Roman Ilin

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 22

Top Topics

Hierarchical Classification

Decision Making Under Uncertainty

Information Fusion

Top Venues

Publications

Aswathnarayan Radhakrishnan, Jim Davis, Zachary Rabin, Benjamin Lewis, Matthew Scherreik, Roman Ilin
Design Choices for Enhancing Noisy Student Self-Training. WACV (2024)
Aswathnarayan Radhakrishnan, Jim Davis, Zachary Rabin, Benjamin Lewis, Matthew Scherreik, Roman Ilin
Enhancing Self-Training Methods. CoRR (2023)
Roman Ilin
Detection of rare events with uncertain outcomes. Int. J. Approx. Reason. 131 (2021)
Nicholas Kashani Motlagh, Aswathnarayan Radhakrishnan, Jim Davis, Roman Ilin
A Framework for Semi-automatic Collection of Temporal Satellite Imagery for Analysis of Dynamic Regions. ICCVW (2021)
Tong Liang, Jim Davis, Roman Ilin
Bottom-up Hierarchical Classification Using Confusion-based Logit Compression. CoRR (2021)
Galina L. Rogova, Roman Ilin
Decision Making with "Gray Swan" events. CogSIMA (2020)
Jingyang Lu, Chenggang Yu, Erik Blasch, Roman Ilin, Hua-mei Chen, Dan Shen, Nichole Sullivan, Genshe Chen, Robert Kozma
Deep Learning Based Domain Adaptation with Data Fusion for Aerial Image Data Analysis. ICPR Workshops (8) (2020)
Jim Davis, Tong Liang, James Enouen, Roman Ilin
Hierarchical Classification with Confidence using Generalized Logits. ICPR (2020)
Jim Davis, Tong Liang, James Enouen, Roman Ilin
Hierarchical Semantic Labeling with Adaptive Confidence. ISVC (2) (2019)
Galina L. Rogova, Roman Ilin
Multi-Agent System for Threat Assessment and Action Selection under Uncertainty and Ambiguity. FUSION (2019)
Galina L. Rogova, Roman Ilin
Reasoning and Decision Making under Uncertainty and Risk for Situation Management. CogSIMA (2019)
Aswathnarayan Radhakrishnan, Jamie Cunningham, Jim Davis, Roman Ilin
A Framework for Collecting and Classifying Objects in Satellite Imagery. ISVC (2) (2019)
Galina L. Rogova, Roman Ilin
Action Selection Under Uncertainty and Risk Involving High Consequence Rare Events. CogSIMA (2018)
James W. Davis, Christopher Menart, Muhammad Akbar, Roman Ilin
A Classification Refinement Strategy for Semantic Segmentation. CoRR (2018)
Roman Ilin, Galina L. Rogova
Multi-Model Threat Assessment Involving Low Probability High Consequence Events. FUSION (2018)
Robert Kozma, Roman Ilin, Hava T. Siegelmann
Evolution of Abstraction Across Layers in Deep Learning Neural Networks. INNS Conference on Big Data (2018)
Roman Ilin, Thomas Watson, Robert Kozma
Abstraction hierarchy in deep learning neural networks. IJCNN (2017)
Roman Ilin, Galina L. Rogova
Decision-making involving low probability high consequence events under risk and uncertainty. CogSIMA (2017)
Roman Ilin, Rauf Izmailov, Yuri Goncharov, Simon Streltsov
Fusion of privileged features for efficient classifier training. FUSION (2016)
Roman Ilin
Classification with Concept Lattice and Choquet integral. FUSION (2016)
Roman Ilin, Jun Zhang
Information fusion with topological event spaces. FUSION (2015)
Roman Ilin, Erik Blasch
Information fusion with belief functions: A comparison of proportional conflict redistribution PCR5 and PCR6 rules for networked sensors. FUSION (2015)
Roman Ilin, Jun Zhang
Information fusion with uncertainty modeled on topological event spaces. FOCI (2014)
Roman Ilin, Simon Streltsov, Rauf Izmailov
Learning with Privileged Information for Improved Target Classification. Int. J. Monit. Surveillance Technol. Res. 2 (3) (2014)
Jayanta K. Dutta, Bonny Banerjee, Roman Ilin, Robert Kozma
Abnormal event detection in EEG imaging - Comparing predictive and model-based approaches. CIBCI (2014)
Mark H. Myers, Robert Kozma, Jeffery Jonathan Davis, Roman Ilin
Phase cone detection optimization in EEG data. IJCNN (2014)
Roman Ilin, Robert Kozma
Detection of spatiotemporal phase patterns in ECoG using adaptive mixture models. IJCNN (2013)
Roman Ilin, Robert Kozma
Cognitively motivated learning of categorical data with Modeling Fields Theory. IJCNN (2012)
Roman Ilin
Unsupervised Learning of Categorical Data With Competing Models. IEEE Trans. Neural Networks Learn. Syst. 23 (11) (2012)
Leonid I. Perlovsky, Roman Ilin
Neurally and Mathematically Motivated Architecture for Language and Cognition. BICA (2011)
Roman Ilin, Leonid I. Perlovsky
Dynamic Logic learning in cognitive-based situation models. CogSIMA (2011)
Leonid I. Perlovsky, Roman Ilin
The knowledge instinct of autonomous adaptation. IJCNN (2010)
Leonid I. Perlovsky, Roman Ilin
Grounded symbols in the brain. IJCNN (2010)
Roman Ilin, Leonid I. Perlovsky
Cognitively Inspired Neural Network for Recognition of Situations. Int. J. Nat. Comput. Res. 1 (1) (2010)
Roman Ilin, Robert Kozma
Sensor integration in KIV brain model for decision making. IJCNN (2009)
José Fernando 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) (2009)
Roman Ilin, Robert Kozma, Paul J. Werbos
Beyond Feedforward Models Trained by Backpropagation: A Practical Training Tool for a More Efficient Universal Approximator. IEEE Trans. Neural Networks 19 (6) (2008)
Robert Kozma, Terry Huntsberger, Hrand Aghazarian, Edward W. Tunstel, Roman Ilin, Walter J. Freeman
Intentional Control for Planetary Rover SRR. Adv. Robotics 22 (12) (2008)
Roman Ilin, Robert Kozma, Paul J. Werbos
Beyond Feedforward Models Trained by Backpropagation: a Practical Training Tool for a More Efficient Universal Approximator CoRR (2007)
Roman Ilin, Robert Kozma
Control of multi-stable chaotic neural networks using input constraints. IJCNN (2007)
Roman Ilin, Robert Kozma, Paul J. Werbos
Cellular SRN Trained by Extended Kalman Filter Shows Promise for ADP. IJCNN (2006)
Igor Beliaev, Roman Ilin, Robert Kozma
Nonlinear Neurodynamics Tool for System Analysis and Application for Time Series Prediction. SMC (2005)