Background
Virtual surgery simulators enable surgeons to learn by themselves, shortening their learning curves. Virtual simulators offer an objective evaluation of the surgeon’s skills at the end of each training session. ...
De Bie, Tijl; De Raedt, Luc; Hernández-Orallo, José; Hoos, Holger H.; Smyth, Padhraic; Williams, Christopher K. I.(Association for Computing Machinery, 2022-03)
[EN] Given the complexity of data science projects and related demand for human expertise, automation has the potential to transform the data science process.
Some supervised tasks are presented with a numerical output but decisions have to be made in a discrete, binarised, way, according to a particular cutoff. This binarised regression task is a very common situation that ...
Estruch Gregori, Vicente; Ferri Ramírez, César; José Hernández-Orallo; Ramírez Quintana, María José(Wiley-Blackwell, 2012-11-29)
Distance-based and generalization-based methods are two families of artificial intelligence techniques that have been successfully used over a wide range of real-world problems. In the first case, general algorithms can ...
Hernández Orallo, José(Springer International Publishing, 2015-07-15)
We explore the aggregation of tasks by weighting them using a difficulty
function that depends on the complexity of the (acceptable) policy for the task (instead
of a universal distribution over tasks or an adaptive ...
[EN] The automation of data science and other data manipulation processes depend on the integration and formatting of 'messy' data. Data wrangling is an umbrella term for these tedious and time-consuming tasks. Tasks such ...
In recent years the number of research projects on
computer programs solving human intelligence problems in
artificial intelligence (AI), artificial general intelligence, as
well as in Cognitive Modelling, has significantly ...
Insa Cabrera, Javier; Dowe, David L.; España Cubillo, Sergio; Henánez-Lloreda, M. Victoria; Hernández Orallo, José(Springer Verlag (Germany), 2011)
Comparing humans and machines is one important source of
information about both machine and human strengths and limitations.
Most of these comparisons and competitions are performed in rather
specific tasks such as ...
Jaimovitch López, Gonzalo Eduardo(Universitat Politècnica de València, 2020-10-21)
[EN] In contrast to the term widely known as Machine Learning, a successful branch of Artificial Intelligence (AI), the concept of Machine Teaching arises. One of its main objectives is the optimization of learning through ...
Compression has been advocated as one of the principles which pervades inductive inference and prediction - and, from there, it has also been recurrent in definitions and tests of intelligence. However, this connection is ...
While some computational models of intelligence test problems were proposed throughout
the second half of the XXth century, in the first years of the XXIst century we have
seen an increasing number of computer systems ...
Martínez Pedrón, Carlos Javier(Universitat Politècnica de València, 2018-10-31)
[ES] El objetivo de este trabajo es crear tareas competitivas multiagente en el mundo de
Minecraft. Para ello, se utiliza la plataforma Project Malmo, que nos permite crear entornos en
este mundo y lanzar agentes que ...
Armas Suárez, Luis(Universitat Politècnica de València, 2017-10-02)
[ES] Esta es la memoria escrita que presenta el Trabajo de Fin de Grado de la titulación
Grado en Ingeniería informática.
Este trabajo realiza un estudio sobre la cooperación y aprendizaje entre agentes
inteligentes que ...
Martínez-Plumed, Fernando; Contreras-Ochando, Lidia; Ferri Ramírez, César; Hernández-Orallo, José; Kull, Meelis; Lachiche, Nicolas; Ramírez Quintana, María José; Flach, Peter(Institute of Electrical and Electronics Engineers, 2021-08-01)
[EN] CRISP-DM (CRoss-Industry Standard Process for Data Mining) has its origins in the second half of the nineties and is thus about two decades old. According to many surveys and user polls it is still thede factostandard ...
Díaz Arellano, Ignacio(Universitat Politècnica de València, 2019-10-16)
[ES] La continuas mejoras tecnológicas, sensorización y volumen de datos recogidos de
los procesos industriales hacen cada vez más necesario el uso de técnicas de análisis multivariante para su entendimiento, monitorización ...
Nieves Cordones, David(Universitat Politècnica de València, 2017-10-19)
[ES] En este trabajo se recoge el desarrollo de un prototipo para la detección de eventos de bajo nivel
dentro del marco del proyecto SUPERVASION. Este proyecto propone un sistema innovador de
supervisión automática por ...
Voudouris, Konstantinos; Crosby, Matthew; Beyret, Benjamin; Hernández-Orallo, José; Shanahan, Murray; Halina, Marta; Cheke, Lucy G.(Frontiers Media SA, 2022-05-24)
[EN] Artificial Intelligence is making rapid and remarkable progress in the development of more sophisticated and powerful systems. However, the acknowledgement of several problems with modern machine learning approaches ...
[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 ...
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 ...