Sulalitha Bowala

25 papers B 17Unranked 8
YearRankTypeTitle / Venue / Authors
2025 B conf
Adapting Hybridization of Deep Learning Algorithms for High-Frequency Datasets.
COMPSAC
Joy Dip Das, Avanthi Saumyamala, Sulalitha Bowala, Ruppa K. Thulasiram, Aerambamoorthy Thavaneswaran
2025 B conf
Hybrid LSTM/GRU and Support Vector Regression Models for Stock Index Prediction.
COMPSAC
Joy Dip Das, Ruppa K. Thulasiram, Sulalitha Bowala, Avanthi Saumyamala, Aerambamoorthy Thavaneswaran
2025 — conf
Non-Linear Data Representation with Machine Learning for Dynamic Covariance Based Financial Portfolio Optimization.
CIFEr
Joy Dip Das, Avanthi M. Gedara, Sulalitha Bowala, Ruppa K. Thulasiram, Aerambamoorthy Thavaneswaran
2025 B conf
Novel Data Driven High Dimensional Volatility Networks and Dynamic Price Networks.
COMPSAC
Avanthi Saumyamala, Sulalitha Bowala, Md. Erfanul Hoque, Aerambamoorthy Thavaneswaran, Alex Paseka, Ruppa K. Thulasiram
2025 — conf
Novel Financial Network Models Using Neuro Correlations and Applications.
CiFer Companion
Avanthi Saumyamala, Aerambamoorthy Thavaneswaran, Sulalitha Bowala, Joy Dip Das, Ruppa K. Thulasiram, Alex Paseka
2025 B conf
On the Superiority of Data-Driven Combined Forecasts Based on Deep Learning Models.
COMPSAC
Sulalitha Bowala, Md. Erfanul Hoque, Hina Shaheen, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Alex Paseka
2025 B conf
Statistical and Deep Learning Approaches for Risk Assessment and Volatility Forecasting in Renewable Energy Investments.
COMPSAC
Shalini Jayanetti, Sulalitha Bowala, Sumeet Kalia, Aerambamoorthy Thavaneswaran, Md. Erfanul Hoque, Razvan G. Romanescu
2025 B conf
Superiority of RMT Filtered Data-Driven Covariance Matrix for Portfolio Optimization and Resilient Networks.
COMPSAC
Avanthi Saumyamala, Sulalitha Bowala, Aerambamoorthy Thavaneswaran, You Liang, Alex Paseka, Ruppa K. Thulasiram
2025 B conf
Superiority of the Neural Network Models for Multivariate Price and Volatility Forecasting.
COMPSAC
Avanthi Saumyamala, You Liang, Aerambamoorthy Thavaneswaran, Alex Paseka, Sulalitha Bowala, Ruppa K. Thulasiram
2025 — conf
The Superiority of Direct Neuro Volatility Forecasts Over GARCH and Machine Learning Forecasts for Financial Assets.
CiFer Companion
Sulalitha Bowala, Aerambamoorthy Thavaneswaran, Avanthi Saumyamala, Joy Dip Das, Ruppa K. Thulasiram, Alex Paseka
2024 B conf
Application of a Novel Fuzzy Pattern Mining Algorithm for Sequence Data.
COMPSAC
Thimani Ranathungage, Sulalitha Bowala, Md. Erfanul Hoque, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram
2024 B conf
Neural Network Fuzzy Electricity Demand Forecasts Based on Fuzzy Inputs.
COMPSAC
Sulalitha Bowala, Md. Erfanul Hoque, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Srimantoorao Semischetty Appadoo
2024 B conf
Novel Non-linear Adaptive Fuzzy Adjacency Matrices for Financial Volatility Network Models.
COMPSAC
Avanthi Saumyamala, Sulalitha Bowala, You Liang, Shanika Basnayake, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram
2024 B conf
Novel Resilient Model Risk Forecasts Based on Neuro Volatility Models.
COMPSAC
Md. Erfanul Hoque, Sulalitha Bowala, Avanthi Saumyamala, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram
2023 B conf
A Novel Fading-Memory Filter Multiple Trading Strategy with Data-Driven Innovation Volatility.
COMPSAC
You Liang, Aerambamoorthy Thavaneswaran, Alex Paseka, Sulalitha Bowala, Juan Liyau
2023 B conf
Fuzzy Option Pricing for Jump Diffusion Model using Neuro Volatility Models.
COMPSAC
Md. Erfanul Hoque, Sulalitha Bowala, Alex Paseka, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram
2023 — conf
High Frequency Data-Driven Dynamic Portfolio Optimization for Cryptocurrencies.
SSCI
Sulalitha Bowala, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Thimani Ranathungage, Joy Dip Das
2023 — conf
Portfolio Diversification with Clustering Techniques.
SSCI
Joy Dip Das, Sulalitha Bowala, Ruppa K. Thulasiram, Aerambamoorthy Thavaneswaran
2023 B conf
Resilient Portfolio Optimization using Traditional and Data-Driven Models for Cryptocurrencies and Stocks.
COMPSAC
Joy Dip Das, Sulalitha Bowala, Ruppa K. Thulasiram, Aerambamoorthy Thavaneswaran
2023 — conf
Superiority of Neural Networks for Trading Volume Forecasts of Stocks and Cryptocurrencies.
SSCI
Sulalitha Bowala, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Md. Erfanul Hoque, Alex Paseka
2022 B conf
A Novel Optimal Profit Resilient Filter Pairs Trading Strategy for Cryptocurrencies.
COMPSAC
You Liang, Aerambamoorthy Thavaneswaran, Alex Paseka, Wei Qiao, Melody Ghahramani, Sulalitha Bowala
2022 — conf
Comparison of Fuzzy Risk Forecast Intervals for Cryptocurrencies.
CIFEr
Sulalitha Bowala, Japjeet Singh, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Saumen Mandal
2022 B conf
Data-Driven and Neuro-Volatility Fuzzy Forecasts for Cryptocurrencies.
FUZZ-IEEE
Japjeet Singh, Sulalitha Bowala, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Saumen Mandal
2022 B conf
Deep Learning Predictions for Cryptocurrencies.
COMPSAC
Aerambamoorthy Thavaneswaran, You Liang, Sulalitha Bowala, Alex Paseka, Melody Ghahramani
2022 — conf
Superiority of the Neural Network Dynamic Regression Models for Ontario Electricity Demand Forecasting.
CCECE
Sulalitha Bowala, Mohammadreza Makhan, You Liang, Aerambamoorthy Thavaneswaran, Srimantoorao Semischetty Appadoo