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- 2019
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Mark
Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study
(
- Contribution to journal › Article
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Mark
Catastrophic child's play : Easy to perform, hard to defend adversarial attacks
2019) 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019 In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2019-June. p.9221-9229(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Comparison of different augmentation techniques for improved generalization performance for gleason grading
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Statistical inference and time-frequency estimation for non-stationary signal classification
(
- Thesis › Doctoral thesis (compilation)
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Mark
Statistical inference with deep latent variable models
2019)(
- Thesis › Doctoral thesis (compilation)
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Mark
PTPD : Predicting therapeutic peptides by deep learning and word2vec
(
- Contribution to journal › Article
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Mark
Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems
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- Contribution to journal › Article
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Mark
Spatio-temporal patterns of traffic-related air pollutant emissions in different urban functional zones estimated by real-time video and deep learning technique
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- Contribution to journal › Article
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Mark
Application of Bioactivity Profile-Based Fingerprints for Building Machine Learning Models
(
- Contribution to journal › Article
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Mark
MistNet : Measuring historical bird migration in the US using archived weather radar data and convolutional neural networks
(
- Contribution to journal › Article