Contributions of MIR to Soundscape Ecology. Part 2: Spectral timbral analysis for discriminating soundscape components. - Kristen Bellisario; Jack VanSchaik; Zhao Zhao; Amandine Gasc; Hichem Omrani; Bryan C. Pijanowski (Ecol. Informatics, 2019)

Quantifying Uncertainty in Patient Count Metrics Derived from Imperfect EHR-based Phenotypes. - Jack VanSchaik; Sunandan Chakraborty (AMIA, 2021)

Mining Latent Disease Factors from Medical Literature using Causality. - Pranav Gujarathi; Jack VanSchaik; Venkata Mani Babu Karri; Anushri Singh Rajapuri; Biju Cheriyan; Thankam P. Thyvalikakath; Sunandan Chakraborty (IEEE Big Data, 2022)

Note: Using Causality to Mine Sjögren's Syndrome related Factors from Medical Literature. - Pranav Dhananjay Gujarathi; Sai Krishna Reddy Gopi Reddy; Venkata Mani Babu Karri; Ananth Reddy Bhimireddy; Anushri Singh Rajapuri; Manohar Reddy; Mounika Sabbani; Biju Cheriyan; Jack VanSchaik; Thankam Thyvalikakath; Sunandan Chakraborty (COMPASS, 2022)

Time-series forecasting offers novel quantitative measure to assess loud sound event in an urban park with restored prairie. - Kristen Bellisario; Laura Jessup; Jack VanSchaik; John B. Dunning; Cristian Graupe; David Savage; Bryan C. Pijanowski (Ecol. Informatics, 2023)

An Empirical Study of Causal Relation Extraction Transfer: Design and Data. - Sydney Anuyah; Jack VanSchaik; Palak Jain 007; Sawyer Lehman; Sunandan Chakraborty (CoRR, 2025)