Vadim Borisov

Orcid: 0000-0002-4889-9989

According to our database1, Vadim Borisov authored at least 22 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Deep Neural Networks and Tabular Data: A Survey.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

Open Artificial Knowledge.
CoRR, 2024

2023
DeepTLF: robust deep neural networks for heterogeneous tabular data.
Int. J. Data Sci. Anal., June, 2023

Deep Neural Networks and Tabular Data: Inference, Generation, and Explainability.
PhD thesis, 2023

Language Models are Realistic Tabular Data Generators.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Relational Local Explanations.
CoRR, 2022

Evaluating Feature Attribution: An Information-Theoretic Perspective.
CoRR, 2022

BoxShrink: From Bounding Boxes to Segmentation Masks.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022

A Consistent and Efficient Evaluation Strategy for Attribution Methods.
Proceedings of the International Conference on Machine Learning, 2022

2021
A Robust Unsupervised Ensemble of Feature-Based Explanations using Restricted Boltzmann Machines.
CoRR, 2021

2020
Neuro-Fuzzy Cognitive Temporal Models For Predicting Multidimensional Time Series With Fuzzy Trends.
Computación y Sistemas, 2020

Lessons Learned from the 1st ARIEL Machine Learning Challenge: Correcting Transiting Exoplanet Light Curves for Stellar Spots.
CoRR, 2020

Intelligent Information Search Method Based on a Compositional Ontological Approach.
Proceedings of the Artificial Intelligence - 18th Russian Conference, 2020

2019
Compositional fuzzy modeling of energy- and resource saving in socio-technical systems.
EAI Endorsed Trans. Energy Web, 2019

CancelOut: A Layer for Feature Selection in Deep Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

2018
Education Quality Evaluation of Electric Power Engineering specialties Students in Technical University of Russia with the Use of Internet Technologies.
EAI Endorsed Trans. Energy Web, 2018

Lithography Hotspots Detection Using Deep Learning.
Proceedings of the 15th International Conference on Synthesis, 2018

2017
A novel approach for automatic common-centroid pattern generation.
Proceedings of the 14th International Conference on Synthesis, 2017

"Compatible" Fuzzy Cognitive Maps for Direct and Inverse Inference.
Proceedings of the 18th International Conference on Computer Systems and Technologies, 2017

2015
Linguistic Analysis Based on Fuzzy Similarity Models.
Proceedings of the Sequences in Language and Text, 2015

2013
Development of parameterized cell using Cadence Virtuoso.
Proceedings of the East-West Design & Test Symposium, 2013

2004
Generalized Rule-Based Fuzzy Cognitive Maps: Structure and Dynamics Model.
Proceedings of the Neural Information Processing, 11th International Conference, 2004


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