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Jakub Nalepa
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Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
20622018
Selecting training sets for support vector machines: a review
J Nalepa, M Kawulok
Artificial Intelligence Review 52 (2), 857-900, 2019
3892019
Data augmentation for brain-tumor segmentation: a review
J Nalepa, M Marcinkiewicz, M Kawulok
Frontiers in computational neuroscience 13, 83, 2019
3382019
Particle swarm optimization for hyper-parameter selection in deep neural networks
PR Lorenzo, J Nalepa, M Kawulok, LS Ramos, JR Pastor
Proceedings of the genetic and evolutionary computation conference, 481-488, 2017
3242017
Spatial-based skin detection using discriminative skin-presence features
M Kawulok, J Kawulok, J Nalepa
Pattern Recognition Letters 41, 3-13, 2014
1382014
Training-and test-time data augmentation for hyperspectral image segmentation
J Nalepa, M Myller, M Kawulok
IEEE Geoscience and Remote Sensing Letters 17 (2), 292-296, 2019
128*2019
Adaptive memetic algorithm for minimizing distance in the vehicle routing problem with time windows
J Nalepa, M Blocho
Soft Computing 20, 2309-2327, 2016
1112016
Deep learning for multiple-image super-resolution
M Kawulok, P Benecki, S Piechaczek, K Hrynczenko, D Kostrzewa, ...
IEEE Geoscience and Remote Sensing Letters 17 (6), 1062-1066, 2019
1092019
Self-adaptive algorithm for segmenting skin regions
M Kawulok, J Kawulok, J Nalepa, B Smolka
EURASIP Journal on Advances in Signal Processing 2014, 1-22, 2014
1012014
Hyperspectral band selection using attention-based convolutional neural networks
PR Lorenzo, L Tulczyjew, M Marcinkiewicz, J Nalepa
IEEE Access 8, 42384-42403, 2020
95*2020
Validating hyperspectral image segmentation
J Nalepa, M Myller, M Kawulok
IEEE Geoscience and Remote Sensing Letters 16 (8), 1264-1268, 2019
952019
Hyper-parameter selection in deep neural networks using parallel particle swarm optimization
PR Lorenzo, J Nalepa, LS Ramos, JR Pastor
Proceedings of the genetic and evolutionary computation conference companion …, 2017
892017
Unsupervised segmentation of hyperspectral images using 3-D convolutional autoencoders
J Nalepa, M Myller, Y Imai, K Honda, T Takeda, M Antoniak
IEEE Geoscience and Remote Sensing Letters 17 (11), 1948-1952, 2020
762020
Segmenting brain tumors from FLAIR MRI using fully convolutional neural networks
PR Lorenzo, J Nalepa, B Bobek-Billewicz, P Wawrzyniak, G Mrukwa, ...
Computer methods and programs in biomedicine 176, 135-148, 2019
702019
Memetic evolution of deep neural networks
PR Lorenzo, J Nalepa
Proceedings of the genetic and evolutionary computation conference, 505-512, 2018
662018
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors
J Nalepa, PR Lorenzo, M Marcinkiewicz, B Bobek-Billewicz, ...
Artificial intelligence in medicine 102, 101769, 2020
622020
Support vector machines training data selection using a genetic algorithm
M Kawulok, J Nalepa
Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2012
592012
Risk factors for cardiovascular disease in patients with metabolic-associated fatty liver disease: a machine learning approach
K Drożdż, K Nabrdalik, H Kwiendacz, M Hendel, A Olejarz, A Tomasik, ...
Cardiovascular diabetology 21 (1), 240, 2022
572022
Towards resource-frugal deep convolutional neural networks for hyperspectral image segmentation
J Nalepa, M Antoniak, M Myller, PR Lorenzo, M Marcinkiewicz
Microprocessors and Microsystems 73, 102994, 2020
562020
Adaptive memetic algorithm enhanced with data geometry analysis to select training data for SVMs
J Nalepa, M Kawulok
Neurocomputing 185, 113-132, 2016
562016
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Articles 1–20