3 papers
stat.ML2026
Missing Data Imputation under Manifold Hypothesis
Zelong Bi, Amuchechukwu Ibenegbu, Sarat Moka
The manifold hypothesis posits that high-dimensional data are concentrated near a low-dimensional embedded manifold. Recent advances in mixture variational autoencoders (VAEs) prov…
stat.ML2026
tBayes-MICE: A Bayesian Approach to Multiple Imputation for Time Series Data
Amuche Ibenegbu, Pierre Lafaye de Micheaux, Rohitash Chandra
Time-series analysis is often affected by missing data, a common problem across several fields, including healthcare and environmental monitoring. Multiple Imputation by Chained Eq…
cs.LG2025
A Machine Learning Framework for Handling Unreliable Absence Label and Class Imbalance for Marine Stinger Beaching Prediction
Amuche Ibenegbu, Amandine Schaeffer, Pierre Lafaye de Micheaux +1
Bluebottles (\textit{Physalia} spp.) are marine stingers resembling jellyfish, whose presence on Australian beaches poses a significant public risk due to their venomous nature. Un…