Search Results - "Cruz, Rafael"

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  1. 1

    Dynamic classifier selection: Recent advances and perspectives by Cruz, Rafael M.O., Sabourin, Robert, Cavalcanti, George D.C.

    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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    Journal Article
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    META-DES: A dynamic ensemble selection framework using meta-learning by Cruz, Rafael M.O., Sabourin, Robert, Cavalcanti, George D.C., Ing Ren, Tsang

    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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    Cortical spheroids show strain-dependent cell viability loss and neurite disruption following sustained compression injury by González-Cruz, Rafael D, Wan, Yang, Burgess, Amina, Calvao, Dominick, Renken, William, Vecchio, Francesca, Franck, Christian, Kesari, Haneesh, Hoffman-Kim, Diane

    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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    Cellular mechanical properties reflect the differentiation potential of adipose-derived mesenchymal stem cells by González-Cruz, Rafael D, Fonseca, Vera C, Darling, Eric M

    “…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 by Cruz, Rafael M.O., Sabourin, Robert, Cavalcanti, George D.C.

    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 by Roy, Anandarup, Cruz, Rafael M.O., Sabourin, Robert, Cavalcanti, George D.C.

    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 by Wan, Yang, González-Cruz, Rafael D., Hoffman-Kim, Diane, Kesari, Haneesh

    “…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 by de Amorim, Lucas B.V., Cavalcanti, George D.C., Cruz, Rafael M.O.

    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 by López-Cruz, Rafael, Sandoval-Contreras, Teresa, Iñiguez-Moreno, Maricarmen

    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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    Meta-Scaler: A Meta-Learning Framework for the Selection of Scaling Techniques by de Amorim, Lucas B. V., Cavalcanti, George D. C., Cruz, Rafael M. O.

    “…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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    A white-box analysis on the writer-independent dichotomy transformation applied to offline handwritten signature verification by Souza, Victor L.F., Oliveira, Adriano L.I., Cruz, Rafael M.O., Sabourin, Robert

    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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    Resampling strategies for imbalanced regression: a survey and empirical analysis by Avelino, Juscimara G., Cavalcanti, George D. C., Cruz, Rafael M. O.

    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 by Davtalab, Reza, Cruz, Rafael M.O., Sabourin, Robert

    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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    Journal Article
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    Security Relevant Methods of Android's API Classification: A Machine Learning Empirical Evaluation by Rodrigues, Walber M., Walmsley, Felipe N., Cavalcanti, George D. C., Cruz, Rafael M. O.

    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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    A multi-task approach for contrastive learning of handwritten signature feature representations by Viana, Talles B., Souza, Victor L.F., Oliveira, Adriano L.I., Cruz, Rafael M.O., Sabourin, Robert

    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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