Zobrazeno 1 - 10
of 447
pro vyhledávání: '"A. Martínez Cámara"'
Autor:
Camacho-Collados, Jose, Rezaee, Kiamehr, Riahi, Talayeh, Ushio, Asahi, Loureiro, Daniel, Antypas, Dimosthenis, Boisson, Joanne, Espinosa-Anke, Luis, Liu, Fangyu, Martínez-Cámara, Eugenio, Medina, Gonzalo, Buhrmann, Thomas, Neves, Leonardo, Barbieri, Francesco
In this paper we present TweetNLP, an integrated platform for Natural Language Processing (NLP) in social media. TweetNLP supports a diverse set of NLP tasks, including generic focus areas such as sentiment analysis and named entity recognition, as w
Externí odkaz:
http://arxiv.org/abs/2206.14774
Publikováno v:
In Knowledge-Based Systems 10 January 2025 308
Autor:
Rodríguez-Barroso, Nuria, López, Daniel Jiménez, Luzón, M. Victoria, Herrera, Francisco, Martínez-Cámara, Eugenio
Publikováno v:
Information Fusion (2022)
Federated learning is a machine learning paradigm that emerges as a solution to the privacy-preservation demands in artificial intelligence. As machine learning, federated learning is threatened by adversarial attacks against the integrity of the lea
Externí odkaz:
http://arxiv.org/abs/2201.08135
Autor:
Nuria Rodríguez-Barroso, Eugenio Martínez Cámara, Jose Camacho Collados, M. Victoria Luzón, Francisco Herrera
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 12 (2024)
Externí odkaz:
https://doaj.org/article/24bb147277cb473d9df29ffcf6de7a1a
Autor:
Lorente-Rubio, C., García-Alcaraz, J.L., Sáenz-Diez Muro, J.C., Martínez-Cámara, E., Bruzzone, A., Blanco-Fernández, J.
Publikováno v:
In Renewable Energy June 2024 227
Autor:
Torregrosa, Javier, Bello-Orgaz, Gema, Martinez-Camara, Eugenio, Del Ser, Javier, Camacho, David
Extremism research has grown as an open problem for several countries during recent years, especially due to the apparition of movements such as jihadism. This and other extremist groups have taken advantage of different approaches, such as the use o
Externí odkaz:
http://arxiv.org/abs/2104.04069
Decision making models are constrained by taking the expert evaluations with pre-defined numerical or linguistic terms. We claim that the use of sentiment analysis will allow decision making models to consider expert evaluations in natural language.
Externí odkaz:
http://arxiv.org/abs/2008.00032
Publikováno v:
Future Generation Computer Systems, 133 (2022), 1-9
Federated learning, as a distributed learning that conducts the training on the local devices without accessing to the training data, is vulnerable to Byzatine poisoning adversarial attacks. We argue that the federated learning model has to avoid tho
Externí odkaz:
http://arxiv.org/abs/2007.15030
Autor:
Rodríguez-Barroso, Nuria, Stipcich, Goran, Jiménez-López, Daniel, Ruiz-Millán, José Antonio, Martínez-Cámara, Eugenio, González-Seco, Gerardo, Luzón, M. Victoria, Veganzones, Miguel Ángel, Herrera, Francisco
Publikováno v:
Information Fusion 64 (2020) 270-292
The high demand of artificial intelligence services at the edges that also preserve data privacy has pushed the research on novel machine learning paradigms that fit those requirements. Federated learning has the ambition to protect data privacy thro
Externí odkaz:
http://arxiv.org/abs/2007.00914
Autor:
Efrén Tarancón-Andrés, Jacinto Santamaria-Peña, David Arancón-Pérez, Eduardo Martínez-Cámara, Julio Blanco-Fernández
Publikováno v:
Soil and Water Research, Vol 18, Iss 2, Pp 102-115 (2023)
Life Cycle Assessment (LCA) is normally used independently of the physical and temporal location of the product, process or service under analysis. This makes LCA results more easily comparable and globally accepted. At the same time, it has drawback
Externí odkaz:
https://doaj.org/article/c601e314237b4850b04928955b7373ce