Sulalitha Bowala

According to our database, Sulalitha Bowala authored at least 25 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Superiority of the Neural Network Models for Multivariate Price and Volatility Forecasting.

Avanthi Saumyamala, You Liang, Aerambamoorthy Thavaneswaran, Alex Paseka, Sulalitha Bowala, Ruppa K. Thulasiram

Proceedings of the 49th IEEE Annual Computers, Software, and Applications Conference, 2025

Superiority of RMT Filtered Data-Driven Covariance Matrix for Portfolio Optimization and Resilient Networks.

Avanthi Saumyamala, Sulalitha Bowala, Aerambamoorthy Thavaneswaran, You Liang, Alex Paseka, Ruppa K. Thulasiram

Proceedings of the 49th IEEE Annual Computers, Software, and Applications Conference, 2025

Novel Data Driven High Dimensional Volatility Networks and Dynamic Price Networks.

Avanthi Saumyamala, Sulalitha Bowala, Md. Erfanul Hoque, Aerambamoorthy Thavaneswaran, Alex Paseka, Ruppa K. Thulasiram

Proceedings of the 49th IEEE Annual Computers, Software, and Applications Conference, 2025

Statistical and Deep Learning Approaches for Risk Assessment and Volatility Forecasting in Renewable Energy Investments.

Shalini Jayanetti, Sulalitha Bowala, Sumeet Kalia, Aerambamoorthy Thavaneswaran, Md. Erfanul Hoque, Razvan G. Romanescu

Proceedings of the 49th IEEE Annual Computers, Software, and Applications Conference, 2025

Hybrid LSTM/GRU and Support Vector Regression Models for Stock Index Prediction.

Joy Dip Das, Ruppa K. Thulasiram, Sulalitha Bowala, Avanthi Saumyamala, Aerambamoorthy Thavaneswaran

Proceedings of the 49th IEEE Annual Computers, Software, and Applications Conference, 2025

Adapting Hybridization of Deep Learning Algorithms for High-Frequency Datasets.

Joy Dip Das, Avanthi Saumyamala, Sulalitha Bowala, Ruppa K. Thulasiram, Aerambamoorthy Thavaneswaran

Proceedings of the 49th IEEE Annual Computers, Software, and Applications Conference, 2025

On the Superiority of Data-Driven Combined Forecasts Based on Deep Learning Models.

Sulalitha Bowala, Md. Erfanul Hoque, Hina Shaheen, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Alex Paseka

Proceedings of the 49th IEEE Annual Computers, Software, and Applications Conference, 2025

Novel Financial Network Models Using Neuro Correlations and Applications.

Avanthi Saumyamala, Aerambamoorthy Thavaneswaran, Sulalitha Bowala, Joy Dip Das, Ruppa K. Thulasiram, Alex Paseka

Proceedings of the IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, 2025

Non-Linear Data Representation with Machine Learning for Dynamic Covariance Based Financial Portfolio Optimization.

Joy Dip Das, Avanthi M. Gedara, Sulalitha Bowala, Ruppa K. Thulasiram, Aerambamoorthy Thavaneswaran

Proceedings of the IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, 2025

The Superiority of Direct Neuro Volatility Forecasts Over GARCH and Machine Learning Forecasts for Financial Assets.

Sulalitha Bowala, Aerambamoorthy Thavaneswaran, Avanthi Saumyamala, Joy Dip Das, Ruppa K. Thulasiram, Alex Paseka

Proceedings of the IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, 2025

2024

Novel Non-linear Adaptive Fuzzy Adjacency Matrices for Financial Volatility Network Models.

Avanthi Saumyamala, Sulalitha Bowala, You Liang, Shanika Basnayake, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram

Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

Application of a Novel Fuzzy Pattern Mining Algorithm for Sequence Data.

Thimani Ranathungage, Sulalitha Bowala, Md. Erfanul Hoque, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram

Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

Novel Resilient Model Risk Forecasts Based on Neuro Volatility Models.

Md. Erfanul Hoque, Sulalitha Bowala, Avanthi Saumyamala, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram

Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

Neural Network Fuzzy Electricity Demand Forecasts Based on Fuzzy Inputs.

Sulalitha Bowala, Md. Erfanul Hoque, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Srimantoorao Semischetty Appadoo

Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

2023

Portfolio Diversification with Clustering Techniques.

Joy Dip Das, Sulalitha Bowala, Ruppa K. Thulasiram, Aerambamoorthy Thavaneswaran

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

High Frequency Data-Driven Dynamic Portfolio Optimization for Cryptocurrencies.

Sulalitha Bowala, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Thimani Ranathungage, Joy Dip Das

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Superiority of Neural Networks for Trading Volume Forecasts of Stocks and Cryptocurrencies.

Sulalitha Bowala, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Md. Erfanul Hoque, Alex Paseka

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

A Novel Fading-Memory Filter Multiple Trading Strategy with Data-Driven Innovation Volatility.

You Liang, Aerambamoorthy Thavaneswaran, Alex Paseka, Sulalitha Bowala, Juan Liyau

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

Fuzzy Option Pricing for Jump Diffusion Model using Neuro Volatility Models.

Md. Erfanul Hoque, Sulalitha Bowala, Alex Paseka, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

Resilient Portfolio Optimization using Traditional and Data-Driven Models for Cryptocurrencies and Stocks.

Joy Dip Das, Sulalitha Bowala, Ruppa K. Thulasiram, Aerambamoorthy Thavaneswaran

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

2022

Data-Driven and Neuro-Volatility Fuzzy Forecasts for Cryptocurrencies.

Japjeet Singh, Sulalitha Bowala, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Saumen Mandal

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

Deep Learning Predictions for Cryptocurrencies.

Aerambamoorthy Thavaneswaran, You Liang, Sulalitha Bowala, Alex Paseka, Melody Ghahramani

Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

A Novel Optimal Profit Resilient Filter Pairs Trading Strategy for Cryptocurrencies.

You Liang, Aerambamoorthy Thavaneswaran, Alex Paseka, Wei Qiao, Melody Ghahramani, Sulalitha Bowala

Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

Comparison of Fuzzy Risk Forecast Intervals for Cryptocurrencies.

Sulalitha Bowala, Japjeet Singh, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Saumen Mandal

Proceedings of the IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, 2022

Superiority of the Neural Network Dynamic Regression Models for Ontario Electricity Demand Forecasting.

Sulalitha Bowala, Mohammadreza Makhan, You Liang, Aerambamoorthy Thavaneswaran, Srimantoorao Semischetty Appadoo

Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2022