Contact:
Position:
Assistant Professor
Research teams:
Struktury i metody uczenia sieci neuronowych
Nowe systemy głębokiego uczenia i ich zastosowania
Classes:
Interaktywna grafika i prezentacja danych lab
Programowanie obiektowe lab
Programowanie obiektowe wyk
Sztuczna inteligencja lab
Sztuczna inteligencja wyk
PhD Eng
Marcin Gabryel
Papers (52)
2023 (1)
Gabryel M., Lada D., Kocic M., Autoencoder Neural Network for Detecting Non-human Web Traffic. (0)
Autoencoder Neural Network for Detecting Non-human Web Traffic
, Autoencoder Neural Network for Detecting Non-human Web Traffic, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13589 LNAI, 13589 LNAI, 232-242, 2023, Cites: 02022 (1)
Gabryel M., Lada D., Filutowicz Z., Patora-Wysocka Z., Kisiel-Dorohinicki M., Chen G.Y., Detecting Anomalies in Advertising Web Traffic with the Use of the Variational Autoencoder. (2)
Detecting Anomalies in Advertising Web Traffic with the Use of the Variational Autoencoder
, Detecting Anomalies in Advertising Web Traffic with the Use of the Variational Autoencoder, Journal of Artificial Intelligence and Soft Computing Research, 12, 12, 255-256, 2022, Cites: 22021 (3)
Gabryel M., Scherer M.M., Sulkowski L., Damasevicius R., Decision Making Support System for Managing Advertisers by Ad Fraud Detection. (6)
Decision Making Support System for Managing Advertisers by Ad Fraud Detection
, Decision Making Support System for Managing Advertisers by Ad Fraud Detection, Journal of Artificial Intelligence and Soft Computing Research, 11, 11, 331-339, 2021, Cites: 6
Gabryel M., Kocic M., Fingerprint Device Parameter Stability Analysis. (0)
Fingerprint Device Parameter Stability Analysis
, Fingerprint Device Parameter Stability Analysis, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12855 LNAI, 12855 LNAI, 464-472, 2021, Cites: 0
Gabryel M., Kocic M., Application of a Neural Network to Generate the Hash Code for a Device Fingerprint. (0)
Application of a Neural Network to Generate the Hash Code for a Device Fingerprint
, Application of a Neural Network to Generate the Hash Code for a Device Fingerprint, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12855 LNAI, 12855 LNAI, 456-463, 2021, Cites: 02020 (3)
Gabryel M., Grzanek K., Hayashi Y., Browser fingerprint coding methods increasing the effectiveness of user identification in the web traffic. (15)
Browser fingerprint coding methods increasing the effectiveness of user identification in the web traffic
, Browser fingerprint coding methods increasing the effectiveness of user identification in the web traffic, Journal of Artificial Intelligence and Soft Computing Research, 10, 10, 243-253, 2020, Cites: 15
Gabryel M., Przybyszewski K., Methods of Searching for Similar Device Fingerprints Using Changes in Unstable Parameters. (0)
Methods of Searching for Similar Device Fingerprints Using Changes in Unstable Parameters
, Methods of Searching for Similar Device Fingerprints Using Changes in Unstable Parameters, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12416 LNAI, 12416 LNAI, 325-335, 2020, Cites: 0
Nasir I.M., Khan M.A., Yasmin M., Shah J.H., Gabryel M., Scherer R., Damasevicius R., Pearson correlation-based feature selection for document classification using balanced training. (47)
Pearson correlation-based feature selection for document classification using balanced training
, Pearson correlation-based feature selection for document classification using balanced training, Sensors (Switzerland), 20, 20, 1-18, 2020, Cites: 472019 (2)
Gabryel M., Przybyszewski K., The dynamically modified BoW algorithm used in assessing clicks in online ads. (5)
The dynamically modified BoW algorithm used in assessing clicks in online ads
, The dynamically modified BoW algorithm used in assessing clicks in online ads, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11509 LNAI, 11509 LNAI, 350-360, 2019, Cites: 5
Petraitis T., Maskeliunas R., Damasevicius R., Polap D., Wozniak M., Gabryel M., Environment scene classification based on images using bag-of-words. (2)
Environment scene classification based on images using bag-of-words
, Environment scene classification based on images using bag-of-words, Studies in Computational Intelligence, 829, 829, 281-303, 2019, Cites: 22018 (4)
Gabryel M., Data Analysis Algorithm for Click Fraud Recognition. (15)
Data Analysis Algorithm for Click Fraud Recognition
, Data Analysis Algorithm for Click Fraud Recognition, Communications in Computer and Information Science, 920, 920, 437-446, 2018, Cites: 15
Gabryel M., The bag-of-words method with different types of image features and dictionary analysis. (13)
The bag-of-words method with different types of image features and dictionary analysis
, The bag-of-words method with different types of image features and dictionary analysis, Journal of Universal Computer Science, 24, 24, 357-371, 2018, Cites: 13
Gabryel M., Damasevicius R., Przybyszewski K., Application of the bag-of-words algorithm in classification the quality of sales leads. (10)
