Towards Data Mining Temporal Patterns for Anomaly Intrusion Detection Systems. - Sam Sengupta; Bruno Andriamanalimanana; Stuart W. Card; Pradnya Kadam; Saket Ranwadkar; Kaustav Das; Sagar Parikh (Int. J. Comput., 2003)

Belief state approaches to signaling alarms in surveillance systems. - Kaustav Das; Andrew W. Moore 001; Jeff G. Schneider (KDD, 2004)

Detecting anomalous records in categorical datasets. - Kaustav Das; Jeff G. Schneider (KDD, 2007)

Anomaly pattern detection in categorical datasets. - Kaustav Das; Jeff G. Schneider; Daniel B. Neill (KDD, 2008)

Decentralised bilateral trading, competition for bargaining partners and the "law of one price". - Kalyan Chatterjee; Kaustav Das (Int. J. Game Theory, 2015)

Bilateral trading and incomplete information: Price convergence in a small market. - Kalyan Chatterjee; Kaustav Das (Games Econ. Behav., 2017)

Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point. - Bita Darvish Rouhani; Daniel Lo; Ritchie Zhao; Ming Liu; Jeremy Fowers; Kalin Ovtcharov; Anna Vinogradsky; Sarah Massengill; Lita Yang; Ray Bittner; Alessandro Forin; Haishan Zhu; et al. (NeurIPS, 2020)

Are robots perceived as good decision makers? A study investigating trust and preference of robotic and human linesman-referees in football. - Kaustav Das; Yixiao Wang 003; Keith E. Green (Paladyn J. Behav. Robotics, 2021)

Need for Vision: A data-centric approach towards analysing impact of COVID-19. - Kaustav Das (FIRE (Working Notes), 2022)

Vaccine Vision: A deep learning approach towards identifying societal concerns regarding vaccines. - Kaustav Das (FIRE (Working Notes), 2023)