Scott Evans

According to our database, Scott Evans authored at least 13 papers between 2000 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

FlowFill: A Fast and Energy-Efficient Streaming Framework for Recovering Missing Values in Industrial Sensor Data.

Hao Huang, Scott Evans

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024

Deep Root Cause Analysis: Unveiling Anomalies and Enhancing Fault Detection in Industrial Time Series.

Hao Huang, Tapan Shah, John Karigiannis, Scott Evans

Proceedings of the International Joint Conference on Neural Networks, 2024

Sustainable and Explainable Neural Network for Real-Time Time Series Classification.

Hao Huang, Tapan Shah, Shinjae Yoo, Scott Evans

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Energy Efficient Streaming Time Series Classification with Attentive Power Iteration.

Hao Huang, Tapan Shah, Scott Evans, Shinjae Yoo

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2021

The Entropy Economy: A New Paradigm for Carbon Reduction and Energy Efficiency for the Age of AI.

Scott Evans, Tapan Shah, Achalesh Pandey

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Causal Inference via Conditional Kolmogorov Complexity.

Daniel Goldfarb, Scott Evans

Proceedings of the Advances in Data Mining, 2020

2019

Causal Inference via Conditional Kolmogorov Complexity using MDL Binning.

Daniel Goldfarb, Scott Evans

CoRR, 2019

2015

Using the minimum description length to discover the intrinsic cardinality and dimensionality of time series.

Bing Hu, Thanawin Rakthanmanon, Yuan Hao, Scott Evans, Stefano Lonardi, Eamonn J. Keogh

Data Min. Knowl. Discov., 2015

2012

MDL-based time series clustering.

Thanawin Rakthanmanon, Eamonn J. Keogh, Stefano Lonardi, Scott Evans

Knowl. Inf. Syst., 2012

2011

Time Series Epenthesis: Clustering Time Series Streams Requires Ignoring Some Data.

Thanawin Rakthanmanon, Eamonn J. Keogh, Stefano Lonardi, Scott Evans

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Discovering the Intrinsic Cardinality and Dimensionality of Time Series Using MDL.

Bing Hu, Thanawin Rakthanmanon, Yuan Hao, Scott Evans, Stefano Lonardi, Eamonn J. Keogh

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Towards Discovering the Intrinsic Cardinality and Dimensionality of Time Series Using MDL.

Bing Hu, Thanawin Rakthanmanon, Yuan Hao, Scott Evans, Stefano Lonardi, Eamonn J. Keogh

Proceedings of the Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence, 2011

2000

Online adaptive reinitialization of the constant modulus algorithm.

Scott Evans, Lang Tong

IEEE Trans. Commun., 2000