| Collusion set detection using graph clustering GK Palshikar, MM Apte Data mining and knowledge Discovery 16, 135-164, 2008 | 115 | 2008 |
| Association rules mining using heavy itemsets GK Palshikar, MS Kale, MM Apte Data & Knowledge Engineering 61 (1), 93-113, 2007 | 59 | 2007 |
| Frauds in online social networks: A review M Apte, GK Palshikar, S Baskaran Social networks and surveillance for society, 1-18, 2019 | 29 | 2019 |
| Finding shell company accounts using anomaly detection DK Luna, GK Palshikar, M Apte, A Bhattacharya Proceedings of the ACM India Joint International Conference on Data Science …, 2018 | 21 | 2018 |
| Weakly supervised and online learning of word models for classification to detect disaster reporting tweets GK Palshikar, M Apte, D Pandita Information Systems Frontiers 20, 949-959, 2018 | 16 | 2018 |
| Financial security against money laundering: A survey GK Palshikar, M Apte Emerging trends in ICT security, 577-590, 2014 | 16 | 2014 |
| HiSPEED: a system for mining performance appraisal data and text GK Palshikar, M Apte, S Pawar, N Ramrakhiyani International Journal of Data Science and Analytics 8, 95-111, 2019 | 13 | 2019 |
| Weakly Supervised Classification of Tweets for Disaster Management. GK Palshikar, M Apte, D Pandita SMERP@ ECIR, 4-13, 2017 | 9 | 2017 |
| Detection of causally anomalous time-series M Apte, S Vaishampayan, GK Palshikar International Journal of Data Science and Analytics 11, 141-153, 2021 | 7 | 2021 |
| Learning to Identify Subjective Sentences GK Palshikar, M Apte, D Pandita, V Singh 13th International Conference on Natural Language Processing (ICON 2016 …, 2016 | 7 | 2016 |
| Aspects from appraisals!! a label propagation with prior induction approach N Ramrakhiyani, S Pawar, GK Palshikar, M Apte Natural Language Processing and Information Systems: 21st International …, 2016 | 7 | 2016 |
| System and method for performing root cause analysis on unstructured data MM Apte, SS Pawar, GK Palshikar, S Baskaran, AM Aaeer US Patent App. 15/299,069, 2017 | 5 | 2017 |
| Analytics for detection of money laundering GK Palshikar, M Apte, S Baskaran TCS Technical Architects Conference (TACTiCS 2014) Affilication: Tata …, 2014 | 5 | 2014 |
| Robust collaborative fraudulent transaction detection using federated learning D Myalil, MA Rajan, M Apte, S Lodha 2021 20th IEEE International Conference on Machine Learning and Applications …, 2021 | 4 | 2021 |
| System for standardization of goal setting in performance appraisal process MM Apte, S Pawar, GK Palshikar, S Baskaran, AM Aaeer, D Pandita US Patent 10,699,236, 2020 | 4 | 2020 |
| Short Text Matching in Performance Management M Apte, S Pawar, S Patil, S Baskaran, A Shrivastava, G Palshikar 21st International Conference on Management of Data (COMAD 2016), 13-23, 2016 | 4 | 2016 |
| Synthesizing data for collusion-based malpractice of shell companies in money laundering A Pawde, M Apte, GK Palshikar, V Attar 2018 4th International Conference for Convergence in Technology (I2CT), 1-5, 2018 | 2 | 2018 |
| Unsupervised Detection of Misinformation in Financial Statements A Shinde, S Vaishampayan, M Apte, GK Palshikar The International FLAIRS Conference Proceedings 35, 2022 | 1 | 2022 |
| Explainability for Misinformation in Financial Statements S Vaishampayan, A Shinde, A Pawde, S Pawar, M Apte, GK Palshikar Proceedings of the CIKM AIMLAI 2022 Workshop co-located with 31st ACM …, 2022 | 1 | 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 | 1 | 2019 |
Girish Keshav PalshikarTCS Research, Tata Consultancy Services Limited, Pune, IndiaVerified email at tcs.com
