Search Results - "Benitez, Jose"
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How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research
Published in Information & management (01-03-2020)“…•PLS-PM has been subject to many improvements in last years.•Prior PLS guidelines have not covered the entire recent developments.•We explain how to perform…”
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2
The mechanical behavior of skin: Structures and models for the finite element analysis
Published in Computers & structures (01-10-2017)“…Soft biological tissues are complex materials with a large structural variety, with differences in behavior, but with some common characteristics. Skin is an…”
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3
Removal and surface photocatalytic degradation of methylene blue on carbon nanostructures
Published in Diamond and related materials (01-11-2021)“…Removal and photodegradation of methylene blue on the surface of three distinct carbonaceous materials, pure and nitrogen-doped multi-walled carbon nanotubes,…”
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4
Fast‐mRMR: Fast Minimum Redundancy Maximum Relevance Algorithm for High‐Dimensional Big Data
Published in International journal of intelligent systems (01-02-2017)“…With the advent of large‐scale problems, feature selection has become a fundamental preprocessing step to reduce input dimensionality. The…”
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On the use of MapReduce for imbalanced big data using Random Forest
Published in Information sciences (20-11-2014)“…In this age, big data applications are increasingly becoming the main focus of attention because of the enormous increment of data generation and storage that…”
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A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation
Published in Information sciences (10-09-2015)“…•A background and exhaustive survey on fingerprint matching methods in the literature is presented.•A taxonomy of fingerprint minutiae-based methods is…”
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7
Cost-sensitive linguistic fuzzy rule based classification systems under the MapReduce framework for imbalanced big data
Published in Fuzzy sets and systems (01-01-2015)“…Classification with big data has become one of the latest trends when talking about learning from the available information. The data growth in the last years…”
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8
Clinical outcomes by infusion timing of immune checkpoint inhibitors in patients with advanced non-small cell lung cancer
Published in European journal of cancer (1990) (01-03-2023)“…We aimed to determine whether immune checkpoint inhibitors (ICI) time-of-day infusion might influence the survival of patients with advanced non-small cell…”
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9
On the usefulness of cross-validation for directional forecast evaluation
Published in Computational statistics & data analysis (01-08-2014)“…The usefulness of a predictor evaluation framework which combines a blocked cross-validation scheme with directional accuracy measures is investigated. The…”
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10
frbs : Fuzzy Rule-Based Systems for Classification and Regression in R
Published in Journal of statistical software (01-05-2015)“…Fuzzy rule-based systems (FRBSs) are a well-known method family within soft computing. They are based on fuzzy concepts to address complex real-world problems…”
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11
Diagnosing the severity of dry eye: a clear and practical algorithm
Published in British journal of ophthalmology (01-09-2014)“…Dry eye disease (DED) is a distressing ocular condition. Due to its multifactorial nature, clinical and biological signs of DED can be inconsistent and…”
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12
Empirical study of feature selection methods based on individual feature evaluation for classification problems
Published in Expert systems with applications (01-07-2011)“…The use of feature selection can improve accuracy, efficiency, applicability and understandability of a learning process and its resulting model. For this…”
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13
Bronchoalveolar Lavage Enzyme-linked Immunospot for a Rapid Diagnosis of Tuberculosis: A Tuberculosis Network European Trialsgroup Study
Published in American journal of respiratory and critical care medicine (01-10-2009)“…The rapid diagnosis of pulmonary tuberculosis (TB) is difficult when acid fast bacilli (AFB) cannot be detected in sputum smears. Following a proof of…”
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The LIPI score and inflammatory biomarkers for selection of patients with solid tumors treated with checkpoint inhibitors
Published in The quarterly journal of nuclear medicine and molecular imaging (01-06-2020)“…Over the last decade, immune checkpoint inhibitors (ICI) have completely changed the treatment strategy and the prognosis of several solid cancer types. There…”
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15
Segmentation of cervical cell nuclei in high-resolution microscopic images: A new algorithm and a web-based software framework
Published in Computer methods and programs in biomedicine (01-09-2012)“…Highlights ► A system for semi-automatic processing of full-resolution whole-slide scans.► A new algorithm for segmenting the nuclei under control of the…”
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Data discretization: taxonomy and big data challenge
Published in Wiley interdisciplinary reviews. Data mining and knowledge discovery (01-01-2016)“…Discretization of numerical data is one of the most influential data preprocessing tasks in knowledge discovery and data mining. The purpose of attribute…”
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On the use of convolutional neural networks for robust classification of multiple fingerprint captures
Published in International journal of intelligent systems (01-01-2018)“…Fingerprint classification is one of the most common approaches to accelerate the identification in large databases of fingerprints. Fingerprints are grouped…”
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18
A simple and efficient numerical procedure to compute the inverse Langevin function with high accuracy
Published in Journal of non-Newtonian fluid mechanics (01-11-2018)“…The inverse Langevin function is a fundamental part of the statistical chain models used to describe the behavior of polymeric-like materials, appearing also…”
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19
Tear Osmolarity in the Diagnosis and Management of Dry Eye Disease
Published in American journal of ophthalmology (01-05-2011)“…Purpose To evaluate the use of tear osmolarity in the diagnosis of dry eye disease. Design A prospective, observational case series to determine the clinical…”
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20
Out-of-distributional risk bounds for neural operators with applications to the Helmholtz equation
Published in Journal of computational physics (15-09-2024)“…Despite their remarkable success in approximating a wide range of operators defined by PDEs, existing neural operators (NOs) do not necessarily perform well…”
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