16 citations · 16 across the 2 of their papers we have counts for
3 papers
Decoupling Time and Space: A Temporally Conditioned Refinement for EEG Source Imaging
Marco Morik, Jesse Palarus, Carmen Vidaurre +2
Electroencephalography (EEG) offers millisecond temporal resolution, but inferring underlying neural sources is a severely ill-posed spatial inverse problem. While deep learning ha…
CA-TCN: A Causal-Anticausal Temporal Convolutional Network for Direct Auditory Attention Decoding
Iñigo García-Ugarte, Rubén Eguinoa, Ricardo San Martín +2
A promising approach for steering auditory attention in complex listening environments relies on Auditory Attention Decoding (AAD), which aim to identify the attended speech stream…
A Generalization of the Sugeno integral to aggregate Interval-valued data: an application to Brain Computer Interface and Social Network Analysis
Javier Fumanal-Idocin, Zdenko Takac, Lubomira Horanska +5
Intervals are a popular way to represent the uncertainty related to data, in which we express the vagueness of each observation as the width of the interval. However, when using in…