Publications
An Empirical Investigation of Bias in the Multimodal Analysis of Financial Earnings Calls.
Ramit Sawhney, Arshiya Aggarwal, Rajiv Ratn Shah
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2021), (pp. 3751–3757)
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
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), (pp. 8001-8013)
Risk Forecasting from Earnings Calls Acoustics and Network Correlations
Ramit Sawhney, Arshiya Aggarwal, Piyush Khanna, Puneet Mathur, Taru Jain, Rajiv Ratn Shah
Proceedings of Interspeech 2020, (pp. 2307-2311)
A Novel Hybrid Architecture for Classification of Power Quality Disturbances
Arshiya Aggarwal, Nisheet Das, Mansi Arora, M.M. Tripathi
Proceedings of 6th International Conference on Control, Decision and Information Technologies (IEEE-CoDIT 2019)
Attention-Guided Deep Convolutional Neural Networks for Skin Cancer Classification
Arshiya Aggarwal, Nisheet Das, Indu Sreedevi
Proceedings of 9th International Conference on Image Processing Theory, Tools and Applications (IEEE-IPTA 2020) (pp. 1-6)
Financial time-series forecasting: from neural networks to dilated convolutions
Bhumika Gupta, Monica Singhania, Arshiya Aggarwal
Proceedings of 78th Annual Meeting of the Academy of Management, Aug 2018, Chicago, Illinois, United States (AOM 2018) (hal-02337821)