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Jakub Nalepa

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affiliation: Silesian University of Technology, Gliwice, Poland

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2024
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Tomasz Jastrzab, Michal Myller, Lukasz Tulczyjew, Miroslaw Blocho, Michal Kawulok, Adam Czornik, Jakub Nalepa:
Standardized validation of vehicle routing algorithms. Appl. Intell. 54(2): 1335-1364 (2024)
[j42]
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Bartosz Machura, Damian Kucharski, Oskar Bozek, Bartosz Eksner, Bartosz Kokoszka, Tomasz Pekala, Mateusz Radom, Marek Strzelczak, Lukasz Zarudzki, Benjamín Gutiérrez-Becker, Agata Krason, Jean Tessier, Jakub Nalepa:
Deep learning ensembles for detecting brain metastases in longitudinal multi-modal MRI studies. Comput. Medical Imaging Graph. 116: 102401 (2024)
[j41]
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Daniel Marek, Jakub Nalepa:
End-to-end deep learning pipeline for on-board extraterrestrial rock segmentation. Eng. Appl. Artif. Intell. 127(Part B): 107311 (2024)
[j40]
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Bartosz Grabowski, Maciej Ziaja, Michal Kawulok, Piotr Bosowski, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa:
Squeezing adaptive deep learning methods with knowledge distillation for on-board cloud detection. Eng. Appl. Artif. Intell. 132: 107835 (2024)
[j39]
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Ramez Shendy, Jakub Nalepa:
Few-shot satellite image classification for bringing deep learning on board OPS-SAT. Expert Syst. Appl. 251: 123984 (2024)
[j38]
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Maria Ferlin, Sylwia Majchrowska, Marta A. Plantykow, Alicja Kwasniewska, Agnieszka Mikolajczyk-Barela, Milena Olech, Jakub Nalepa:
Quantifying inconsistencies in the Hamburg Sign Language Notation System. Expert Syst. Appl. 256: 124911 (2024)
[j37]
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Wojciech Dudzik, Jakub Nalepa, Michal Kawulok:
Ensembles of evolutionarily-constructed support vector machine cascades. Knowl. Based Syst. 288: 111490 (2024)
[j36]
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Michal Kawulok, Pawel Kowaleczko, Maciej Ziaja, Jakub Nalepa, Daniel Kostrzewa, Daniele Latini, Davide De Santis, Giorgia Salvucci, Ilaria Petracca, Valeria La Pegna, Zoltan Bartalis, Fabio Del Frate:
Hyperspectral Image Super-Resolution: Task-Based Evaluation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 18949-18966 (2024)
2023
[j35]
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Krzysztof Kotowski, Damian Kucharski, Bartosz Machura, Szymon Adamski, Benjamín Gutiérrez-Becker, Agata Krason, Lukasz Zarudzki, Jean Tessier, Jakub Nalepa:
Detecting liver cirrhosis in computed tomography scans using clinically-inspired and radiomic features. Comput. Biol. Medicine 152: 106378 (2023)
[j34]
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Jakub Nalepa, Krzysztof Kotowski, Bartosz Machura, Szymon Adamski, Oskar Bozek, Bartosz Eksner, Bartosz Kokoszka, Tomasz Pekala, Mateusz Radom, Marek Strzelczak, Lukasz Zarudzki, Agata Krason, Filippo Arcadu, Jean Tessier:
Deep learning automates bidimensional and volumetric tumor burden measurement from MRI in pre- and post-operative glioblastoma patients. Comput. Biol. Medicine 154: 106603 (2023)
[j33]
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Bogdan Ruszczak, Krzysztof Kotowski, Jacek Andrzejewski, Christoph Haskamp, Jakub Nalepa:
OXI: An online tool for visualization and annotation of satellite time series data. SoftwareX 23: 101476 (2023)
[j32]
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Artur Miroszewski, Jakub Mielczarek, Grzegorz Czelusta, Filip Szczepanek, Bartosz Grabowski, Bertrand Le Saux, Jakub Nalepa:
Detecting Clouds in Multispectral Satellite Images Using Quantum-Kernel Support Vector Machines. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 7601-7613 (2023)
[j31]
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Tomasz Tarasiewicz, Jakub Nalepa, Reuben A. Farrugia, Gianluca Valentino, Mang Chen, Johann A. Briffa, Michal Kawulok:
