Studies on the conditions of limit cycle oscillations in the K2 models of neural populations. - Roman Ilin; Robert Kozma 001; Walter J. Freeman (IJCNN, 2004)

Stability conditions of the full KII model of excitatory and inhibitory neural populations. - Roman Ilin; Robert Kozma 001 (IJCNN, 2005)

Nonlinear Neurodynamics Tool for System Analysis and Application for Time Series Prediction. - Igor Beliaev; Roman Ilin; Robert Kozma 001 (SMC, 2005)

Cellular SRN Trained by Extended Kalman Filter Shows Promise for ADP. - Roman Ilin; Robert Kozma 001; Paul J. Werbos (IJCNN, 2006)

Control of multi-stable chaotic neural networks using input constraints. - Roman Ilin; Robert Kozma 001 (IJCNN, 2007)

Intentional Control for Planetary Rover SRR. - Robert Kozma 001; Terry Huntsberger; Hrand Aghazarian; Edward W. Tunstel; Roman Ilin; Walter J. Freeman (Adv. Robotics, 2008)

Beyond Feedforward Models Trained by Backpropagation: A Practical Training Tool for a More Efficient Universal Approximator. - Roman Ilin; Robert Kozma 001; Paul J. Werbos (IEEE Trans. Neural Networks, 2008)

Sensor integration in KIV brain model for decision making. - Roman Ilin; Robert Kozma 001 (IJCNN, 2009)

Cross-situational learning of object-word mapping using Neural Modeling Fields. - José Fernando Fontanari; Vadim Tikhanoff; Angelo Cangelosi; Roman Ilin; Leonid I. Perlovsky (Neural Networks, 2009)

Grounded symbols in the brain. - Leonid I. Perlovsky; Roman Ilin (IJCNN, 2010)

The knowledge instinct of autonomous adaptation. - Leonid I. Perlovsky; Roman Ilin (IJCNN, 2010)

Cognitively Inspired Neural Network for Recognition of Situations. - Roman Ilin; Leonid I. Perlovsky (Int. J. Nat. Comput. Res., 2010)

Neurally and Mathematically Motivated Architecture for Language and Cognition. - Leonid I. Perlovsky; Roman Ilin (BICA, 2011)

Dynamic Logic learning in cognitive-based situation models. - Roman Ilin; Leonid I. Perlovsky (CogSIMA, 2011)

Cognitively motivated learning of categorical data with Modeling Fields Theory. - Roman Ilin; Robert Kozma 001 (IJCNN, 2012)

Unsupervised Learning of Categorical Data With Competing Models. - Roman Ilin (IEEE Trans. Neural Networks Learn. Syst., 2012)

Detection of spatiotemporal phase patterns in ECoG using adaptive mixture models. - Roman Ilin; Robert Kozma 001 (IJCNN, 2013)

Abnormal event detection in EEG imaging - Comparing predictive and model-based approaches. - Jayanta K. Dutta; Bonny Banerjee; Roman Ilin; Robert Kozma 001 (CIBCI, 2014)

Information fusion with uncertainty modeled on topological event spaces. - Roman Ilin; Jun Zhang (FOCI, 2014)

Phase cone detection optimization in EEG data. - Mark H. Myers; Robert Kozma 001; Jeffery Jonathan Davis; Roman Ilin (IJCNN, 2014)

Learning with Privileged Information for Improved Target Classification. - Roman Ilin; Simon Streltsov; Rauf Izmailov (Int. J. Monit. Surveillance Technol. Res., 2014)

Information fusion with belief functions: A comparison of proportional conflict redistribution PCR5 and PCR6 rules for networked sensors. - Roman Ilin; Erik Blasch (FUSION, 2015)

Information fusion with topological event spaces. - Roman Ilin; Jun Zhang (FUSION, 2015)

Classification with Concept Lattice and Choquet integral. - Roman Ilin (FUSION, 2016)

Fusion of privileged features for efficient classifier training. - Roman Ilin; Rauf Izmailov; Yuri Goncharov; Simon Streltsov (FUSION, 2016)

Decision-making involving low probability high consequence events under risk and uncertainty. - Roman Ilin; Galina L. Rogova (CogSIMA, 2017)

Abstraction hierarchy in deep learning neural networks. - Roman Ilin; Thomas Watson 004; Robert Kozma 001 (IJCNN, 2017)

Action Selection Under Uncertainty and Risk Involving High Consequence Rare Events. - Galina L. Rogova; Roman Ilin (CogSIMA, 2018)

Multi-Model Threat Assessment Involving Low Probability High Consequence Events. - Roman Ilin; Galina L. Rogova (FUSION, 2018)

Evolution of Abstraction Across Layers in Deep Learning Neural Networks. - Robert Kozma 001; Roman Ilin; Hava T. Siegelmann (INNS Conference on Big Data, 2018)

A Classification Refinement Strategy for Semantic Segmentation. - James W. Davis; Christopher Menart; Muhammad Akbar; Roman Ilin (CoRR, 2018)

Reasoning and Decision Making under Uncertainty and Risk for Situation Management. - Galina L. Rogova; Roman Ilin (CogSIMA, 2019)

Multi-Agent System for Threat Assessment and Action Selection under Uncertainty and Ambiguity. - Galina L. Rogova; Roman Ilin (FUSION, 2019)

Hierarchical Semantic Labeling with Adaptive Confidence. - Jim Davis; Tong Liang; James Enouen; Roman Ilin (ISVC (2), 2019)

A Framework for Collecting and Classifying Objects in Satellite Imagery. - Aswathnarayan Radhakrishnan; James Cunningham; Jim Davis; Roman Ilin (ISVC (2), 2019)

Decision Making with "Gray Swan" events. - Galina L. Rogova; Roman Ilin (CogSIMA, 2020)

Hierarchical Classification with Confidence using Generalized Logits. - Jim Davis; Tong Liang; James Enouen; Roman Ilin (ICPR, 2020)

Deep Learning Based Domain Adaptation with Data Fusion for Aerial Image Data Analysis. - Jingyang Lu; Chenggang Yu; Erik Blasch; Roman Ilin; Hua-mei Chen; Dan Shen 004; Nichole Sullivan; Genshe Chen; Robert Kozma 001 (ICPR Workshops (8), 2020)

A Framework for Semi-automatic Collection of Temporal Satellite Imagery for Analysis of Dynamic Regions. - Nicholas Kashani Motlagh; Aswathnarayan Radhakrishnan; Jim Davis; Roman Ilin (ICCVW, 2021)

Bottom-up Hierarchical Classification Using Confusion-based Logit Compression. - Tong Liang; Jim Davis; Roman Ilin (CoRR, 2021)

Detection of rare events with uncertain outcomes. - Roman Ilin (Int. J. Approx. Reason., 2021)

Enhancing Self-Training Methods. - Aswathnarayan Radhakrishnan; Jim Davis; Zachary Rabin; Benjamin Lewis; Matthew Scherreik; Roman Ilin (CoRR, 2023)

Design Choices for Enhancing Noisy Student Self-Training. - Aswathnarayan Radhakrishnan; Jim Davis; Zachary Rabin; Benjamin Lewis; Matthew Scherreik; Roman Ilin (WACV, 2024)