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Sean Saito
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Cited by
Year
Improving lime robustness with smarter locality sampling
S Saito, E Chua, N Capel, R Hu
arXiv preprint arXiv:2006.12302, 2020
212020
Neural clustering: Concatenating layers for better projections
S Saito, RT Tan
152017
Effects of loss functions and target representations on adversarial robustness
S Saito, S Roy
MLSys 2020 First Workshop on Secure and Resilient Autonomy (SARA 2020), 2018
102018
Python reinforcement learning projects: eight hands-on projects exploring reinforcement learning algorithms using TensorFlow
S Saito, Y Wenzhuo, R Shanmugamani
Packt Publishing Ltd, 2018
102018
Hinet: Hierarchical classification with neural network
Z Wu, S Saito
arXiv preprint arXiv:1705.11105, 2017
102017
Utilizing embeddings for efficient matching of entities
S Saito, CK Joshi, R Shanmugamani, TV Le, RV Arumugam
US Patent App. 16/217,148, 2020
62020
Python reinforcement learning: solve complex real-world problems by mastering reinforcement learning algorithms using OpenAI Gym and TensorFlow
S Ravichandiran, S Saito, R Shanmugamani, Y Wenzhuo
Packt Publishing Ltd, 2019
52019
Learning system for contextual interpretation of Japanese words
S Saito
US Patent 11,250,221, 2022
32022
Representing sets of entitites for matching problems
S Saito, TV Le, C Joshi, R Shanmugamani
US Patent App. 16/208,681, 2020
32020
Calibrating reliability of multi-label classification neural networks
S Saito, A Byiringiro
US Patent 11,507,832, 2022
12022
Generating explanations of machine learning predictions in matching problems
S Saito
US Patent 11,263,555, 2022
12022
Automated hybrid pipeline for customer identification
A Byiringiro, J Qiang, A Biswas, S Saito
US Patent 11,861,692, 2024
2024
Graphical approach to multi-matching
TV Le, S Saito, CK Joshi, R Shanmugamani
US Patent 11,645,686, 2023
2023
Identifying entities absent from training data using neural networks
S Saito, A Byiringiro
US Patent 11,537,946, 2022
2022
Vectorization of structured documents with multi-modal data
S Saito
US Patent 11,507,886, 2022
2022
Platform for preventing adversarial attacks on image-based machine learning models
S Saito, S Roy
US Patent 10,839,265, 2020
2020
Explaining Away Attacks Against Neural Networks
S Saito, J Wang
MLSys 2020 First Workshop on Secure and Resilient Autonomy (SARA 2020), 2020
2020
An application of pressure division for calibrating ionization gauges(Pressure-division system for vacuum ionization gauge calibration)
JR POYNTER, S SAITO
1965., 412-418, 1965
1965
An application of pressure division for calibrating ionization gauges
JR POYNTER, S SAITO
Publications of Goddard Space Flight Center, 412, 1964
1964
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Articles 1–19