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- 2019
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Mark
Statistical inference with deep latent variable models
2019)(
- Thesis › Doctoral thesis (compilation)
-
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
Automatic detection of small areas of Gleason grade 5 in prostate tissue using CNN
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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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
-
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
Automatic Gleason grading of H&E stained microscopic prostate images using deep convolutional neural networks
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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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
-
Mark
Algorithms and Proofs of Concept for Massive MIMO Systems
2017)(
- Thesis › Doctoral thesis (compilation)