Icasso: software for investigating the reliability of ICA estimates by clustering and visualization
By Johan Himberg, Aapo Hyvärinen. 2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718), 2003
315 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Electrochemistry, Signal Processing
View Paper: https://www.semanticscholar.org/paper/9bade27b0525cd105172498413c38d9a349f4bd7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Johan Himberg
- Fabrizio Esposito
- Aapo Hyvärinen
- Bernhard Schölkopf
- Kun Zhang
- Yoshua Bengio
- Dominik Janzing
- Jan Peters
In Signal Processing
- Fabrizio Esposito
- Johan Himberg
- Aapo Hyvärinen
- Bernhard Schölkopf
- Kun Zhang
- Dominik Janzing
- Andrew Y. Ng
- Adam Coates
Citations in the corpus
- Validating the independent components of neuroimaging time series via clustering and visualization (2004, result): “Preliminary results were reported in (Himberg and Hyvärinen, 2003).”
- Multi-subject Independent Component Analysis of fMRI: A Decade of Intrinsic Networks, Default Mode, and Neurodiagnostic Discovery (2012, unknown): “ICASSO runs the ICA algorithm several times and produces different estimated components for each run and then collects the components by clustering them based on the absolute value of the correlation between squared source estimates [76].”