Illya BakurovPast member

DISCo (Department of Informatics, Systems and Communication)
University of Milan-Bicocca
Viale Sarca 336, Building U14

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Biography

Illya Bakurov obtained the BSc in Information Management and the MSc degree in Data Science and Advanced Analytics from the NOVA University of Lisbon, Portugal, respectively in 2015 and 2018. In 2015 he did an internship at QMetrics. He is currently a PhD student from NOVA University of Lisbon. The main topics of his current research concern Machine Learning and Evolutionary Computation. Recently he started to work in the field of Image Processing and Computer Vision at IVL.

Publications

Journal Articles

4.

Full-Reference Image Quality Expression via Genetic Programming
(Illya Bakurov, Marco Buzzelli, Raimondo Schettini, Mauro Castelli, Leonardo Vanneschi) In IEEE Transactions on Image Processing, volume 32, pp. 1459-1473, 2023.

Download BibTex Doi 

@article{bakurov2023full,
 author = {Bakurov, Illya and Buzzelli, Marco and Schettini, Raimondo and Castelli, Mauro and Vanneschi, Leonardo},
 year = {2023},
 pages = {1459-1473},
 title = {Full-Reference Image Quality Expression via Genetic Programming},
 volume = {32},
 journal = {IEEE Transactions on Image Processing},
 url = {https://ieeexplore.ieee.org/document/10048682},
 pdf = {/download/Full-Reference_Image_Quality_Expression_via_Genetic_Programming.pdf},
 doi = {10.1109/TIP.2023.3244662}}
3.

Semantic segmentation network stacking with genetic programming
(Illya Bakurov, Marco Buzzelli, Raimondo Schettini, Mauro Castelli, Leonardo Vanneschi) In Genetic Programming and Evolvable Machines, volume 24, number 2, pp. 15, Springer, 2023.

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@article{bakurov2023semantic,
 author = {Bakurov, Illya and Buzzelli, Marco and Schettini, Raimondo and Castelli, Mauro and Vanneschi, Leonardo},
 year = {2023},
 pages = {15},
 title = {Semantic segmentation network stacking with genetic programming},
 volume = {24},
 number = {2},
 publisher = {Springer},
 journal = {Genetic Programming and Evolvable Machines},
 url = {https://link.springer.com/article/10.1007/s10710-023-09464-0},
 pdf = {/download/bakurov2023semantic.pdf},
 doi = {10.1007/s10710-023-09464-0}}
2.

General Purpose Optimization Library (GPOL): A Flexible and Efficient Multi-Purpose Optimization Library in Python
(Illya Bakurov, Marco Buzzelli, Mauro Castelli, Leonardo Vanneschi, Raimondo Schettini) In Applied Sciences, volume 11, number 11, 2021.

Download BibTex Doi Project Page 

@article{bakurov2021general,
 author = {Bakurov, Illya and Buzzelli, Marco and Castelli, Mauro and Vanneschi, Leonardo and Schettini, Raimondo},
 year = {2021},
 title = {General Purpose Optimization Library (GPOL): A Flexible and Efficient Multi-Purpose Optimization Library in Python},
 volume = {11},
 number = {11},
 journal = {Applied Sciences},
 url = {https://www.mdpi.com/2076-3417/11/11/4774},
 pdf = {/download/2021c_General_Purpose_Optimization_Library_GPOL_A_Flexible_and_Efficient_Multi-Purpose_Optimization_Library_in_Python.pdf},
 doi = {10.3390/app11114774},
 issn = {2076-3417},
 projectref = {https://gitlab.com/ibakurov/general-purpose-optimization-library}}
1.

Structural similarity index (SSIM) revisited: A data-driven approach
(Illya Bakurov, Marco Buzzelli, Raimondo Schettini, Mauro Castelli, Leonardo Vanneschi) In Expert Systems with Applications, pp. 116087, 2021.

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@article{bakurov2021structural,
 author = {Bakurov, Illya and Buzzelli, Marco and Schettini, Raimondo and Castelli, Mauro and Vanneschi, Leonardo},
 year = {2021},
 pages = {116087},
 title = {Structural similarity index (SSIM) revisited: A data-driven approach},
 journal = {Expert Systems with Applications},
 keywords = {Image, quality, assessment, measures, Structural, similarity, Evolutionary, computation, Scale, selection, Image, processing},
 url = {https://www.sciencedirect.com/science/article/pii/S0957417421014238},
 pdf = {/download/bakurov2021structural.pdf},
 doi = {10.1016/j.eswa.2021.116087},
 issn = {0957-4174}}

Conference Papers

2.

Genetic programming for structural similarity design at multiple spatial scales
(Illya Bakurov, Marco Buzzelli, Mauro Castelli, Raimondo Schettini, Leonardo Vanneschi) In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '22), pp. 911-919, 2022.

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@inproceedings{bakurov2022genetic,
 author = {Bakurov, Illya and Buzzelli, Marco and Castelli, Mauro and Schettini, Raimondo and Vanneschi, Leonardo},
 year = {2022},
 pages = {911-919},
 title = {Genetic programming for structural similarity design at multiple spatial scales},
 booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference (GECCO \'22)},
 pdf = {/download/gecco_ssim.pdf},
 doi = {10.1145/3512290.3528783}}
1.

Parameters optimization of the Structural Similarity Index
(Illya Bakurov, Marco Buzzelli, Mauro Castelli, Raimondo Schettini, Leonardo Vanneschi) In London Imaging Meeting, volume 2020, number 1, pp. 19-23, 2020.

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@inproceedings{bakurov2020parameters,
 author = {Bakurov, Illya and Buzzelli, Marco and Castelli, Mauro and Schettini, Raimondo and Vanneschi, Leonardo},
 year = {2020},
 pages = {19-23},
 title = {Parameters optimization of the Structural Similarity Index},
 volume = {2020},
 number = {1},
 organization = {Society for Imaging Science and Technology},
 booktitle = {London Imaging Meeting},
 pdf = {/download/2020a_Parameters_optimization_of_the_Structural_Similarity_Index.pdf},
 doi = {10.2352/issn.2694-118X.2020.LIM-13}}