Browsing Data Science (DS) by Title
Now showing items 120 of 155

A decision tree to assess shortterm mortality after an emergency department visit for an exacerbation of COPD: A cohort study
(Respiratory Research, 20151231)Background: Creating an easytouse instrument to identify predictors of shortterm (30/60day) mortality after an exacerbation of chronic obstructive pulmonary disease (eCOPD) could help clinicians choose specific measures ... 
A modeling framework for optimizing the flowlevel scheduling with timevarying channels
(Performance Evaluation, 20101231)We introduce a comprehensive modeling framework for the problem of scheduling a finite number of finitelength jobs where the available service rate is timevarying. The main motivation comes from wireless data networks ... 
A nearlyoptimal index rule for scheduling of users with abandonment
(Proceedings  IEEE INFOCOM, 20111231)We analyze a comprehensive model for multiclass job scheduling accounting for user abandonment, with the objective of minimizing the total discounted or timeaverage sum of linear holding costs and abandonment penalties. ... 
Acute toxicity, bioaccumulation and effects of dietary 1 transfer of silver from brine 2 shrimps exposed to PVP/PEIcoated silver nanoparticles to zebrafish
(Comparative Biochemistry and Physiology  part C: Toxicology & Pharmacology, 20170318)The extensive use and release to the aquatic environment of silver nanoparticles (NPs) could lead to their incorporation into the food web. Brine shrimp larvae of 24 h showed low sensitivity to the exposure to PVP/PEIcoated ... 
Aggregated outputs by linear models: An application on marine litter beaching prediction
(Information Sciences, 20190101)In regression, a predictive model which is able to anticipate the output of a new case is learnt from a set of previous examples. The output or response value of these examples used for model training is known. When learning ... 
An empirical study on collective intelligence algorithms for video games problemsolving
(Computing and Informatics, 20151231)Computational intelligence (CI), such as evolutionary computation or swarm intelligence methods, is a set of bioinspired algorithms that have been widely used to solve problems in areas like planning, scheduling or ... 
Analysis of a hybrid Genetic Simulated Annealing strategy applied in multiobjective optimization of orbital maneuvers
(IEEE Aerospace and Electronic Systems Magazine, 20170327)Optimization of orbital maneuvers is one of the main issues in conceptual and preliminary design of spacecraft in different space missions. The main issue in optimization of highthrust orbit transfers is that the common ... 
Analyzing rare event, anomaly, novelty and outlier detection terms under the supervised classification framework
(Artificial Intelligence Review, 20190901)In recent years, a variety of research areas have contributed to a set of related problems with rare event, anomaly, novelty and outlier detection terms as the main actors. These multiple research areas have created a ... 
Anatomy of the attraction basins: Breaking with the intuition
(Evolutionary Computation, 2019)olving combinatorial optimization problems efficiently requires the development of algorithms that consider the specific properties of the problems. In this sense, local search algorithms are designed over a neighborhood ... 
Anxiety and depressive symptoms are related to core symptoms, general helath outcome and medical comorbidities in eating disorders
(European Eating Disorders Review, 201904)Objective: The goal of this study is to identify potential factors that have a significant effect on anxiety and depression of patients with eating disorders (ED) using the betabinomial regression (BBR) approach on a broad ... 
Approaching the Quadratic Assignment Problem with Kernels of Mallows Models under the Hamming Distance
(Proceedings of the Genetic and Evolutionary Computation Conference Companion, 201907)The Quadratic Assignment Problem (QAP) is a specially challenging permutationbased nphard combinatorial optimization problem, since instances of size $n>40$ are seldom solved using exact methods. In this sense, many ... 
Are the artificially generated instances uniform in terms of difficulty?
(IEEE Congress on Evolutionary Computation, 201806)In the field of evolutionary computation, it is usual to generate artificial benchmarks of instances that are used as a testbed to determine the performance of the algorithms at hand. In this context, a recent work on ... 
Asymptotically optimal parallel resource assignment with interference
(Queueing Systems, 20101231)Motivated by scheduling in cellular wireless networks and resource allocation in computer systems, we study a service facility with two classes of users having heterogeneous service requirement distributions. The aggregate ... 
Bayesian inference for algorithm ranking analysis
(GECCO 2018 Companion  Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion 6 July 2018, Pages 324325, 20180830)The statistical assessment of the empirical comparison of algorithms is an essential step in heuristic optimization. Classically, researchers have relied on the use of statistical tests. However, recently, concerns about ... 
Bayesian nonparametric inference for the covariateadjusted ROC curve
(20180530)Accurate diagnosis of disease is of fundamental importance in clinical practice and medical research. Before a medical diagnostic test is routinely used in practice, its ability to distinguish between diseased and nondiseased ... 
Belief Condensation Filtering For RssiBased State Estimation In Indoor Localization
(2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019)Recent advancements in signal processing and communication systems have resulted in evolution of an intriguing concept referred to as Internet of Things (IoT). By embracing the IoT evolution, there has been a surge of ... 
A betabinomial mixedeffects model approach for analysing longitudinal discrete and bounded outcomes
(Biometrical Journal, 201805)Patientreported outcomes (PROs) are currently being increasingly used as primary outcome measures in observational and experimental studies since they inform clinicians and researchers about the healthstatus of patients ... 
Bootstrapbased procedures for inference in nonparametric receiveroperating characteristic curve regression analysis
(Statistical Methods in Medical Research, 2017)Prior to using a diagnostic test in a routine clinical setting, the rigorous evaluation of its diagnostic accuracy is essential. The receiveroperating characteristic curve is the measure of accuracy most widely used for ... 
Bootstrapbased procedures for inference in nonparametric ROC regression analysis
(20160630)Before the use of a diagnostic test in a routine clinical setting, the rigorous evaluation of its diagnostic accuracy is an essential step. The receiver operating characteristic (ROC) curve is the measure of accuracy most ... 
Calibration Model Maintenance in Melamine Resin Production: Integrating Drift Detection, Smart Sample Selection and Model Adaptation
(Analytica Chimica Acta, 2018)The physicochemical properties of Melamine Formaldehyde (MF) based thermosets are largely influenced by the degree of polymerization (DP) in the underlying resin. Online supervision of the turbidity point by means of ...