Search Results - "Cruz, Rafael"
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Dynamic classifier selection: Recent advances and perspectives
Published in Information fusion (01-05-2018)“…•An updated taxonomy of Dynamic Selection techniques is proposed.•A review of the state-of-the-art dynamic selection techniques is presented.•Empirical…”
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META-DES: A dynamic ensemble selection framework using meta-learning
Published in Pattern recognition (01-05-2015)“…Dynamic ensemble selection systems work by estimating the level of competence of each classifier from a pool of classifiers. Only the most competent ones are…”
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3
Cortical spheroids show strain-dependent cell viability loss and neurite disruption following sustained compression injury
Published in PloS one (19-08-2024)“…Sustained compressive injury (SCI) in the brain is observed in numerous injury and pathological scenarios, including tumors, ischemic stroke, and traumatic…”
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4
Cellular mechanical properties reflect the differentiation potential of adipose-derived mesenchymal stem cells
Published in Proceedings of the National Academy of Sciences - PNAS (12-06-2012)“…The mechanical properties of adipose-derived stem cell (ASC) clones correlate with their ability to produce tissue-specific metabolites, a finding that has…”
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META-DES.Oracle: Meta-learning and feature selection for dynamic ensemble selection
Published in Information fusion (01-11-2017)“…•10 new sets of meta-features to measure the competence of a classifier are proposed.•A meta-feature selection scheme is proposed based on the formal…”
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A study on combining dynamic selection and data preprocessing for imbalance learning
Published in Neurocomputing (Amsterdam) (19-04-2018)“…In real life, classifier learning may encounter a dataset in which the number of instances of a given class is much higher than for other classes. Such…”
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A mechanics theory for the exploration of a high-throughput, sterile 3D in vitro traumatic brain injury model
Published in Biomechanics and modeling in mechanobiology (01-08-2024)“…Brain injuries resulting from mechanical trauma represent an ongoing global public health issue. Several in vitro and in vivo models for traumatic brain injury…”
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The choice of scaling technique matters for classification performance
Published in Applied soft computing (01-01-2023)“…Dataset scaling, also known as normalization, is an essential preprocessing step in a machine learning pipeline. It is aimed at adjusting attributes scales in…”
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Plant Pigments: Classification, Extraction, and Challenge of Their Application in the Food Industry
Published in Food and bioprocess technology (01-12-2023)“…Color is one of the main sensory properties in the food industry. Currently, there is a global interest to replace synthetic colorants with natural compounds…”
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10
Fake news detection: Taxonomy and comparative study
Published in Information fusion (01-03-2024)Get full text
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11
Collagenous colitis incomplete triggered by SARS‐CoV‐2 infection
Published in Histopathology (01-07-2023)Get full text
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Meta-Scaler: A Meta-Learning Framework for the Selection of Scaling Techniques
Published in IEEE transaction on neural networks and learning systems (26-02-2024)“…Dataset scaling, a.k.a. normalization, is an essential preprocessing step in a machine learning (ML) pipeline. It aims to adjust the scale of attributes in a…”
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13
A white-box analysis on the writer-independent dichotomy transformation applied to offline handwritten signature verification
Published in Expert systems with applications (15-09-2020)“…High number of writers, small number of training samples per writer with high intra-class variability and heavily imbalanced class distributions are among the…”
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14
Resampling strategies for imbalanced regression: a survey and empirical analysis
Published in The Artificial intelligence review (04-03-2024)“…Imbalanced problems can arise in different real-world situations, and to address this, certain strategies in the form of resampling or balancing algorithms are…”
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A scalable dynamic ensemble selection using fuzzy hyperboxes
Published in Information fusion (01-02-2024)“…Dynamic ensemble selection (DES) systems work by estimating the level of competence of each classifier from a pool of classifiers and selecting the most…”
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Security Relevant Methods of Android's API Classification: A Machine Learning Empirical Evaluation
Published in IEEE transactions on computers (01-11-2023)“…The Android operating system provides functions and methods to handle sensitive data to secure users' data. The Android security literature extracts binary…”
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Serum miRNAs miR-140-3p and miR-23b-3p as potential biomarkers for osteoporosis and osteoporotic fracture in postmenopausal Mexican-Mestizo women
Published in Gene (30-12-2018)“…Osteoporosis is a metabolic bone disorder characterized by low bone mineral density and decreased bone strength, leading to an increased risk of fractures with…”
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Antimicrobial and enhancement of the antibiotic activity by phenolic compounds: Gallic acid, caffeic acid and pyrogallol
Published in Microbial pathogenesis (01-10-2016)“…The indiscriminate use of antimicrobial drugs has increased the spectrum of exposure of these organisms. In our studies, these phenolic compounds were…”
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A multi-task approach for contrastive learning of handwritten signature feature representations
Published in Expert systems with applications (01-05-2023)“…In spite of recent advances in computer vision, the classic problem of offline handwritten signature verification still remains challenging. The signature…”
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A dynamic multiple classifier system using graph neural network for high dimensional overlapped data
Published in Information fusion (01-03-2024)Get full text
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