:
Journal on Interactive Systems, Vol 15, Iss 1 (2024)
This work presents an extended investigation into multi-domain learning techniques within the context of image and audio classification, with a focus on the latter. In machine learning, collections of data obtained or generated under similar conditio
Externí odkaz:
https://doaj.org/article/9acbea6a185d46bfa5809569a9023283
Publikováno v:
Acta Psychologica, Vol 246, Iss , Pp 104287- (2024)
Although the SNARC effect in the processing of most magnitude stimuli and sequence stimuli has been reported for the past 30 years, it remains unclear whether this effect is caused by the spatial representation or polarity encoding of stimuli. In the
Externí odkaz:
https://doaj.org/article/0cbb379498d04156b3fd3dbb4e98f941
Publikováno v:
IEEE Access, Vol 12, Pp 166870-166884 (2024)
The banking industry and other financial institutions face the economic problem of deciding whether it is appropriate to provide a client with credit who later demonstrates to be a good risk. Credit risk assessment is more crucial than ever in light
Externí odkaz:
https://doaj.org/article/5a52fedb387f44118ac9f1740ba0df6b
Publikováno v:
IEEE Access, Vol 12, Pp 75496-75507 (2024)
Medical image data often face the problem of data scarcity and costly annotation processes. To overcome this, our study introduces a novel transfer learning method for medical image classification. We present a multimodal learning framework that inco
Externí odkaz:
https://doaj.org/article/0ee381395c18444e8763b472189e94f2
Publikováno v:
Модели, системы, сети в экономике, технике, природе и обществе, Iss 4 (2023)
Background. The paper deals with the problem of diagnosing diabetic retinopathy. The aim of the work is to create software to facilitate the diagnosis of diabetic retinopathy. Materials and methods. A publicly available set of ocular fundus images fr
Externí odkaz:
https://doaj.org/article/90149246a7cb4ef6a2842eab5702d432
Autor:
Katarzyna Jabłońska, Marcin Maksymowicz, Dariusz Tanajewski, Wojciech Kaczan, Maciej Zięba, Marek Wilgucki
Publikováno v:
Remote Sensing, Vol 16, Iss 6, p 955 (2024)
Our study addresses the need for universal monitoring solutions given the diverse environmental impacts of surface mining operations. We present a solution combining remote sensing and machine learning techniques, utilizing a dataset of over 2000 sat
Externí odkaz:
https://doaj.org/article/56a3df946a4c43ec862a5e2296547f45
Autor:
Lkhagvadorj Munkhdalai, Tsendsuren Munkhdalai, Jang-Eui Hong, Van-Huy Pham, Nipon Theera-Umpon, Keun Ho Ryu
Publikováno v:
IEEE Access, Vol 11, Pp 15404-15418 (2023)
For the classification task, neural network-based approaches attempt to distinguish between two distributions by determining the joint distribution of input variables for each class. However, the most challenging task is still to classify the observa
Externí odkaz:
https://doaj.org/article/11d281c2875a44f29f5cff117e08edad
Publikováno v:
Emitter: International Journal of Engineering Technology, Vol 11, Iss 1 (2023)
Advances have been made in the field of Machine Learning showing that it is an effective tool that can be used for solving real world problems. This success is hugely attributed to the availability of accessible data which is not the case for many fi
Externí odkaz:
https://doaj.org/article/aed0921820f84ffdb1c643294b289a2f
Autor:
Yi-Chuan Chen, Pi-Chun Huang
Publikováno v:
Frontiers in Psychology, Vol 14 (2023)
IntroductionA classic example of sound–shape correspondences is the mapping of the vowel /i/ with angular patterns and the vowel /u/ with rounded patterns. Such crossmodal correspondences have been reliably reported when tested in explicit matching
Externí odkaz:
https://doaj.org/article/3146c9fff74d4bde9d57d369429867be