J. Nalepa

发表

Spatial-based skin detection using discriminative skin-presence features

Jakub Nalepa, Michal Kawulok, Jolanta Kawulok, 2014, Pattern Recognit. Lett..

Adaptive memetic algorithm for minimizing distance in the vehicle routing problem with time windows

Jakub Nalepa, Miroslaw Blocho, Miroslaw Blocho, 2016, Soft Comput..

Fast and Accurate Hand Shape Classification

M. Kawulok, J. Nalepa, 2014, BDAS.

Graph Neural Networks Extract High-Resolution Cultivated Land Maps From Sentinel-2 Image Series

M. Kawulok, B. L. Saux, N. Longépé, 2022, IEEE Geoscience and Remote Sensing Letters.

Are Cloud Detection U-Nets Robust Against in-Orbit Image Acquisition Conditions?

M. Kawulok, B. Grabowski, N. Longépé, 2022, IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.

Cooperative co-evolutionary memetic algorithm for pickup and delivery problem with time windows

Miroslaw Blocho, J. Nalepa, Tomasz Jastrząb, 2022, GECCO Companion.

Evolving Deep Ensembles For Detecting Covid-19 In Chest X-Rays

J. Nalepa, Piotr Bosowski, Joanna Bosowska, 2021, 2021 IEEE International Conference on Image Processing (ICIP).

MuS2: A Benchmark for Sentinel-2 Multi-Image Super-Resolution

M. Kawulok, P. Rokita, Daniel Kostrzewa, 2022, 2210.02745.

Self-Configuring nnU-Nets Detect Clouds in Satellite Images

M. Kawulok, B. L. Saux, B. Grabowski, 2022, ArXiv.

Risk factors for cardiovascular disease in patients with metabolic-associated fatty liver disease: a machine learning approach

J. Gumprecht, G. Lip, Hanna Kwiendacz, 2022, Cardiovascular Diabetology.

Selecting training sets for support vector machines: a review

M. Kawulok, J. Nalepa, 2019, Artificial Intelligence Review.

Unbiasing the Estimation of Chlorophyll from Hyperspectral Images: A Benchmark Dataset, Validation Procedure and Baseline Results

Agata M. Wijata, J. Nalepa, B. Ruszczak, 2022, Remote. Sens..

Adaptive guided ejection search for pickup and delivery with time windows

Jakub Nalepa, Miroslaw Blocho, Miroslaw Blocho, 2017, J. Intell. Fuzzy Syst..

Towards resource-frugal deep convolutional neural networks for hyperspectral image segmentation

Jakub Nalepa, Michal Myller, Pablo Ribalta Lorenzo, 2020, Microprocess. Microsystems.

Validating Hyperspectral Image Segmentation

Jakub Nalepa, Michal Kawulok, Michal Myller, 2018, IEEE Geoscience and Remote Sensing Letters.

Support Vector Machines Training Data Selection Using a Genetic Algorithm

Jakub Nalepa, Michal Kawulok, M. Kawulok, 2012, SSPR/SPR.

Hyperspectral Data Augmentation pdf

Jakub Nalepa, Michal Kawulok, Michal Myller, 2019, ArXiv.

Wrist Localization in Color Images for Hand Gesture Recognition

Jakub Nalepa, Michal Kawulok, Tomasz Grzejszczak, 2013, ICMMI.

Data Augmentation for Brain-Tumor Segmentation: A Review

Jakub Nalepa, Michal Kawulok, Michal Marcinkiewicz, 2019, Front. Comput. Neurosci..

Data Augmentation via Image Registration

Jakub Nalepa, Michal Kawulok, Wojciech Dudzik, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

AIM and Brain Tumors

J. Nalepa, 2021, Artificial Intelligence in Medicine.

Towards parameter-less support vector machines

Jakub Nalepa, Michal Kawulok, Krzysztof Siminski, 2015, 2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR).

Where machine learning meets smart delivery systems

Jakub Nalepa, J. Nalepa, 2020 .

Unbiased Validation of the Algorithms for Automatic Needle Localization in Ultrasound-Guided Breast Biopsies

Agata M. Wijata, J. Nalepa, 2022, 2022 IEEE International Conference on Image Processing (ICIP).

Machine learning predicts cardiovascular events in patients with diabetes: The Silesia Diabetes-Heart Project.

Agata M. Wijata, J. Gumprecht, G. Lip, 2023, Current problems in cardiology.

Deep learning automates bidimensional and volumetric tumor burden measurement from MRI in pre- and post-operative glioblastoma patients

F. Arcadu, K. Kotowski, J. Nalepa, 2022, Comput. Biol. Medicine.

Particle swarm optimization for hyper-parameter selection in deep neural networks

José Ranilla, Jakub Nalepa, Michal Kawulok, 2017, GECCO.

