Modeling Hybrid Indicators for Stock Index Prediction. - R. Arjun 001; K. R. Suprabha 001 (ISDA (1), 2018)

Forecasting banking sectors in Indian stock markets using machine intelligence. - R. Arjun 001; K. R. Suprabha 001 (Int. J. Hybrid Intell. Syst., 2019)

Deep Learning for Stock Index Tracking: Bank Sector Case. - R. Arjun 001; K. R. Suprabha 001; Ritanjali Majhi (FICTA (1), 2020)

Innovation and Challenges of Blockchain in Banking: A Scientometric View. - R. Arjun 001; K. R. Suprabha 001 (Int. J. Interact. Multim. Artif. Intell., 2020)

A Bibliometric Review of Stock Market Prediction: Perspective of Emerging Markets. - Arjun Remadevi Somanathan; Suprabha Kudigrama Rama (Appl. Comput. Syst., 2020)

Network Intrusion Detection with StackNet: A phi coefficient Based Weak Learner Selection Approach. - Isaac Kofi Nti; Owusu Nyarko-Boateng; Adebayo Felix Adekoya; R. Arjun 001 (ACIT, 2021)

Developing banking intelligence in emerging markets: Systematic review and agenda. - R. Arjun 001; Abhisek Kuanr; K. R. Suprabha 001 (Int. J. Inf. Manag. Data Insights, 2021)

Stacknet based decision fusion classifier for network intrusion detection. - Isaac Kofi Nti; Owusu Narko-Boateng; Adebayo Felix Adekoya; Arjun Remadevi Somanathan (Int. Arab J. Inf. Technol., 2022)

A Scalable RF-XGBoost Framework for Financial Fraud Mitigation. - Isaac Kofi Nti; Arjun Remadevi Somanathan (IEEE Trans. Comput. Soc. Syst., 2024)