A novel hybrid architecture for classification of power quality disturbances. - Arshiya Aggarwal; Nisheet Das; Mansi Arora; Madan Mohan Tripathi (CoDIT, 2019)

Attention-guided deep convolutional neural networks for skin cancer classification. - Arshiya Aggarwal; Nisheet Das; Indu Sreedevi (IPTA, 2019)

VolTAGE: Volatility Forecasting via Text Audio Fusion with Graph Convolution Networks for Earnings Calls. - Ramit Sawhney; Piyush Khanna; Arshiya Aggarwal; Taru Jain; Puneet Mathur; Rajiv Ratn Shah (EMNLP (1), 2020)

Risk Forecasting from Earnings Calls Acoustics and Network Correlations. - Ramit Sawhney; Arshiya Aggarwal; Piyush Khanna; Puneet Mathur; Taru Jain; Rajiv Ratn Shah (INTERSPEECH, 2020)

An Empirical Investigation of Bias in the Multimodal Analysis of Financial Earnings Calls. - Ramit Sawhney; Arshiya Aggarwal; Rajiv Ratn Shah (NAACL-HLT, 2021)

Towards Robust NLG Bias Evaluation with Syntactically-diverse Prompts. - Arshiya Aggarwal; Jiao Sun; Nanyun Peng 001 (EMNLP (Findings), 2022)