Large scale microbiome profiling in the cloud. - Camilo Valdes; Vitalii Stebliankin; Giri Narasimhan (Bioinform., 2019)

EXP4-DFDC: A Non-Stochastic Multi-Armed Bandit for Cache Replacement. - Farzana Beente Yusuf; Camilo Valdes; Vitalii Stebliankin; Giuseppe Vietri; Giri Narasimhan (CoRR, 2020)

Explainable Parallel RCNN with Novel Feature Representation for Time Series Forecasting. - Jimeng Shi; Rukmangadh Myana; Vitalii Stebliankin; Azam Shirali; Giri Narasimhan (AALTD@ECML/PKDD, 2023)

Graph Transformer Network for Flood Forecasting with Heterogeneous Covariates. - Jimeng Shi; Vitalii Stebliankin; Zhaonan Wang 001; Shaowen Wang 001; Giri Narasimhan (CoRR, 2023)

The Power of Explainability in Forecast-Informed Deep Learning Models for Flood Mitigation. - Jimeng Shi; Vitalii Stebliankin; Giri Narasimhan (CoRR, 2023)

Microbiome maps: Hilbert curve visualizations of metagenomic profiles. - Camilo Valdes; Vitalii Stebliankin; Daniel Ruiz-Perez; Ji In Park; Hajeong Lee; Giri Narasimhan (Frontiers Bioinform., 2023)

Evaluating protein binding interfaces with transformer networks. - Vitalii Stebliankin; Azam Shirali; Prabin Baral; Jimeng Shi; Prem Chapagain; Kalai Mathee; Giri Narasimhan (Nat. Mac. Intell., 2023)

A comprehensive survey of scoring functions for protein docking models. - Azam Shirali; Vitalii Stebliankin; Ukesh Karki; Jimeng Shi; Prem Chapagain; Giri Narasimhan (BMC Bioinform., 2025)