Browsing by Author "Alonso-Betanzos, Amparo"
Now showing items 1-20 of 48
-
A comparison of performance of K-complex classification methods using feature selection
Hernández-Pereira, Elena; Bolón-Canedo, Verónica; Sánchez-Maroño, Noelia; Alvarez-Estevez, Diego; Moret-Bonillo, Vicente; Alonso-Betanzos, Amparo (2016-01-20)[Abstract] The main objective of this work is to obtain a method that achieves the best accuracy results with a low false positive rate in the classification of K-complexes, a kind of transient waveform found in the ... -
A delayed elastic-net approach for performing adversarial attacks
Cancela, Brais; Bolón-Canedo, Verónica; Alonso-Betanzos, Amparo (IEEE, 2021)[Abstract]: With the rise of the so-called Adversarial Attacks, there is an increased concern on model security. In this paper we present two different contributions: novel measures of robustness (based on adversarial ... -
A review of green artificial intelligence: Towards a more sustainable future
Bolón-Canedo, Verónica; Morán-Fernández, Laura; Cancela, Brais; Alonso-Betanzos, Amparo (Elsevier B.V., 2024-09-28)[Abstract]: Green artificial intelligence (AI) is more environmentally friendly and inclusive than conventional AI, as it not only produces accurate results without increasing the computational cost but also ensures that ... -
A scalable decision-tree-based method to explain interactions in dyadic data
Eiras-Franco, Carlos; Guijarro-Berdiñas, Bertha; Alonso-Betanzos, Amparo; Bahamonde, Antonio (Elsevier, 2019-12)[Abstract]: Gaining relevant insight from a dyadic dataset, which describes interactions between two entities, is an open problem that has sparked the interest of researchers and industry data scientists alike. However, ... -
A scalable saliency-based feature selection method with instance-level information
Cancela, Brais; Bolón-Canedo, Verónica; Alonso-Betanzos, Amparo; Gama, João (Elsevier, 2019-11)[Abstract]: Classic feature selection techniques remove irrelevant or redundant features to achieve a subset of relevant features in compact models that are easier to interpret and so improve knowledge extraction. Most ... -
Agent-based model to assess public acceptance of an energy sustainability project in the island of El Hierro
Rodríguez-Arias, Alejandro; Sánchez-Maroño, Noelia; Guijarro-Berdiñas, Bertha; Alonso-Betanzos, Amparo (Elsevier, 2024-11)[Abstract]: This paper presents an agent-based model to address citizen acceptance of energy sustainability projects, using the 100% Renewable El Hierro Project as a case study. The island of El Hierro is a pioneer in the ... -
An agent-based model to simulate the public acceptability of social innovations
Rodríguez-Arias, Alejandro; Sánchez-Maroño, Noelia; Guijarro-Berdiñas, Bertha; Alonso-Betanzos, Amparo; Lema-Blanco, Isabel; Dumitru, Adina (Wiley, 2024)[Abstract]: The successful adoption of social innovations, such as renewable energy systems or pollution reduction plans in cities, depends, to a large extent, on the willingness and participation of the population in their ... -
An Agent-Based Model to Simulate the Spread of a Virus Based on Social Behavior and Containment Measures
Seijas Carpente, Manuel; Guijarro-Berdiñas, Bertha; Alonso-Betanzos, Amparo; Rodríguez-Arias, Alejandro; Dumitru, Adina (MDPI AG, 2020-08-20)[Abstract] COVID-19 has brought a new normality in society. However, to avoid the situation, the virus must be stopped. There are several ways in which the governments of the world have taken action, from small measures ... -
Anomaly Detection on Natural Language Processing to Improve Predictions on Tourist Preferences
Meira, Jorge; Carneiro, João; Bolón-Canedo, Verónica; Alonso-Betanzos, Amparo; Novais, Paulo; Marreiros, Goreti (MDPI, 2022)[Abstract] Argumentation-based dialogue models have shown to be appropriate for decision contexts in which it is intended to overcome the lack of interaction between decision-makers, either because they are dispersed, they ... -
Aprendizaje automático para combatir la toxicidad en conversaciones sobre salud en línea
Paz Ruza, Jorge; Alonso-Betanzos, Amparo; Guijarro-Berdiñas, Bertha; Eiras-Franco, Carlos (AEPIA, 2024)[Abstract]: En temas relacionados con la salud publica, la toxicidad de usuarios en conversaciones en redes sociales puede ser una fuente de conflicto social o promover comportamientos peligrosos sin base científica. Los ... -
