Roman Ilin

Orcid: 0000-0003-4922-2598

According to our database1, Roman Ilin authored at least 41 papers between 2005 and 2024.

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Bibliography

2024
Design Choices for Enhancing Noisy Student Self-Training.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Enhancing Self-Training Methods.
CoRR, 2023

2021
Detection of rare events with uncertain outcomes.
Int. J. Approx. Reason., 2021

Bottom-up Hierarchical Classification Using Confusion-based Logit Compression.
CoRR, 2021

A Framework for Semi-automatic Collection of Temporal Satellite Imagery for Analysis of Dynamic Regions.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
Deep Learning Based Domain Adaptation with Data Fusion for Aerial Image Data Analysis.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Hierarchical Classification with Confidence using Generalized Logits.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Decision Making with "Gray Swan" events.
Proceedings of the IEEE Conference on Cognitive and Computational Aspects of Situation Management, 2020

2019
A Framework for Collecting and Classifying Objects in Satellite Imagery.
Proceedings of the Advances in Visual Computing, 2019

Hierarchical Semantic Labeling with Adaptive Confidence.
Proceedings of the Advances in Visual Computing, 2019

Multi-Agent System for Threat Assessment and Action Selection under Uncertainty and Ambiguity.
Proceedings of the 22th International Conference on Information Fusion, 2019

Reasoning and Decision Making under Uncertainty and Risk for Situation Management.
Proceedings of the IEEE Conference on Cognitive and Computational Aspects of Situation Management, 2019

2018
A Classification Refinement Strategy for Semantic Segmentation.
CoRR, 2018

Evolution of Abstraction Across Layers in Deep Learning Neural Networks.
Proceedings of the INNS Conference on Big Data and Deep Learning 2018, 2018

Multi-Model Threat Assessment Involving Low Probability High Consequence Events.
Proceedings of the 21st International Conference on Information Fusion, 2018

Action Selection Under Uncertainty and Risk Involving High Consequence Rare Events.
Proceedings of the IEEE Conference on Cognitive and Computational Aspects of Situation Management, 2018

2017
Abstraction hierarchy in deep learning neural networks.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Decision-making involving low probability high consequence events under risk and uncertainty.
Proceedings of the IEEE Conference on Cognitive and Computational Aspects of Situation Management, 2017

2016
Fusion of privileged features for efficient classifier training.
Proceedings of the 19th International Conference on Information Fusion, 2016

Classification with Concept Lattice and Choquet integral.
Proceedings of the 19th International Conference on Information Fusion, 2016

2015
Information fusion with topological event spaces.
Proceedings of the 18th International Conference on Information Fusion, 2015

Information fusion with belief functions: A comparison of proportional conflict redistribution PCR5 and PCR6 rules for networked sensors.
Proceedings of the 18th International Conference on Information Fusion, 2015

2014
Learning with Privileged Information for Improved Target Classification.
Int. J. Monit. Surveillance Technol. Res., 2014

Phase cone detection optimization in EEG data.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Information fusion with uncertainty modeled on topological event spaces.
Proceedings of the 2014 IEEE Symposium on Foundations of Computational Intelligence, 2014

Abnormal event detection in EEG imaging - Comparing predictive and model-based approaches.
Proceedings of the IEEE Symposium on Computational Intelligence in Brain Computer Interfaces, 2014

2013
Detection of spatiotemporal phase patterns in ECoG using adaptive mixture models.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
Unsupervised Learning of Categorical Data With Competing Models.
IEEE Trans. Neural Networks Learn. Syst., 2012

Cognitively motivated learning of categorical data with Modeling Fields Theory.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011
Dynamic Logic learning in cognitive-based situation models.
Proceedings of the IEEE International Inter-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, 2011

Neurally and Mathematically Motivated Architecture for Language and Cognition.
Proceedings of the Biologically Inspired Cognitive Architectures 2011, 2011

2010
Cognitively Inspired Neural Network for Recognition of Situations.
Int. J. Nat. Comput. Res., 2010

The knowledge instinct of autonomous adaptation.
Proceedings of the International Joint Conference on Neural Networks, 2010

Grounded symbols in the brain.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
Cross-situational learning of object-word mapping using Neural Modeling Fields.
Neural Networks, 2009

Sensor integration in KIV brain model for decision making.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
Beyond Feedforward Models Trained by Backpropagation: A Practical Training Tool for a More Efficient Universal Approximator.
IEEE Trans. Neural Networks, 2008

Intentional Control for Planetary Rover SRR.
Adv. Robotics, 2008

2007
Control of multi-stable chaotic neural networks using input constraints.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
Cellular SRN Trained by Extended Kalman Filter Shows Promise for ADP.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
Nonlinear Neurodynamics Tool for System Analysis and Application for Time Series Prediction.
Proceedings of the IEEE International Conference on Systems, 2005


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