Adam D. Cobb

9 papers and 141 indexed citations i.

Adam D. Cobb has authored 9 papers that have received a total of 141 indexed citations. This includes 5 papers in Artificial Intelligence, 2 papers in Signal Processing and 1 paper in Astronomy and Astrophysics. The topics of these papers are Anomaly Detection Techniques and Applications (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Domain Adaptation and Few-Shot Learning (1 paper). Adam D. Cobb is often cited by papers focused on Anomaly Detection Techniques and Applications (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Domain Adaptation and Few-Shot Learning (1 paper) and collaborates with scholars based in United Kingdom, United States and Luxembourg. Adam D. Cobb's co-authors include Frank Soboczenski, Shawn Domagal‐Goldman, Brian Jalaian, Giada Arney and Simone Zorzan and has published in prestigious journals such as The Astronomical Journal, Entropy and The Planetary Science Journal