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2020 – today
- 2024
[c7]Hao Huang, Tapan Shah, Scott Evans, Shinjae Yoo:
Energy Efficient Streaming Time Series Classification with Attentive Power Iteration. AAAI 2024: 12574-12582- [c6]Hao Huang, Tapan Shah, John Karigiannis, Scott Evans:
Deep Root Cause Analysis: Unveiling Anomalies and Enhancing Fault Detection in Industrial Time Series. IJCNN 2024: 1-8 - 2021
- [c5]Scott Evans, Tapan Shah, Achalesh Pandey:
The Entropy Economy: A New Paradigm for Carbon Reduction and Energy Efficiency for the Age of AI. ACSCC 2021: 1372-1377 - 2020
- [c4]Daniel Goldfarb, Scott Evans:
Causal Inference via Conditional Kolmogorov Complexity. ICDM 2020: 91-104
2010 – 2019
- 2019
- [i1]Daniel Goldfarb, Scott Evans:
Causal Inference via Conditional Kolmogorov Complexity using MDL Binning. CoRR abs/1911.00332 (2019) - 2015
- [j3]Bing Hu, Thanawin Rakthanmanon, Yuan Hao, Scott Evans, Stefano Lonardi
, Eamonn J. Keogh:
Using the minimum description length to discover the intrinsic cardinality and dimensionality of time series. Data Min. Knowl. Discov. 29(2): 358-399 (2015) - 2012
- [j2]Thanawin Rakthanmanon, Eamonn J. Keogh, Stefano Lonardi, Scott Evans:
MDL-based time series clustering. Knowl. Inf. Syst. 33(2): 371-399 (2012) - 2011
- [c3]Bing Hu, Thanawin Rakthanmanon, Yuan Hao, Scott Evans, Stefano Lonardi, Eamonn J. Keogh:
Towards Discovering the Intrinsic Cardinality and Dimensionality of Time Series Using MDL. Algorithmic Probability and Friends 2011: 184-197 - [c2]Thanawin Rakthanmanon, Eamonn J. Keogh, Stefano Lonardi, Scott Evans:
Time Series Epenthesis: Clustering Time Series Streams Requires Ignoring Some Data. ICDM 2011: 547-556 - [c1]Bing Hu, Thanawin Rakthanmanon, Yuan Hao, Scott Evans, Stefano Lonardi, Eamonn J. Keogh:
Discovering the Intrinsic Cardinality and Dimensionality of Time Series Using MDL. ICDM 2011: 1086-1091
2000 – 2009
- 2000
- [j1]Scott Evans, Lang Tong:
Online adaptive reinitialization of the constant modulus algorithm. IEEE Trans. Commun. 48(4): 537-539 (2000)
Coauthor Index
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