Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Songül Tolan"'
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract This work focuses on facial processing, which refers to artificial intelligence (AI) systems that take facial images or videos as input data and perform some AI-driven processing to obtain higher-level information (e.g. a person’s identity
Externí odkaz:
https://doaj.org/article/69ca9747dd154015be7ab25066d8dfdd
Autor:
Enrique Fernández-Macías, Emilia Gómez, Fernando Martínez-Plumed, Songül Tolan, José Hernández-Orallo, Annarosa Pesole
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
instname
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 abilities (that we extract from the co
Publikováno v:
Artificial Intelligence and Law. 29:111-147
In this paper we investigate risk prediction of criminal re-offense among juvenile defendants using general-purpose machine learning (ML) algorithms. We show that in our dataset, containing hundreds of cases, ML models achieve better predictive power
Publikováno v:
Research Policy
We investigate three alternative but complementary indicators of market power on one of the largest online labour markets (OLMs) in Europe: (1) the elasticity of labour demand, (2) the elasticity of labour supply, and (3) the concentration of market
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dceb5b44cf3aa86a5d61da9b30806180
https://hdl.handle.net/21.11116/0000-0009-CF50-4
https://hdl.handle.net/21.11116/0000-0009-CF50-4
Autor:
Songül Tolan, Annarosa Pesole, Fernando Martínez-Plumed, Enrique Fernández-Macías, José Hernández-Orallo, Emilia Gómez
Comunicació presentada a Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22), celebrat del 23 al 29 de juliol de 2022 a Viena, Àustria. We present a framework for analysing the impact of AI on occupations. This framewo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0feeaba1bbe352f9b1ba783e3befa4e
http://hdl.handle.net/10230/55770
http://hdl.handle.net/10230/55770
Publikováno v:
ACII
ACII is the premier international forum for presenting the latest research on affective computing. In this work, we monitor, quantify and reflect on the diversity in ACII conference across time by computing a set of indexes. We measure diversity in t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56311c6c39a4749942d884f4c04bd120
http://hdl.handle.net/10230/55798
http://hdl.handle.net/10230/55798
Autor:
Fernando Martínez-Plumed, Songül Tolan, Annarosa Pesole, Emilia Gómez, José Hernández-Orallo, Enrique Fernández-Macías
Publikováno v:
AIES
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
[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 scenarios. We perform a mapping be
Publikováno v:
ICAIL
In this paper we study the limitations of Machine Learning (ML) algorithms for predicting juvenile recidivism. Particularly, we are interested in analyzing the trade-off between predictive performance and fairness. To that extent, we evaluate fairnes
Autor:
Margherita Bacigalupo, Robert Marschinski, Montserrat López-Cobo, C. Urzi Brancati, Riina Vuorikari, J. Castano Munoz, Annarosa Pesole, Songül Tolan, C. Centeno Mediavilla, E. Gomez Herrera, David Klenert, E. Arregui Pabollet, E. Gomez Gutierrez, Yves Punie, F. Biagi, Enrique Fernández-Macías, M. Cabrera Giraldez, S. Torrejon Perez, A. Inamorato dos Santos, Panagiotis Kampylis, F. Caena, John Richard Edwards
Publikováno v:
EUR (Luxembourg. Online) ISBN: 9789276092063
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7273d20e5a97441724ef107570d443d
https://doi.org/10.2760/679150
https://doi.org/10.2760/679150
Autor:
Songül Tolan, Bertin Martens
Publikováno v:
SSRN Electronic Journal.
There is a long-standing economic research literature on the impact of technological innovation and automation in general on employment and economic growth. Traditional economic models trade off a negative displacement or substitution effect against