Search Results - "Neves, João C."

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  1. 1

    GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection by Neves, Joao C., Tolosana, Ruben, Vera-Rodriguez, Ruben, Lopes, Vasco, Proenca, Hugo P, Fierrez, Julian

    “…The availability of large-scale facial databases, together with the remarkable progresses of deep learning technologies, in particular Generative Adversarial…”
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    Journal Article
  2. 2

    Improving the evidential value of low-quality face images with aggregation of deep neural network embeddings by Ribeiro, Rafael Oliveira, Neves, João C., Ruifrok, Arnout, de Barros Vidal, Flavio

    Published in Science & justice (01-09-2024)
    “…•An effective strategy to improve face recognition of low-quality facial images.•Validation of this strategy under forensically relevant challenging…”
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    Journal Article
  3. 3

    Distribution costs and real exchange rate dynamics during exchange-rate-based stabilizations by Burstein, Ariel T, Neves, João C, Rebelo, Sergio

    Published in Journal of monetary economics (01-09-2003)
    “…This paper studies the role played by distribution costs in shaping the behavior of the real exchange rate during exchange-rate-based stabilizations. We…”
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    Journal Article
  4. 4

    Detection and separation of overlapping cells based on contour concavity for Leishmania images by Neves, João C., Castro, Helena, Tomás, Ana, Coimbra, Miguel, Proença, Hugo

    Published in Cytometry. Part A (01-06-2014)
    “…Life scientists often must count cells in microscopy images, which is a tedious and time‐consuming task. Automatic approaches present a solution to this…”
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    Journal Article
  5. 5

    Fusing Vantage Point Trees and Linear Discriminants for Fast Feature Classification by Proença, Hugo, Neves, João C.

    Published in Journal of classification (01-04-2017)
    “…This paper describes a classification strategy that can be regarded as a more general form of nearest-neighbor classification. It fuses the concepts of nearest…”
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    Journal Article
  6. 6

    Using data envelopment analysis to select strategies that improve the performance of hotel companies by Neves, João C, Lourenço, Sofia

    “…Purpose - The aim of this paper is to illustrate the value of data envelopment analysis (DEA) for strategic analysis and performance management in the hotel…”
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    Journal Article
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    Deep-PRWIS: Periocular Recognition Without the Iris and Sclera Using Deep Learning Frameworks by Proenca, Hugo, Neves, Joao C.

    “…This paper is based on a disruptive hypothesis for periocular biometrics-in visible-light data, the recognition performance is optimized when the components…”
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    Journal Article
  10. 10

    Visible-wavelength iris/periocular imaging and recognition surveillance environments by Proença, Hugo, Neves, João C.

    Published in Image and vision computing (01-11-2016)
    “…Visual surveillance cameras have been massively deployed in public urban environments over the recent years, as a crime prevention and law enforcement…”
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    Journal Article
  11. 11

    IRINA: Iris Recognition (Even) in Inaccurately Segmented Data by Proenca, Hugo, Neves, Joao C.

    “…The effectiveness of current iris recognition systems depends on the accurate segmentation and parameterisation of the iris boundaries, as failures at this…”
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    Conference Proceeding
  12. 12

    Coherent Concept-based Explanations in Medical Image and Its Application to Skin Lesion Diagnosis by Patricio, Cristiano, Neves, Joao C., Teixeira, Luis F.

    “…Early detection of melanoma is crucial for preventing severe complications and increasing the chances of successful treatment. Existing deep learning…”
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    Conference Proceeding
  13. 13

    A genetic algorithm-based approach to cost-sensitive bankruptcy prediction by Chen, Ning, Ribeiro, Bernardete, Vieira, Armando S., Duarte, João, Neves, João C.

    Published in Expert systems with applications (15-09-2011)
    “…► We present an evolutionary approach for cost-sensitive bankruptcy prediction. ► The cost preference is integrated into the fitness function of genetic…”
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    Journal Article
  14. 14

    INVESTMENT PRICES AND EXCHANGE RATES: SOME BASIC FACTS by Burstein, Ariel T., Neves, João C., Rebelo, Sergio

    “…This paper documents four basic facts about investment goods and investment prices. First, investment has a very significant nontradable component in the form…”
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    Journal Article
  15. 15

    Biometric Recognition in Surveillance Environments Using Master-Slave Architectures by Proenca, Hugo, Neves, Joao C.

    “…The number of visual surveillance systems deployed worldwide has been growing astoundingly. As a result, attempts have been made to increase the levels of…”
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    Conference Proceeding
  16. 16

    Dynamic camera scheduling for visual surveillance in crowded scenes using Markov random fields by Neves, Joao C., Proenca, Hugo

    “…The use of pan-tilt-zoom (PTZ) cameras for capturing high-resolution data of human-beings is an emerging trend in surveillance systems. However, this new…”
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    Conference Proceeding
  17. 17

    A Reminiscence of "Mastermind": Iris/Periocular Biometrics by "In-Set" CNN Iterative Analysis by Proenca, Hugo, Neves, Joao C.

    “…Convolutional neural networks (CNNs) have emerged as the most popular classification models in biometrics research. Under the discriminative paradigm of…”
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    Journal Article
  18. 18

    Coordination and control in emerging international construction firms by Neves, Joao C., Bugalho, Antonio

    Published in Construction Management and Economics (01-01-2008)
    “…Decisions pertaining to the coordination and control of subsidiaries made by emerging international construction firms are crucial for the success of their…”
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    Journal Article
  19. 19

    Joint Head Pose/Soft Label Estimation for Human Recognition In-The-Wild by Proença, Hugo, Neves, Joao C., Barra, Silvio, Marques, Tiago, Moreno, Juan C.

    “…Soft biometrics have been emerging to complement other traits and are particularly useful for poor quality data. In this paper, we propose an efficient…”
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    Journal Article
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    Soft Biometrics: Globally Coherent Solutions for Hair Segmentation and Style Recognition Based on Hierarchical MRFs by Proenca, Hugo, Neves, Joao C.

    “…Markov Random Fields (MRFs) are a popular tool in many computer vision problems and faithfully model a broad range of local dependencies. However, rooted in…”
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    Journal Article