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Junya Furuki
- ESANN 2025 - Sleep Staging with Gradient Boosting and DWT-PSD Features from EEG/EOG Signals [Details]
- ESANN 1997 - Independence is far from normal [Details]
- ESANN 1998 - Canonical correlation analysis using artificial neural networks [Details]
- ESANN 1998 - Invariant feature maps for analysis of orientations in image data [Details]
- ESANN 1999 - Comparison of Kohonen, scale-invariant and GTM self-organising maps for interpretation of spectral data [Details]
- ESANN 1999 - Neural networks which identify composite factors [Details]
- ESANN 1999 - Noise to extract independent causes [Details]
- ESANN 1999 - Trends in Unsupervised Learning [Details]
- ESANN 2001 - Rectified Gaussian distributions and the formation of local filters from video data [Details]
- ESANN 2001 - Sparse Kernel Canonical Correlation Analysis [Details]
- ESANN 2001 - Unsupervised models for processing visual data [Details]
- ESANN 2002 - Clustering in data space and feature space [Details]
- ESANN 2002 - Exploratory Correlation Analysis [Details]
- ESANN 2002 - Forecasting using twinned principal curves [Details]
- ESANN 2002 - Maximum likelihood Hebbian rules [Details]
- ESANN 2004 - Using Andrews Curves for Clustering and Sub-clustering Self-Organizing Maps [Details]
- ESANN 2005 - Phase transition in sparse associative neural networks [Details]
- ESANN 2006 - A Gaussian process latent variable model formulation of canonical correlation analysis [Details]
- ESANN 2006 - Immune Network based Ensembles [Details]
- ESANN 2006 - Outlier identification with the Harmonic Topographic Mapping [Details]
- ESANN 2006 - Stochastic Processes for Canonical Correlation Analysis [Details]
- ESANN 2007 - Immediate Reward Reinforcement Learning for Projective Kernel Methods [Details]
- ESANN 2010 - Curvilinear component analysis and Bregman divergences [Details]