Discovering Similar Spike Patterns in High Dimensional Biomedical Signals. - Sikder Tahsin Al-Amin; Robin Varghese; David Lloyd; Maria A. Gonzalez-Gonzalez; Mario I. Romero-Ortega; Carlos Ordonez 001 (IEEE Big Data, 2022)

A Different VIM: Visualizing Incremental Machine Learning. - Sikder Tahsin Al-Amin; Mohammad Imtiaz Nur; Aisha Farooque; Guoning Chen; Robin Varghese; Carlos Ordonez 001 (CIKM, 2022)

Understanding Data Pre-processing with a Hybrid Diagram Integrating ER and Data Flow Notation. - Robin Varghese; Carlos Ordonez 001 (IEEE Big Data, 2023)

Improving Stochastic Gradient Descent Initializing with Data Summarization. - Robin Varghese; Carlos Ordonez 001 (DaWaK, 2023)

Smart Hospital Setups with IoT-Enabled Connectivity of Artificial Intelligence System. - Vella Satyanarayana; Mahesh Kumar Singh; Robin Varghese (ACI@ICAIDS, 2023)

Growing a FLOWER: Building a Diagram Unifying Flow and ER Notation for Data Science. - Carlos Ordonez 001; Robin Varghese; Nguyen Phan; Wojciech Macyna (HILDA@SIGMOD, 2024)

A distributional reinforcement learning model for optimal glucose control after cardiac surgery. - Jacob Desman; Zhang-Wei Hong; Moein Sabounchi; Ashwin S. Sawant; Jaskirat Gill; Ana C. Costa; Gagan Kumar; Rajeev Sharma; Arpeta Gupta; Paul McCarthy; Veena Nandwani; Doug Powell; et al. (npj Digit. Medicine, 2025)