Using machine learning to maintain pub/sub system QoS in dynamic environments. - Joe Hoffert; Daniel L. C. Mack; Douglas C. Schmidt (ARM, 2009)

Coordination of Planning and Scheduling Techniques for a Distributed, Multi-level, Multi-agent System. - John S. Kinnebrew; Daniel L. C. Mack; Gautam Biswas; Douglas C. Schmidt (ICAART (2), 2010)

Integrating Machine Learning Techniques to Adapt Protocols for QoS-enabled Distributed Real-time and Embedded Publish/Subscribe Middleware. - Joe Hoffert; Daniel L. C. Mack; Douglas C. Schmidt (Netw. Protoc. Algorithms, 2010)

A Differential Temporal Interestingness Measure for Identifying the Learning Behavior Effects of Scaffolding. - John S. Kinnebrew; Daniel L. C. Mack; Gautam Biswas (AIED Workshops, 2013)

Mining Temporally-Interesting Learning Behavior Patterns. - John S. Kinnebrew; Daniel L. C. Mack; Gautam Biswas (EDM, 2013)

How do students' learning behaviors evolve in Scaffolded Open-Ended Learning Environments? - Gautam Biswas; John S. Kinnebrew; Daniel L. C. Mack (ICCE, 2013)

Anomaly Detection from Complex Temporal Sequences in Large Data. - Daniel Leif Campana Mack (2013)

A Differential Approach for Identifying Important Student Learning Behavior Patterns with Evolving Usage over Time. - John S. Kinnebrew; Daniel L. C. Mack; Gautam Biswas; Chih-Kai Chang (PAKDD Workshops, 2014)

Learning Bayesian Network Structures to Augment Aircraft Diagnostic Reference Models. - Daniel L. C. Mack; Gautam Biswas; Xenofon D. Koutsoukos; Dinkar Mylaraswamy (IEEE Trans Autom. Sci. Eng., 2017)

Combining expert knowledge and unsupervised learning techniques for anomaly detection in aircraft flight data. - Daniel L. C. Mack; Gautam Biswas; Hamed Khorasgani; Dinkar Mylaraswamy; Raj Bharadwaj (Autom., 2018)