| 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 | 43 | 2016 |
| Mining temporally-interesting learning behavior patterns J Kinnebrew, D Mack, G Biswas Educational Data Mining 2013, 2013 | 22 | 2013 |
| 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 | 16 | 2009 |
| 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 | 14 | 2011 |
| 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 | 14 | 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 …, 2011 | 10 | 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 | 9 | 2013 |
| Vehicle integrated prognostic reasoner (vipr) final report R Bharadwaj, D Mylaraswamy, D Cornhill, G Biswas, X Koutsoukos, ... | 9 | 2013 |
| 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 | 7 | 2018 |
| A differential approach for identifying important student learning behavior patterns with evolving usage over time JS Kinnebrew, DLC Mack, G Biswas, CK Chang Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2014 …, 2014 | 7 | 2014 |
| 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 | 5 | 2010 |
| Anomaly detection from complex temporal sequences in large data DLC Mack Vanderbilt University, 2013 | 4 | 2013 |
| Activity Mining in Open Source Software D Mack, NV Chawla, G Madey Accepted in NAACSOS, 2005 | 4 | 2005 |
| Data mining for anomaly detection G Biswas, D Mack, D Mylaraswamy, R Bharadwaj | 2 | 2013 |
| Vehicle Integrated Prognostic Reasoner (VIPR) 2010 Annual Final Report GD Hadden, D Mylaraswamy, C Schimmel, G Biswas, X Koutsoukos, ... | 2 | 2011 |
| 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 | 2 | 2009 |
| A Differential Temporal Interestingness Measure for Identifying the Learning Behavior Effects of Scaffolding JS Kinnebrew, DLC Mack, G Biswas AIED 2013 Workshops Proceedings Volume 2 Scaffolding in Open-Ended Learning …, 2013 | 1 | 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 | 1 | 2012 |
| Case Studies: Use of Big Data for Condition Monitoring R Bharadwaj, D Mylaraswamy, A Vechart, M Smith, P Figliozzi, G Biswas, ... | | 2015 |
| COORDINATION OF PLANNING AND SCHEDULING TECHNIQUES FOR A DISTRIBUTED, MULTI-LEVEL, MULTI-AGENT SYSTEM JS Kinnebrew, DLC Mack, G Biswas, DC Schmidt International Conference on Agents and Artificial Intelligence 2, 184-191, 2010 | | 2010 |
Gautam BiswasCornelius Vanderbilt Professor of Engineering; Professor of Computer Science and EngineeringDirección de correo verificada de vanderbilt.edu