Multitemporal and Multispectral Data Fusion for Super-Resolution of Sentinel-2 Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-19 (2023)
2022
[j30]
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Jakub Nalepa, Szymon Adamski, Krzysztof Kotowski, Sylwia Chelstowska, Magdalena Machnikowska-Sokolowska, Oskar Bozek, Agata Wisz, Elzbieta Jurkiewicz:
Segmenting pediatric optic pathway gliomas from MRI using deep learning. Comput. Biol. Medicine 142: 105237 (2022)
[j29]
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Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa:
Graph Neural Networks Extract High-Resolution Cultivated Land Maps From Sentinel-2 Image Series. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022)
[j28]
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Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa:
A Multibranch Convolutional Neural Network for Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022)
[j27]
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Bogdan Ruszczak, Agata M. Wijata, Jakub Nalepa:
Unbiasing the Estimation of Chlorophyll from Hyperspectral Images: A Benchmark Dataset, Validation Procedure and Baseline Results. Remote. Sens. 14(21): 5526 (2022)
[j26]
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Tomasz Gandor, Jakub Nalepa:
First Gradually, Then Suddenly: Understanding the Impact of Image Compression on Object Detection Using Deep Learning. Sensors 22(3): 1104 (2022)
2021
[j25]
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Wojciech Dudzik, Jakub Nalepa, Michal Kawulok:
Evolving data-adaptive support vector machines for binary classification. Knowl. Based Syst. 227: 107221 (2021)
[j24]
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Lukasz Tulczyjew, Michal Kawulok, Jakub Nalepa:
Unsupervised Feature Learning Using Recurrent Neural Nets for Segmenting Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 18(12): 2142-2146 (2021)
[j23]
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Jakub Nalepa, Michal Myller, Marcin Cwiek, Lukasz Zak, Tomasz Lakota, Lukasz Tulczyjew, Michal Kawulok:
Towards On-Board Hyperspectral Satellite Image Segmentation: Understanding Robustness of Deep Learning through Simulating Acquisition Conditions. Remote. Sens. 13(8): 1532 (2021)
[j22]
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  - journals/remotesensing/ZiajaBMGGPBJDN21
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Maciej Ziaja, Piotr Bosowski, Michal Myller, Grzegorz Gajoch, Michal Gumiela, Jennifer Protich, Katherine Borda, Dhivya Jayaraman, Renata Dividino, Jakub Nalepa:
Benchmarking Deep Learning for On-Board Space Applications. Remote. Sens. 13(19): 3981 (2021)
[j21]
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Jakub Nalepa, Michal Myller, Lukasz Tulczyjew, Michal Kawulok:
Deep Ensembles for Hyperspectral Image Data Classification and Unmixing. Remote. Sens. 13(20): 4133 (2021)
[j20]
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Jakub Nalepa:
Recent Advances in Multi- and Hyperspectral Image Analysis. Sensors 21(18): 6002 (2021)
2020
[j19]
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Pablo Ribalta Lorenzo, Lukasz Tulczyjew, Michal Marcinkiewicz, Jakub Nalepa:
Hyperspectral Band Selection Using Attention-Based Convolutional Neural Networks. IEEE Access 8: 42384-42403 (2020)
[j18]
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Jakub Nalepa, Pablo Ribalta Lorenzo, Michal Marcinkiewicz, Barbara Bobek-Billewicz, Pawel Wawrzyniak, Maksym Walczak, Michal Kawulok, Wojciech Dudzik, Krzysztof Kotowski, Izabela Burda, Bartosz Machura, Grzegorz Mrukwa, Pawel Ulrych, Michael P. Hayball:
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors. Artif. Intell. Medicine 102: 101769 (2020)
[j17]
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Jakub Nalepa, Michal Myller, Michal Kawulok:
Training- and Test-Time Data Augmentation for Hyperspectral Image Segmentation. IEEE Geosci. Remote. Sens. Lett. 17(2): 292-296 (2020)
[j16]
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Michal Kawulok, Pawel Benecki, Szymon Piechaczek, Krzysztof Hrynczenko, Daniel Kostrzewa, Jakub Nalepa:
