Daniel L. C. Mack

According to our database, Daniel L. C. Mack authored at least 9 papers between 2009 and 2018.

Collaborative distances:

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

2018

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

2017

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

2014

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

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2014

2013

Anomaly Detection from Complex Temporal Sequences in Large Data.

Daniel Leif Campana Mack

PhD thesis, 2013

Mining Temporally-Interesting Learning Behavior Patterns.

John S. Kinnebrew, Daniel L. C. Mack, Gautam Biswas

Proceedings of the 6th International Conference on Educational Data Mining, 2013

A Differential Temporal Interestingness Measure for Identifying the Learning Behavior Effects of Scaffolding.

John S. Kinnebrew, Daniel L. C. Mack, Gautam Biswas

Proceedings of the Workshops at the 16th International Conference on Artificial Intelligence in Education AIED 2013, 2013

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

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

Proceedings of the ICAART 2010 - Proceedings of the International Conference on Agents and Artificial Intelligence, Volume 2, 2010

2009

Using machine learning to maintain pub/sub system QoS in dynamic environments.

Joe Hoffert, Daniel L. C. Mack, Douglas C. Schmidt

Proceedings of the 8th Workshop on Adaptive and Reflective Middleware, 2009