Can data placement be effective for Neural Networks classification tasks? Introducing the Orthogonal Loss
Cancela, Brais; Bolón-Canedo, Verónica; Alonso-Betanzos, Amparo (IEEE, 2021)[Abstract]: Traditionally, a Neural Network classification training loss function follows the same principle: minimizing the distance between samples that belong to the same class, while maximizing the distance to the other ... -
Community detection and social network analysis based on the Italian wars of the 15th century
Fumanal-Idocin, Javier; Alonso-Betanzos, Amparo; Cordón, Oscar; Bustince, Humberto; Minárová, Mária (Elsevier, 2020)[Abstract]: In this contribution we study social network modelling by using human interaction as a basis. To do so, we propose a new set of functions, affinities, designed to capture the nature of the local interactions ... -
Data-driven predictive maintenance framework for railway systems
Meira, Jorge; Veloso, Bruno; Bolón-Canedo, Verónica; Marreiros, Goreti; Alonso-Betanzos, Amparo; Gama, João (IOS Press, 2023)[Abstract]: The emergence of the Industry 4.0 trend brings automation and data exchange to industrial manufacturing. Using computational systems and IoT devices allows businesses to collect and deal with vast volumes of ... -
Dealing with heterogeneity in the context of distributed feature selection for classification
Morillo-Salas, José Luis; Bolón-Canedo, Verónica; Alonso-Betanzos, Amparo (Springer, 2021)[Abstract]: Advances in the information technologies have greatly contributed to the advent of larger datasets. These datasets often come from distributed sites, but even so, their large size usually means they cannot be ... -
Distributed classification based on distances between probability distributions in feature space
Montero Manso, Pablo; Morán-Fernández, Laura; Bolón-Canedo, Verónica; Vilar, José; Alonso-Betanzos, Amparo (Elsevier, 2019-09)[Abstract]: We consider a distributed framework where training and test samples drawn from the same distribution are available, with the training instances spread across disjoint nodes. In this setting, a novel learning ... -
Distributed correlation-based feature selection in spark
Palma Mendoza, Raúl José; Marcos, Luis de; Rodríguez, Daniel; Alonso-Betanzos, Amparo (Elsevier, 2019-09)[Abstract]: Feature selection (FS) is a key preprocessing step in data mining. CFS (Correlation-Based Feature Selection) is an FS algorithm that has been successfully applied to classification problems in many domains. We ... -
E2E-FS: An End-to-End Feature Selection Method for Neural Networks
Cancela, Brais; Bolón-Canedo, Verónica; Alonso-Betanzos, Amparo (IEEE, 2023-07)[Abstract]: Classic embedded feature selection algorithms are often divided in two large groups: tree-based algorithms and LASSO variants. Both approaches are focused in different aspects: while the tree-based algorithms ... -
Editor's note
Alonso-Betanzos, Amparo; Cabalar, Pedro; Dimuro, Gracaliz P.; Garcia, Marcos; Hernández-Orallo, José; Hervás, Raquel; Manjarés, Ángeles; Martínez-Plumed, Fernando; Mora-Jiménez, Inmaculada; Sànchez-Marré, Miquel (Universidad Internacional de la Rioja, 2021)[Abstract]: Artificial Intelligence (AI) has become nowadays one of the main relevant technologies that is driven us to a new revolution, a change in society, just as well as other human inventions, such as navigation, ... -
Ensembles for feature selection: A review and future trends
Bolón-Canedo, Verónica; Alonso-Betanzos, Amparo (Elsevier, 2019)[Abstract]: Ensemble learning is a prolific field in Machine Learning since it is based on the assumption that combining the output of multiple models is better than using a single model, and it usually provides good ... -
Explicabilidad Sostenible para Sistemas de Recomendación mediante Ranking Bayesiano de Imágenes
Paz Ruza, Jorge; Alonso-Betanzos, Amparo; Guijarro-Berdiñas, Bertha; Eiras-Franco, Carlos; Cancela, Brais (AEPIA, 2024)[Abstract]: Los Sistemas de Recomendacion se han vuelto cruciales por su gran influencia en la sociedad pero, siendo mayoritariamente sistemas de caja negra, fomentar su transparencia es tan primordial como complejo; ...