Browsing Data Science (DS) by Title
Now showing items 21-40 of 141
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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 ... -
Decentralized proportional load balancing
(SIAM Journal on Applied Mathematics, 2016-01-01)Load balancing is a powerful technique commonly used in communication and computer networks to improve system performance, robustness and fairness. In this paper, we consider a general model capturing the performance of ... -
Detection of non-technical losses in smart meter data based on load curve profiling and time series analysis
(Energy, 2017-06)The advent and progressive deployment of the so-called Smart Grid has unleashed a profitable portfolio of new possibilities for an efficient management of the low-voltage distribution network supported by the introduction ... -
Detection of Sand Dunes on Mars Using a Regular Vine-based Classification Approach
(Knowledge- Based Systems, 2018-08)This paper deals with the problem of detecting sand dunes from remotely sensed images of the surface of Mars. We build on previous approaches that propose methods to extract informative features for the classification of ... -
Dicentric dose estimates for patients undergoing radiotherapy in the RTGene study to assess blood dosimetric models and the new Bayesian method for gradient exposure
(2018-06-01)The RTGene study was focused on the development and validation of new transcriptional biomarkers for prediction of individual radiotherapy (RT) patient responses to ionising radiation (IR). In parallel, for validation ... -
Distance-based exponential probability models on constrained combinatorial optimization problems
(GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion, 2018-08-30)Estimation of distribution algorithms have already demonstrated their utility when solving a broad range of combinatorial problems. However, there is still room for methodological improvements when approaching constrained ... -
Early classification of time series by simultaneously optimizing the accuracy and earliness
(IEEE Transactions on Neural Networks and Learning Systems, 2017-10)The problem of early classi cation of time series appears naturally in contexts where the data, of temporal nature, is collected over time, and early class predictions are interesting or even required. The objective is to ... -
Early classification of time series using multi-objective optimization techniques
(Information Sciences, 2019-04-23)In early classification of time series the objective is to build models which are able to make class-predictions for time series as accurately and as early as possible, when only a part of the series is available. It is ...