Learning by Integrating Information Within and Across Fixations. - Predrag Neskovic; Liang Wu 010; Leon N. Cooper (ICANN (2), 2006)

Biologically Inspired Bayes Learning and Its Dependence on the Distribution of the Receptive Fields. - Liang Wu 010; Predrag Neskovic; Leon N. Cooper (ICNC (1), 2006)

Biologically Inspired Hierarchical Model for Feature Extraction and Localization. - Liang Wu 010; Predrag Neskovic; Leon N. Cooper (ICPR (1), 2006)

Feature extraction for EEG classification: representing electrode outputs as a Markov stochastic process. - Liang Wu 010; Predrag Neskovic (ESANN, 2007)

Classifying n-back EEG data using entropy and mutual information features. - Liang Wu 010; Predrag Neskovic; Etienne Reyes; Elena Festa; Heindel William (ESANN, 2007)

Classifying EEG Data into Different Memory Loads Across Subjects. - Liang Wu 010; Predrag Neskovic (ICANN (2), 2007)

How Important are the Sizes and Locations of Fixation Regions for the BIAS Model? - Predrag Neskovic; Ian Sherman; Liang Wu 010; Leon N. Cooper (ICNC (2), 2007)

Approximating a non-homogeneous HMM with Dynamic Spatial Dirichlet Process. - Haijun Ren; Liang Wu 010; Predrag Neskovic; Leon N. Cooper (ICPR, 2008)

A probabilistic model for classifying segmented images. - Liang Wu 010; Predrag Neskovic; Leon N. Cooper (ICPR, 2008)

Learning faces with the BIAS model: On the importance of the sizes and locations of fixation regions. - Predrag Neskovic; Ian Sherman; Liang Wu 010; Leon N. Cooper (Neurocomputing, 2009)