Deep Learning for Multiple-Image Super-Resolution. IEEE Geosci. Remote. Sens. Lett. 17(6): 1062-1066 (2020)
[j15]
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Jakub Nalepa, Michal Myller, Michal Kawulok:
Transfer Learning for Segmenting Dimensionally Reduced Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 17(7): 1228-1232 (2020)
[j14]
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Jakub Nalepa, Michal Myller, Yasuteru Imai, Ken-ichi Honda, Tomomi Takeda, Marek Antoniak:
Unsupervised Segmentation of Hyperspectral Images Using 3-D Convolutional Autoencoders. IEEE Geosci. Remote. Sens. Lett. 17(11): 1948-1952 (2020)
[j13]
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Jakub Nalepa, Marek Antoniak, Michal Myller, Pablo Ribalta Lorenzo, Michal Marcinkiewicz:
Towards resource-frugal deep convolutional neural networks for hyperspectral image segmentation. Microprocess. Microsystems 73: 102994 (2020)
2019
[j12]
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Jakub Nalepa, Michal Kawulok:
Selecting training sets for support vector machines: a review. Artif. Intell. Rev. 52(2): 857-900 (2019)
[j11]
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Pablo Ribalta Lorenzo, Jakub Nalepa, Barbara Bobek-Billewicz, Pawel Wawrzyniak, Grzegorz Mrukwa, Michal Kawulok, Pawel Ulrych, Michael P. Hayball:
Segmenting brain tumors from FLAIR MRI using fully convolutional neural networks. Comput. Methods Programs Biomed. 176: 135-148 (2019)
[j10]
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Jakub Nalepa, Michal Marcinkiewicz, Michal Kawulok:
Data Augmentation for Brain-Tumor Segmentation: A Review. Frontiers Comput. Neurosci. 13: 83 (2019)
[j9]
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Jakub Nalepa, Michal Myller, Michal Kawulok:
Validating Hyperspectral Image Segmentation. IEEE Geosci. Remote. Sens. Lett. 16(8): 1264-1268 (2019)
2018
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Jakub Nalepa, Miroslaw Blocho:
Adaptive cooperation in parallel memetic algorithms for rich vehicle routing problems. Int. J. Grid Util. Comput. 9(2): 179-192 (2018)
2017
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Jakub Nalepa, Miroslaw Blocho:
Adaptive guided ejection search for pickup and delivery with time windows. J. Intell. Fuzzy Syst. 32(2): 1547-1559 (2017)
2016
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Michal Kawulok, Jolanta Kawulok, Jakub Nalepa, Bogdan Smolka:
Hybrid adaptation for detecting skin in color images. Intell. Data Anal. 20(s1): S121-S139 (2016)
[j5]
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Jakub Nalepa, Michal Kawulok:
Adaptive memetic algorithm enhanced with data geometry analysis to select training data for SVMs. Neurocomputing 185: 113-132 (2016)
[j4]
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Jakub Nalepa, Miroslaw Blocho:
Adaptive memetic algorithm for minimizing distance in the vehicle routing problem with time windows. Soft Comput. 20(6): 2309-2327 (2016)
2015
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Jakub Nalepa, Miroslaw Blocho:
Co-operation in the Parallel Memetic Algorithm. Int. J. Parallel Program. 43(5): 812-839 (2015)
2014
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Michal Kawulok, Jolanta Kawulok, Jakub Nalepa, Bogdan Smolka:
Self-adaptive algorithm for segmenting skin regions. EURASIP J. Adv. Signal Process. 2014: 170 (2014)
[j1]
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Michal Kawulok, Jolanta Kawulok, Jakub Nalepa:
Spatial-based skin detection using discriminative skin-presence features. Pattern Recognit. Lett. 41: 3-13 (2014)

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2024
[c124]
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Bogdan Ruszczak, Michal Myller, Lukasz Tulczyjew, Agata Wijata, Jakub Nalepa:
Particle Swarm Optimization Meets Deep Learning for Estimating Root-Zone Soil Moisture from Hyperspectral Images. GECCO Companion 2024: 695-698
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Lukasz Tulczyjew, Michal Przewozniczek, Renato Tinós, Agata M. Wijata, Jakub Nalepa:
