Martínez-Plumed, Fernando; Hernández-Orallo, José(Institute of Electrical and Electronics Engineers (IEEE), 2020-06)
[EN] With the purpose of better analyzing the result of artificial intelligence (AI) benchmarks, we present two indicators on the side of the AI problems, difficulty and discrimination, and two indicators on the side of ...
Cano Navarro, Ignacio(Universitat Politècnica de València, 2022-10-20)
[ES] El propósito de este trabajo es estudiar la posible relación entre el sentimien- to de los habitantes de la ciudad de Nueva York sobre países relevantes para los ciudadanos estadounidenses y las posteriores visitas a ...
Morillo Alcivar, Paulina Adriana(Universitat Politècnica de València, 2016-09-09)
[ES] Los modelos de clasificación se generan por algoritmos de aprendizaje supervisado,
que aprenden a través de un conjunto de datos de entrenamiento. Estos
modelos establecen relaciones entre las instancias, que les ...
Lucas Villaverde, Alejandro(Universitat Politècnica de València, 2012-07-16)
Desarrollo de un método para la evaluación automática e interactiva de destrezas durante la
realización de ejercicios quirúrgicos mínimamente invasivos usando técnicas de distancia
(similitud) entre cadenas de movimientos, ...
In this paper we apply the recent notion of anytime universal intelligence tests to the evaluation of a popular reinforcement learning algorithm, Q-learning. We show that a general approach to intelligence evaluation of ...
José Hernández-Orallo(Springer Verlag (Germany), 2016-08-19)
The evaluation of artificial intelligence systems and components is crucial for the
progress of the discipline. In this paper we describe and critically assess the different ways
AI systems are evaluated, and the role ...
Pérez Esteban, Raúl(Universitat Politècnica de València, 2012-05-14)
The project that we have done is about a design and implementation of excursions management system, which manage excursions in Czech Republic for students and retired persons including the management of contracted buses, ...
[EN] The landscape of AI safety is frequently explored differently
by contrasting specialised AI versus general AI (or AGI), by
analysing the short-term hazards of systems with limited capabilities against those more ...
Albert Gramaje, Borja(Universitat Politècnica de València, 2023-10-06)
[ES] Los modelos de lenguaje no han obtenido su popularidad solo por sus capacidades de generación de texto. También por la capacidad de aprendizaje que tienen. Se realiza una exploración de estas capacidades sobre el ...
Logo, Peter Laszlo(Universitat Politècnica de València, 2021-07-26)
[EN] In our everyday life, many things are done electronically, e-mails, buying different tickets, navigation, and so on. These devices must always work correctly. Linux-based routers are no exception. The devices create ...
This supplementary material serves as technical appendix of the paper When AI Difficulty is Easy: The Explanatory Power of Predicting IRT Difficulty (Martínez-Plumed
et al. 2022), published in The Thirty-Sixth AAAI ...
Cheng Liu, Juan Jianxin(Universitat Politècnica de València, 2023-10-31)
[ES] XAI, o "Explicabilidad de la Inteligencia Artificial", es un enfoque que desea solucionar el hecho
de que algunas de las decisiones tomadas por los sistemas de IA pueden resultar difíciles de
entender para los seres ...
Hernández-Orallo, José; Loe, Bao Sheng; Cheke, Lucy; Martínez-Plumed, Fernando; Heigeartaigh, Sean O.(Nature Publishing Group, 2021-11-24)
[EN] Success in all sorts of situations is the most classical interpretation of general intelligence. Under limited resources, however, the capability of an agent must necessarily be limited too, and generality needs to ...
Dowe, David L.; Hernández Orallo, José(SAGE Publications (UK and US), 2014-02)
[EN] The notion of a universal intelligence test has been recently advocated as a means to assess humans,
non-human animals and machines in an integrated, uniform way. While the main motivation has been the
development ...
Izquierdo Ayala, Pablo(Universitat Politècnica de València, 2019-09-26)
[EN] This research project elaborates a qualitative comparison between two different learning approaches, Reinforcement Learning (RL) and Inverse Reinforcement Learning (IRL) over the Gridworld Markov Decision Process. The ...
[EN] We address the novel question of determining which kind of machine learning model is behind the predictions when we interact with a black-box model. This may allow us to identify families of techniques whose models ...
Martínez Plumed, Fernando(Universitat Politècnica de València, 2016-07-07)
[EN] The stupefying success of Artificial Intelligence (AI) for specific problems, from recommender systems to self-driving cars, has not yet been matched with a similar progress in general AI systems, coping with a variety ...
Gulwani, Sumit; Hernández-Orallo, José; Kitzelmann, Emanuel; Muggleton, Stephen H.; Schmid, Ute; Zorn, Benjamin(Association for Computing Machinery (ACM), 2015-11)
[EN] Since most end users lack programming skills they often
spend considerable time and effort performing tedious and
repetitive tasks such as capitalizing a column of names manually.
Inductive Programming has a long ...
The evaluation of an ability or skill happens in some kind of testbed, and so does with social intelligence. Of course, not all testbeds are suitable for this matter. But, how can we be sure of their appropriateness? In ...