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Md. Erfanul Hoque
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2020 – today
- 2024
- [c14]Md. Erfanul Hoque, Sulalitha Bowala, Avanthi Saumyamala, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram:
Novel Resilient Model Risk Forecasts Based on Neuro Volatility Models. COMPSAC 2024: 210-219 - [c13]Sulalitha Bowala, Md. Erfanul Hoque, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Srimantoorao Semischetty Appadoo:
Neural Network Fuzzy Electricity Demand Forecasts Based on Fuzzy Inputs. COMPSAC 2024: 1752-1757 - [c12]Thimani Ranathungage, Sulalitha Bowala, Md. Erfanul Hoque, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram:
Application of a Novel Fuzzy Pattern Mining Algorithm for Sequence Data. COMPSAC 2024: 1758-1763 - 2023
- [c11]Md. Erfanul Hoque, Sulalitha Bowala, Alex Paseka, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram:
Fuzzy Option Pricing for Jump Diffusion Model using Neuro Volatility Models. COMPSAC 2023: 1349-1354 - [c10]Sulalitha Bowala, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Md. Erfanul Hoque, Alex Paseka:
Superiority of Neural Networks for Trading Volume Forecasts of Stocks and Cryptocurrencies. SSCI 2023: 146-151 - 2021
- [c9]Md. Erfanul Hoque, Aerambamoorthy Thavaneswaran, Srimantoorao Semischetty Appadoo, Ruppa K. Thulasiram, Behrouz Banitalebi
:
A Novel Dynamic Demand Forecasting Model for Resilient Supply Chains using Machine Learning. COMPSAC 2021: 218-227 - [c8]Md. Erfanul Hoque, Aerambamoorthy Thavaneswaran, Alex Paseka, Ruppa K. Thulasiram:
An Algorithmic Multiple Trading Strategy Using Data-Driven Random Weights Innovation Volatility. COMPSAC 2021: 1760-1765 - [c7]Aerambamoorthy Thavaneswaran, You Liang, Alex Paseka, Md. Erfanul Hoque, Ruppa K. Thulasiram:
A Novel Data Driven Machine Learning Algorithm For Fuzzy Estimates of Optimal Portfolio Weights and Risk Tolerance Coefficient. FUZZ-IEEE 2021: 1-6 - [c6]Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Md. Erfanul Hoque, Srimantoorao Semischetty Appadoo:
Data-Driven Fuzzy Demand Forecasting Models for Resilient Supply Chains. SSCI 2021: 1-8 - 2020
- [c5]You Liang, Aerambamoorthy Thavaneswaran, Zimo Zhu, Ruppa K. Thulasiram, Md. Erfanul Hoque:
Data-Driven Adaptive Regularized Risk Forecasting. COMPSAC 2020: 1296-1301 - [c4]Behrouz Banitalebi
Modeling of Short-Term Electricity Demand and Comparison of Machine Learning Approaches for Load Forecasting. COMPSAC 2020: 1302-1307 - [c3]You Liang, Aerambamoorthy Thavaneswaran, Na Yu
Dynamic Data Science Applications in Optimal Profit Algorithmic Trading. COMPSAC 2020: 1314-1319 - [c2]Behrouz Banitalebi
Regularized Probabilistic Forecasting of Electricity Wholesale Price and Demand. SSCI 2020: 28-35 - [c1]You Liang, Aerambamoorthy Thavaneswaran, Md. Erfanul Hoque:
A Novel Algorithmic Trading Strategy Using Data-Driven Innovation Volatility. SSCI 2020: 1107-1114
Coauthor Index
aka: Aerambamoorthy Thavaneswaran
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