Daniel L. C. Mack - researchr alias

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Viewing Publication 1 - 8 from 8

2018

Combining expert knowledge and unsupervised learning techniques for anomaly detection in aircraft flight dataDaniel L. C. Mack, Gautam Biswas, Hamed Khorasgani, Dinkar Mylaraswamy, Raj Bharadwaj. at, 66(4):291-307, 2018. [doi]

2017

Learning Bayesian Network Structures to Augment Aircraft Diagnostic Reference ModelsDaniel L. C. Mack, Gautam Biswas, Xenofon D. Koutsoukos, Dinkar Mylaraswamy. tase, 14(1):358-369, 2017. [doi]

2014

A Differential Approach for Identifying Important Student Learning Behavior Patterns with Evolving Usage over TimeJohn S. Kinnebrew, Daniel L. C. Mack, Gautam Biswas, Chih-Kai Chang. pakdd 2014: 281-292 [doi]

2013

A Differential Temporal Interestingness Measure for Identifying the Learning Behavior Effects of ScaffoldingJohn S. Kinnebrew, Daniel L. C. Mack, Gautam Biswas. aied 2013: [doi]

Mining Temporally-Interesting Learning Behavior PatternsJohn S. Kinnebrew, Daniel L. C. Mack, Gautam Biswas. edm 2013: 252-255 [doi]

2010

Integrating Machine Learning Techniques to Adapt Protocols for QoS-enabled Distributed Real-time and Embedded Publish/Subscribe MiddlewareJoe Hoffert, Daniel L. C. Mack, Douglas C. Schmidt. npa, 2(3):37-69, 2010. [doi]

Coordination of Planning and Scheduling Techniques for a Distributed, Multi-level, Multi-agent SystemJohn S. Kinnebrew, Daniel L. C. Mack, Gautam Biswas, Douglas C. Schmidt. icaart 2010: 184-191

2009

Using machine learning to maintain pub/sub system QoS in dynamic environmentsJoe Hoffert, Daniel L. C. Mack, Douglas C. Schmidt. middleware 2009: 4 [doi]

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