Data driven
Meat, beyond the plate: data-driven hypotheses for understanding consumer willingness to adopt a more plant-based diet
... This is the peer reviewed version of the following article: Graça, J., Oliveira, A. & Calheiros, M. M. (2015). Meat, beyond the plate: data-driven hypotheses for understanding consumer willingness to ...
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Data-Driven Gradient Descent Direct Adaptive Control for Discrete-Time Nonlinear SISO Systems
... ONTROL means decision making. In order to decide well, one has to have a goal, as well as, information on a controlled process and process environment. Within automatic control setup, the goal specifies desired behavior ...
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Data-Driven Engineering of Social Dynamics: Pattern Matching and Profit Maximization.
... incorporating a deep learning model, we derive a solution using convex relaxation and qua- dratic-programming transformation. Moreover, we propose a data-driven evaluation method in place of the expensive ...
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Ideal point error for model assessment in data-driven river flow forecasting
... for data-driven modellers to assess the performance of their models against a large number of different metrics with a host of different combinations potentially being applied to a particular solution ...
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A priori data-driven multi-clustered reservoir generation algorithm for echo state network.
... priori data available. Accordingly, a priori data-driven multi-cluster reservoir generation algorithm is ...priori data in the proposed algorithm are used to evaluate reservoirs by calculating ...
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A data-driven approach to predict the success of bank telemarketing
... as data warehouses and data mining (DM), to support decision making using business data ...a data-driven model that learns an unknown underlying function that maps several input ...
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Diagnostic criteria for depression in type 2 diabetes: a data-driven approach.
... a data- driven approach, as well as to examine the overlap with ...baseline data from community-based participants of the Fremantle Diabetes Study Phase II (FDS2) [15], and used latent class analysis ...
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A data-driven compensation scheme for last-mile delivery with crowdsourcing
... novel data-driven compensation scheme that combines machine learning with ...optimization. Data collection is performed to infer on people’s disposition to engage in a crowdsourcing activity by ...
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Probing the dynamics of identified neurons with a data-driven modeling approach.
... future data- driven models in computational neuroscience. Using data fitting or automatic parameters estimation techniques for building data- driven models of elements of the nervous ...
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Data-driven asthma endotypes defined from blood biomarker and gene expression data.
... (endotypes) driven by genetic susceptibility and modulating environmental ...purely data-driven ...marker data was essential in interpreting gene expression patterns and identifying putative ...
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Using data-driven model-brain mappings to constrain formal models of cognition.
... fitting data we made a priori fMRI predictions for this ...all data in this case; instead, our aim was to provide an example of how fMRI data can be used to inform cognitive models (using the model ...
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Autocodecovergen: Prototype Of Data Driven Unit Test Genration Tool That Guarantees 100% Code Coverage For C#
... do data driven testing, inject data from rows of a table ...provides data driven testing and tool uses this ability to generate unit tests ...the data source of generated ...
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Data driven decision support systems as a critical success factor for IT-Governance: an application in the financial sector
... I would also like to thank the enormous support I have received from my colleagues at the company I work for: Nicolau Romão and Joaquim Calhau for making my studies financially possible and for giving me the time and ...
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Testing the Utility of a Data-Driven Approach for Assessing BMI from Face Images.
... "bottom-up”, data- driven approach in which models are built using the Principal Components (PCs) derived from objectively defined shape and color characteristics of the face images to find the model ...
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ENCIA DATA-DRIVEN PARA A ESTAT´ ISTICA ESPACIAL SCAN EM CASOS DO DIABETES NO ESTADO DE MINAS GERAIS
... Nesta an´alise de caso, considerando os dados do Diabetes no estado de Minas Gerais, podemos concluir que em trˆes solu¸c˜oes compostas cada uma por um munic´ıpio (Urucˆania, Arapor˜a e Patos de Minas) foram consideradas ...
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Feature selection strategies for improving data-driven decision support in bank telemarketing
... explored data-driven models for modeling bank telemarketing ...The data was collected from an Iran bank, with a total of 22,427 customers related with a six month period, from January to July of ...
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Data-driven catchment classification: application to the pub problem
... uncertainty of hydrological predictions in ungauged sites; we strongly encourage to perform PCA, and in particular CCA, on the available set of catchment descriptors before apply- ing SOM; (iii) catchment classification ...
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ENCIA DATA-DRIVEN AO SCAN EL´IPTICO PARA AVALIAC
... Resumo: A estat´ıstica Scan Espacial ´e comumente usada para detec¸c˜ ao de clusters geogr´ aficos, vigilˆ ancia sindrˆ omica e monitoramento de doen¸cas. A forma de utiliza¸c˜ ao mais difundida ´e o Scan Circular, ...
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Data-driven inference for the spatial scan statistic
... The data-driven inference could be applied to case/ controls point data set clusters, taking into account the number of cases and the population inside the ...the data-driven inference ...
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Data-Driven Forecasting Schemes: Evaluation and Applications
... Abstract: A reliable multi-step predictor is very useful to a wide array of applications to forecast the behavior of dynamic systems. The objective of this paper is to develop a more robust data-driven ...
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