Anomaly Detection in General-Aviation Operations Using Energy Metrics and Flight-Data Records. - Tejas G. Puranik; Dimitri N. Mavris (J. Aerosp. Inf. Syst., 2018)

Identification of Instantaneous Anomalies in General Aviation Operations Using Energy Metrics. - Tejas G. Puranik; Dimitri N. Mavris (J. Aerosp. Inf. Syst., 2020)

Multi-Class Multiple Instance Learning for Predicting Precursors to Aviation Safety Events. - Marc-Henri Bleu-Laine; Tejas G. Puranik; Dimitri N. Mavris; Bryan Matthews (CoRR, 2021)

Deep Spatio-Temporal Neural Networks for Risk Prediction and Decision Support in Aviation Operations. - Hyunki Lee; Tejas G. Puranik; Dimitri N. Mavris (J. Comput. Inf. Sci. Eng., 2021)

Application of structural topic modeling to aviation safety data. - Rodrigo L. Rose; Tejas G. Puranik; Dimitri N. Mavris; Arjun H. Rao (Reliab. Eng. Syst. Saf., 2022)

Multiclass Multiple-Instance Learning for Predicting Precursors to Aviation Safety Events. - Marc-Henri Bleu-Laine; Tejas G. Puranik; Dimitri N. Mavris; Bryan Matthews (J. Aerosp. Inf. Syst., 2022)