Browsing by Author "Alonso Ríos, David"
Now showing items 1-13 of 13
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A classification and review of tools for developing and interacting with machine learning systems
Mosqueira-Rey, E.; Hernández-Pereira, Elena; Alonso Ríos, David; Bobes-Bascarán, José (Association for Computing Machinery, 2022)[Abstract] In this paper we aim to bring some order to the myriad of tools that have emerged in the field of Artificial Intelligence (AI), focusing on the field of Machine Learning (ML). For this purpose, we suggest a ... -
A Systematic and Generalizable Approach to the Heuristic Evaluation of User Interfaces
Alonso Ríos, David; Mosqueira-Rey, E.; Moret-Bonillo, Vicente (Taylor & Francis, 2018-01-24)[Abstract]: Heuristic evaluation is one of the most actively used techniques for analyzing usability, as it is quick and inexpensive. This technique is based on following a given set of heuristics, which are typically ... -
A systematic approach to API usability: Taxonomy-derived criteria and a case study
Mosqueira-Rey, E.; Alonso Ríos, David; Moret-Bonillo, Vicente; Fernández-Varela, Isaac; Álvarez-Estévez, Diego (Elsevier B.V., 2018-05)[Abstract]: CONTEXT. The currently existing literature about Application Program Interface (API) usability is heterogeneous in terms of goals, scope, and audience; and its connection to accepted definitions of usability ... -
A Taxonomy-Based Usability Study of an Intelligent Speed Adaptation Device
Alonso Ríos, David; Mosqueira-Rey, E.; Moret-Bonillo, Vicente (Taylor & Francis Inc., 2014-04-04)[Abstract] Usability studies are often based on ad hoc definitions of usability. These studies can be difficult to generalize, they might have a steep learning curve, and there is always the danger of being inconsistent ... -
Addressing the data bottleneck in medical deep learning models using a human-in-the-loop machine learning approach
Mosqueira-Rey, E.; Hernández-Pereira, Elena; Bobes-Bascarán, José; Alonso Ríos, David; Pérez-Sánchez, Alberto; Fernández-Leal, Ángel; Moret-Bonillo, Vicente; Vidal-Ínsua, Yolanda; Vázquez-Rivera, Francisca (Springer Nature, 2023-11)[Abstract]: Any machine learning (ML) model is highly dependent on the data it uses for learning, and this is even more important in the case of deep learning models. The problem is a data bottleneck, i.e. the difficulty ... -
Development of usability and context-of-use taxonomies, integration with techniques for the study of usability and application to real-world intelligent systems
Alonso Ríos, David (2015)[Resumen] Un importante obstáculo para la implantación del Diseño Centrado en el Usuario en el mundo real es que no existe una definición del concepto de usabilidad que sea precisa y comúnnmente aceptada y aplicada en ... -
Gamifying Machine Teaching: Human-in-the-Loop Approach for Diphthong and Hiatus Identification in Spanish Language
Mosqueira-Rey, E.; Fernández-Castaño, Sergio; Alonso Ríos, David; Vázquez-Cano, Esteban; López-Meneses, Eloy (Elsevier B.V., 2023)[Abstract]: Human-in-the-Loop Machine Learning (HITL-ML) is a set of techniques that attempt to actively involve experts into the learning loop of machine learning (ML) models. One of these techniques is Machine Teaching ... -
Human-in-the-loop machine learning: a state of the art
Mosqueira-Rey, E.; Hernández-Pereira, Elena; Alonso Ríos, David; Bobes-Bascarán, José; Fernández-Leal, Ángel (Springer Nature, 2023-04)[Abstract]: Researchers are defining new types of interactions between humans and machine learning algorithms generically called human-in-the-loop machine learning. Depending on who is in control of the learning process, ... -
Improving Medical Data Annotation Including Humans in the Machine Learning Loop
Bobes-Bascarán, José; Mosqueira-Rey, E.; Alonso Ríos, David (MDPI, 2021)[Abstract] At present, the great majority of Artificial Intelligence (AI) systems require the participation of humans in their development, tuning, and maintenance. Particularly, Machine Learning (ML) systems could greatly ... -
Integrating Iterative Machine Teaching and Active Learning into the Machine Learning Loop
Mosqueira-Rey, E.; Alonso Ríos, David; Baamonde-Lozano, Andrés (Elsevier, 2021)[Abstract] Scholars and practitioners are defining new types of interactions between humans and machine learning algorithms that we can group under the umbrella term of Human-in-the-Loop Machine Learning (HITL-ML). This ... -
Mejora de la motivación del alumnado mediante la realización de un debate en la materia de Sistemas Inteligentes
Bolón-Canedo, Verónica; Alonso-Betanzos, Amparo; Alonso Ríos, David; Fernández-Varela, Isaac; Varela, Daniel (Asociación de Enseñantes Universitarios de la Informática (AENUI), 2018)[Resumen]: En nuestra asignatura “Sistemas Inteligentes” del Grado en Ingeniería Informática de la Universidad da Coruña existe una brecha entre los contenidos que se imparten (más teóricos y sentando las bases de la ... -
Understanding Machine Learning Explainability Models in the context of Pancreatic Cancer Treatment
Bobes-Bascarán, José; Fernández-Leal, Ángel; Mosqueira-Rey, E.; Alonso Ríos, David; Hernández-Pereira, Elena; Moret-Bonillo, Vicente (Universidade da Coruña, Servizo de Publicacións, 2023)[Abstract] The increasing adoption of artificial intelligent systems at sensitive domains where humans are particularly, such as medicine, has provided the context to deeply explore ways of making machine learning models ... -
Usability Heuristics for Domain-Specific Languages (DSLs)
Mosqueira-Rey, E.; Alonso Ríos, David (ACM, 2020-03-30)[Abstract] The usability of Domain-Specific Languages (DSLs) has been attracting considerable interest from researchers lately. In particular, our literature review found many usability studies that make use of subjective ...
