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Matthew L. Weiss
Matthew L. Weiss
MIT-Lincoln Laboratory
Adresse e-mail validée de mit.edu
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Graphene nanoplatelet-polymer chemiresistive sensor arrays for the detection and discrimination of chemical warfare agent simulants
MS Wiederoder, EC Nallon, M Weiss, SK McGraw, VP Schnee, CJ Bright, ...
ACS sensors 2 (11), 1669-1678, 2017
472017
Applications of the Kalman filter to chemical sensors for downstream machine learning
M Weiss, MS Wiederoder, RC Paffenroth, EC Nallon, CJ Bright, ...
IEEE Sensors Journal 18 (13), 5455-5463, 2018
222018
AI-enabling workloads on large-scale GPU-accelerated system: Characterization, opportunities, and implications
B Li, R Arora, S Samsi, T Patel, W Arcand, D Bestor, C Byun, RB Roy, ...
2022 IEEE International Symposium on High-Performance Computer Architecture …, 2022
182022
The mit supercloud dataset
S Samsi, ML Weiss, D Bestor, B Li, M Jones, A Reuther, D Edelman, ...
2021 IEEE High Performance Extreme Computing Conference (HPEC), 1-8, 2021
162021
The autoencoder-Kalman filter: Theory and practice
ML Weiss, RC Paffenroth, JR Uzarski
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 2176-2179, 2019
102019
Deep learning with domain randomization for optimal filtering
M Weiss, RC Paffenroth, JR Whitehill, JR Uzarski
2019 18th IEEE International Conference On Machine Learning And Applications …, 2019
92019
Maneuvering target tracking using the autoencoder-interacting multiple model filter
K Vedula, ML Weiss, RC Paffenroth, JR Uzarski, DR Brown
2020 54th Asilomar Conference on Signals, Systems, and Computers, 1512-1517, 2020
72020
Impact of graphene nanoplatelet concentration and film thickness on vapor detection for polymer based chemiresistive sensors
MS Wiederoder, M Weiss, B Yoon, RC Paffenroth, SK McGraw, ...
Current Applied Physics 19 (9), 978-983, 2019
72019
The mit supercloud workload classification challenge
BJ Tang, Q Chen, ML Weiss, NC Frey, J McDonald, D Bestor, C Yee, ...
2022 IEEE International Parallel and Distributed Processing Symposium …, 2022
32022
Automatic blood pressure indicator
R Roy, M Weiss
IRE TRANSACTIONS ON BIOMEDICAL ELECTRONICS, 244-&, 1962
31962
Developing a series of ai challenges for the united states department of the air force
V Gadepally, G Angelides, A Barbu, A Bowne, LJ Brattain, T Broderick, ...
2022 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2022
22022
An Evaluation of Low Overhead Time Series Preprocessing Techniques for Downstream Machine Learning
ML Weiss, J McDonald, D Bestor, C Yee, D Edelman, M Jones, A Prout, ...
2022 IEEE High Performance Extreme Computing Conference (HPEC), 1-6, 2022
12022
Robust Variational Autoencoders: Generating Noise-Free Images from Corrupted Images
H Ren, Y Yue, C Zhou, RC Paffenroth, Y Li, ML Weiss
12018
QuakeCast: Forecasting Earthquakes from Preseismic Ionospheric Signals Using Machine Learning Refinements and Advances
J Reid, J Liu, S Scheele, B Ananthabhotla, M Weiss, D Schuldt
AGU Fall Meeting Abstracts 2021, NH35D-0494, 2021
2021
The Pseudo Projection Operator: Applications of Deep Learning to Projection Based Filtering in Non-Trivial Frequency Regimes
ML Weiss, NC Frey, S Samsi, RC Paffenroth, V Gadepally
arXiv preprint arXiv:2111.07140, 2021
2021
Novel Data Science Driven Chemical Agent Sensors: Towards Better Discrimination in Complex Environments
JR Uzarski, MS Wiederoder, M Weiss, A Moore, R Paffenroth
Electrochemical Society Meeting Abstracts 239, 1321-1321, 2021
2021
Robust State Estimation and Deep Learning for Time Series Analysis
ML Weiss
US Army, 2020
2020
Novel Data Science Driven Chemical and Biological Agent Sensors: Towards Better Discrimination in Complex Environments
JR Uzarski, MS Wiederoder, C Luckhardt, ML Weiss, R Paffenroth, R Su, ...
Electrochemical Society Meeting Abstracts 237, 1842-1842, 2020
2020
Optimization of polymer-graphene nanoplatelet chemiresistive sensors for detection and discrimination of chemical warfare agents
M Wiederoder, M Weiss, E Nallon, R Paffenroth, V Schnee, C Bright, ...
ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 255, 2018
2018
Lincoln Laboratory
B Ananthabhotla, J Liu, JD Reid, S Scheele, DW Schuldt, ML Weiss
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