Bryan L. Matthews

According to our database1, Bryan L. Matthews authored at least 14 papers between 2009 and 2017.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2017
ASK-the-Expert: Active Learning Based Knowledge Discovery Using the Expert.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Finding Precursors to Anomalous Drop in Airspeed During a Flight's Takeoff.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016
Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems.
J. Aerosp. Inf. Syst., 2016

Discovery of Precursors to Adverse Events using Time Series Data.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Active Learning with Rationales for Identifying Operationally Significant Anomalies in Aviation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Semi-Markov Switching Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015
Large scale support vector regression for aviation safety.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms.
J. Aerosp. Inf. Syst., 2014

2012
Aircraft anomaly detection using performance models trained on fleet data.
Proceedings of the 2012 Conference on Intelligent Data Understanding, 2012

2011
Algorithms for speeding up distance-based outlier detection.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Detecting Abnormal Machine Characteristics in Cloud Infrastructures.
Proceedings of the Data Mining Workshops (ICDMW), 2011

2010
Multiple kernel learning for heterogeneous anomaly detection: algorithm and aviation safety case study.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009
Unsupervised Anomaly Detection for Liquid-Fueled Rocket Propulsion Health Monitoring.
J. Aerosp. Comput. Inf. Commun., 2009

Bringing web 2.0 to government research: a case study.
Proceedings of the 27th International Conference on Human Factors in Computing Systems, 2009


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