Bryan L. Matthews

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

Collaborative distances:

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

2017

ASK-the-Expert: Active Learning Based Knowledge Discovery Using the Expert.

Kamalika Das, Ilya Avrekh, Bryan L. Matthews, Manali Sharma, Nikunj C. Oza

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Finding Precursors to Anomalous Drop in Airspeed During a Flight's Takeoff.

Vijay Manikandan Janakiraman, Bryan L. Matthews, Nikunj C. Oza

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.

Igor Melnyk, Bryan L. Matthews, Hamed Valizadegan, Arindam Banerjee, Nikunj C. Oza

J. Aerosp. Inf. Syst., 2016

Discovery of Precursors to Adverse Events using Time Series Data.

Vijay Manikandan Janakiraman, Bryan L. Matthews, Nikunj C. Oza

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Active Learning with Rationales for Identifying Operationally Significant Anomalies in Aviation.

Manali Sharma, Kamalika Das, Mustafa Bilgic, Bryan L. Matthews, David Nielsen, Nikunj C. Oza

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Semi-Markov Switching Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems.

Igor Melnyk, Arindam Banerjee, Bryan L. Matthews, Nikunj C. Oza

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015

Large scale support vector regression for aviation safety.

Kamalika Das, Kanishka Bhaduri, Bryan L. Matthews, Nikunj C. Oza

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2013

Discovering Anomalous Aviation Safety Events Using Scalable Data Mining Algorithms.

Bryan L. Matthews, Santanu Das, Kanishka Bhaduri, Kamalika Das, Rodney Martin, Nikunj C. Oza

J. Aerosp. Inf. Syst., 2013

2012

Aircraft anomaly detection using performance models trained on fleet data.

Dimitry Gorinevsky, Bryan L. Matthews, Rodney Martin

Proceedings of the 2012 Conference on Intelligent Data Understanding, 2012

2011

Algorithms for speeding up distance-based outlier detection.

Kanishka Bhaduri, Bryan L. Matthews, Chris Giannella

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Detecting Abnormal Machine Characteristics in Cloud Infrastructures.

Kanishka Bhaduri, Kamalika Das, Bryan L. Matthews

Proceedings of the Data Mining Workshops (ICDMW), 2011

2010

Multiple kernel learning for heterogeneous anomaly detection: algorithm and aviation safety case study.

Santanu Das, Bryan L. Matthews, Ashok N. Srivastava, Nikunj C. Oza

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.

Mark Schwabacher, Nikunj C. Oza, Bryan L. Matthews

J. Aerosp. Comput. Inf. Commun., 2009

Bringing web 2.0 to government research: a case study.

Francesca A. Barrientos, Elizabeth A. Foughty, Dawn M. McIntosh, Bryan L. Matthews

Proceedings of the 27th International Conference on Human Factors in Computing Systems, 2009