5 citations · 6 across the 4 of their papers we have counts for
4 papers
Multi-Label Transfer Learning in Non-Stationary Data Streams
Honghui Du, Leandro Minku, Aonghus Lawlor +1
Label concepts in multi-label data streams often experience drift in non-stationary environments, either independently or in relation to other labels. Transferring knowledge betwee…
MARLINE: Multi-Source Mapping Transfer Learning for Non-Stationary Environments
Honghui Du, Leandro Minku, Huiyu Zhou
Concept drift is a major problem in online learning due to its impact on the predictive performance of data stream mining systems. Recent studies have started exploring data stream…
Deep Learning Approaches for Medical Imaging Under Varying Degrees of Label Availability: A Comprehensive Survey
Siteng Ma, Honghui Du, Yu An +5
Deep learning has achieved significant breakthroughs in medical imaging, but these advancements are often dependent on large, well-annotated datasets. However, obtaining such datas…
Can We Transfer Noise Patterns? A Multi-environment Spectrum Analysis Model Using Generated Cases
Haiwen Du, Zheng Ju, Yu An +5
Spectrum analysis systems in online water quality testing are designed to detect types and concentrations of pollutants and enable regulatory agencies to respond promptly to pollut…