CANNIBAL Unveils the Hidden Gems: Hyperspectral Band Selection via Clustering of Weighted Variable Interaction Graphs. GECCO 2024
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Agata M. Wijata, Bartlomiej Pycinski, Jakub Nalepa:
Selecting Image Features for Biopsy Needle Detection in Ultrasound Images Using Genetic Algorithms. GECCO Companion 2024: 703-706
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Martyna Kurbiel, Agata M. Wijata, Jakub Nalepa:
Predicting the MGMT Promoter Methylation Status in T2-FLAIR Magnetic Resonance Imaging Scans Using Machine Learning. ICPRAM 2024: 872-879
[c120]
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Bartosz Grabowski, Agata M. Wijata, Lukasz Tulczyjew, Bertrand Le Saux, Jakub Nalepa:
Soil Analysis with Very Few Labels Using Semi-Supervised Hyperspectral Image Classification. IGARSS 2024: 407-411
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Wiktor Gacek, Lukasz Tulczyjew, Agata M. Wijata, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa:
Estimating Soil Parameters from Hyperspectral Imagesusing Ensembles of Classic and Deep Machine Learning Models. IGARSS 2024: 412-416
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Artur Miroszewski, Bertrand Le Saux, Nicolas Longépé, Jakub Nalepa:
Utility of Quantum Kernel Machines in Remote Sensing Applications. IGARSS 2024: 799-803
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Agata M. Wijata, Artur Miroszewski, Bertrand Le Saux, Nicolas Longépé, Bogdan Ruszczak, Jakub Nalepa:
Detection of Bare Soil in Hyperspectral Images Using Quantum-Kernel Support Vector Machines. IGARSS 2024: 817-822
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Agata M. Wijata, Tomasz Lakota, Marcin Cwiek, Bogdan Ruszczak, Michal Gumiela, Lukasz Tulczyjew, Andrzej Bartoszek, Nicolas Longépé, Krzysztof Smykala, Jakub Nalepa:
Intuition-1: Toward In-Orbit Bare Soil Detection Using Spectral Vegetation Indices. IGARSS 2024: 1708-1712
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Agata M. Wijata, Alicja Musial, Dawid Lazaj, Michal Gumiela, Mateusz Przeliorz, Jonas Weiss, Patricia Sagmeister, Thomas Morf, Martin L. Schmatz, Nicolas Longépé, Pierre-Philippe Mathieu, Jakub Nalepa:
Designing (Not Only) Lunar Space Data Centers. IGARSS 2024: 6104-6108
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Krzysztof Kotowski, Bartosz Machura, Damian Kucharski, Benjamín Gutiérrez-Becker, Agata Krason, Jean Tessier, Jakub Nalepa:
Automated Hepatocellular Carcinoma Analysis in Multi-phase CT with Deep Learning. CaPTion@MICCAI 2024: 93-103
[c113]
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Mariusz Bujny, Katarzyna Jesionek, Jakub Nalepa, Tomasz Bartczak, Karol Miszalski-Jamka, Marcin Kostur:
Seeing the Invisible: On Aortic Valve Reconstruction in Non-contrast CT. MICCAI (9) 2024: 572-581
2023
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Miroslaw Blocho, Tomasz Jastrzab, Jakub Nalepa:
Parallel Cooperative Memetic Co-evolution for VRPTW. GECCO Companion 2023: 53-54
[c111]
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Jakub Sadel, Michal Kawulok, Mateusz Przeliorz, Jakub Nalepa, Daniel Kostrzewa:
Genetic Structural NAS: A Neural Network Architecture Search with Flexible Slot Connections. GECCO Companion 2023: 79-80
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Rafal Dubel, Agata M. Wijata, Jakub Nalepa:
On the Impact of Noisy Labels on Supervised Classification Models. ICCS (2) 2023: 111-119
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Bogdan Ruszczak, Agata M. Wijata, Jakub Nalepa:
Estimating Chlorophyll Content from Hyperspectral Data Using Gradient Features. ICCS (2) 2023: 196-203
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Bogdan Ruszczak, Krzysztof Kotowski, Jacek Andrzejewski, Alicja Musial, David Evans, Vladimir Zelenevskiy, Sam Bammens, Rodrigo Laurinovics, Jakub Nalepa:
Machine Learning Detects Anomalies in OPS-SAT Telemetry. ICCS (1) 2023: 295-306
[c107]
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Jaroslaw Goslinski, Filip Malawski, Mariusz Bujny, Marcin Kostur, Karol Miszalski-Jamka, Jakub Nalepa:
Deep Learning Meets Particle Swarm Optimization For Aortic Valve Calcium Scoring From Cardiac Computed Tomography. ICIP 2023: 3469-3473
