Discriminative Basis Selection Using Non-negative Matrix Factorization. - Aruna Jammalamadaka; Swapna Joshi; Shanmugavadivel Karthikeyan; B. S. Manjunath (ICPR, 2010)

Statistical Analysis of Dendritic Spine Distributions in Rat Hippocampal Cultures. - Aruna Jammalamadaka; Sourav Banerjee; Kenneth S. Kosik; Bangalore S. Manjunath (BMC Bioinform., 2013)

Characterizing spatial distributions of astrocytes in the mammalian retina. - Aruna Jammalamadaka; Panuakdet Suwannatat; Steven K. Fisher; B. S. Manjunath; Tobias Höllerer; Gabriel Luna (Bioinform., 2015)

An Agent-Based Model of Posting Behavior During Times of Societal Unrest. - Krishna C. Bathina; Aruna Jammalamadaka; Jiejun Xu; Tsai-Ching Lu (SBP-BRiMS, 2017)

Automatic Rule Learning for Autonomous Driving Using Semantic Memory. - Dmitriy Korchev; Aruna Jammalamadaka; Rajan Bhattacharyya (CoRR, 2018)

MATRICS: A System for Human-Machine Hybrid Forecasting of Geopolitical Events. - David J. Huber; Samuel D. Johnson; Nigel Stepp; Aruna Jammalamadaka; Dana Warmsley; Tiffany Kim; Tsai-Ching Lu (IEEE BigData, 2019)

MATRICS: A System for Human-Machine Hybrid Forecasting of Geopolitical Events. - David J. Huber; Nigel Stepp; Aruna Jammalamadaka; Tiffany Kim; Sam Johnson; Dana Warmsley; Tsai-Ching Lu (IEEE BigData, 2019)

Causal Maps for Multi-Document Summarization. - Sasha Strelnikoff; Aruna Jammalamadaka; Dana Warmsley (IEEE BigData, 2020)

Causal Abstraction Via Emergence for Predicting Bilateral Trade. - Aruna Jammalamadaka; Dana Warmsley; Tsai-Ching Lu (CAWS, 2021)

Semantic Causal Abstraction for Event Prediction. - Sasha Strelnikoff; Aruna Jammalamadaka; Tsai-Ching Lu (CD-MAKE, 2022)

Semi-supervised Learning of Visual Causal Macrovariables. - Aruna Jammalamadaka; Lingyi Zhang; Joseph F. Comer; Sasha Strelnikoff; Ryan Mustari; Tsai-Ching Lu; Rajan Bhattacharyya (FLAIRS, 2023)

Causanom: Anomaly Detection With Flexible Causal Graphs. - Sasha Strelnikoff; Aruna Jammalamadaka; Tsai-Ching Lu (FLAIRS, 2023)