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Matthew Stewart
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Year
Widening Access to Applied Machine Learning With TinyML
VJ Reddi, B Plancher, S Kennedy, L Moroney, P Warden, L Suzuki, ...
Harvard Data Science Review, 2022
56*2022
Simple Introduction to Convolutional Neural Networks
M Stewart
Towards Data Science 27, 2019
512019
The actual difference between statistics and machine learning
M Stewart
Towards Data Science, 2019
462019
Machine learning and deep learning to predict mortality in patients with spontaneous coronary artery dissection
C Krittanawong, H Ul Hassan Virk, A Kumar, M Aydar, Z Wang, ...
Scientific Reports 11 (8992), 2021
432021
Unmanned Aerial Vehicles: Fundamentals, Components, Mechanics, and Regulations
M Stewart, S Martin
Unmanned Aerial Vehicles, 1-70, 2021
302021
The limitations of machine learning
M Stewart
Towards Data Science, 2019
26*2019
Comprehensive Introduction to Autoencoders
M Stewart
Towards Data Science, 2019
19*2019
Machine Learning Sensors: A Design Paradigm for the Future of Intelligent Sensors
M Stewart, P Warden, B Plancher, S Katti, VJ Reddi
Communications of the ACM 66 (11), 25-28, 2023
16*2023
Is TinyML Sustainable? Assessing the environmental impacts of machine learning on microcontrollers
S Prakash, M Stewart, C Banbury, M Mazumder, P Warden, B Plancher, ...
Communications of the ACM 66 (11), 68-77, 2023
122023
Neurobench: Advancing neuromorphic computing through collaborative, fair and representative benchmarking
J Yik, SH Ahmed, Z Ahmed, B Anderson, AG Andreou, C Bartolozzi, ...
arXiv preprint arXiv:2304.04640, 2023
112023
A systematic review of the ethics and efficacy of digital contact tracing applications
B Levy, M Stewart
Harvard Data Science Review 18, 2020
10*2020
River winds and pollutant recirculation near the Manaus city in the central Amazon
T Zhao, J Ye, IO Ribeiro, Y Ma, HM Hung, CE Batista, MP Stewart, ...
Communications Earth & Environment 2 (1), 205, 2021
92021
An analysis of Amazonian forest fires
M Stewart
Towards data science, 1-33, 2019
82019
Simple Guide to Hyperparameter Tuning in Neural Networks
M Stewart
Von https://towardsdatascience. com/simple-guide-to-hyperparameter-tuning-in …, 2019
62019
Partitioning of Organonitrates in the Production of Secondary Organic Aerosols from α-Pinene Photo-Oxidation
E Aruffo, J Wang, J Ye, P Ohno, Y Qin, M Stewart, K McKinney, P Di Carlo, ...
Environmental Science & Technology 56 (9), 5421-5429, 2022
52022
Gans vs. autoencoders: Comparison of deep generative models
M Stewart
Towards Data Science, 2022
52022
Predicting stock prices with echo state networks
M Stewart
Medium. https://towardsdatascience. com/predicting-stock-prices-with-echo …, 2020
52020
Neural Network Optimization
M Stewart
Towards Data Science, 2019
52019
River winds and transport of forest volatiles in the Amazonian riparian ecoregion
J Ye, CE Batista, T Zhao, J Campos, Y Ma, P Guimarães, IO Ribeiro, ...
Environmental Science & Technology 56 (17), 12667-12677, 2022
42022
Guide to classification on imbalanced datasets
M Stewart
Towards Data Science. https://towardsdatascience. com/guide-to …, 2020
42020
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Articles 1–20