Application of the bag-of-words algorithm in classification the quality of sales leads
, Application of the bag-of-words algorithm in classification the quality of sales leads, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10841 LNAI, 10841 LNAI, 615-622, 2018, Cites: 10
Damasevicius R., Maskeliunas R., Wozniak M., Polap D., Sidekerskiene T., Gabryel M., Detection of saliency map as image feature outliers using random projections based method. (4)
Detection of saliency map as image feature outliers using random projections based method
, Detection of saliency map as image feature outliers using random projections based method, ICENCO 2017 - 13th International Computer Engineering Conference: Boundless Smart Societies, 2018-January, 2018-January, 85-90, 2018, Cites: 42017 (4)
Gabryel M., The bag-of-words methods with pareto-fronts for similar image retrieval. (4)
The bag-of-words methods with pareto-fronts for similar image retrieval
, The bag-of-words methods with pareto-fronts for similar image retrieval, Communications in Computer and Information Science, 756, 756, 374-384, 2017, Cites: 4
Gabryel M., Capizzi G., The bag-of-words method with dictionary analysis by evolutionary algorithm. (7)
The bag-of-words method with dictionary analysis by evolutionary algorithm
, The bag-of-words method with dictionary analysis by evolutionary algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10246 LNAI, 10246 LNAI, 43-51, 2017, Cites: 7
Gabryel M., Damasevicius R., The image classification with different types of image features. (31)
The image classification with different types of image features
, The image classification with different types of image features, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10245 LNAI, 10245 LNAI, 497-506, 2017, Cites: 31
Petraitis T., Maskeliunas R., Damasevicius R., Polap D., Wozniak M., Gabryel M., Environment recognition based on images using bag-of-words. (5)
Environment recognition based on images using bag-of-words
, Environment recognition based on images using bag-of-words, IJCCI 2017 - Proceedings of the 9th International Joint Conference on Computational Intelligence, 166-176, 2017, Cites: 52016 (8)
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, Cites: 9
Duda P., Jaworski M., Pietruczuk L., Korytkowski M., Gabryel M., Scherer R., On the application of orthogonal series density estimation for image classification based on feature description. (1)
On the application of orthogonal series density estimation for image classification based on feature description
, On the application of orthogonal series density estimation for image classification based on feature description, Advances in Intelligent Systems and Computing, 364, 364, 529-540, 2016, Cites: 1
Gabryel M., A bag-of-features algorithm for applications using a NoSQL database. (17)
A bag-of-features algorithm for applications using a NoSQL database
, A bag-of-features algorithm for applications using a NoSQL database, Communications in Computer and Information Science, 639, 639, 332-343, 2016, Cites: 17
Kempa W.M., Wozniak M., Nowicki R.K., Gabryel M., Damasevicius R., Transient solution for queueing delay distribution in the GI/M/1/K-type mode with “queued” waking up and balking. (6)
Transient solution for queueing delay distribution in the GI/M/1/K-type mode with “queued” waking up and balking
, Transient solution for queueing delay distribution in the GI/M/1/K-type mode with “queued” waking up and balking, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 340-351, 2016, Cites: 6
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, Cites: 17
Wozniak M., Gabryel M., Nowicki R.K., Nowak B.A., An application of firefly algorithm to position traffic in NoSQL database systems. (16)
An application of firefly algorithm to position traffic in NoSQL database systems
, An application of firefly algorithm to position traffic in NoSQL database systems, Advances in Intelligent Systems and Computing, 416, 416, 259-272, 2016, Cites: 16
Wozniak M., Marszalek Z., Gabryel M., Nowicki R.K., Preprocessing large data sets by the use of quick sort algorithm. (22)
Preprocessing large data sets by the use of quick sort algorithm
, Preprocessing large data sets by the use of quick sort algorithm, Advances in Intelligent Systems and Computing, 364, 364, 111-121, 2016, Cites: 22
Gabryel M., The bag-of-features algorithm for practical applications using the MySQL database. (14)
The bag-of-features algorithm for practical applications using the MySQL database
, The bag-of-features algorithm for practical applications using the MySQL database, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 635-646, 2016, Cites: 142015 (4)
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, Cites: 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, Cites: 19
Wozniak M., Polap D., Gabryel M., Nowicki R.K., Napoli C., Tramontana E., Can we process 2D images using artificial bee colony?. (35)
Can we process 2D images using artificial bee colony?
