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

Multimodal Road Sign Interpretation for Autonomous Vehicles. - Joshua Lampkins; Darren Chan; Alan Perry; Sasha Strelnikoff; Jiejun Xu; Alireza Esna Ashari (IEEE Big Data, 2022)

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)

Towards the Semantic Interpretation of Arbitrary Traffic Signs: Semantic Parsing for Action-oriented Signs. - Sasha Strelnikoff; Jiejun Xu; Alireza Esna Ashari (ICMLA, 2023)

A Unified Language Model Approach for the Semantic Interpretation of Traffic Signs. - Sasha Strelnikoff; Neha Pullabhotla; Jiejun Xu; Alireza Esna Ashari (IEEE Big Data, 2024)