Roman Ilin

Roman Ilin: Unsupervised Learning of Categorical Data With Competing Models. IEEE Trans. Neural Netw. Learning Syst. 23(11): 1726-1737 (2012)

Roman Ilin, Robert Kozma: Cognitively motivated learning of categorical data with Modeling Fields Theory. IJCNN 2012: 1-8

Leonid I. Perlovsky, Roman Ilin: Neurally and Mathematically Motivated Architecture for Language and Cognition. BICA 2011: 288

Roman Ilin, Leonid I. Perlovsky: Cognitively Inspired Neural Network for Recognition of Situations. IJNCR 1(1): 36-55 (2010)

Leonid I. Perlovsky, Roman Ilin: Grounded symbols in the brain. IJCNN 2010: 1-10

Leonid I. Perlovsky, Roman Ilin: The knowledge instinct of autonomous adaptation. IJCNN 2010: 1-8

José F. Fontanari, Vadim Tikhanoff, Angelo Cangelosi, Roman Ilin, Leonid I. Perlovsky: Cross-situational learning of object-word mapping using Neural Modeling Fields. Neural Networks 22(5-6): 579-585 (2009)

Roman Ilin, Robert Kozma: Sensor integration in KIV brain model for decision making. IJCNN 2009: 1328-1334

Robert Kozma, Terry Huntsberger, Hrand Aghazarian, Edward Tunstel, Roman Ilin, Walter J. Freeman: Intentional Control for Planetary Rover SRR. Advanced Robotics 22(12): 1309-1327 (2008)

Roman Ilin, Robert Kozma, Paul J. Werbos: Beyond Feedforward Models Trained by Backpropagation: A Practical Training Tool for a More Efficient Universal Approximator. IEEE Transactions on Neural Networks 19(6): 929-937 (2008)

Roman Ilin, Robert Kozma: Control of multi-stable chaotic neural networks using input constraints. IJCNN 2007: 2194-2199

Roman Ilin, Robert Kozma, Paul J. Werbos: Beyond Feedforward Models Trained by Backpropagation: a Practical Training Tool for a More Efficient Universal Approximator. CoRR abs/0710.4182 (2007)

Roman Ilin, Robert Kozma, Paul J. Werbos: Cellular SRN Trained by Extended Kalman Filter Shows Promise for ADP. IJCNN 2006: 506-510

Igor Beliaev, Roman Ilin, Robert Kozma: Nonlinear Neurodynamics Tool for System Analysis and Application for Time Series Prediction. SMC 2005: 1011-1016