, Can we process 2D images using artificial bee colony?, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9119, 9119, 660-671, 2015, Cites: 35
Gabryel M., Wozniak M., Damasevicius R., An application of differential evolution to positioning queueing systems. (19)
An application of differential evolution to positioning queueing systems
, An application of differential evolution to positioning queueing systems, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9120, 9120, 379-390, 2015, Cites: 192014 (9)
Ferdowsi S., Voloshynovskiy S., Gabryel M., Korytkowski M., Multi-class classification: A coding based space partitioning. (2)
Multi-class classification: A coding based space partitioning
, Multi-class classification: A coding based space partitioning, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8468 LNAI, 8468 LNAI, 593-604, 2014, Cites: 2
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, Cites: 32
Wozniak M., Kempa W.M., Gabryel M., Nowicki R.K., Shao Z., On applying evolutionary computation methods to optimization of vacation cycle costs in finite-buffer queue. (32)
On applying evolutionary computation methods to optimization of vacation cycle costs in finite-buffer queue
, On applying evolutionary computation methods to optimization of vacation cycle costs in finite-buffer queue, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8467 LNAI, 8467 LNAI, 480-491, 2014, Cites: 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, Cites: 26
Nowak T., Najgebauer P., Romanowski J., Gabryel M., Korytkowski M., Scherer R., Kostadinov D., Spatial keypoint representation for visual object retrieval. (4)
Spatial keypoint representation for visual object retrieval
, Spatial keypoint representation for visual object retrieval, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8468 LNAI, 8468 LNAI, 639-650, 2014, Cites: 4
Wozniak M., Kempa W.M., Gabryel M., Nowicki R.K., A finite-buffer queue with a single vacation policy: An analytical study with evolutionary positioning. (45)
A finite-buffer queue with a single vacation policy: An analytical study with evolutionary positioning
, A finite-buffer queue with a single vacation policy: An analytical study with evolutionary positioning, International Journal of Applied Mathematics and Computer Science, 24, 24, 887-900, 2014, Cites: 45
Nowak T., Gabryel M., Korytkowski M., Scherer R., Comparing images based on histograms of local interest points. (3)
Comparing images based on histograms of local interest points
, Comparing images based on histograms of local interest points, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8384 LNCS, 8384 LNCS, 423-432, 2014, Cites: 3
Grycuk R., Gabryel M., Korytkowski M., Romanowski J., Scherer R., Improved digital image segmentation based on stereo vision and mean shift algorithm. (13)
Improved digital image segmentation based on stereo vision and mean shift algorithm
, 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
Najgebauer P., Nowak T., Romanowski J., Gabryel M., Korytkowski M., Scherer R., Content-based image retrieval by dictionary of local feature descriptors. (5)
Content-based image retrieval by dictionary of local feature descriptors
, Content-based image retrieval by dictionary of local feature descriptors, Proceedings of the International Joint Conference on Neural Networks, 512-517, 2014, Cites: 52013 (3)
Gabryel M., Nowicki R.K., Wozniak M., Kempa W.M., Genetic cost optimization of the GI/M/1/N finite-buffer queue with a single vacation policy. (29)
Genetic cost optimization of the GI/M/1/N finite-buffer queue with a single vacation policy
, Genetic cost optimization of the GI/M/1/N finite-buffer queue with a single vacation policy, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7895 LNAI, 7895 LNAI, 12-23, 2013, Cites: 29
Gabryel M., Korytkowski M., Scherer R., Rutkowski L., Object detection by simple fuzzy classifiers generated by boosting. (24)
Object detection by simple fuzzy classifiers generated by boosting
