Muinelo Monteagudo, Javier(Universitat Politècnica de València, 2022-10-13)
[CA] L’anàlisi de Lliçons Apreses en els plans de qualsevol empresa, entitat o institució és cada vegada més comuna. Este estudi permet extraure coneixement d’experiències, tant positives com negatives, obtingudes durant ...
Adversarial benchmark construction, where harder instances challenge new generations of AI systems, is becoming the norm. While this approach may lead to better machine learning models ---on average and for the new ...
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 ...
[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, ...
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 ...
[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] 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 ...
[EN] Nowadays, there is an increasing concern in machine learning about the causes underlying unfair decision making, that is, algorithmic decisions discriminating some groups over others, especially with groups that are ...
Romero Alvarado, Daniel(Universitat Politècnica de València, 2023-09-19)
[ES] Los grandes modelos de lenguaje natural suelen ser entrenados con datasets pretratados y
limpiados de impurezas como faltas de ortografía, contracciones, etc. Por lo tanto, existe una
diferencia entre los datos de ...
[EN] The widespread use of experimental benchmarks in AI research has created competition and collaboration dynamics that are still poorly understood. Here we provide an innovative methodology to explore these dynamics and ...
[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.
[EN] 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 ...
Mompó Serrano, Alfredo(Universitat Politècnica de València, 2022-01-03)
[ES] La ciencia de datos es una disciplina que intenta obtener conocimiento nuevo a partir
de grandes cantidades de datos. Esta disciplina cuenta con innumerables aplicaciones
en los sectores económicos secundario y ...