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- 2019
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Mark
PTPD : Predicting therapeutic peptides by deep learning and word2vec
- Contribution to journal › Article
-
Mark
Statistical inference with deep latent variable models
(2019)
- Thesis › Doctoral thesis (compilation)
-
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
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
-
Mark
MistNet : Measuring historical bird migration in the US using archived weather radar data and convolutional neural networks
- Contribution to journal › Article
-
Mark
Application of Bioactivity Profile-Based Fingerprints for Building Machine Learning Models
- Contribution to journal › Article
- 2018
-
Mark
Including pervasive web content in evidence-based software engineering : A case study
(2018) 24th Asia-Pacific Software Engineering Conference Workshops, APSECW 2017 2018-January. p.55-62
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Deep Learning Applications for Biomedical Data and Natural Language Processing
(2018)
- Thesis › Doctoral thesis (compilation)
- 2017
-
Mark
Algorithms and Proofs of Concept for Massive MIMO Systems
(2017)
- Thesis › Doctoral thesis (compilation)
-
Mark
Integrating the methods of project-based learning and role-playing to promote deep approach of learning : Programming languages
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