Transferring Information Across Medical Images of Different Modalities

Jakub Nalepa, Michael P. Hayball, Janusz Szymanek, 2018, ICPRAM.

Selecting training sets for support vector machines: a review

Jakub Nalepa, Michal Kawulok, M. Kawulok, 2018, Artificial Intelligence Review.

The Smaller, the Better: Selecting Refined SVM Training Sets Using Adaptive Memetic Algorithm

Jakub Nalepa, Michal Kawulok, M. Kawulok, 2016, GECCO.

Hyperspectral Band Selection Using Attention-Based Convolutional Neural Networks

Jakub Nalepa, Michal Marcinkiewicz, Lukasz Tulczyjew, 2020, IEEE Access.

Adaptive memetic algorithm for the job shop scheduling problem

Jakub Nalepa, Michal Kawulok, Marcin Cwiek, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Robust switching technique of impulsive noise removal in color digital images

Jakub Nalepa, Bogusław Cyganek, Bogdan Smolka, 2019, Defense + Commercial Sensing.

Segmenting Brain Tumors from MRI Using Cascaded Multi-modal U-Nets

Jakub Nalepa, Wojciech Dudzik, Grzegorz Mrukwa, 2018, BrainLes@MICCAI.

Training- and Test-Time Data Augmentation for Hyperspectral Image Segmentation

Jakub Nalepa, Michal Kawulok, Michal Myller, 2020, IEEE Geoscience and Remote Sensing Letters.

Hyper-parameter selection in deep neural networks using parallel particle swarm optimization

José Ranilla, Jakub Nalepa, Pablo Ribalta Lorenzo, 2017, GECCO.

Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors

Jakub Nalepa, Michal Kawulok, Wojciech Dudzik, 2019, Artif. Intell. Medicine.

Recent Advances in Multi- and Hyperspectral Image Analysis

Jakub Nalepa, J. Nalepa, 2021, Sensors.

Biomedical image analysis competitions: The state of current participation practice

Anne L. Martel, Helena R. Torres, Bjoern H Menze, 2022, ArXiv.

Towards On-Board Hyperspectral Satellite Image Segmentation: Understanding Robustness of Deep Learning through Simulating Acquisition Conditions

Jakub Nalepa, Michal Kawulok, Marcin Cwiek, 2021, Remote. Sens..

Lightweight U-Nets for Brain Tumor Segmentation

M. Kawulok, J. Nalepa, Tomasz Tarasiewicz, 2020, BrainLes@MICCAI.

Segmenting brain tumors from FLAIR MRI using fully convolutional neural networks

Jakub Nalepa, Michal Kawulok, Barbara Bobek-Billewicz, 2019, Comput. Methods Programs Biomed..

Segmenting pediatric optic pathway gliomas from MRI using deep learning

K. Kotowski, E. Jurkiewicz, J. Nalepa, 2022, Comput. Biol. Medicine.

Unsupervised Segmentation of Hyperspectral Images Using 3-D Convolutional Autoencoders

Jakub Nalepa, Tomomi Takeda, Michal Myller, 2019, IEEE Geoscience and Remote Sensing Letters.

Skinny: A Lightweight U-Net For Skin Detection And Segmentation

Jakub Nalepa, Tomasz Tarasiewicz, Michal Kawulok, 2020, 2020 IEEE International Conference on Image Processing (ICIP).

Self-adaptive algorithm for segmenting skin regions

M. Kawulok, B. Smolka, Jolanta Kawulok, 2014, EURASIP J. Adv. Signal Process..

Skin Detection and Segmentation in Color Images

Jakub Nalepa, Michal Kawulok, Jolanta Kawulok, 2014 .

Dynamics of facial actions for assessing smile genuineness.

M. Kawulok, B. Smolka, Jolanta Kawulok, 2021, PloS one.

Co-operation in the Parallel Memetic Algorithm

Jakub Nalepa, Miroslaw Blocho, Miroslaw Blocho, 2014, International Journal of Parallel Programming.

Texture Analysis for Identifying Heterogeneity in Medical Images

Jakub Nalepa, Stephen J. Brown, Balaji Ganeshan, 2014, ICCVG.

Deep learning for fast super-resolution reconstruction from multiple images

Jakub Nalepa, Michal Kawulok, Pawel Benecki, 2019, Defense + Commercial Sensing.

Genetically-trained deep neural networks

Jakub Nalepa, Michal Kawulok, Krzysztof Pawelczyk, 2018, GECCO.

