Daniel Mack
Daniel Mack
Kansas City Royals
Verified email at
Cited by
Cited by
Learning bayesian network structures to augment aircraft diagnostic reference models
DLC Mack, G Biswas, XD Koutsoukos, D Mylaraswamy
IEEE Transactions on Automation Science and Engineering 14 (1), 358-369, 2016
Mining temporally-interesting learning behavior patterns
J Kinnebrew, D Mack, G Biswas
Educational Data Mining 2013, 2013
Deriving bayesian classifiers from flight data to enhance aircraft diagnosis models
DLC Mack, G Biswas, XD Koutsoukos, D Mylaraswamy, G Hadden
Annual Conference of the PHM Society 3 (1), 2011
Using machine learning to maintain pub/sub system qos in dynamic environments
J Hoffert, D Mack, D Schmidt
Proceedings of the 8th international workshop on adaptive and reflective …, 2009
Integrating machine learning techniques to adapt protocols for QoS-enabled distributed real-time and embedded publish/subscribe Middleware.
J Hoffert, DLC Mack, DC Schmidt
Netw. Protoc. Algorithms 2 (3), 37-69, 2010
Using Tree Augmented Naıve Bayes Classifiers to Improve Engine Fault Models
DLC Mack, G Biswas, XD Koutsoukos, D Mylaraswamy
Uncertainty in Artificial Intelligence: Bayesian Modeling Applications Workshop, 2011
How do students’ learning behaviors evolve in Scaffolded Open-Ended Learning Environments?
G Biswas, JS Kinnebrew, DLC Mack
Proceedings of the 21st International Conference on Computers in Education, 2013
Vehicle integrated prognostic reasoner (vipr) final report
R Bharadwaj, D Mylaraswamy, D Cornhill, G Biswas, X Koutsoukos, ...
Combining expert knowledge and unsupervised learning techniques for anomaly detection in aircraft flight data
DLC Mack, G Biswas, H Khorasgani, D Mylaraswamy, R Bharadwaj
at-Automatisierungstechnik 66 (4), 291-307, 2018
Anomaly detection from complex temporal sequences in large data
DLC Mack
Vanderbilt University, 2013
Benchmarking the vehicle integrated prognostic reasoner
X Koutsoukos, G Biswas, DA Mylaraswamy, GD Hadden, D Mack, ...
Annual Conference of the PHM Society 2 (1), 2010
Activity Mining in Open Source Software
D Mack, NV Chawla, G Madey
Accepted in NAACSOS, 2005
A differential approach for identifying important student learning behavior patterns with evolving usage over time
JS Kinnebrew, DLC Mack, G Biswas, CK Chang
Pacific-Asia conference on knowledge discovery and data mining, 281-292, 2014
Data mining for anomaly detection
G Biswas, D Mack, D Mylaraswamy, R Bharadwaj
Vehicle Integrated Prognostic Reasoner (VIPR) 2010 Annual Final Report
GD Hadden, D Mylaraswamy, C Schimmel, G Biswas, X Koutsoukos, ...
Using machine learning to maintain qos for large-scale publish/subscribe systems in dynamic environments
J Hoffert, D Mack, D Schmidt
8th Work shop on Adaptive and Reflective Middleware, 1-5, 2009
Case Studies: Use of Big Data for Condition Monitoring
R Bharadwaj, D Mylaraswamy, A Vechart, M Smith, P Figliozzi, G Biswas, ...
American Helicopter Society International-Airworthiness, CBM and HUMS …, 2015
A Differential Temporal Interestingness Measure for Identifying the Learning Behavior Effects of Scaffolding.
JS Kinnebrew, DLC Mack, G Biswas
AIED Workshops, 2013
Fault isolation for spacecraft systems: An application to a power distribution testbed
JD Carl, DLC Mack, A Tantawy, G Biswas, XD Koutsoukos
IFAC Proceedings Volumes 45 (20), 168-173, 2012
Coordination of Planning and Scheduling Techniques for a Distributed, Multi-level, Multi-agent System.
JS Kinnebrew, DLC Mack, G Biswas, DC Schmidt
ICAART (2), 184-191, 2010
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