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Scott A. Wallace
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2020 – today
- 2020
- [i2]Jun Jiang, Xuan Liu, Scott A. Wallace, Eduardo Cotilla Sanchez, Robert B. Bass, Xinghui Zhao:
Defending Against Adversarial Attacks in Transmission- and Distribution-level PMU Data. CoRR abs/2008.09153 (2020)
2010 – 2019
- 2019
- [c27]Xuan Liu, Scott A. Wallace, Xinghui Zhao, Eduardo Cotilla Sanchez, Robert B. Bass:
Episodic Detection of Spoofed Data In Synchrophasor Measurement Streams. IGSC 2019: 1-8 - 2018
- [c26]Florian J. Zach, Scott A. Wallace, Iis P. Tussyadiah, S. Priya Narayana:
Developing and Testing a Domain-Specific Lexical Dictionary for Travel Talk on Twitter (#ttot). ENTER 2018: 528-539 - [c25]Jorge Berrios, Scott A. Wallace, Xinghui Zhao, Eduardo Cotilla Sanchez, Robert B. Bass:
Generator Event Detection from Synchrophasor Data Using a Two-Step Time-Series Machine Learning Algorithm. IGSC 2018: 1-7 - 2017
- [c24]Jun Jiang, Xinghui Zhao, Scott A. Wallace, Eduardo Cotilla Sanchez, Robert B. Bass:
Mining PMU Data Streams to Improve Electric Power System Resilience. BDCAT 2017: 95-102 - 2016
- [c23]Emilia Vanderwerf, Robert Stiles, Alexandra Warlen, Allison Seibert, Kevin Bastien, Andrew Meyer, Andrew M. Nuxoll, Scott A. Wallace:
Hash Functions for Episodic Recognition and Retrieval. FLAIRS 2016: 116-121 - [c22]Xiaodong Liang, Scott A. Wallace, Duc Nguyen:
Rule-based data-driven analytics for Wide-Area fault detection using synchrophasor data. IAS 2016: 1-9 - [c21]Eric Klinginsmith, Richard Barella, Xinghui Zhao, Scott A. Wallace:
Characterizing Smart Grid Events Using Clustering Methods. SMARTGREENS/VEHITS (Selected Papers) 2016: 75-96 - [c20]Jordan Landford, Rich Meier, Richard Barella, Scott A. Wallace, Xinghui Zhao, Eduardo Cotilla Sanchez, Robert B. Bass:
Fast Sequence Component Analysis for Attack Detection in Smart Grid. SMARTGREENS 2016: 225-232 - [c19]Eric Klinginsmith, Richard Barella, Xinghui Zhao, Scott A. Wallace:
Unsupervised Clustering on PMU Data for Event Characterization on Smart Grid. SMARTGREENS 2016: 233-240 - 2015
- [c18]Duc Nguyen, Richard Barella, Scott A. Wallace, Xinghui Zhao, Xiaodong Liang:
Smart grid line event classification using supervised learning over PMU data streams. IGSC 2015: 1-8 - [c17]Richard Barella, Duc Nguyen, Ryan Winter, Kuei-Ti Lu, Scott A. Wallace, Xinghui Zhao, Eduardo Cotilla Sanchez:
A Sensitivity Study of PMU-based Fault Detection on Smart Grid. SMARTGREENS 2015: 185-192 - [c16]Richard Barella, Duc Nguyen, Ryan Winter, Kuei-Ti Lu, Scott A. Wallace, Xinghui Zhao, Eduardo Cotilla Sanchez:
A Sensitivity Based Approach for Efficient PMU Deployment on Smart Grid. SMARTGREENS/VEHITS (Selected Papers) 2015: 199-215 - [i1]Jordan Landford, Rich Meier, Richard Barella, Xinghui Zhao, Eduardo Cotilla Sanchez, Robert B. Bass, Scott A. Wallace:
Fast Sequence Component Analysis for Attack Detection in Synchrophasor Networks. CoRR abs/1509.05086 (2015) - 2014
- [j3]Farhana Kabir, Travis Hall, Scott A. Wallace, David Chiu:
Elastic Resource Allocation for a Cloud-Based Web Caching System. Int. J. Next Gener. Comput. 5(1) (2014) - [c15]Scott A. Wallace, Bhadresh Patel, Landon Kryger, Susan Seley:
Machine Learning to Improve a Document Pipeline. FLAIRS 2014 - [c14]Eriko Otsuka, Scott A. Wallace, David Chiu:
Design and evaluation of a Twitter hashtag recommendation system. IDEAS 2014: 330-333 - 2013
- [c13]Scott A. Wallace, Evan Dickinson, Andrew Nuxoll:
Hashing for Lightweight Episodic Recall. AAAI Spring Symposium: Lifelong Machine Learning 2013 - 2010
- [j2]Scott A. Wallace, Robert McCartney, Ingrid Russell:
Games and machine learning: a powerful combination in an artificial intelligence course. Comput. Sci. Educ. 20(1): 17-36 (2010)
2000 – 2009
- 2009
- [j1]Scott A. Wallace:
Behavior Bounding: An Efficient Method for High-Level Behavior Comparison. J. Artif. Intell. Res. 34: 165-208 (2009) - [c12]Tony Mancill, Scott A. Wallace:
Confidence-based Tuning of Nomogram Predictions. FLAIRS 2009 - [c11]Scott A. Wallace, Ingrid Russell:
Robot Defense: Using the Java Instructional Game Engine in the Artificial Intelligence Classroom. FLAIRS 2009 - [c10]Mark Lewis, Scott T. Leutenegger, Michael Panitz, Kelvin Sung, Scott A. Wallace:
Introductory programming courses and computer games. SIGCSE 2009: 204-205 - 2008
- [c9]Scott A. Wallace, Ingrid Russell, Zdravko Markov:
Integrating games and machine learning in the undergraduate computer science classroom. GDCSE 2008: 56-60 - [c8]Scott A. Wallace, Matthew Henry:
Towards a Generic Infrastructure to Adjust the Autonomy of Soar Agents. FLAIRS 2008: 119-120 - [c7]Kelvin Sung, Michael Panitz, Scott A. Wallace, Ruth Anderson, John Nordlinger:
Game-themed programming assignments: the faculty perspective. SIGCSE 2008: 300-304 - 2007
- [c6]Scott A. Wallace:
Enabling Trust with Behavior Metamodels. AAAI Spring Symposium: Interaction Challenges for Intelligent Assistants 2007: 124-131 - [c5]Scott A. Wallace:
Enabling Trust with Behavior Metamodels. Interaction Challenges for Intelligent Assistants 2007: 124-131 - 2005
- [c4]Scott A. Wallace:
S-assess: a library for behavioral self-assessment. AAMAS 2005: 256-263 - [c3]Scott A. Wallace:
Abstract behavior representations for self-assessment. AAAI Spring Symposium: Metacognition in Computation 2005: 120-125 - 2003
- [b1]Scott A. Wallace:
Validating complex agent behavior. University of Michigan, USA, 2003 - [c2]Scott A. Wallace, John E. Laird:
Behavior Bounding: Toward Effective Comparisons of Agents & Humans. IJCAI 2003: 727-732
1990 – 1999
- 1999
- [c1]Scott A. Wallace, John E. Laird:
Toward a Methodology for AI Architecture Evaluation: Comparing Soar and CLIPS. ATAL 1999: 117-131
Coauthor Index
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