Deep Learning for Multiple-Image Super-Resolution

Jakub Nalepa, Michal Kawulok, Pawel Benecki, 2019, IEEE Geoscience and Remote Sensing Letters.

Hybrid adaptation for detecting skin in color images

Jakub Nalepa, Michal Kawulok, Bogdan Smolka, 2016, Intell. Data Anal..

Real-Time Hand Shape Classification

Jakub Nalepa, Michal Kawulok, M. Kawulok, 2014, ArXiv.

Real-Time People Counting from Depth Images

Jakub Nalepa, Michal Kawulok, Janusz Szymanek, 2015, BDAS.

Evolving data-adaptive support vector machines for binary classification

Jakub Nalepa, Michal Kawulok, Wojciech Dudzik, 2021, Knowl. Based Syst..

A Parallel Memetic Algorithm for the Pickup and Delivery Problem with Time Windows

Jakub Nalepa, Miroslaw Blocho, Miroslaw Blocho, 2017, 2017 25th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP).

A Parallel Algorithm with the Search Space Partition for the Pickup and Delivery with Time Windows

Jakub Nalepa, Miroslaw Blocho, Miroslaw Blocho, 2015, 2015 10th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC).

Detecting liver cirrhosis in computed tomography scans using clinically-inspired and radiomic features

Krzysztof Kotowski, J. Nalepa, B. Gutiérrez-Becker, 2022, Comput. Biol. Medicine.

Manifold Learning for Hand Pose Recognition: Evaluation Framework

Jakub Nalepa, Michal Kawulok, Maciej Papiez, 2015, BDAS.

Band Selection from Hyperspectral Images Using Attention-based Convolutional Neural Networks pdf

Jakub Nalepa, Pablo Ribalta Lorenzo, Michal Marcinkiewicz, 2018, ArXiv.

Self-adaptive algorithm for segmenting skin regions

Jakub Nalepa, Michal Kawulok, Bogdan Smolka, 2014, EURASIP J. Adv. Signal Process..

OXI: An online tool for visualization and annotation of satellite time series data

K. Kotowski, J. Nalepa, B. Ruszczak, 2023, SoftwareX.

Taking Artificial Intelligence Into Space Through Objective Selection of Hyperspectral Earth Observation Applications: To bring the “brain” close to the “eyes” of satellite missions

Agata M. Wijata, F. Gascon, J. Nieke, 2023, IEEE Geoscience and Remote Sensing Magazine.

Towards Robust Evaluation of Super-Resolution Satellite Image Reconstruction

Jakub Nalepa, Michal Kawulok, Pawel Benecki, 2018, ACIIDS.

Memetic evolution of deep neural networks

Jakub Nalepa, Pablo Ribalta Lorenzo, J. Nalepa, 2018, GECCO.

Robust enhancement technique for color images corrupted by impulsive noise

Jakub Nalepa, Bogusław Cyganek, Bogdan Smolka, 2018, Commercial + Scientific Sensing and Imaging.

Detecting Clouds in Multispectral Satellite Images Using Quantum-Kernel Support Vector Machines

B. L. Saux, B. Grabowski, J. Nalepa, 2023, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Cloud Detection in Multispectral Satellite Images Using Support Vector Machines With Quantum Kernels

B. L. Saux, B. Grabowski, J. Nalepa, 2023, ArXiv.

The Hyperview Challenge: Estimating Soil Parameters from Hyperspectral Images

M. Kawulok, B. L. Saux, N. Longépé, 2022, 2022 IEEE International Conference on Image Processing (ICIP).

Towards Robust Cloud Detection in Satellite Images Using U-Nets

Jakub Nalepa, Michal Kawulok, Bartosz Grabowski, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

Memetic Evolution of Training Sets with Adaptive Radial Basis Kernels for Support Vector Machines

Jakub Nalepa, Michal Kawulok, Wojciech Dudzik, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Segmenting Hyperspectral Images Using Spectral Convolutional Neural Networks in the Presence of Noise

J. Nalepa, M. Stanek, 2020, IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium.

Adaptive memetic algorithm enhanced with data geometry analysis to select training data for SVMs

Jakub Nalepa, Michal Kawulok, M. Kawulok, 2016, Neurocomputing.

Dynamically Adaptive Genetic Algorithm to Select Training Data for SVMs

Jakub Nalepa, Michal Kawulok, M. Kawulok, 2014, IBERAMIA.

A memetic algorithm to select training data for support vector machines

Jakub Nalepa, Michal Kawulok, M. Kawulok, 2014, GECCO.