[c106]
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Agata M. Wijata, Jakub Nalepa:
Machine Learning Detects a Biopsy Needle in Ultrasound Images. ICIP 2023: 3548-3552
[c105]
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Artur Miroszewski, Jakub Mielczarek, Filip Szczepanek, Grzegorz Czelusta, Bartosz Grabowski, Bertrand Le Saux, Jakub Nalepa:
Optimizing Kernel-Target Alignment for Cloud Detection in Multispectral Satellite Images. IGARSS 2023: 792-795
[c104]
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Artur Miroszewski, Jakub Mielczarek, Filip Szczepanek, Grzegorz Czelusta, Bartosz Grabowski, Bertrand Le Saux, Jakub Nalepa:
Cloud Detection in Multispectral Satellite Images Using Support Vector Machines with Quantum Kernels. IGARSS 2023: 796-799
[c103]
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Michal Kawulok, Pawel Kowaleczko, Maciej Ziaja, Jakub Nalepa, Daniel Kostrzewa, Daniele Latini, Davide De Santis, Giorgia Salvucci, Ilaria Petracca, Valeria La Pegna, Zoltan Bartalis, Fabio Del Frate:
Understanding the Value of Hyperspectral Image Super-Resolution from Prisma Data. IGARSS 2023: 1489-1492
[c102]
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Maciej Ziaja, Pawel Kowaleczko, Jakub Nalepa, Daniel Kostrzewa, Daniele Latini, Davide De Santis, Giorgia Salvucci, Ilaria Petracca, Valeria La Pegna, Fabio Del Frate, Michal Kawulok:
Hyperspectral Image Pansharpening: The Prisma Case Study. IGARSS 2023: 1633-1636
[c101]
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Piotr Bosowski, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa:
Knowledge Distillation for Memory-Efficient On-Board Image Classification of Mars Imagery. IGARSS 2023: 2018-2021
[c100]
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Michal Gumiela, Alicja Musial, Agata M. Wijata, Dawid Lazaj, Jonas Weiss, Patricia Sagmeister, Thomas Morf, Martin L. Schmatz, Jakub Nalepa:
Benchmarking Space-Based Data Center Architectures. IGARSS 2023: 4970-4973
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Agata M. Wijata, Michel-François Foulon, Yves Bobichon, Nicolas Longépé, Roberto Camarero, Raffaele Vitulli, Marco Celesti, Gianluigi Di Cosimo, Ferran Gascon, Jens Nieke, Jakub Nalepa:
Toward On-Board Methane Detection in Hyperspectral Images. IGARSS 2023: 5866-5869
[c98]
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Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa:
Unbiased Validation of Hyperspectral Unmixing Algorithms. IGARSS 2023: 7344-7347
2022
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Jakub Nalepa, Piotr Bosowski, Wojciech Dudzik, Michal Kawulok:
Fusing Deep Learning with Support Vector Machines to Detect COVID-19 in X-Ray Images. ACIIDS (Companion) 2022: 340-353
[c96]
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Krzysztof Kotowski, Bartosz Machura, Jakub Nalepa:
Robustifying Automatic Assessment of Brain Tumor Progression from MRI. BrainLes@MICCAI 2022: 90-101
[c95]
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Krzysztof Kotowski, Szymon Adamski, Bartosz Machura, Lukasz Zarudzki, Jakub Nalepa:
Infusing Domain Knowledge into nnU-Nets for Segmenting Brain Tumors in MRI. BrainLes@MICCAI 2022: 186-194
[c94]
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Krzysztof Kotowski, Szymon Adamski, Bartosz Machura, Wojciech Malara, Lukasz Zarudzki, Jakub Nalepa:
Federated Evaluation of nnU-Nets Enhanced with Domain Knowledge for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2022: 218-227
[c93]
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Jakub Nalepa, Stanislaw Czembor, Wojciech Dudzik, Michal Kawulok:
Evolutionary algorithms meet classical and deep machine learning for skin detection in color images. GECCO Companion 2022: 67-68
[c92]
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Miroslaw Blocho, Tomasz Jastrzab, Jakub Nalepa:
Cooperative co-evolutionary memetic algorithm for pickup and delivery problem with time windows. GECCO Companion 2022: 176-179
[c91]
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Wojciech Dudzik, Jakub Nalepa, Michal Kawulok:
