Sulalitha Bowala
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
1
Active years
2022–2025
Best venue rank
B
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | COMPSAC | 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 |
| 2025 | COMPSAC | Adapting Hybridization of Deep Learning Algorithms for High-Frequency Datasets. | Joy Dip Das, Avanthi Saumyamala, Sulalitha Bowala, Ruppa K. Thulasiram, Aerambamoorthy Thavaneswaran |
| 2025 | COMPSAC | Hybrid LSTM/GRU and Support Vector Regression Models for Stock Index Prediction. | Joy Dip Das, Ruppa K. Thulasiram, Sulalitha Bowala, Avanthi Saumyamala, Aerambamoorthy Thavaneswaran |
| 2025 | COMPSAC | 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 |
| 2025 | COMPSAC | 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 |
| 2025 | COMPSAC | 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 |
| 2025 | COMPSAC | 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 |
| 2024 | COMPSAC | Neural Network Fuzzy Electricity Demand Forecasts Based on Fuzzy Inputs. | Sulalitha Bowala, Md. Erfanul Hoque, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Srimantoorao Semischetty Appadoo |
| 2024 | COMPSAC | Novel Resilient Model Risk Forecasts Based on Neuro Volatility Models. | Md. Erfanul Hoque, Sulalitha Bowala, Avanthi Saumyamala, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram |
| 2024 | COMPSAC | Application of a Novel Fuzzy Pattern Mining Algorithm for Sequence Data. | Thimani Ranathungage, Sulalitha Bowala, Md. Erfanul Hoque, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram |
| 2024 | COMPSAC | 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 |
| 2023 | COMPSAC | Resilient Portfolio Optimization using Traditional and Data-Driven Models for Cryptocurrencies and Stocks. | Joy Dip Das, Sulalitha Bowala, Ruppa K. Thulasiram, Aerambamoorthy Thavaneswaran |
| 2023 | COMPSAC | Fuzzy Option Pricing for Jump Diffusion Model using Neuro Volatility Models. | Md. Erfanul Hoque, Sulalitha Bowala, Alex Paseka, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram |
| 2023 | COMPSAC | A Novel Fading-Memory Filter Multiple Trading Strategy with Data-Driven Innovation Volatility. | You Liang, Aerambamoorthy Thavaneswaran, Alex Paseka, Sulalitha Bowala, Juan Liyau |
| 2022 | COMPSAC | A Novel Optimal Profit Resilient Filter Pairs Trading Strategy for Cryptocurrencies. | You Liang, Aerambamoorthy Thavaneswaran, Alex Paseka, Wei Qiao, Melody Ghahramani, Sulalitha Bowala |
| 2022 | COMPSAC | Deep Learning Predictions for Cryptocurrencies. | Aerambamoorthy Thavaneswaran, You Liang, Sulalitha Bowala, Alex Paseka, Melody Ghahramani |