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Contact:
Room: 513

Position:
Assistant Professor

Research teams:
Nowe systemy głębokiego uczenia i ich zastosowania

Classes:
Zaawansowane programowanie internetowe lab
Podstawy sieci komputerowych lab
PhD Eng Rafał Grycuk
Office hours: Wtorek: 14:00 - 16:00 | Tuesday: 2:00 PM - 04:00 PM

Urodził się w Słubicach (obecnie woj. lubuskie). Od 1994 roku mieszka w okolicach Częstochowy. W latach 2007-2012 studiował na Wydziale Inżynierii Mechanicznej i Informatyki Politechniki Częstochowskiej na kierunku Informatyka uzyskując odpowiednio tytuły zawodowe: inżyniera w 2011 roku i magistra inżyniera w 2012 roku. W październiku 2012 roku rozpoczął studia doktoranckie w dyscyplinie informatyka, natomiast w grudniu 2017 roku uzyskał stopień naukowy doktora nauk technicznych w dyscyplinie informatyka, nadany przez Radę Wydziału Inżynierii Mechanicznej i Informatyki Politechniki Częstochowskiej. Od 1 marca 2018 do 31 sierpnia 2024 zatrudniony na stanowisku adiunkta w Katedrze Inteligentnych Systemów Informatycznych na Wydziale Inżynierii Mechanicznej i Informatyki Politechniki Częstochowskiej. W związku ze zmianami strukturalnymi oraz powstaniem nowego Wydziału od dnia 1 września 2024 pracuje w Katedrze Sztucznej Inteligencji na Wydziale Informatyki i Sztucznej Inteligencji. Prywatnie pasjonat programowania webowego, astrofizyki, heliofizyki, sztucznej inteligencji oraz przetwarzania i wyszukiwania obrazów. 

Zainteresowania naukowe:

  • wyszukiwanie obrazów w dużych bazach danych,
  • analiza obrazów słonecznych,
  • budowa deskryptorów obrazów słonecznych,
  • sztuczne sieci neuronowe, w szczególności autoenkodery.

 

Materiały do pracy dyplomowej:

Papers (31)

2024 (1)

Toward Real-Time Solar Content-Based Image Retrieval
Grycuk R., De Magistris G., Napoli C., Scherer R., Toward Real-Time Solar Content-Based Image Retrieval, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14832 LNCS, 14832 LNCS, 107-120, 2024, Cites: 0

2023 (4)

Sun Magnetograms Retrieval from Vast Collections Through Small Hash Codes
Grycuk R., Scherer R., Sun Magnetograms Retrieval from Vast Collections Through Small Hash Codes, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14076 LNCS, 14076 LNCS, 259-273, 2023, Cites: 0
Edge Detection-Based Full-Disc Solar Image Hashing
Grycuk R., Najgebauer P., Scherer R., Edge Detection-Based Full-Disc Solar Image Hashing, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13589 LNAI, 13589 LNAI, 243-251, 2023, Cites: 0
Fast Visual Imperfection Detection when Real Negative Examples are Unavailable
Najgebauer P., Scherer R., Grycuk R., Walczak J., Wojciechowski A., Lada-Tondyra E., Fast Visual Imperfection Detection when Real Negative Examples are Unavailable, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14126 LNAI, 14126 LNAI, 58-68, 2023, Cites: 0
Fuzzy-Based Solar Magnetogram Image Retrieval
Grycuk R., Korytkowski M., Scherer R., Fuzzy-Based Solar Magnetogram Image Retrieval, IEEE International Conference on Fuzzy Systems, 2023, Cites: 0

2022 (3)

Fast Solar Image Retrieval and Classification by Fuzzy Rules
Grycuk R., Korytkowski M., Scherer R., Drozda P., Wei W., Kordos M., Fast Solar Image Retrieval and Classification by Fuzzy Rules, IEEE International Conference on Fuzzy Systems, 2022-July, 2022-July, 2022, Cites: 1
A Novel Method for Solar Image Retrieval Based on the Parzen Kernel Estimate of the Function Derivative and Convolutional Autoencoder
Grycuk R., Galkowski T., Scherer R., Rutkowski L., A Novel Method for Solar Image Retrieval Based on the Parzen Kernel Estimate of the Function Derivative and Convolutional Autoencoder, Proceedings of the International Joint Conference on Neural Networks, 2022-July, 2022-July, 2022, Cites: 6
Semantic Hashing for Fast Solar Magnetogram Retrieval
Grycuk R., Scherer R., Marchlewska A., Napoli C., Semantic Hashing for Fast Solar Magnetogram Retrieval, Journal of Artificial Intelligence and Soft Computing Research, 12, 12, 299-306, 2022, Cites: 5

2021 (2)

Grid-Based Concise Hash for Solar Images
Grycuk R., Scherer R., Grid-Based Concise Hash for Solar Images, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12744 LNCS, 12744 LNCS, 242-254, 2021, Cites: 3
Solar Image Hashing by Intermediate Descriptor and Autoencoder
Grycuk R., Scherer R., Solar Image Hashing by Intermediate Descriptor and Autoencoder, Proceedings of the International Joint Conference on Neural Networks, 2021-July, 2021-July, 2021, Cites: 1

2020 (4)

