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Jason Deglint
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Books and Theses
- 2019
- [b1]Jason Deglint:
Automatic Identification of Algae using Low-cost Multispectral Fluorescence Digital Microscopy, Hierarchical Classification & Deep Learning. University of Waterloo, Ontario, Canada, 2019
Journal Articles
- 2022
- [j3]Blake VanBerlo
, Derek Wu, Brian Li
, Marwan A. Rahman, Gregory Hogg, Bennett VanBerlo, Jared Tschirhart
, Alex Ford, Jordan Ho
, Joseph McCauley, Benjamin Wu, Jason Deglint, Jaswin Hargun
, Rushil Chaudhary, Chintan Dave
, Robert Arntfield:
Accurate assessment of the lung sliding artefact on lung ultrasonography using a deep learning approach. Comput. Biol. Medicine 148: 105953 (2022) - 2019
- [j2]Jason L. Deglint
, Chao Jin
, Angela Chao, Alexander Wong
:
The Feasibility of Automated Identification of Six Algae Types Using Feed-Forward Neural Networks and Fluorescence-Based Spectral-Morphological Features. IEEE Access 7: 7041-7053 (2019) - 2017
- [j1]Francis Li, Hicham Sekkati, Jason Deglint, Christian Scharfenberger, Mark Lamm, David A. Clausi, John S. Zelek, Alexander Wong:
Simultaneous Projector-Camera Self-Calibration for Three-Dimensional Reconstruction and Projection Mapping. IEEE Trans. Computational Imaging 3(1): 74-83 (2017)
Conference and Workshop Papers
- 2019
- [c3]Jason L. Deglint, Chao Jin
, Alexander Wong:
Investigating the Automatic Classification of Algae Using the Spectral and Morphological Characteristics via Deep Residual Learning. ICIAR (2) 2019: 269-280 - 2016
- [c2]Brendan Chwyl, Audrey G. Chung, Robert Amelard, Jason Deglint, David A. Clausi, Alexander Wong:
Time-Frequency Domain Analysis via Pulselets for Non-contact Heart Rate Estimation from Remotely Acquired Photoplethysmograms. CRV 2016: 201-207 - [c1]Brendan Chwyl, Audrey G. Chung, Robert Amelard, Jason Deglint, David A. Clausi, Alexander Wong:
SAPPHIRE: Stochastically acquired photoplethysmogram for heart rate inference in realistic environments. ICIP 2016: 1230-1234
Informal and Other Publications
- 2022
- [i7]Nitpreet Bamra, Vikram Voleti, Alexander Wong, Jason Deglint:
Towards Generating Large Synthetic Phytoplankton Datasets for Efficient Monitoring of Harmful Algal Blooms. CoRR abs/2208.02332 (2022) - [i6]Daniel Zhang, Vikram Voleti, Alexander Wong, Jason Deglint:
Plankton-FL: Exploration of Federated Learning for Privacy-Preserving Training of Deep Neural Networks for Phytoplankton Classification. CoRR abs/2212.08990 (2022) - 2021
- [i5]Ju An Park, Vikram Voleti, Kathryn E. Thomas, Alexander Wong, Jason L. Deglint:
SALT: Sea lice Adaptive Lattice Tracking - An Unsupervised Approach to Generate an Improved Ocean Model. CoRR abs/2106.13202 (2021) - 2019
- [i4]Chris Dulhanty, Jason L. Deglint, Ibrahim Ben Daya, Alexander Wong:
Taking a Stance on Fake News: Towards Automatic Disinformation Assessment via Deep Bidirectional Transformer Language Models for Stance Detection. CoRR abs/1911.11951 (2019) - 2018
- [i3]Jason L. Deglint, Chao Jin, Angela Chao, Alexander Wong:
The feasibility of automated identification of six algae types using neural networks and fluorescence-based spectral-morphological features. CoRR abs/1805.01093 (2018) - [i2]Jason L. Deglint, Chao Jin, Alexander Wong:
Investigating the Automatic Classification of Algae Using Fusion of Spectral and Morphological Characteristics of Algae via Deep Residual Learning. CoRR abs/1810.10889 (2018) - 2015
- [i1]Jason Deglint, Farnoud Kazemzadeh, Daniel S. Cho, David A. Clausi, Alexander Wong:
Numerical Demultiplexing of Color Image Sensor Measurements via Non-linear Random Forest Modeling. CoRR abs/1512.05421 (2015)
Coauthor Index
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