Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Gonzalo Martínez-Muñoz"'
Deep learning has revolutionized the computer vision and image classification domains. In this context Convolutional Neural Networks (CNNs) based architectures are the most widely applied models. In this article, we introduced two procedures for trai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32be5f1871048090318978e8a00ab3c3
http://arxiv.org/abs/2302.11327
http://arxiv.org/abs/2302.11327
Publikováno v:
Artificial Intelligence Review. 54:1937-1967
The family of gradient boosting algorithms has been recently extended with several interesting proposals (i.e. XGBoost, LightGBM and CatBoost) that focus on both speed and accuracy. XGBoost is a scalable ensemble technique that has demonstrated to be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ed2692d28dac1d1256f76f0b642e8be
https://doi.org/10.1007/s10462-020-09896-5
https://doi.org/10.1007/s10462-020-09896-5
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031159367
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09296a069d06110a426352d5bfb8a813
https://doi.org/10.1007/978-3-031-15937-4_25
https://doi.org/10.1007/978-3-031-15937-4_25
Publikováno v:
ESANN 2022 proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a68280f1c106fef9862f2108d9d259aa
https://doi.org/10.14428/esann/2022.es2022-95
https://doi.org/10.14428/esann/2022.es2022-95
Autor:
Daniel de Andres, Gustavo Yepes, Federico Sembolini, Gonzalo Martínez-Muñoz, Weiguang Cui, Francisco Robledo, Chia-Hsun Chuang, Elena Rasia
In this paper we study the applicability of a set of supervised machine learning (ML) models specifically trained to infer observed related properties of the baryonic component (stars and gas) from a set of features of dark matter only cluster-size h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::934883e0c73f8a601948fdfbdb6a159f
Publikováno v:
Biblos-e Archivo. Repositorio Institucional de la UAM
Consejo Superior de Investigaciones Científicas (CSIC)
Consejo Superior de Investigaciones Científicas (CSIC)
Heterogeneous ensembles consist of predictors of different types, which are likely to have different biases. If these biases are complementary, the combination of their decisions is beneficial and could be superior to homogeneous ensembles. In this p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a5a72e899796b92bd2289dcd0d22933
https://doi.org/10.1007/s13042-021-01442-1
https://doi.org/10.1007/s13042-021-01442-1
Publikováno v:
Pattern Recognition. 124:108493
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d42ea53a41b3acaa3475d7fb8882c15
https://doi.org/10.1016/j.patcog.2021.108493
https://doi.org/10.1016/j.patcog.2021.108493
Publikováno v:
EDUCON
Students interact with online courses mainly in two ways: by reviewing the course materials and by solving exercises. However, there are cases in which student behaviour differs and tends to become more focused on solving exercises without looking at
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a37d6e8d0ad347024f453ce719eff083
https://doi.org/10.1109/educon45650.2020.9125252
https://doi.org/10.1109/educon45650.2020.9125252
Freshwater ecosystems are threatened by multiple anthropic pressures. Understanding the effect of pressures on the ecological status is essential for the design of effective policy measures but can be challenging from a methodological point of view.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::143ea67bab4b48a32d93357a3190c4f0
https://doi.org/10.5194/egusphere-egu2020-9567
https://doi.org/10.5194/egusphere-egu2020-9567
Publikováno v:
Neurocomputing. 275:2374-2383
The properties of bootstrap ensembles, such as bagging or random forest, are utilized to detect and handle label noise in classification problems. The first observation is that subsampling is a regularization mechanism that can be used to render boot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bbf27298ea7651deff56cfe86f68836
https://doi.org/10.1016/j.neucom.2017.11.012
https://doi.org/10.1016/j.neucom.2017.11.012