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Browsing by Author "Saeys, Yvan"

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    A study on the calibration of fingerprint classifiers

    Peralta, Daniel  
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    Tang, Lin
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    Lippeveld, Maxim
    ;
    Saeys, Yvan
    Proceedings paper
    2021, 9th IEEE International Conference on Big Data (IEEE BigData), DEC 15-18, 2021, p.698-704
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    An interactive ImageJ plugin for semi-automated image denoising in electron microscopy

    Roels, Joris
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    Vernaillen, Frank
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    Kremer, Anna
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    Gonçalves, Amanda
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    Aelterman, Jan  
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    Luong, Hiep  
    Journal article
    2020, Nature Communications, 11, p.771
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    An Introduction to Adversarially Robust Deep Learning

    Peck, Jonathan
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    Goossens, Bart  
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    Saeys, Yvan
    Journal article
    2024, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, (46) 4, p.2071-2090
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    An overview of state-of-the-art image restoration in electron microscopy

    Roels, Joris
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    Aelterman, Jan  
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    Luong, Hiep  
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    Lippens, Saskia
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    Pizurica, Aleksandra
    ;
    Saeys, Yvan
    Journal article
    2018, Journal of Microscopy, (271) 3, p.239-254
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    Calibrated multi-probabilistic prediction as a defense against adversarial attacks

    Peck, Jonathan
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    Goossens, Bart  
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    Saeys, Yvan
    Proceedings paper
    2019, Benelux Artificial Intelligence Conference (BNAIC), 6/11/2019, p.1-16
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    Convolutional neural network pruning to accelerate membrane segmentation in electron microscopy

    Roels, Joris
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    De Vylder, Jonas
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    Aelterman, Jan  
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    Saeys, Yvan
    ;
    Philips, Wilfried  
    Proceedings paper
    2017, 14th International symposium on Biomedical Imaging - ISBI, 18/04/2017, p.633-637
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    Detecting adversarial examples with inductive Venn-ABERS predictors

    Peck, Jonathan
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    Goossens, Bart  
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    Saeys, Yvan
    Proceedings paper
    2019, 27th European symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2019), 24/04/2019, p.143-148
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    Domain adaptive segmentation in volume electron microscopy imaging

    Roels, Joris
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    Hennies, Julian
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    Saeys, Yvan
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    Philips, Wilfried  
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    Kreshuk, Anna
    Proceedings paper
    2019, 16th IEEE International symposium on Biomedical Imaging (ISBI 2019), 8/04/2019
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    IncGraph: Incremental graphlet counting for topology optimisation

    Cannoodt, Robrecht
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    Ruyssinck, Joeri  
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    Ramon, Jan
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    De Preter, Katleen
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    Saeys, Yvan
    Journal article
    2018-04, PLoS ONE, (13) 4, p.1-11
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    Lower bounds on the robustness to adversarial perturbations

    Peck, Jonathan
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    Roels, Joris
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    Goossens, Bart  
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    Saeys, Yvan
    Proceedings paper
    2017, 31st Conference on Neural Information Processing Systems - NIPS, 4/12/2017, p.804-813
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    Regional image perturbation reduces Lp norms of adversarial examples while maintaining model-to-model transferability

    Özbulak, Utku
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    Peck, Jonathan
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    De Neve, Wesley
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    Goossens, Bart  
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    Saeys, Yvan
    ;
    Van Messem, Arnout
    Proceedings paper
    2020, The 37th International Conference on Machine Learning (ICML 2020), 12/07/2020, p.1-9
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    SCIP: A scalable, reproducible, and open-source pipeline for morphological profiling image cytometry and microscopy data

    Lippeveld, Maxim
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    Peralta, Daniel  
    ;
    Filby, Andrew
    ;
    Saeys, Yvan
    Journal article
    2024, CYTOMETRY PART A, (2024) 11, p.816-828

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