Zobrazeno 1 - 10
of 13 055
pro vyhledávání: '"Aguila, A."'
Autor:
Ijishakin, Ayodeji, Aguila, Ana Lawry, Levitis, Elizabeth, Abdulaal, Ahmed, Altmann, Andre, Cole, James
Combining neuroimaging datasets from multiple sites and scanners can help increase statistical power and thus provide greater insight into subtle neuroanatomical effects. However, site-specific effects pose a challenge by potentially obscuring the bi
Externí odkaz:
http://arxiv.org/abs/2408.15890
Networked systems usually face different random uncertainties that make the performance of the least-squares (LS) linear filter decline significantly. For this reason, great attention has been paid to the search for other kinds of suboptimal estimato
Externí odkaz:
http://arxiv.org/abs/2408.13224
Publikováno v:
International Journal of Systems Science, March 19 2024
This paper discusses the problem of estimating a stochastic signal from nonlinear uncertain observations with time-correlated additive noise described by a first-order Markov process. Random deception attacks are assumed to be launched by an adversar
Externí odkaz:
http://arxiv.org/abs/2405.05157
Non-prehensile planar pushing is a challenging task due to its underactuated nature with hybrid-dynamics, where a robot needs to reason about an object's long-term behaviour and contact-switching, while being robust to contact uncertainty. The presen
Externí odkaz:
http://arxiv.org/abs/2403.17667
Autor:
Aguila, Ana Lawry, Altmann, Andre
There has been a growing interest in recent years in modelling multiple modalities (or views) of data to for example, understand the relationship between modalities or to generate missing data. Multi-view autoencoders have gained significant traction
Externí odkaz:
http://arxiv.org/abs/2403.07456
Autor:
Domínguez-Ríos, Miguel Ángel, Chicano, Francisco, Alba, Enrique, del Águila, Isabel María, del Sagrado, José
Publikováno v:
J. Sys. Soft. 156: 217-231 (2019)
The Next Release Problem consists in selecting a subset of requirements to develop in the next release of a software product. The selection should be done in a way that maximizes the satisfaction of the stakeholders while the development cost is mini
Externí odkaz:
http://arxiv.org/abs/2402.04586
Autor:
del Sagrado, J., del Águila, I. M.
Publikováno v:
Software Qual J 26 (2018) 585-605
Complex decision-making is a prominent aspect of Requirements Engineering. This work presents the Bayesian network Requisites that predicts whether the requirements specification documents have to be revised. We show how to validate Requisites by mea
Externí odkaz:
http://arxiv.org/abs/2401.12636
Publikováno v:
Requirements Engineering 26 (2021) 167-184
Requirements selection is a decision-making process that enables project managers to focus on the deliverables that add most value to the project outcome. This task is performed to define which features or requirements will be developed in the next r
Externí odkaz:
http://arxiv.org/abs/2401.12634
The Canonical Correlation Analysis (CCA) family of methods is foundational in multiview learning. Regularised linear CCA methods can be seen to generalise Partial Least Squares (PLS) and be unified with a Generalized Eigenvalue Problem (GEP) framewor
Externí odkaz:
http://arxiv.org/abs/2310.01012
A major challenge in imaging genetics and similar fields is to link high-dimensional data in one domain, e.g., genetic data, to high dimensional data in a second domain, e.g., brain imaging data. The standard approach in the area are mass univariate
Externí odkaz:
http://arxiv.org/abs/2309.07352