Browsing Data Science (DS) by Title
Now showing items 1-20 of 340
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A decision tree to assess short-term mortality after an emergency department visit for an exacerbation of COPD: A cohort study
(2015-12-31)Background: Creating an easy-to-use instrument to identify predictors of short-term (30/60-day) mortality after an exacerbation of chronic obstructive pulmonary disease (eCOPD) could help clinicians choose specific measures ... -
A modeling framework for optimizing the flow-level scheduling with time-varying channels
(2010-12-31)We introduce a comprehensive modeling framework for the problem of scheduling a finite number of finite-length jobs where the available service rate is time-varying. The main motivation comes from wireless data networks ... -
A nearly-optimal index rule for scheduling of users with abandonment
(2011-12-31)We analyze a comprehensive model for multi-class job scheduling accounting for user abandonment, with the objective of minimizing the total discounted or time-average sum of linear holding costs and abandonment penalties. ... -
An ACO-based Hyper-heuristic for Sequencing Many-objective Evolutionary Algorithms that Consider Different Ways to Incorporate the DM's Preferences
(2023-02-01)Many-objective optimization is an area of interest common to researchers, professionals, and practitioners because of its real-world implications. Preference incorporation into Multi-Objective Evolutionary Algorithms (MOEAs) ... -
An active adaptation strategy for streaming time series classification based on elastic similarity measures
(2022-05-21)In streaming time series classification problems, the goal is to predict the label associated to the most recently received observations over the stream according to a set of categorized reference patterns. In on-line ... -
Acute toxicity, bioaccumulation and effects of dietary 1 transfer of silver from brine 2 shrimps exposed to PVP/PEI-coated silver nanoparticles to zebrafish
(2017-03-18)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/PEI-coated ... -
Ad-Hoc Explanation for Time Series Classification
(2022)In this work, a perturbation-based model-agnostic explanation method for time series classification is presented. One of the main novelties of the proposed method is that the considered perturbations are interpretable and ... -
Adaptive Estimation of Distribution Algorithms for Low-Thrust Trajectory Optimization
(2023-08-02)A direct adaptive scheme is presented as an alternative approach for minimum-fuel low-thrust trajectory design in non-coplanar orbit transfers, utilizing fitness landscape analysis (FLA). Spacecraft dynamics is modeled ... -
An adaptive neuroevolution-based hyperheuristic
(2020)According to the No-Free-Lunch theorem, an algorithm that performs efficiently on any type of problem does not exist. In this sense, algorithms that exploit problem-specific knowledge usually outperform more generic ... -
AdaSwarm: Augmenting Gradient-Based Optimizers in Deep Learning with Swarm Intelligence
(2022-04-01)This paper introduces AdaSwarm, a novel gradient-free optimizer which has similar or even better performance than the Adam optimizer adopted in neural networks. In order to support our proposed AdaSwarm, a novel Exponentially ... -
Advances on Time Series Analysis using Elastic Measures of Similarity
(2020-07-23)A sequence is a collection of data instances arranged in a structured manner. When this arrangement is held in the time domain, sequences are instead referred to as time series. As such, each observation in a time series ... -
Age or lifestyle-induced accumulation of genotoxicity is associated with a length-dependent decrease in gene expression
(2023)DNA damage has long been advocated as a molecular driver of aging. DNA dam- age occurs in a stochastic manner, and is therefore more likely to accumulate in longer genes. The length-dependent accumulation of transcripti ... -
Aggregated outputs by linear models: An application on marine litter beaching prediction
(2019-01-01)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 ... -
Algorithms for Large Orienteering Problems
(2021-01)In this thesis, we have developed algorithms to solve large-scale Orienteering Problems. The Orienteering Problem is a combinatorial optimization problem were given a weighted complete graph with vertex profits and a maximum ... -
Altered effective connectivity in sensorimotor cortices: a novel signature of severity and clinical course in depression
(2021)Functional neuroimaging research on depression has traditionally targeted neural networks associated with the psychological aspects of depression. In this study, instead, we focus on alterations of sensorimotor function ... -
Alternative Representations for Codifying Solutions in Permutation-Based Problems
(2020-07-01)Since their introduction, Estimation of Distribution Algorithms (EDAs) have proved to be very competitive algorithms to solve many optimization problems. However, despite recent developments, in the case of permutation-based ... -
An empirical study on collective intelligence algorithms for video games problem-solving
(2015-12-31)Computational intelligence (CI), such as evolutionary computation or swarm intelligence methods, is a set of bio-inspired 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 multi-objective optimization of orbital maneuvers
(2017-03-27)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 high-thrust orbit transfers is that the common ... -
An Analysis of Coalition-Competition Pricing Strategies for Multi-Operator Mobile Traffic Offloading using Bi-objective Heuristics
(2017)In a competitive market relationships between telecommuni- cations operators serving simultaneously over a certain geographical area are diverse and motivated by very different business strategies and goals. Such relationships ... -
Analysis of Dominant Classes in Universal Adversarial Perturbations
(2022)The reasons why Deep Neural Networks are susceptible to being fooled by adversarial examples remains an open discussion. Indeed, many differ- ent strategies can be employed to efficiently generate adversarial attacks, some ...