1 citations · 3 across the 10 of their papers we have counts for
5 papers · 1 filter
Directly Learning Stock Trading Strategies Through Profit Guided Loss Functions
Devroop Kar, Zimeng Lyu, Sheeraja Rajakrishnan +4
Stock trading has always been a challenging task due to the highly volatile nature of the stock market. Making sound trading decisions to generate profit is particularly difficult…
Minimally Supervised Topological Projections of Self-Organizing Maps for Phase of Flight Identification
Zimeng Lyu, Pujan Thapa, Travis Desell
Identifying phases of flight is important in the field of general aviation, as knowing which phase of flight data is collected from aircraft flight data recorders can aid in the mo…
Minimally Supervised Learning using Topological Projections in Self-Organizing Maps
Zimeng Lyu, Alexander Ororbia, Rui Li +1
Parameter prediction is essential for many applications, facilitating insightful interpretation and decision-making. However, in many real life domains, such as power systems, medi…
Online Evolutionary Neural Architecture Search for Multivariate Non-Stationary Time Series Forecasting
Zimeng Lyu, Alexander Ororbia, Travis Desell
Time series forecasting (TSF) is one of the most important tasks in data science given the fact that accurate time series (TS) predictive models play a major role across a wide var…
ONE-NAS: An Online NeuroEvolution based Neural Architecture Search for Time Series Forecasting
Zimeng Lyu, Travis Desell
Time series forecasting (TSF) is one of the most important tasks in data science, as accurate time series (TS) predictions can drive and advance a wide variety of domains including…