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Stanowisko:
Adiunkt naukowo-dydaktyczny
Zespoły badawcze:
Nowe systemy głębokiego uczenia i ich zastosowania
Prowadzone zajęcia:
Aplikacje klient - serwer lab
Aplikacje klient - serwer wyk
Nierelacyjne bazy danych i usługi integracyjne wyk
Aplikacje WWW lab
Programowanie obiektowe lab
dr inż.
Rafał Grycuk
Konsultacje: Czwartek: 10:00 - 14:00 | Thursday: 10:00 AM - 02:00 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 jest zatrudniony na stanowisku adiunkta w Katedrze Inteligentnych Systemów Informatycznych na Wydziale Inżynierii Mechanicznej i Informatyki Politechniki Częstochowskiej. Prywatnie pasjonat programowania webowego, astrofizyki, heliofizyki, sztucznej inteligencji oraz przetwarzania 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:
Publikacje (28)
2023 (3)
Najgebauer P., Scherer R., Grycuk R., Walczak J., Wojciechowski A., Lada-Tondyra E., Fast Visual Imperfection Detection when Real Negative Examples are Unavailable. (0)
Fast Visual Imperfection Detection when Real Negative Examples are Unavailable
, 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, Liczba cytowań: 0
Grycuk R., Najgebauer P., Scherer R., Edge Detection-Based Full-Disc Solar Image Hashing. (0)
Edge Detection-Based Full-Disc Solar Image Hashing
, 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, Liczba cytowań: 0
Grycuk R., Korytkowski M., Scherer R., Fuzzy-Based Solar Magnetogram Image Retrieval. (0)
Fuzzy-Based Solar Magnetogram Image Retrieval
, Fuzzy-Based Solar Magnetogram Image Retrieval, IEEE International Conference on Fuzzy Systems, 2023, Liczba cytowań: 02022 (3)
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. (1)
A Novel Method for Solar Image Retrieval Based on the Parzen Kernel Estimate of the Function Derivative and Convolutional Autoencoder
, 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, Liczba cytowań: 1
Grycuk R., Korytkowski M., Scherer R., Drozda P., Wei W., Kordos M., Fast Solar Image Retrieval and Classification by Fuzzy Rules. (0)
Fast Solar Image Retrieval and Classification by Fuzzy Rules
, Fast Solar Image Retrieval and Classification by Fuzzy Rules, IEEE International Conference on Fuzzy Systems, 2022-July, 2022-July, 2022, Liczba cytowań: 0
Grycuk R., Scherer R., Marchlewska A., Napoli C., Semantic Hashing for Fast Solar Magnetogram Retrieval. (4)
Semantic Hashing for Fast Solar Magnetogram Retrieval
, Semantic Hashing for Fast Solar Magnetogram Retrieval, Journal of Artificial Intelligence and Soft Computing Research, 12, 12, 299-306, 2022, Liczba cytowań: 42021 (2)
Grycuk R., Scherer R., Solar Image Hashing by Intermediate Descriptor and Autoencoder. (1)
Solar Image Hashing by Intermediate Descriptor and Autoencoder
, Solar Image Hashing by Intermediate Descriptor and Autoencoder, Proceedings of the International Joint Conference on Neural Networks, 2021-July, 2021-July, 2021, Liczba cytowań: 1
Grycuk R., Scherer R., Grid-Based Concise Hash for Solar Images. (2)
Grid-Based Concise Hash for Solar Images
, 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, Liczba cytowań: 22020 (4)
Grycuk R., Wojciechowski A., Wei W., Siwocha A., Detecting Visual Objects by Edge Crawling. (10)
Detecting Visual Objects by Edge Crawling
, Detecting Visual Objects by Edge Crawling, Journal of Artificial Intelligence and Soft Computing Research, 10, 10, 223-237, 2020, Liczba cytowań: 10
Grycuk R., Najgebauer P., Kordos M., Scherer M.M., Marchlewska A., Fast Image Index for Database Management Engines. (10)
Fast Image Index for Database Management Engines
, Fast Image Index for Database Management Engines, Journal of Artificial Intelligence and Soft Computing Research, 10, 10, 113-123, 2020, Liczba cytowań: 10
Grycuk R., Scherer R., Novel Fast Binary Hash for Content-based Solar Image Retrieval. (1)
Novel Fast Binary Hash for Content-based Solar Image Retrieval
, Novel Fast Binary Hash for Content-based Solar Image Retrieval, Proceedings of the International Joint Conference on Neural Networks, 2020, Liczba cytowań: 1
Grycuk R., Costa K., Scherer R., Active Region-Based Full-Disc Solar Image Hashing. (0)
Active Region-Based Full-Disc Solar Image Hashing
, 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, Liczba cytowań: 02019 (4)
Grycuk R., Najgebauer P., Nowicki R., Scherer R., Multilayer architecture for content-based image retrieval systems. (1)
Multilayer architecture for content-based image retrieval systems
