| 2024 | WACV | Design Choices for Enhancing Noisy Student Self-Training. | Aswathnarayan Radhakrishnan, Jim Davis, Zachary Rabin, Benjamin Lewis, Matthew Scherreik, Roman Ilin |
| 2020 | CogSIMA | Decision Making with "Gray Swan" events. | Galina L. Rogova, Roman Ilin |
| 2020 | ICPR | Hierarchical Classification with Confidence using Generalized Logits. | Jim Davis, Tong Liang, James Enouen, Roman Ilin |
| 2020 | ICPR | 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, Nichole Sullivan, Genshe Chen, Robert Kozma |
| 2019 | CogSIMA | Reasoning and Decision Making under Uncertainty and Risk for Situation Management. | Galina L. Rogova, Roman Ilin |
| 2019 | FUSION | Multi-Agent System for Threat Assessment and Action Selection under Uncertainty and Ambiguity. | Galina L. Rogova, Roman Ilin |
| 2019 | ISVC | Hierarchical Semantic Labeling with Adaptive Confidence. | Jim Davis, Tong Liang, James Enouen, Roman Ilin |
| 2019 | ISVC | A Framework for Collecting and Classifying Objects in Satellite Imagery. | Aswathnarayan Radhakrishnan, James Cunningham, Jim Davis, Roman Ilin |
| 2018 | CogSIMA | Action Selection Under Uncertainty and Risk Involving High Consequence Rare Events. | Galina L. Rogova, Roman Ilin |
| 2018 | FUSION | Multi-Model Threat Assessment Involving Low Probability High Consequence Events. | Roman Ilin, Galina L. Rogova |
| 2017 | CogSIMA | Decision-making involving low probability high consequence events under risk and uncertainty. | Roman Ilin, Galina L. Rogova |
| 2017 | IJCNN | Abstraction hierarchy in deep learning neural networks. | Roman Ilin, Thomas Watson, Robert Kozma |
| 2016 | FUSION | Classification with Concept Lattice and Choquet integral. | Roman Ilin |
| 2016 | FUSION | Fusion of privileged features for efficient classifier training. | Roman Ilin, Rauf Izmailov, Yuri Goncharov, Simon Streltsov |
| 2015 | FUSION | Information fusion with belief functions: A comparison of proportional conflict redistribution PCR5 and PCR6 rules for networked sensors. | Roman Ilin, Erik Blasch |
| 2015 | FUSION | Information fusion with topological event spaces. | Roman Ilin, Jun Zhang |
| 2014 | IJCNN | Phase cone detection optimization in EEG data. | Mark H. Myers, Robert Kozma, Jeffery Jonathan Davis, Roman Ilin |
| 2013 | IJCNN | Detection of spatiotemporal phase patterns in ECoG using adaptive mixture models. | Roman Ilin, Robert Kozma |
| 2012 | IJCNN | Cognitively motivated learning of categorical data with Modeling Fields Theory. | Roman Ilin, Robert Kozma |
| 2011 | CogSIMA | Dynamic Logic learning in cognitive-based situation models. | Roman Ilin, Leonid I. Perlovsky |
| 2010 | IJCNN | Grounded symbols in the brain. | Leonid I. Perlovsky, Roman Ilin |
| 2010 | IJCNN | The knowledge instinct of autonomous adaptation. | Leonid I. Perlovsky, Roman Ilin |
| 2009 | IJCNN | Sensor integration in KIV brain model for decision making. | Roman Ilin, Robert Kozma |
| 2007 | IJCNN | Control of multi-stable chaotic neural networks using input constraints. | Roman Ilin, Robert Kozma |
| 2006 | IJCNN | Cellular SRN Trained by Extended Kalman Filter Shows Promise for ADP. | Roman Ilin, Robert Kozma, Paul J. Werbos |
| 2005 | IJCNN | Stability conditions of the full KII model of excitatory and inhibitory neural populations. | Roman Ilin, Robert Kozma |
| 2005 | SMC | Nonlinear Neurodynamics Tool for System Analysis and Application for Time Series Prediction. | Igor Beliaev, Roman Ilin, Robert Kozma |
| 2004 | IJCNN | Studies on the conditions of limit cycle oscillations in the K2 models of neural populations. | Roman Ilin, Robert Kozma, Walter J. Freeman |