, Object detection by simple fuzzy classifiers generated by boosting, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7894 LNAI, 7894 LNAI, 540-547, 2013, Cites: 24
Wozniak M., Marszalek Z., Gabryel M., Nowicki R.K., Modified merge sort algorithm for large scale data sets. (28)
Modified merge sort algorithm for large scale data sets
, Modified merge sort algorithm for large scale data sets, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7895 LNAI, 7895 LNAI, 612-622, 2013, Cites: 282012 (3)
Jaworski M., Gabryel M., On learning in a time-varying environment by using a probabilistic neural network and the recursive least squares method. (0)
On learning in a time-varying environment by using a probabilistic neural network and the recursive least squares method
, On learning in a time-varying environment by using a probabilistic neural network and the recursive least squares method, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7267 LNAI, 7267 LNAI, 99-110, 2012, Cites: 0
Rygal J., Najgebauer P., Nowak T., Romanowski J., Gabryel M., Scherer R., Properties and structure of fast text search engine in context of semantic image analysis. (4)
Properties and structure of fast text search engine in context of semantic image analysis
, Properties and structure of fast text search engine in context of semantic image analysis, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7267 LNAI, 7267 LNAI, 592-599, 2012, Cites: 4
Gabryel M., Wozniak M., K. Nowicki R., Creating learning sets for control systems using an evolutionary method. (26)
Creating learning sets for control systems using an evolutionary method
, Creating learning sets for control systems using an evolutionary method, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7269 LNCS, 7269 LNCS, 206-213, 2012, Cites: 262010 (2)
Gabryel M., Korytkowski M., Pokropinska A., Scherer R., Drozda S., Evolutionary learning for neuro-fuzzy ensembles with generalized parametric triangular norms. (1)
Evolutionary learning for neuro-fuzzy ensembles with generalized parametric triangular norms
, Evolutionary learning for neuro-fuzzy ensembles with generalized parametric triangular norms, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6113 LNAI, 6113 LNAI, 74-79, 2010, Cites: 1
Gabryel M., Rutkowski L., Evolutionary designing of logic-type fuzzy systems. (5)
Evolutionary designing of logic-type fuzzy systems
, Evolutionary designing of logic-type fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6114 LNAI, 6114 LNAI, 143-148, 2010, Cites: 52008 (2)
Gabryel M., Rutkowski L., Evolutionary methods for designing neuro-fuzzy modular systems combined by bagging algorithm. (10)
Evolutionary methods for designing neuro-fuzzy modular systems combined by bagging algorithm
, Evolutionary methods for designing neuro-fuzzy modular systems combined by bagging algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5097 LNAI, 5097 LNAI, 398-404, 2008, Cites: 10
Korytkowski M., Gabryel M., Rutkowski L., Drozda S., Evolutionary methods to create interpretable modular system. (13)
Evolutionary methods to create interpretable modular system
, Evolutionary methods to create interpretable modular system, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5097 LNAI, 5097 LNAI, 405-413, 2008, Cites: 132006 (1)
Gabryel M., Rutkowski L., Evolutionary learning of mamdani-type neuro-fuzzy systems. (19)
Evolutionary learning of mamdani-type neuro-fuzzy systems
, Evolutionary learning of mamdani-type neuro-fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4029 LNAI, 4029 LNAI, 354-359, 2006, Cites: 192004 (2)
Korytkowski M., Gabryel M., Nowicki R., Scherer R., Genetic algorithm for database indexing. (2)
Genetic algorithm for database indexing
, Genetic algorithm for database indexing, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 3070, 3070, 1142-1147, 2004, Cites: 2
Korytkowski M., Gabryel M., Gaweda A., Recursive probabilistic neural networks. (3)
