Detection of causally anomalous time-series M Apte, S Vaishampayan, GK Palshikar International Journal of Data Science and Analytics 11, 141-153, 2021 | 9 | 2021 |
Unsupervised Detection of Misinformation in Financial Statements A Shinde The International FLAIRS Conference Proceedings 35, 2022 | 2 | 2022 |
Causality: An Overlooked Aspect in Anomaly Detection S Vaishampayan, GK Palshikar, M Apte, VZ Attar TENCON 2019-2019 IEEE Region 10 Conference (TENCON), 2413-2417, 2019 | 2 | 2019 |
Explainability for Misinformation in Financial Statements S Vaishampayan, A Shinde, A Pawde, S Pawar, M Apte, GK Palshikar Proceedings of the CIKM 2022 AIMLAI Workshop co-located with 31st ACM …, 2022 | 1 | 2022 |
Causality in Time-Series: A Short Review GK Palshikar, M Apte, S Vaishampayan, A Shinde Data Science and Intelligent Computing Techniques, SCRS, India, 2023, 723-748, 2023 | | 2023 |
Audit Report Coverage Assessment using Sentence Classification S Vaishampayan, N Ramrakhiyani, S Pawar, A Pawde, M Apte, ... Proceedings of the Sixth Workshop on Financial Technology and Natural …, 2023 | | 2023 |
Dig Here! Extracting and Using Knowledge from Financial Audit Reports S Pawar, M Apte, A Pawde, S Vaishampayan, G Palshikar, A Shinde The International FLAIRS Conference Proceedings 36, 2023 | | 2023 |
Needle in a Haystack: Generating Audit Hypotheses for Clinical Audits of Hospitals A Pawde, S Vaishampayan, A Shinde, M Apte, GK Palshikar, A Jamkar SN Computer Science 3 (5), 407, 2022 | | 2022 |
Data Envelopment Analysis for Energy Audits of Housing Properties S Vaishampayan, A Pawde, A Shinde, M Apte, GK Palshikar Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | | 2021 |