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Shah, Tapan
161  Ergebnisse:
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1

The Entropy Economy and the Kolmogorov Learning Cycle: Leve..:

Evans, Scott C. ; Shah, Tapan ; Huang, Hao.
Physica D: Nonlinear Phenomena.  461 (2024)  - p. 134051 , 2024
Link: https://doi.org/10.1016/..
 
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2

PIMT regulates hepatic gluconeogenesis in mice:

Kapadia, Bandish ; Behera, Soma ; Kumar, Sireesh T....
iScience.  26 (2023)  3 - p. 106120 , 2023
Link: https://doi.org/10.1016/..
 
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3

The first AI4TSP competition: Learning to solve stochastic ..:

Zhang, Yingqian ; Bliek, Laurens ; da Costa, Paulo...
Artificial Intelligence.  319 (2023)  - p. 103918 , 2023
Link: https://doi.org/10.1016/..
 
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4

Design and Development of an Autonomous Robot Assistant:

, In: Lecture Notes in Mechanical Engineering; Intelligent Manufacturing Systems in Industry 4.0,
Pandey, Krishna Kant ; Shah, Tapan ; Yadrave, Sheetal.. - p. 381-389 , 2023
Link: https://doi.org/10.1007/..
 
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5

Using ML training computations for grid stability in 2050:

, In: 2023 IEEE Conference on Technologies for Sustainability (SusTech),
Evans, Scott ; Shah, Tapan - p. 245-246 , 2023
Link: https://doi.org/10.1109/..
 
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6

Optimizing emissions for machine learning training:

, In: 2023 IEEE Conference on Technologies for Sustainability (SusTech),
Ekanayake, Sachini Piyoni ; Shah, Tapan ; Evans, Scott - p. 237-238 , 2023
Link: https://doi.org/10.1109/..
 
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7

Cost-sensitive Hierarchical Clustering for Dynamic Classifi..:

, In: 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA),
Sellmann, Meinolf ; Shah, Tapan - p. 782-787 , 2022
Link: https://doi.org/10.1109/..
 
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8

Partially Supervised Classification for Industrial System u..:

Huang, Hao ; Shah, Tapan
Annual Conference of the PHM Society.  14 (2022)  1 - p. , 2022
Link: https://doi.org/10.36001..
 
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9

Deep Time Series Sketching and Its Application on Industria..:

, In: 2022 IEEE International Conference on Big Data (Big Data),
Huang, Hao ; Shah, Tapan ; Yoo, Shinjae - p. 1997-2006 , 2022
Link: https://doi.org/10.1109/..
 
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10

Learning from low precision samples:

Shah, Tapan ; Zhu, Tiffany ; Wang, Olivia...
The International FLAIRS Conference Proceedings.  34 (2021)  1 - p. , 2021
Link: https://doi.org/10.32473..
 
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11

Learning to Optimize Black-Box Functions with Extreme Limit..:

, In: Lecture Notes in Computer Science; Learning and Intelligent Optimization,
Ansótegui, Carlos ; Sellmann, Meinolf ; Shah, Tapan. - p. 7-24 , 2021
Link: https://doi.org/10.1007/..
 
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12

Competence region estimation for black-box surrogate models:

Shah, Tapan
The International FLAIRS Conference Proceedings.  34 (2021)  1 - p. , 2021
Link: https://doi.org/10.32473..
 
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13

Combining Remotely Sensed Imagery with Survival Models for ..:

, In: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW),
Jain, Arpit ; Shah, Tapan ; Yousefhussien, Mohammed. - p. 1202-1211 , 2021
Link: https://doi.org/10.1109/..
 
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14

The Entropy Economy: A New Paradigm for Carbon Reduction an..:

, In: 2021 55th Asilomar Conference on Signals, Systems, and Computers,
Evans, Scott ; Shah, Tapan ; Pandey, Acahlesh - p. 1372-1377 , 2021
Link: https://doi.org/10.1109/..
 
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15

An analytic approach to monitor main bearing health:

Shah, Tapan ; Karnik, Aditya ; Narayanan, Babu
Life Cycle Reliability and Safety Engineering.  9 (2019)  2 - p. 213-218 , 2019
Link: https://doi.org/10.1007/..
 
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