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A knowledge model for the development of a framework for hypnogram construction
(Elsevier BV, 2017-02-15)
[Abstract] We describe a proposal of a knowledge model for the development of a framework for hypnogram construction from intelligent analysis of pulmonology and electrophysiological signals. Throughout the twentieth ...
A computational system for the Heuristic Forecasting of Fire Risk
(International Institute of Informatics and Systemics, 2002-07)
This article describes a computational system which forecasts the potential risk of forest fires, by processing a set of
meteorological variables so as to produce a fire weather risk index. The system also studies a set ...
A Taxonomy-Based Usability Study of an Intelligent Speed Adaptation Device
(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 ...
Integrating Iterative Machine Teaching and Active Learning into the Machine Learning Loop
(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 ...
Usability Heuristics for Domain-Specific Languages (DSLs)
(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 ...
Improving Medical Data Annotation Including Humans in the Machine Learning Loop
(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 ...
Quantum Computing for Dealing with Inaccurate Knowledge Related to the Certainty Factors Model
(MDPI, 2022)
[Abstract] In this paper, we illustrate that inaccurate knowledge can be efficiently implemented in a quantum environment. For this purpose, we analyse the correlation between certainty factors and quantum probability. We ...
A classification and review of tools for developing and interacting with machine learning systems
(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 ...
Addressing the data bottleneck in medical deep learning models using a human-in-the-loop machine learning approach
(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 ...
A Systematic and Generalizable Approach to the Heuristic Evaluation of User Interfaces
(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 ...