Cross target attributes and sample types quantitative analysis modeling of near-infrared spectroscopy based on instance transfer learning
Sign Up to like & getrecommendations! Published in 2021 at "Measurement"
DOI: 10.1016/j.measurement.2021.109340
Abstract: Abstract During the near‐infrared (NIR) spectroscopy analysis process, most existing methods can carry out calibration transfer only between the same samples. In the machine learning area, transfer learning has the potential to achieve calibration transfer… read more here.
Keywords: spectroscopy; transfer learning; transfer; instance transfer ... See more keywords
Not‐so‐supervised: A survey of semi‐supervised, multi‐instance, and transfer learning in medical image analysis
Sign Up to like & getrecommendations! Published in 2019 at "Medical Image Analysis"
DOI: 10.1016/j.media.2019.03.009
Abstract: &NA; Machine learning (ML) algorithms have made a tremendous impact in the field of medical imaging. While medical imaging datasets have been growing in size, a challenge for supervised ML algorithms that is frequently mentioned… read more here.
Keywords: transfer learning; instance transfer; semi supervised; image analysis ... See more keywords
Multiclass Informative Instance Transfer Learning Framework for Motor Imagery-Based Brain-Computer Interface
Sign Up to like & getrecommendations! Published in 2018 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2018/6323414
Abstract: A widely discussed paradigm for brain-computer interface (BCI) is the motor imagery task using noninvasive electroencephalography (EEG) modality. It often requires long training session for collecting a large amount of EEG data which makes user… read more here.
Keywords: multiclass; motor imagery; transfer; instance transfer ... See more keywords
Motor imagery electroencephalogram classification algorithm based on joint features in the spatial and frequency domains and instance transfer
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Human Neuroscience"
DOI: 10.3389/fnhum.2023.1175399
Abstract: Introduction Motor imagery electroencephalography (MI-EEG) has significant application value in the field of rehabilitation, and is a research hotspot in the brain-computer interface (BCI) field. Due to the small training sample size of MI-EEG of… read more here.
Keywords: algorithm based; classification; classification algorithm; instance transfer ... See more keywords