Active Region-Based Full-Disc Solar Image Hashing
Grycuk R., Costa K., Scherer R., Active Region-Based Full-Disc Solar Image Hashing, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12416 LNAI, 12416 LNAI, 19-30, 2020, Cites: 0
Novel Fast Binary Hash for Content-based Solar Image Retrieval
Grycuk R., Scherer R., Novel Fast Binary Hash for Content-based Solar Image Retrieval, Proceedings of the International Joint Conference on Neural Networks, 2020, Cites: 1
Fast Image Index for Database Management Engines
Grycuk R., Najgebauer P., Kordos M., Scherer M.M., Marchlewska A., Fast Image Index for Database Management Engines, Journal of Artificial Intelligence and Soft Computing Research, 10, 10, 113-123, 2020, Cites: 10
Detecting Visual Objects by Edge Crawling
Grycuk R., Wojciechowski A., Wei W., Siwocha A., Detecting Visual Objects by Edge Crawling, Journal of Artificial Intelligence and Soft Computing Research, 10, 10, 223-237, 2020, Cites: 10

2019 (5)

Software framework for fast image retrieval
Grycuk R., Scherer R., Software framework for fast image retrieval, 2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019, 588-593, 2019, Cites: 3
Extended possibilistic fuzzification for classification
Nowicki R.K., Starczewski J.T., Grycuk R., Extended possibilistic fuzzification for classification, IJCCI 2019 - Proceedings of the 11th International Joint Conference on Computational Intelligence, 343-350, 2019, Cites: 1
Extended Possibilistic Fuzzification for Classification
Nowicki R.K., Starczewski J.T., Grycuk R., Extended Possibilistic Fuzzification for Classification, International Joint Conference on Computational Intelligence, 1, 1, 343-350, 2019, Cites: 0
Microscopic Sample Segmentation by Fully Convolutional Network for Parasite Detection
Najgebauer P., Grycuk R., Rutkowski L., Scherer R., Siwocha A., Microscopic Sample Segmentation by Fully Convolutional Network for Parasite Detection, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11508 LNAI, 11508 LNAI, 164-171, 2019, Cites: 6
Multilayer architecture for content-based image retrieval systems
Grycuk R., Najgebauer P., Nowicki R., Scherer R., Multilayer architecture for content-based image retrieval systems, Proceedings - 2019 IEEE 12th Conference on Service-Oriented Computing and Applications, SOCA 2019, 119-126, 2019, Cites: 1

2018 (2)

Architecture of database index for content-based image retrieval systems
Grycuk R., Najgebauer P., Scherer R., Siwocha A., Architecture of database index for content-based image retrieval systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10842 LNAI, 10842 LNAI, 36-47, 2018, Cites: 1
Fast Two-Level Image Indexing Based on Local Interest Points
Najgebauer P., Grycuk R., Scherer R., Fast Two-Level Image Indexing Based on Local Interest Points, 2018 23rd International Conference on Methods and Models in Automation and Robotics, MMAR 2018, 613-617, 2018, Cites: 2

2017 (1)

Local keypoint-based image detector with object detection
Grycuk R., Scherer M., Voloshynovskiy S., Local keypoint-based image detector with object detection, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10245 LNAI, 10245 LNAI, 507-517, 2017, Cites: 2

2016 (3)

Neural video compression based on surf scene change detection algorithm
Grycuk R., Knop M., Neural video compression based on surf scene change detection algorithm, Advances in Intelligent Systems and Computing, 389, 389, 105-112, 2016, Cites: 2
Content-based image retrieval optimization by differential evolution
Grycuk R., Gabryel M., Nowicki R., Scherer R., Content-based image retrieval optimization by differential evolution, 2016 IEEE Congress on Evolutionary Computation, CEC 2016, 86-93, 2016, Cites: 17
Image descriptor based on edge detection and crawler algorithm
Grycuk R., Gabryel M., Scherer M., Voloshynovskiy S., Image descriptor based on edge detection and crawler algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 647-659, 2016, Cites: 9

2015 (3)

Video key frame detection based on SURF algorithm
Grycuk R., Knop M., Mandal S., Video key frame detection based on SURF algorithm, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9119, 9119, 566-576, 2015, Cites: 10
Image indexing and retrieval using GSOM algorithm
Gabryel M., Grycuk R., Korytkowski M., Holotyak T., Image indexing and retrieval using GSOM algorithm, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9119, 9119, 706-714, 2015, Cites: 17
Multi-layer architecture for storing visual data based on WCF and microsoft SQL server database
Grycuk R., Gabryel M., Scherer R., Voloshynovskiy S., Multi-layer architecture for storing visual data based on WCF and microsoft SQL server database, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9119, 9119, 715-726, 2015, Cites: 19

2014 (3)

From single image to list of objects based on edge and blob detection
Grycuk R., Gabryel M., Korytkowski M., Scherer R., Voloshynovskiy S., From single image to list of objects based on edge and blob detection, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8468 LNAI, 8468 LNAI, 605-615, 2014, Cites: 32
Improved digital image segmentation based on stereo vision and mean shift algorithm
Grycuk R., Gabryel M., Korytkowski M., Romanowski J., Scherer R., Improved digital image segmentation based on stereo vision and mean shift algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8384 LNCS, 8384 LNCS, 433-443, 2014, Cites: 13
Content-Based Image Indexing by Data Clustering and Inverse Document Frequency
Grycuk R., Gabryel M., Korytkowski M., Scherer R., Content-Based Image Indexing by Data Clustering and Inverse Document Frequency, Communications in Computer and Information Science, 424, 424, 374-383, 2014, Cites: 26

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