[EN] The progression in several cognitive tests for the same subjects at different ages provides valuable information about their cognitive development. One question that has caught recent interest is whether the same ...
A more effective vision of machine learning systems entails tools that are able to improve task after task and to reuse the patterns and knowledge that are acquired previously for future tasks. This incremental, long-life ...
Hernández-Orallo, José; Baroni, Marco; Bieger, Jordi; Chmait, Nader; Dowe, David L; Hofmann, Katja; Martínez-Plumed, Fernando; Strannegard, Claes; Thorissons, Kristinn R.(Association for the Advancement of Artificial Intelligence (AAAI), 2017)
[EN] We report on a series of new platforms and events dealing with AI evaluation that may change the way in which AI systems are compared and their progress is measured. The introduction of a more diverse and challenging ...
Cardona Maroto, Iván(Universitat Politècnica de València, 2019-10-14)
[ES] La extracción de datos bibliográficos como publicaciones científicas provenientes de
distintos orígenes de datos, y el posterior análisis de los resultados obtenidos, es un método muy
utilizado por investigadores ...
Martínez Plumed, Fernando(Universitat Politècnica de València, 2012-01-25)
Este trabajo presenta un nuevo método de inducción de árboles de decisión, los Newton Trees (o Árboles de Estimación Estocástica de Probabilidades).
Se trata de una redefinición de los árboles de decisión tradicionales ...
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 ...
Effcient and clean urban mobility is a key factor in quality of life and sustainability of towns and cities. Traditionally, cities have focused on cars and other fuel-based vehicles as transport means. However, several ...
Albiñana Matilla, Silvia(Universitat Politècnica de València, 2020-01-03)
[ES] La movilidad urbana eficiente y limpia es un factor clave de la calidad de vida y la sostenibilidad de las ciudades. El objetivo de este trabajo se centra en el estudio, análisis y utilización de datos abiertos acerca ...
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 ...
[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(Sociedad Iberoamericana de Inteligencia Artificial (IBERAMIA), 2017-02-24)
[EN] The stupefying success of Articial Intelligence (AI) for specic 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 ...
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 ...
[EN] AI systems are usually evaluated on a range of problem instances and compared to other AI systems that use different strategies. These instances are rarely independent. Machine learning, and supervised learning in ...
Martínez Plumed, Fernando; Ferri Ramírez, César; Hernández Orallo, José; Ramírez Quintana, María José(SAGE Publications (UK and US), 2015-10)
Identifying the balance between remembering and forgetting is the key to abstraction
in the human brain and, therefore, the creation of memories and knowledge. We
present an incremental, lifelong view of knowledge ...
Talens Ferrer, Raúl(Universitat Politècnica de València, 2020-12-10)
[ES] Este trabajo plantea dos estudios que analizan la relación entre la COVID-19 y las menciones relacionadas con la pandemia en la red social Twitter. Más concretamente, en el primer estudio realizaremos un análisis de ...
In this paper, we push forward the idea of machine learning
systems for which the operators can be modi ed and netuned for each
problem. This allows us to propose a learning paradigm where users can
write (or adapt) ...
[EN] Here we present a summary of the Ph.D. thesis entitled
¿Incremental and developmental perspectives for generalpurpose
learning systems¿ which has been recently defended by
the author.
[Otros] The current analysis in the AI safety literature usually combines a risk or safety issue (e.g., interruptibility) with a particular paradigm for an AI agent (e.g., reinforcement learning).
However, there is currently ...