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Listar por autor "Pardo Gómez, Emilia"

Mostrando ítems 1-5 de 5

Does AI Qualify for the Job?: A Bidirectional Model Mapping Labour and AI Intensities

Martínez-Plumed, Fernando; Tolan, Songül; Pesole, Annarosa; Hernández-Orallo, José; Fernández-Macías, Enrique; Gómez, Emilia (Association for Computing Machinery (ACM), 2020-02-08)

[EN] In this paper we present a setting for examining the relation between the distribution of research intensity in AI research and the relevance for a range of work tasks (and occupations) in current and simulated ...
Does AI Qualify for the Job?A Bidirectional Model Mapping Labour and AI Intensities (Appendix)

Martínez Plumed, Fernando; Tolan, Songül; Pesole, Annarosa; Hernández Orallo, José; Fernández-Macías, Enrique; Gómez, Emilia (Universitat Politècnica de València, 2020)

This appendix contains supplementary material of the paper "Does AI Qualify for the Job?A Bidirectional Model Mapping Labour and AI Intensities", in Proceedings of the 2020 AAAI/ACM Conference on AI, Ethics, and Society ...
Futures of artificial intelligence through technology readiness levels

Martínez-Plumed, Fernando; Gómez, Emilia; Hernández-Orallo, José (Elsevier, 2021-05)

[EN] Artificial Intelligence (AI) offers the potential to transform our lives in radical ways. However, the main unanswered questions about this foreseen transformation are its depth, breadth and timelines. To answer them, ...
Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks

Tolan, Songül; Pesole, Annarosa; Martínez-Plumed, Fernando; Fernández-Macías, Enrique; Hernández-Orallo, José; Gómez, Emilia (AI Access Foundation, 2021-06-09)

[EN] In this paper we develop a framework for analysing the impact of Artificial Intelligence (AI) on occupations. This framework maps 59 generic tasks from worker surveys and an occupational database to 14 cognitive ...
Trasformadas Wavelet no diezmadas para reducción de ruido y detección de señáles: Aplicaciones en Evaluación No Destructiva por Ultrasonidos

Pardo Gómez, Emilia (Universitat Politècnica de València, 2011-09-12)

La presente tesis doctoral se centra en el estudio de la transformada wavelet no diezmada (undecimated wavelet transform, UWT), así como en su aplicación a procesos de reducción de ruido y detección de señales. Como ...