Search Results - "Dufourq, Emmanuel"

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  1. 1

    Automated detection of Hainan gibbon calls for passive acoustic monitoring by Dufourq, Emmanuel, Durbach, Ian, Hansford, James P., Hoepfner, Amanda, Ma, Heidi, Bryant, Jessica V., Stender, Christina S., Li, Wenyong, Liu, Zhiwei, Chen, Qing, Zhou, Zhaoli, Turvey, Samuel T., Pettorelli, Nathalie, Astaras, Christos

    Published in Remote sensing in ecology and conservation (01-09-2021)
    “…Extracting species calls from passive acoustic recordings is a common preliminary step to ecological analysis. For many species, particularly those occupying…”
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    Journal Article
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    Identifying prey capture events of a free-ranging marine predator using bio-logger data and deep learning by Schoombie, Stefan, Jeantet, Lorène, Chimienti, Marianna, Sutton, Grace J, Pistorius, Pierre A, Dufourq, Emmanuel, Lowther, Andrew D, Oosthuizen, W Chris

    Published in Royal Society open science (01-06-2024)
    “…Marine predators are integral to the functioning of marine ecosystems, and their consumption requirements should be integrated into ecosystem-based management…”
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    Journal Article
  3. 3

    Passive acoustic monitoring of animal populations with transfer learning by Dufourq, Emmanuel, Batist, Carly, Foquet, Ruben, Durbach, Ian

    Published in Ecological informatics (01-09-2022)
    “…•We focused on data scarcity issues related to convolutional neural networks (CNNs).•Twelve modern pre-trained CNNs were compared.•This approach is less…”
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    Journal Article
  4. 4

    Improving deep learning acoustic classifiers with contextual information for wildlife monitoring by Jeantet, Lorène, Dufourq, Emmanuel

    Published in Ecological informatics (01-11-2023)
    “…[Display omitted] •Acoustic monitoring: key tool for biodiversity assessment and ecological studies.•Harnessing metadata enhances deep bioacoustics…”
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    Journal Article
  5. 5

    Automatic identification of the endangered Hawksbill sea turtle behavior using deep learning and cross-species transfer by Jeantet, Lorène, Zondo, Kukhanya, Delvenne, Cyrielle, Martin, Jordan, Chevallier, Damien, Dufourq, Emmanuel

    Published in Journal of experimental biology (18-11-2024)
    “…The accelerometer, an onboard sensor, enables remote monitoring of animal posture and movement, allowing researchers to deduce behaviors. Despite the automated…”
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    Journal Article
  6. 6

    Automatic detection and taxonomic identification of dolphin vocalisations using convolutional neural networks for passive acoustic monitoring by Frainer, Guilherme, Dufourq, Emmanuel, Fearey, Jack, Dines, Sasha, Probert, Rachel, Elwen, Simon, Gridley, Tess

    Published in Ecological informatics (01-12-2023)
    “…A novel framework for acoustic detection and species identification is proposed to aid passive acoustic monitoring studies on the endangered Indian Ocean…”
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    Journal Article
  7. 7

    An integrated passive acoustic monitoring and deep learning pipeline for black‐and‐white ruffed lemurs (Varecia variegata) in Ranomafana National Park, Madagascar by Batist, Carly H., Dufourq, Emmanuel, Jeantet, Lorène, Razafindraibe, Mendrika N., Randriamanantena, Francois, Baden, Andrea L.

    Published in American journal of primatology (01-04-2024)
    “…The urgent need for effective wildlife monitoring solutions in the face of global biodiversity loss has resulted in the emergence of conservation technologies…”
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    Journal Article
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    EDEN: Evolutionary deep networks for efficient machine learning by Dufourq, Emmanuel, Bassett, Bruce A.

    “…Deep neural networks continue to show improved performance with increasing depth, an encouraging trend that implies an explosion in the possible permutations…”
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    Conference Proceeding
  10. 10

    Deep Evolution for Facial Emotion Recognition by Dufourq, Emmanuel, Bassett, Bruce A

    Published 13-10-2020
    “…Deep facial expression recognition faces two challenges that both stem from the large number of trainable parameters: long training times and a lack of…”
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    Journal Article
  11. 11

    Automated Classification of Text Sentiment by Dufourq, Emmanuel, Bassett, Bruce A

    Published 05-04-2018
    “…The ability to identify sentiment in text, referred to as sentiment analysis, is one which is natural to adult humans. This task is, however, not one which a…”
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    Journal Article
  12. 12

    Text compression for sentiment analysis via evolutionary algorithms by Dufourq, Emmanuel, Bassett, Bruce A.

    “…Can textual data be compressed intelligently without losing accuracy in evaluating sentiment? In this study, we propose a novel evolutionary compression…”
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    Conference Proceeding
  13. 13

    EDEN: Evolutionary Deep Networks for Efficient Machine Learning by Dufourq, Emmanuel, Bassett, Bruce A

    Published 26-09-2017
    “…Deep neural networks continue to show improved performance with increasing depth, an encouraging trend that implies an explosion in the possible permutations…”
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    Journal Article
  14. 14

    Text Compression for Sentiment Analysis via Evolutionary Algorithms by Dufourq, Emmanuel, Bassett, Bruce A

    Published 20-09-2017
    “…Can textual data be compressed intelligently without losing accuracy in evaluating sentiment? In this study, we propose a novel evolutionary compression…”
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    Journal Article
  15. 15

    Automated Problem Identification: Regression vs Classification via Evolutionary Deep Networks by Dufourq, Emmanuel, Bassett, Bruce A

    Published 03-07-2017
    “…Regression or classification? This is perhaps the most basic question faced when tackling a new supervised learning problem. We present an Evolutionary Deep…”
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    Journal Article
  16. 16

    A preliminary study on the reuse of subtrees within decision trees in a genetic programming context for data classification by Dufourq, Emmanuel, Pillay, Nelishia

    “…Genetic programming (GP) has been successful in creating models for data classification which obtain high accuracies. In a programming context creating…”
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    Conference Proceeding
  17. 17

    A comparison of genetic programming representations for binary data classification by Dufourq, Emmanuel, Pillay, Nelishia

    “…The choice of which representation to use when applying genetic programming (GP) to a problem is vital. Certain representations perform better than others and…”
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    Conference Proceeding
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    Hybridizing evolutionary algorithms for creating classifier ensembles by Dufourq, Emmanuel, Pillay, Nelishia

    “…Genetic programming (GP) has been applied to solve data classification problems numerous times in previous studies and the findings in the literature confirm…”
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    Conference Proceeding
  19. 19

    Incorporating adaptive discretization into genetic programming for data classification by Dufourq, Emmanuel, Pillay, Nelishia

    “…Genetic programming (GP) for data classification using decision trees has been successful in creating models which obtain high classification accuracies. When…”
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    Conference Proceeding
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