Search Results - "Sue Han Lee"

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  1. 1

    Pairwise Feature Learning for Unseen Plant Disease Recognition by Hao Chai, Abel Yu, Han Lee, Sue, Tay, Fei Siang, Lung Then, Yi, Goeau, Herve, Bonnet, Pierre, Joly, Alexis

    “…With the advent of Deep Learning, people have begun to use it with computer vision approaches to identify plant diseases on a large scale targeting multiple…”
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    Conference Proceeding
  2. 2

    How deep learning extracts and learns leaf features for plant classification by Lee, Sue Han, Chan, Chee Seng, Mayo, Simon Joseph, Remagnino, Paolo

    Published in Pattern recognition (01-11-2017)
    “…•A deep learning approach to quantify discriminatory leaf is proposed.•Shape is not a dominant feature for leaf but rather the different orders of…”
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    Journal Article
  3. 3

    Multi-Organ Plant Classification Based on Convolutional and Recurrent Neural Networks by Sue Han Lee, Chee Seng Chan, Remagnino, Paolo

    Published in IEEE transactions on image processing (01-09-2018)
    “…Classification of plants based on a multi-organ approach is very challenging. Although additional data provide more information that might help to disambiguate…”
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    Journal Article
  4. 4

    Deep-plant: Plant identification with convolutional neural networks by Sue Han Lee, Chee Seng Chan, Wilkin, Paul, Remagnino, Paolo

    “…This paper studies convolutional neural networks (CNN) to learn unsupervised feature representations for 44 different plant species, collected at the Royal…”
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    Conference Proceeding
  5. 5

    Attention-Based Recurrent Neural Network for Plant Disease Classification by Lee, Sue Han, Goëau, Hervé, Bonnet, Pierre, Joly, Alexis

    Published in Frontiers in plant science (14-12-2020)
    “…Plant diseases have a significant impact on global food security and the world's agricultural economy. Their early detection and classification increase the…”
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    Journal Article
  6. 6

    Evaluation of Jacking Forces in Weathered Phyllite Based on In Situ Pressuremeter Testing and Deep Learning by Yeo, Lit Yen, Phangkawira, Fredrik, Kueh, Pei Gee, Lee, Sue Han, Choo, Chung Siung, Zhang, Dongming, Ong, Dominic Ek Leong

    Published in Geosciences (Basel) (01-03-2024)
    “…Pipe jacking is a trenchless technology used to install buried pipelines, such as sewer lines in wastewater management systems. Existing mechanistic approaches…”
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    Journal Article
  7. 7

    New perspectives on plant disease characterization based on deep learning by Lee, Sue Han, Goëau, Hervé, Bonnet, Pierre, Joly, Alexis

    Published in Computers and electronics in agriculture (01-03-2020)
    “…•New perspective on plant disease characterization based on deep learning is proposed.•Cross-features transfer from different domains affects disease features…”
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    Journal Article
  8. 8

    How Transferable are Herbarium-Field Features in Few-Shot Plant Identification with Triplet Loss? by Chulif, Sophia, Lee, Sue Han, Loong Chang, Yang, Kit Tsun, Mark Tee, Chin Chai, Kok, Then, Yi Lung

    “…Due to the limited tropical plant field photos but increasing digitized herbarium specimens, cross-domain plant identification has been employed to investigate…”
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    Conference Proceeding
  9. 9

    Unveiling Robust Feature Spaces: Image vs. Embedding-Oriented Approaches for Plant Disease Identification by Ishrat, Hamza Ahmed, Yu Hao Chai, Abel, Lee, Sue Han, Hui Then, Patrick Hang

    “…Deep learning models, such as Convolutional Neural Networks (CNNs), possess the ability to learn robust features that enable effective plant disease…”
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    Conference Proceeding
  10. 10

    MoMo Strategy: Learn More from More Mistakes by Chulif, Sophia, Lee, Sue Han, Loong Chang, Yang, Kit Tsun, Mark Tee, Chai, Kok Chin, Then, Yi Lung

    “…Training accurate convolutional neural networks (CNNs) is essential for achieving high-performance machine learning models. However, limited training data pose…”
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    Conference Proceeding
  11. 11

    Beyond supervision: Harnessing self-supervised learning in unseen plant disease recognition by Chai, Abel Yu Hao, Lee, Sue Han, Tay, Fei Siang, Bonnet, Pierre, Joly, Alexis

    Published in Neurocomputing (Amsterdam) (28-12-2024)
    “…Deep learning models have demonstrated great promise in plant disease identification. However, existing approaches often face challenges when dealing with…”
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    Journal Article
  12. 12

    A machine learning approach for cross-domain plant identification using herbarium specimens by Chulif, Sophia, Lee, Sue Han, Chang, Yang Loong, Chai, Kok Chin

    Published in Neural computing & applications (01-03-2023)
    “…The preservation of plant specimens in herbaria has been carried out for centuries in efforts to study and confirm plant taxa. With the increasing collection…”
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    Journal Article
  13. 13

    Evaluation of Jacking Forces in Weathered Phyllite Based on IIn Situ/I Pressuremeter Testing and Deep Learning by Yeo, Lit Yen, Phangkawira, Fredrik, Kueh, Pei Gee, Lee, Sue Han, Choo, Chung Siung, Zhang, Dongming, Ong, Dominic Ek Leong

    Published in Geosciences (Basel) (01-02-2024)
    “…Pipe jacking is a trenchless technology used to install buried pipelines, such as sewer lines in wastewater management systems. Existing mechanistic approaches…”
    Get full text
    Journal Article
  14. 14

    Conditional Multi-Task learning for Plant Disease Identification by Lee, Sue Han, Goeau, Herve, Bonnet, Pierre, Joly, Alexis

    “…Several recent studies have proposed an automatic plant disease identification system based on deep learning. However, these approaches are generally based on…”
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    Conference Proceeding
  15. 15

    HGO-CNN: Hybrid generic-organ convolutional neural network for multi-organ plant classification by Lee, Sue Han, Chang, Yang Loong, Chan, Chee Seng, Remagnino, Paolo

    “…Classification of plants based on a multi-organ approach is very challenging. Although additional data provides more information that might help to…”
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    Conference Proceeding
  16. 16

    Deep Plant: A Deep Learning Approach for Plant Classification by Han, Lee Sue

    Published 01-01-2018
    “…Plant classification systems developed by computer vision researchers have helped botanists to recognize and identify unknown plant species more rapidly…”
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    Dissertation
  17. 17

    Muscle-specific inactivation of the IGF-I receptor induces compensatory hyperplasia in skeletal muscle by Fernández, Ana M, Dupont, Joëlle, Farrar, Roger P, Lee, Sukho, Stannard, Bethel, Le Roith, Derek

    Published in The Journal of clinical investigation (01-02-2002)
    “…During the development of skeletal muscle, myoblasts withdraw from the cell cycle and differentiate into myotubes. The insulin-like growth factors IGF-I and…”
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    Journal Article
  18. 18
  19. 19

    Deep-Plant: Plant Identification with convolutional neural networks by Lee, Sue Han, Chan, Chee Seng, Wilkin, Paul, Remagnino, Paolo

    Published 28-06-2015
    “…This paper studies convolutional neural networks (CNN) to learn unsupervised feature representations for 44 different plant species, collected at the Royal…”
    Get full text
    Journal Article