Jason Deglint

Orcid: 0000-0003-2343-7013

According to our database1, Jason Deglint authored at least 14 papers between 2015 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Plankton-FL: Exploration of Federated Learning for Privacy-Preserving Training of Deep Neural Networks for Phytoplankton Classification.
CoRR, 2022

Towards Generating Large Synthetic Phytoplankton Datasets for Efficient Monitoring of Harmful Algal Blooms.
CoRR, 2022

Accurate assessment of the lung sliding artefact on lung ultrasonography using a deep learning approach.
Comput. Biol. Medicine, 2022

2021
SALT: Sea lice Adaptive Lattice Tracking - An Unsupervised Approach to Generate an Improved Ocean Model.
CoRR, 2021

2019
Automatic Identification of Algae using Low-cost Multispectral Fluorescence Digital Microscopy, Hierarchical Classification & Deep Learning.
PhD thesis, 2019

Taking a Stance on Fake News: Towards Automatic Disinformation Assessment via Deep Bidirectional Transformer Language Models for Stance Detection.
CoRR, 2019

The Feasibility of Automated Identification of Six Algae Types Using Feed-Forward Neural Networks and Fluorescence-Based Spectral-Morphological Features.
IEEE Access, 2019

Investigating the Automatic Classification of Algae Using the Spectral and Morphological Characteristics via Deep Residual Learning.
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019

2018
Investigating the Automatic Classification of Algae Using Fusion of Spectral and Morphological Characteristics of Algae via Deep Residual Learning.
CoRR, 2018

The feasibility of automated identification of six algae types using neural networks and fluorescence-based spectral-morphological features.
CoRR, 2018

2017
Simultaneous Projector-Camera Self-Calibration for Three-Dimensional Reconstruction and Projection Mapping.
IEEE Trans. Computational Imaging, 2017

2016
SAPPHIRE: Stochastically acquired photoplethysmogram for heart rate inference in realistic environments.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Time-Frequency Domain Analysis via Pulselets for Non-contact Heart Rate Estimation from Remotely Acquired Photoplethysmograms.
Proceedings of the 13th Conference on Computer and Robot Vision, 2016

2015
Numerical Demultiplexing of Color Image Sensor Measurements via Non-linear Random Forest Modeling.
CoRR, 2015


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