SPEAKER: Split-Phase Execution of Application Containers. - Lingguang Lei; Jianhua Sun; Kun Sun 001; Chris Shenefiel; Rui Ma; Yuewu Wang; Qi Li 002 (DIMVA, 2017)

Learning to Identify Security-Related Issues Using Convolutional Neural Networks. - David N. Palacio; Daniel McCrystal; Kevin Moran; Carlos Bernal-Cárdenas; Denys Poshyvanyk; Chris Shenefiel (ICSME, 2019)

Automated IoT Device Fingerprinting Through Encrypted Stream Classification. - Jianhua Sun; Kun Sun 001; Chris Shenefiel (SecureComm (1), 2019)

Good systems, bad data?: Interpretations of AI hype and failures. - Stephen C. Slota; Kenneth R. Fleischmann; Sherri R. Greenberg; Nitin Verma; Brenna Cummings; Lan Li 003; Chris Shenefiel (ASIST, 2020)

Improving the effectiveness of traceability link recovery using hierarchical bayesian networks. - Kevin Moran; David N. Palacio; Carlos Bernal-Cárdenas; Daniel McCrystal; Denys Poshyvanyk; Chris Shenefiel; Jeff Johnson (ICSE, 2020)

Something New Versus Tried and True: Ensuring 'Innovative' AI is 'Good' AI. - Stephen C. Slota; Kenneth R. Fleischmann; Sherri R. Greenberg; Nitin Verma; Brenna Cummings; Lan Li 003; Chris Shenefiel (iConference (1), 2021)

Locating the work of artificial intelligence ethics. - Stephen C. Slota; Kenneth R. Fleischmann; Sherri R. Greenberg; Nitin Verma; Brenna Cummings; Lan Li 003; Chris Shenefiel (J. Assoc. Inf. Sci. Technol., 2023)

Many hands make many fingers to point: challenges in creating accountable AI. - Stephen C. Slota; Kenneth R. Fleischmann; Sherri R. Greenberg; Nitin Verma; Brenna Cummings; Lan Li 003; Chris Shenefiel (AI Soc., 2023)