Browsing Data Science (DS) by Title
Now showing items 21-40 of 155
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Cancer incidence among children and young adults who have undergone x-ray guided cardiac catheterization procedures
(European Journal of Epidemiology, 2018-01-18)Children and young adults with heart disease appear to be at increased risk of developing cancer, although the reasons for this are unclear. A cohort of 11,270 individuals, who underwent cardiac catheterizations while aged ... -
CCN interest forwarding strategy as Multi-Armed Bandit model with delays
(NetGCoop 2012 - 6th International Conference on Network Games, Control and Optimization, 2012-12-31)We consider Content Centric Network (CCN) interest forwarding problem as a Multi-Armed Bandit (MAB) problem with delays. We investigate the transient behaviour of the ε-greedy, tuned ε-greedy and Upper Confidence Bound ... -
Characterising the rankings produced by combinatorial optimisation problems and finding their intersections
(GECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference, 2019)The aim of this paper is to introduce the concept of intersection between combinatorial optimisation problems. We take into account that most algorithms, in their machinery, do not consider the exact objective function ... -
Chronic obstructive pulmonary disease subtypes. transitions over time
(PLoS ONE, 2016-10-30)Background Although subtypes of chronic obstructive pulmonary disease are recognized, it is unknown what happens to these subtypes over time. Our objectives were to assess the stability of cluster-based subtypes in patients ... -
Closed queueing networks under congestion: Nonbottleneck independence and bottleneck convergence
(Mathematics of Operations Research, 2013-12-31)We analyze the behavior of closed multiclass product-form queueing networks when the number of customers grows to infinity and remains proportionate on each route (or class). First, we focus on the stationary behavior and ... -
Combining statistical techniques to predict post-surgical risk of 1-year mortality for patients with colon cancer
(Clinical Epidemiology, 2018-03-06)Introduction: Colorectal cancer is one of the most frequently diagnosed malignancies and a common cause of cancer-related mortality. The aim of this study was to develop and validate a clinical predictive model for1-year ... -
Comparative study of pheromone control heuristics in ACO algorithms for solving RCPSP problems
(Applied Soft Computing, 2017-11)Constraint Satisfaction Problems (CSP) belong to a kind of traditional NP-hard problems with a high impact on both research and industrial domains. The goal of these problems is to find a feasible assignment for a group ... -
Comparison of beta-binomial regression model approaches to analyze health related quality of life data
(Statistical Methods in Medical Research, 2017-01-05)Health related quality of life (HRQoL) has become an increasingly important indicator of health status in clinical trials and epidemiological research. Moreover, the study of the relationship of HRQoL with patients' and ... -
Comparison of two discrimination indexes in the categorisation of continuous predictors in time-to-event studies
(SORT (Statistics and Operations Research Transactions), 2017-04)The Cox proportional hazards model is the most widely used survival prediction model for analysing timeto-event data. To measure the discrimination ability of a survival model the concordance probability index is widely ... -
Competition yields efficiency in load balancing games
(Performance Evaluation, 2011-12-31)We study a nonatomic congestion game with N parallel links, with each link under the control of a profit maximizing provider. Within this 'load balancing game', each provider has the freedom to set a price, or toll, for ... -
A Computer Application to Predict Adverse Events in the Short-Term Evolution of Patients With Exacerbation of Chronic Obstructive Pulmonary Disease
(JMIR MEDICAL INFORMATICS, 2018)Background: Chronic obstructive pulmonary disease (COPD) is a common chronic disease. Exacerbations of COPD (eCOPD) contribute to the worsening of the disease and the patient’s evolution. There are some clinical prediction ... -
Congestion control of TCP flows in Internet routers by means of index policy
(Computer Networks, 2013-12-31)In this paper we address the problem of fast and fair transmission of flows in a router, which is a fundamental issue in networks like the Internet. We model the interaction between a source using the Transmission Control ... -
Convergence of trajectories and optimal buffer sizing for AIMD congestion control
(Performance Evaluation, 2010-12-31)We study the interaction between the AIMD (Additive Increase Multiplicative Decrease) multi-socket congestion control and a bottleneck router with Drop Tail buffer. We consider the problem in the framework of deterministic ... -
Convergence of trajectories and optimal buffer sizing for MIMD congestion control
(Computer Communications, 2010-12-31)We study the interaction between the MIMD (Multiplicative Increase Multiplicative Decrease) congestion control and a bottleneck router with Drop Tail buffer. We consider the problem in the framework of deterministic hybrid ... -
COPD classification models and mortality prediction capacity
(International Journal of COPD, 2019)Our aim was to assess the impact of comorbidities on existing COPD prognosis scores. Patients and methods: A total of 543 patients with COPD (FEV1 < 80% and FEV1/ FVC <70%) were included between January 2003 and January ... -
Correcting for spatial heterogeneity in plant breeding experiments with P-splines
(Spatial Statistics, 2017-10-27)An important aim of the analysis of agricultural field experiments is to obtain good predictions for genotypic performance, by correcting for spatial effects. In practice these corrections turn out to be complicated, since ... -
Cost-efficient deployment of multi-hop wireless networks over disaster areas using multi-objective meta-heuristics
(Neurocomputing, 2017-07)Nowadays there is a global concern with the growing frequency and magnitude of natural disasters, many of them associated with climate change at a global scale. When tackled during a stringent economic era, the allocation ... -
Crowd Learning with Candidate Labeling: an EM-based Solution
(Conference of the Spanish Association for Artificial Intelligence, 2018-09-27)Crowdsourcing is widely used nowadays in machine learning for data labeling. Although in the traditional case annotators are asked to provide a single label for each instance, novel approaches allow annotators, in case ... -
Crowd-Centric Counting via Unsupervised Learning
(2019 IEEE International Conference on Communications Workshops (ICC Workshops), 2019-07-11)Counting targets (people or things) within a moni-tored area is an important task in emerging wireless applications,including those for smart environments, safety, and security.Conventional device-free radio-based ... -
Data generation approaches for topic classification in multilingual spoken dialog systems
(ACM International Conference Proceeding Series, 2019)The conception of spoken-dialog systems (SDS) usually faces the problem of extending or adapting the system to multiple languages. This implies the creation of modules specically for the new languages, which is a time ...