3 papers
cs.LG2024
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…
cs.LG2024★ 1 cited
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…
cs.LG2023
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…