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Recent Submissions
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Generating fake data using GANs for anonymizing healthcare data
(Springer, 2020)
Conference report
Restricted access - publisher's policyEDITH is a project aiming to orchestrate an ecosystem of manipulation of reliable and safe data, applied to the field of health, proposing the creation of digital twins for personalised healthcare. This paper elaborates ... -
Anonymizing personal images using generative adversarial networks
(Springer, 2020)
Conference lecture
Restricted access - publisher's policyThis paper introduces a first approach on using Generative Adversarial Networks (GANs) for the generation of fake images, with the objective of anonymizing patients information in the health sector. This is intended to ... -
Developing a socially-aware robot assistant for delivery tasks
(Springer, 2019)
Conference report
Open AccessThis paper discusses about elements to be considered for developing a Service Robot that performs its task in a social environment. Due to the social focus of the service, not only technical considerations are demanded in ... -
Convolutional neural network training with dynamic epoch ordering
(IOS Press, 2019)
Conference lecture
Restricted access - publisher's policyThe paper presented exposes a novel approach to feed data to a Convolutional Neural Network (CNN) while training. Normally, neural networks are fed with shuffled data without any control of what type of examples contains ... -
A Comparison of autonomous vehicle navigation simulators under regulatory and reinforcement learning constraints
(IOS Press, 2019)
Conference lecture
Restricted access - publisher's policyThe transition from conventional vehicles to autonomous vehicles is regulated thorough ADAS (Advanced Driver Assistance Systems) functionalities. The combination of different ADAS functions allows vehicles navigate on a ... -
Towards a healthcare digital twin
(IOS Press, 2019)
Conference lecture
Restricted access - publisher's policyThe main aim of this short position paper is to introduce a proposal to orchestrate an ecosystem of manipulation of reliable and safe data, applied to the field of health, proposing the creation of digital twins for ... -
A consensus degree for hesitant fuzzy linguistic decision making
(Institute of Electrical and Electronics Engineers (IEEE), 2017)
Conference lecture
Restricted access - publisher's policyThis paper proposes a measure of consensus for group decision making in the hesitant fuzzy linguistic term sets framework. An extension of the set of hesitant fuzzy linguistic term sets is considered to capture differences ... -
Using qualitative reasoning to evaluate performance: an application in the retail sector
(2016)
Conference lecture
Restricted access - publisher's policyThis paper offers a new method inspired by classic importance-performance analysis (IPA) that provides a global index of importance versus performance for firms together with a new version of the IPA diagram. The index ... -
From qualitative absolute order-of-magnitude to the extended set of Hesitant Fuzzy Linguistic Term Sets
(2016)
Conference report
Restricted access - publisher's policyHesitant fuzzy linguistic term sets were introduced to grasp the uncertainty existing in human reasoning. In this paper, inspired by absolute order-of-magnitude qualitative reasoning techniques, an extension of the set ... -
Motion intention optimization for multirotor robust video stabilization
(IEEE Press, 2017)
Conference report
Open AccessIn this paper we present an optimization algorithm for simultaneously detecting video freeze and obtaining the minimum number of the frame required in motion intention estimation for real time robust video stabilization ... -
On dynamical systems for sensorimotor contingencies. A first approach from control engineering
(IOS Press, 2017)
Conference report
Open AccessAccording to the sensorimotor approach, cognition is constituted by regularities in the perceptual experiences of an active and situated agent. This perspective rejects traditional inner representational models, stressing ... -
Multivariate Regression with Incremental Learning of Gaussian Mixture Models
(IOS Press, 2017)
Conference report
Open AccessWithin the machine learning framework, incremental learning of multivariate spaces is of special interest for on-line applications. In this work, the regression problem for multivariate systems is solved by implementing ...
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