Mark Thomas
Title
Cited by
Cited by
Year
Inverse problem for a time-series valued computer simulator via scalarization
P Ranjan, M Thomas, H Teismann, S Mukhoti
Open Journal of Statistics 6 (3), 528-544, 2016
112016
Marine mammal species classification using convolutional neural networks and a novel acoustic representation
M Thomas, B Martin, K Kowarski, B Gaudet, S Matwin
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019
72019
Towards a Novel Data Representation for Classifying Acoustic Signals
M Thomas
Canadian Conference on Artificial Intelligence, 601-604, 2019
12019
An end-to-end approach for true detection of low frequency marine mammal vocalizations
M Thomas, B Martin, K Kowarski, B Gaudet, S Matwin
The Journal of the Acoustical Society of America 146 (4), 2959-2959, 2019
2019
Interpreting the latent representations of a convolutional neural network trained on spectrograms
M Thomas, B Martin, K Kowarski, B Gaudet, S Matwin
The Journal of the Acoustical Society of America 146 (4), 2958-2959, 2019
2019
Calibrating High Dimensional Computationally Expensive Computer Simulators with Functional Response
M Thomas
Acadia University Department of Mathematics and Statistics, 2015
2015
Detecting Endangered Baleen Whales within Acoustic Recordings using R-CNNs
M Thomas, B Martin, K Kowarski, B Gaudet, S Matwin
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