Adaptive Genetic Algorithm to Select Training Data for Support Vector Machines

Jakub Nalepa, Michal Kawulok, M. Kawulok, 2014, EvoApplications.

Unsupervised Feature Learning Using Recurrent Neural Nets for Segmenting Hyperspectral Images

Jakub Nalepa, Michal Kawulok, Lukasz Tulczyjew, 2020, IEEE Geoscience and Remote Sensing Letters.

Multitemporal and Multispectral Data Fusion for Super-Resolution of Sentinel-2 Images

J. A. Briffa, M. Kawulok, J. Nalepa, 2023, IEEE Transactions on Geoscience and Remote Sensing.

Evaluating algorithms for anomaly detection in satellite telemetry data

Daniel Kostrzewa, J. Nalepa, Michal Myller, 2022, Acta Astronautica.

Detecting anomalies in spacecraft telemetry using evolutionary thresholding and LSTMs

Jakub Nalepa, Pawel Benecki, Daniel Kostrzewa, 2021, GECCO Companion.

Multi-modal U-Nets with Boundary Loss and Pre-training for Brain Tumor Segmentation

Jakub Nalepa, Pablo Ribalta Lorenzo, Michal Marcinkiewicz, 2019, BrainLes@MICCAI.

Deep Learning Meets Radiomics For End-To-End Brain Tumor MRI Analysis

J. Nalepa, Wojciech Ponikiewski, 2022, 2022 IEEE International Conference on Image Processing (ICIP).

A Multibranch Convolutional Neural Network for Hyperspectral Unmixing

M. Kawulok, B. L. Saux, N. Longépé, 2022, IEEE Geoscience and Remote Sensing Letters.

Investigating the Impact of the Training Set Size on Deep Learning-Powered Hyperspectral Unmixing

Jakub Nalepa, Lukasz Tulczyjew, J. Nalepa, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

Machine learning profiles of cardiovascular risk in patients with diabetes mellitus: the Silesia Diabetes-Heart Project

Agata M. Wijata, J. Gumprecht, G. Lip, 2023, Cardiovascular Diabetology.

Biomedical image analysis competitions: The state of current participation practice

Anne L. Martel, Helena R. Torres, Bjoern H Menze, 2022, arXiv.org.

On the Importance of Sign Labeling: The Hamburg Sign Language Notation System Case Study

Marta A. Plantykow, J. Nalepa, Sylwia Majchrowska, 2023, ArXiv.

Hyperspectral Image Classification Using Spectral-Spatial Convolutional Neural Networks

M. Kawulok, J. Nalepa, Lukasz Tulczyjew, 2020, IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium.

Segmenting Hyperspectral Images Using Spectral-Spatial Convolutional Neural Networks With Training-Time Data Augmentation pdf

Jakub Nalepa, Michal Kawulok, Michal Myller, 2019, ArXiv.

Detection and Segmentation of Brain Tumors from MRI Using U-Nets

Jakub Nalepa, Wojciech Dudzik, Krzysztof Kotowski, 2019, BrainLes@MICCAI.

Evolutionary cortical surface segmentation

Jakub Nalepa, Wojciech Dudzik, Bogdan Smolka, 2018, Commercial + Scientific Sensing and Imaging.

On data augmentation for segmenting hyperspectral images

Jakub Nalepa, Michal Kawulok, Bogdan Smolka, 2019, Defense + Commercial Sensing.

Benchmarking Deep Learning for On-Board Space Applications

Jakub Nalepa, Michal Myller, Maciej Ziaja, 2021, Remote. Sens..

Standardized validation of vehicle routing algorithms

M. Kawulok, Miroslaw Blocho, J. Nalepa, 2024, Applied Intelligence.

A Graph Neural Network For Multiple-Image Super-Resolution

Jakub Nalepa, Tomasz Tarasiewicz, Michal Kawulok, 2021, 2021 IEEE International Conference on Image Processing (ICIP).

Super-Resolution Reconstruction Using Deep Learning: Should We Go Deeper?

Jakub Nalepa, Michal Kawulok, Pawel Benecki, 2019, BDAS.

Early detection of Solanum lycopersicum diseases from temporally-aggregated hyperspectral measurements using machine learning

J. Nalepa, M. Tomaszewski, B. Ruszczak, 2023, Scientific reports.

Memetic Evolution of Classification Ensembles

Jakub Nalepa, Michal Kawulok, Szymon Piechaczek, 2019, EvoApplications.

Squeezing adaptive deep learning methods with knowledge distillation for on-board cloud detection

M. Kawulok, B. Grabowski, J. Nalepa, 2024, Eng. Appl. Artif. Intell..