Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Dalia Rodríguez-Salas"'
Autor:
Sheethal Bhat, Awais Mansoor, Bogdan Georgescu, Adarsh B. Panambur, Florin C. Ghesu, Saahil Islam, Kai Packhäuser, Dalia Rodríguez-Salas, Sasa Grbic, Andreas Maier
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)
Abstract The evaluation of deep-learning (DL) systems typically relies on the Area under the Receiver-Operating-Curve (AU-ROC) as a performance metric. However, AU-ROC, in its holistic form, does not sufficiently consider performance within specific
Externí odkaz:
https://doaj.org/article/253df8351f8247ba8dfbd5cedd186436
Publikováno v:
Informatik aktuell ISBN: 9783658369316
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f73f381584711e41016fb6cb86287751
https://doi.org/10.1007/978-3-658-36932-3_66
https://doi.org/10.1007/978-3-658-36932-3_66
Autor:
Dalia Rodríguez-Salas, Andreas Maier, Anguelos Nicolaou, Mathias Seuret, Vincent Christlein, Dominique Stutzmann, Nikolaus Weichselbaumer, Martin Mayr
Publikováno v:
Document Analysis and Recognition – ICDAR 2021 ISBN: 9783030863364
ICDAR (4)
Document Analysis and Recognition – ICDAR 2021
Document Analysis and Recognition – ICDAR 2021, Sep 2021, Cham, Unknown Region. pp.618--634, ⟨10.1007/978-3-030-86337-1_41⟩
ICDAR (4)
Document Analysis and Recognition – ICDAR 2021
Document Analysis and Recognition – ICDAR 2021, Sep 2021, Cham, Unknown Region. pp.618--634, ⟨10.1007/978-3-030-86337-1_41⟩
International audience; This competition investigated the performance of historical document classification. The analysis of historical documents is a difficult challenge commonly solved by trained humanists. We provided three different classificatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e9bb99a54cdcdf8ce42e17d0a0cdf1c
https://doi.org/10.1007/978-3-030-86337-1_41
https://doi.org/10.1007/978-3-030-86337-1_41
Publikováno v:
Bildverarbeitung für die Medizin 2021 ISBN: 9783658331979
Bildverarbeitung für die Medizin
Bildverarbeitung für die Medizin
In order to detect lesions on medical images, deep learning models commonly require information about the size of the lesion, either through a bounding box or through the pixel-/voxel-wise annotation of the lesion, which is in turn extremely expensiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::504a82394516d1b75499b22be2529d10
https://doi.org/10.1007/978-3-658-33198-6_67
https://doi.org/10.1007/978-3-658-33198-6_67
Publikováno v:
SN Computer Science. 1
Tree-based classifiers provide easy-to-understand outputs. Artificial neural networks (ANN) commonly outperform tree-based classifiers; nevertheless, understanding their outputs requires specialized knowledge in most cases. The highly redundant archi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86bc51194d868c97ebfd1bca09a72380
https://doi.org/10.1007/s42979-020-00268-y
https://doi.org/10.1007/s42979-020-00268-y
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030414030
ACPR (1)
ACPR (1)
In this paper, we introduce a mechanism for designing the architecture of a Sparse Multi-Layer Perceptron network, for classification, called ForestNet. Networks built using our approach are capable of handling high-dimensional data and learning repr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::feff613b78c0b09c6ddd3b530ea70b1d
https://doi.org/10.1007/978-3-030-41404-7_3
https://doi.org/10.1007/978-3-030-41404-7_3
Autor:
Dalia Rodríguez-Salas, Andreas Maier
Publikováno v:
MVA
Feature selection for regression problems can be highly beneficial in terms of robustness and execution speed. The Correlation-based Feature Selection (CFS) algorithm, in the attempt to find the best feature subset, evaluates different subsets and se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81e6a45f45c21478bf7f579ae1ebd53e
https://doi.org/10.23919/mva.2017.7986905
https://doi.org/10.23919/mva.2017.7986905
Autor:
Jorge de la Calleja, Ramón Alberto Mollineda, J. Arturo Olvera-López, Dalia Rodríguez-Salas, Antonio Benitez, Manuel S. Lazo-Cortés
Publikováno v:
Nature-Inspired Computation and Machine Learning ISBN: 9783319136493
MICAI (2)
MICAI (2)
The voting algorithms model (AlVot) allows building supervised classification methods based in partial analogies. These algorithms use a collection of features subsets as support to classify a new object, which is called support set system. Each supp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78655d178b5c68e451c1cd832fa9212e
https://doi.org/10.1007/978-3-319-13650-9_12
https://doi.org/10.1007/978-3-319-13650-9_12
Autor:
Celia Martín Vicario, Dalia Rodríguez Salas, Andreas Maier, Stefan Hock, Joji Kuramatsu, Bernd Kallmuenzer, Florian Thamm, Oliver Taubmann, Hendrik Ditt, Stefan Schwab, Arnd Dörfler, Iris Muehlen
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Acute ischemic stroke (AIS) is a leading global cause of mortality and morbidity. Improving long-term outcome predictions after thrombectomy can enhance treatment quality by supporting clinical decision-making. With the advent of interpretab
Externí odkaz:
https://doaj.org/article/cbf2993154894763a0b9921fdb52f9ab