Adaptive classification using incremental learning for seismic-volcanic signals with concept drift
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Volcanology and Geothermal Research"
DOI: 10.1016/j.jvolgeores.2021.107211
Abstract: Abstract The accurate labeling of the volcanic earthquake signals is a crucial task in order to estimate the increase in volcanic activity (among other parameters), which contributes to determine a state of volcanic unrest (as… read more here.
Keywords: classification using; order; strategy; adaptive classification ... See more keywords
Adaptive Classification Fountain Codes for Reentry Communication
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2915926
Abstract: Radio blackout due to a plasma sheath during reentry has attracted much attention over several decades. However, radio blackout has long puzzled the aerospace industry and has not yet been completely resolved. A communication method… read more here.
Keywords: communication; method; adaptive classification; classification fountain ... See more keywords
Adaptive Classification Using Incremental Linearized Kernel Embedding
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2022.3162407
Abstract: This paper considers the problem of adaptive classification for performing pattern discrimination in varying conditions when new data arrives. A new efficient method is presented to incrementally update features in a Nyström-approximated linearized kernel embedding… read more here.
Keywords: incremental linearized; classification; adaptive classification; linearized kernel ... See more keywords
Combining robust level extraction and unsupervised adaptive classification for high-accuracy fNIRS-BCI: An evidence on single-trial differentiation between mentally arithmetic- and singing-tasks
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2022.938518
Abstract: Functional near-infrared spectroscopy (fNIRS) is a safe and non-invasive optical imaging technique that is being increasingly used in brain-computer interfaces (BCIs) to recognize mental tasks. Unlike electroencephalography (EEG) which directly measures neural activation, fNIRS signals… read more here.
Keywords: classification; adaptive classification; robust level; fnirs bci ... See more keywords