Anton Agafonov

Lihi Zelnik-Manor

CoRR, 2024

Ontology-Based Neuro-Symbolic AI: Effects on Prediction Quality and Explainability.

[BibT_eX]

[DOI]

Alexander V. Smirnov

IEEE Access, 2024

Studying Trustworthiness of Neural-Symbolic Models for Enterprise Model Classification via Post-Hoc Explanation.

[BibT_eX]

[DOI]

Alexander V. Smirnov

Nikolay Shilov

Proceedings of the 26th International Conference on Enterprise Information Systems, 2024

Ontology-Based Explanations of Neural Networks: A User Perspective.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in HCI, 2024

2023

Ontology-Based Post-Hoc Neural Network Explanations Via Simultaneous Concept Extraction.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Systems and Applications, 2023

RevelioNN: Retrospective Extraction of Visual and Logical Insights for Ontology-Based Interpretation of Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 34th Conference of Open Innovations Association, 2023

2022

An Experiment on Localization of Ontology Concepts in Deep Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 11th International Symposium on Information and Communication Technology, 2022

Ontology-Based Post-Hoc Explanations via Simultaneous Concept Extraction.

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Ontology Concept Extraction Algorithm for Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 32nd Conference of Open Innovations Association, 2022

2021

Traffic Signal Control: a Double Q-learning Approach.

[BibT_eX]

[DOI]

Proceedings of the 16th Conference on Computer Science and Intelligence Systems, 2021

2020

An Improved Map Matching Algorithm Based on Dynamic Programming Approach.

[BibT_eX]

[DOI]

Proceedings of the Information Technology for Management: Towards Business Excellence, 2020

Map Matching Algorithm Based on Dynamic Programming Approach.

[BibT_eX]

[DOI]

Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, 2020

2019

Bus Arrival Time Prediction with LSTM Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

Stochastic On-time Arrival Problem with Levy Stable Distributions.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Intelligent Transportation Engineering, 2019

2018

Spatial-Temporal K Nearest Neighbors Model on MapReduce for Traffic Flow Prediction.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Short-Term Traffic Flow Forecasting Using a Distributed Spatial-Temporal k Nearest Neighbors Model.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Computational Science and Engineering, 2018

2016

Reliable routing in stochastic time-dependent network with the use of actual and forecast information of the traffic flows.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

Structural Optimization of the Travel Time Prediction Model Based on Hierarchical Regression.

[BibT_eX]

[DOI]

Proceedings of the Supplementary Proceedings of the Fifth International Conference on Analysis of Images, 2016

2015

An Adaptive Algorithm for Public Transport Arrival Time Prediction Based on Hierarhical Regression.

[BibT_eX]

[DOI]

Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

Traffic Flow Forecasting Algorithm Based on Combination of Adaptive Elementary Predictors.

[BibT_eX]

[DOI]