Superiority of the Neural Network Dynamic Regression Models for Ontario Electricity Demand Forecasting. - Sulalitha Bowala; Mohammadreza Makhan; You Liang; Aerambamoorthy Thavaneswaran; Srimantoorao Semischetty Appadoo (CCECE, 2022)

Comparison of Fuzzy Risk Forecast Intervals for Cryptocurrencies. - Sulalitha Bowala; Japjeet Singh; Aerambamoorthy Thavaneswaran; Ruppa K. Thulasiram; Saumen Mandal (CIFEr, 2022)

A Novel Optimal Profit Resilient Filter Pairs Trading Strategy for Cryptocurrencies. - You Liang; Aerambamoorthy Thavaneswaran; Alex Paseka; Wei Qiao; Melody Ghahramani; Sulalitha Bowala (COMPSAC, 2022)

Deep Learning Predictions for Cryptocurrencies. - Aerambamoorthy Thavaneswaran; You Liang; Sulalitha Bowala; Alex Paseka; Melody Ghahramani (COMPSAC, 2022)

Data-Driven and Neuro-Volatility Fuzzy Forecasts for Cryptocurrencies. - Japjeet Singh; Sulalitha Bowala; Aerambamoorthy Thavaneswaran; Ruppa K. Thulasiram; Saumen Mandal (FUZZ-IEEE, 2022)

Resilient Portfolio Optimization using Traditional and Data-Driven Models for Cryptocurrencies and Stocks. - Joy Dip Das; Sulalitha Bowala; Ruppa K. Thulasiram; Aerambamoorthy Thavaneswaran (COMPSAC, 2023)

Fuzzy Option Pricing for Jump Diffusion Model using Neuro Volatility Models. - Md. Erfanul Hoque; Sulalitha Bowala; Alex Paseka; Aerambamoorthy Thavaneswaran; Ruppa K. Thulasiram (COMPSAC, 2023)

A Novel Fading-Memory Filter Multiple Trading Strategy with Data-Driven Innovation Volatility. - You Liang; Aerambamoorthy Thavaneswaran; Alex Paseka; Sulalitha Bowala; Juan Liyau (COMPSAC, 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 (SSCI, 2023)

High Frequency Data-Driven Dynamic Portfolio Optimization for Cryptocurrencies. - Sulalitha Bowala; Aerambamoorthy Thavaneswaran; Ruppa K. Thulasiram; Thimani Ranathungage; Joy Dip Das (SSCI, 2023)

Portfolio Diversification with Clustering Techniques. - Joy Dip Das; Sulalitha Bowala; Ruppa K. Thulasiram; Aerambamoorthy Thavaneswaran (SSCI, 2023)

Neural Network Fuzzy Electricity Demand Forecasts Based on Fuzzy Inputs. - Sulalitha Bowala; Md. Erfanul Hoque; Aerambamoorthy Thavaneswaran; Ruppa K. Thulasiram; Srimantoorao Semischetty Appadoo (COMPSAC, 2024)

Novel Resilient Model Risk Forecasts Based on Neuro Volatility Models. - Md. Erfanul Hoque; Sulalitha Bowala; Avanthi Saumyamala; Aerambamoorthy Thavaneswaran; Ruppa K. Thulasiram (COMPSAC, 2024)

Application of a Novel Fuzzy Pattern Mining Algorithm for Sequence Data. - Thimani Ranathungage; Sulalitha Bowala; Md. Erfanul Hoque; Aerambamoorthy Thavaneswaran; Ruppa K. Thulasiram (COMPSAC, 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 (COMPSAC, 2024)

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 (CiFer Companion, 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 (CIFEr, 2025)

Novel Financial Network Models Using Neuro Correlations and Applications. - Avanthi Saumyamala; Aerambamoorthy Thavaneswaran; Sulalitha Bowala; Joy Dip Das; Ruppa K. Thulasiram; Alex Paseka (CiFer Companion, 2025)