Studying the Role of Kinect as a Multi-Sensory Learning Platform for Children. - Harsh Sinha; Shivin Srivastava; Yash Sinha (UbiComp/ISWC Adjunct, 2018)

On the Learning Capabilities of Recurrent Neural Networks: A Cryptographic Perspective. - Shivin Srivastava; Ashutosh Bhatia (ICBK, 2018)

Extracting Addresses from Unstructured Text Using Bi-directional Recurrent Neural Networks. - Shivin Srivastava (ICDM Workshops, 2018)

CAC: A Clustering Based Framework for Classification. - Shivin Srivastava; Siddharth Bhatia 001; Lingxiao Huang; Lim Jun Heng; Kenji Kawaguchi; Vaibhav Rajan (CoRR, 2021)

MemStream: Memory-Based Anomaly Detection in Multi-Aspect Streams with Concept Drift. - Siddharth Bhatia 001; Arjit Jain; Shivin Srivastava; Kenji Kawaguchi; Bryan Hooi (CoRR, 2021)

MemStream: Memory-Based Streaming Anomaly Detection. - Siddharth Bhatia 001; Arjit Jain; Shivin Srivastava; Kenji Kawaguchi; Bryan Hooi (WWW, 2022)

ExpertNet: A Symbiosis of Classification and Clustering. - Shivin Srivastava; Kenji Kawaguchi; Vaibhav Rajan (CoRR, 2022)

ExpertNet: A Deep Learning Approach to Combined Risk Modeling and Subtyping in Intensive Care Units. - Shivin Srivastava; Vaibhav Rajan (IEEE J. Biomed. Health Informatics, 2023)