, Multilayer architecture for content-based image retrieval systems, Proceedings - 2019 IEEE 12th Conference on Service-Oriented Computing and Applications, SOCA 2019, 119-126, 2019, Liczba cytowań: 1
Grycuk R., Scherer R., Software framework for fast image retrieval. (2)
Software framework for fast image retrieval
, Software framework for fast image retrieval, 2019 24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019, 588-593, 2019, Liczba cytowań: 2
Nowicki R.K., Starczewski J.T., Grycuk R., Extended possibilistic fuzzification for classification. (1)
Extended possibilistic fuzzification for classification
, Extended possibilistic fuzzification for classification, IJCCI 2019 - Proceedings of the 11th International Joint Conference on Computational Intelligence, 343-350, 2019, Liczba cytowań: 1
Najgebauer P., Grycuk R., Rutkowski L., Scherer R., Siwocha A., Microscopic Sample Segmentation by Fully Convolutional Network for Parasite Detection. (3)
Microscopic Sample Segmentation by Fully Convolutional Network for Parasite Detection
, 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, Liczba cytowań: 32018 (2)
Grycuk R., Najgebauer P., Scherer R., Siwocha A., Architecture of database index for content-based image retrieval systems. (1)
Architecture of database index for content-based image retrieval systems
, 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, Liczba cytowań: 1
Najgebauer P., Grycuk R., Scherer R., Fast Two-Level Image Indexing Based on Local Interest Points. (2)
Fast Two-Level Image Indexing Based on Local Interest Points
, 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, Liczba cytowań: 22017 (1)
Grycuk R., Scherer M., Voloshynovskiy S., Local keypoint-based image detector with object detection. (2)
Local keypoint-based image detector with object detection
, 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, Liczba cytowań: 22016 (3)
Grycuk R., Gabryel M., Nowicki R., Scherer R., Content-based image retrieval optimization by differential evolution. (17)
Content-based image retrieval optimization by differential evolution
, Content-based image retrieval optimization by differential evolution, 2016 IEEE Congress on Evolutionary Computation, CEC 2016, 86-93, 2016, Liczba cytowań: 17
Grycuk R., Knop M., Neural video compression based on surf scene change detection algorithm. (2)
Neural video compression based on surf scene change detection algorithm
, Neural video compression based on surf scene change detection algorithm, Advances in Intelligent Systems and Computing, 389, 389, 105-112, 2016, Liczba cytowań: 2
Grycuk R., Gabryel M., Scherer M., Voloshynovskiy S., Image descriptor based on edge detection and crawler algorithm. (9)
Image descriptor based on edge detection and crawler algorithm
, 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, Liczba cytowań: 92015 (3)
Grycuk R., Knop M., Mandal S., Video key frame detection based on SURF algorithm. (10)
Video key frame detection based on SURF algorithm
, 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, Liczba cytowań: 10
Gabryel M., Grycuk R., Korytkowski M., Holotyak T., Image indexing and retrieval using GSOM algorithm. (17)
Image indexing and retrieval using GSOM algorithm
, Image indexing and retrieval using GSOM algorithm, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9119, 9119, 706-714, 2015, Liczba cytowań: 17
Grycuk R., Gabryel M., Scherer R., Voloshynovskiy S., Multi-layer architecture for storing visual data based on WCF and microsoft SQL server database. (19)
Multi-layer architecture for storing visual data based on WCF and microsoft SQL server database
, 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, Liczba cytowań: 192014 (3)
Grycuk R., Gabryel M., Korytkowski M., Scherer R., Voloshynovskiy S., From single image to list of objects based on edge and blob detection. (32)
From single image to list of objects based on edge and blob detection
, 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, Liczba cytowań: 32
Grycuk R., Gabryel M., Korytkowski M., Scherer R., Content-Based Image Indexing by Data Clustering and Inverse Document Frequency. (26)
Content-Based Image Indexing by Data Clustering and Inverse Document Frequency
, Content-Based Image Indexing by Data Clustering and Inverse Document Frequency, Communications in Computer and Information Science, 424, 424, 374-383, 2014, Liczba cytowań: 26
Grycuk R., Gabryel M., Korytkowski M., Romanowski J., Scherer R., Improved digital image segmentation based on stereo vision and mean shift algorithm. (13)
