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Adolfo Martínez-Usó

Researcher at James I University

Publications -  34
Citations -  1244

Adolfo Martínez-Usó is an academic researcher from James I University. The author has contributed to research in topics: Image segmentation & Segmentation-based object categorization. The author has an hindex of 11, co-authored 34 publications receiving 971 citations. Previous affiliations of Adolfo Martínez-Usó include Polytechnic University of Valencia.

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Journal ArticleDOI

Clustering-Based Hyperspectral Band Selection Using Information Measures

TL;DR: This paper presents a technique for dimensionality reduction to deal with hyperspectral images based on a hierarchical clustering structure to group bands to minimize the intracluster variance and maximize the intercluster variance.
Proceedings ArticleDOI

UJIIndoorLoc: A new multi-building and multi-floor database for WLAN fingerprint-based indoor localization problems

TL;DR: A multi-building and multi-floor localization database based on WLAN fingerprinting is presented, which not only is the biggest database in the literature but it is also the first publicly available database.
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Item response theory in AI: Analysing machine learning classifiers at the instance level

TL;DR: IRT suits classification tasks perfectly, where instances correspond to items and classifiers correspond to respondents and how the estimated classifier ability can be used to compare classifier performance in a different way through classifier characteristic curves is seen.
Proceedings ArticleDOI

Making sense of item response theory in machine learning

TL;DR: In this paper, a series of experiments with a range of datasets and classification methods are performed to fully understand how IRT works and what their parameters really mean in the context of machine learning.
Journal ArticleDOI

Multidimensional Optical Sensing and Imaging System (MOSIS): From Macroscales to Microscales

TL;DR: In this article, the authors describe passive multidimensional imaging systems combined with different integral imaging configurations, which can be used for 3D visualization, seeing through obscurations, material inspection, and object recognition from microscales to long range imaging.