Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Carmen Peláez Moreno"'
Autor:
Jose A. Miranda Calero, Laura Gutiérrez-Martín, Esther Rituerto-González, Elena Romero-Perales, Jose M. Lanza-Gutiérrez, Carmen Peláez-Moreno, Celia López-Ongil
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-11 (2024)
Abstract WEMAC is a unique open multi-modal dataset that comprises physiological, speech, and self-reported emotional data records of 100 women, targeting Gender-based Violence detection. Emotions were elicited through visualizing a validated video s
Externí odkaz:
https://doaj.org/article/74e8bd8036934212bd37d4071025466e
Publikováno v:
Mathematics, Vol 12, Iss 2, p 346 (2024)
Multilabel classification is a recently conceptualized task in machine learning. Contrary to most of the research that has so far focused on classification machinery, we take a data-centric approach and provide an integrative framework that blends qu
Externí odkaz:
https://doaj.org/article/c7875c159a3a49419a5c5295c9f5b792
Publikováno v:
Mathematics, Vol 9, Iss 2, p 173 (2021)
Formal Concept Analysis (FCA) is a well-known supervised boolean data-mining technique rooted in Lattice and Order Theory, that has several extensions to, e.g., fuzzy and idempotent semirings. At the heart of FCA lies a Galois connection between two
Externí odkaz:
https://doaj.org/article/1499cbb9483b45ecb91f6c93ac20b493
Publikováno v:
Mathematics, Vol 8, Iss 9, p 1577 (2020)
In this paper, we provide a basic technique for Lattice Computing: an analogue of the Singular Value Decomposition for rectangular matrices over complete idempotent semifields (i-SVD). These algebras are already complete lattices and many of their in
Externí odkaz:
https://doaj.org/article/d5c3439e5c4647b0ac92c80dd379a874
Autor:
Emma Reyner Fuentes, Esther Rituerto González, Clara Luis Mingueza, Carmen Peláez Moreno, Celia López Ongil
Publikováno v:
IberSPEECH 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5165d7f2fc474560bad9ad8d3b4a4ac6
https://doi.org/10.21437/iberspeech.2022-20
https://doi.org/10.21437/iberspeech.2022-20
Publikováno v:
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
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Speech 'in-the-wild' is a handicap for speaker recognition systems due to the variability induced by real-life conditions, such as environmental noise and the emotional state of the speaker. Taking advantage of the principles of representation learni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d321d2ba778c3cda75aa7249d558ee8
https://doi.org/10.1007/s00521-021-06083-7
https://doi.org/10.1007/s00521-021-06083-7
Publikováno v:
Entropy, Vol 21, Iss 8, p 780 (2019)
We set out to demonstrate that the Rényi entropies are better thought of as operating in a type of non-linear semiring called a positive semifield. We show how the Rényi’s postulates lead to Pap’s g-calculus where the functions carrying out the
Externí odkaz:
https://doaj.org/article/b5fd8e88f23d4c2cb2a78c21fd8c28d7
Data Augmentation for Speaker Identification under Stress Conditions to Combat Gender-Based Violence
Autor:
Esther Rituerto-González, Alba Mínguez-Sánchez, Ascensión Gallardo-Antolín, Carmen Peláez-Moreno
Publikováno v:
Applied Sciences, Vol 9, Iss 11, p 2298 (2019)
A Speaker Identification system for a personalized wearable device to combat gender-based violence is presented in this paper. Speaker recognition systems exhibit a decrease in performance when the user is under emotional or stress conditions, thus t
Externí odkaz:
https://doaj.org/article/58258d60408245c598e7bbcc6b92d1dd
Publikováno v:
Entropy, Vol 21, Iss 1, p 46 (2019)
We introduce a variant of the Rényi entropy definition that aligns it with the well-known Hölder mean: in the new formulation, the r-th order Rényi Entropy is the logarithm of the inverse of the r-th order Hölder mean. This brings about new insig
Externí odkaz:
https://doaj.org/article/48084133493c4faaa5411c25dde88731
Autor:
Francisco José Valverde-Albacete, Carmen Peláez-Moreno, Inma P. Cabrera, Pablo Cordero, Manuel Ojeda-Aciego
Publikováno v:
Information Processing and Management of Uncertainty in Knowledge-Based Systems ISBN: 9783031089701
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e77061fdbc7c539e6366b5fe00d423a7
https://doi.org/10.1007/978-3-031-08971-8_11
https://doi.org/10.1007/978-3-031-08971-8_11