Cascades of evolutionary support vector machines. GECCO Companion 2022: 240-243
[c90]
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Tomasz Jastrzab, Michal Myller, Lukasz Tulczyjew, Miroslaw Blocho, Wojciech Ryczko, Michal Kawulok, Jakub Nalepa:
Particle Swarm Optimization Configures the Route Minimization Algorithm. ICCS (1) 2022: 80-87
[c89]
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Wojciech Ponikiewski, Jakub Nalepa:
Deep Learning Meets Radiomics For End-To-End Brain Tumor MRI Analysis. ICIP 2022: 1301-1305
[c88]
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Agata M. Wijata, Jakub Nalepa:
Unbiased Validation of the Algorithms for Automatic Needle Localization in Ultrasound-Guided Breast Biopsies. ICIP 2022: 3571-3575
[c87]
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Jakub Nalepa, Bertrand Le Saux, Nicolas Longépé, Lukasz Tulczyjew, Michal Myller, Michal Kawulok, Krzysztof Smykala, Michal Gumiela:
The Hyperview Challenge: Estimating Soil Parameters from Hyperspectral Images. ICIP 2022: 4268-4272
[c86]
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Maciej Ziaja, Jakub Nalepa, Michal Kawulok:
Data Augmentation for Multi-Image Super-Resolution. IGARSS 2022: 119-122
[c85]
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Tomasz Tarasiewicz, Lukasz Tulczyjew, Michal Myller, Michal Kawulok, Nicolas Longépé, Jakub Nalepa:
Extracting High-Resolution Cultivated Land Maps from Sentinel-2 Image Series. IGARSS 2022: 175-178
[c84]
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Bartosz Grabowski, Maciej Ziaja, Michal Kawulok, Marcin Cwiek, Tomasz Lakota, Nicolas Longépé, Jakub Nalepa:
Are Cloud Detection U-Nets Robust Against in-Orbit Image Acquisition Conditions? IGARSS 2022: 239-242
[c83]
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Tomasz Tarasiewicz, Jakub Nalepa, Michal Kawulok:
Semi-Simulated Training Data for Multi-Image Super-Resolution. IGARSS 2022: 481-484
[c82]
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Filip Malawski, Jaroslaw Goslinski, Mikolaj Stryja, Katarzyna Jesionek, Marcin Kostur, Karol Miszalski-Jamka, Jakub Nalepa:
Deep Learning Meets Computational Fluid Dynamics to Assess CAD in CCTA. AMAI@MICCAI 2022: 8-17
2021
[c81]
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Krzysztof Kotowski, Szymon Adamski, Bartosz Machura, Lukasz Zarudzki, Jakub Nalepa:
Coupling nnU-Nets with Expert Knowledge for Accurate Brain Tumor Segmentation from MRI. BrainLes@MICCAI (2) 2021: 197-209
[c80]
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Pawel Benecki, Szymon Piechaczek, Daniel Kostrzewa, Jakub Nalepa:
Detecting anomalies in spacecraft telemetry using evolutionary thresholding and LSTMs. GECCO Companion 2021: 143-144
[c79]
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Tomasz Tarasiewicz, Jakub Nalepa, Michal Kawulok:
A Graph Neural Network For Multiple-Image Super-Resolution. ICIP 2021: 1824-1828
[c78]
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Piotr Bosowski, Joanna Bosowska, Jakub Nalepa:
Evolving Deep Ensembles For Detecting Covid-19 In Chest X-Rays. ICIP 2021: 3772-3776
[c77]
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Lukasz Tulczyjew, Jakub Nalepa:
Investigating the Impact of the Training Set Size on Deep Learning-Powered Hyperspectral Unmixing. IGARSS 2021: 2024-2027
[c76]
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Michal Kawulok, Tomasz Tarasiewicz, Jakub Nalepa, Diana Tyrna, Daniel Kostrzewa:
Deep Learning for Multiple-Image Super-Resolution of Sentinel-2 Data. IGARSS 2021: 3885-3888
[c75]
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Bartosz Grabowski, Maciej Ziaja, Michal Kawulok, Jakub Nalepa:
Towards Robust Cloud Detection in Satellite Images Using U-Nets. IGARSS 2021: 4099-4102
2020
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Tomasz Tarasiewicz, Michal Kawulok, Jakub Nalepa:
Lightweight U-Nets for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2020: 3-14
[c73]
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Krzysztof Kotowski, Szymon Adamski, Wojciech Malara, Bartosz Machura, Lukasz Zarudzki, Jakub Nalepa:
Segmenting Brain Tumors from MRI Using Cascaded 3D U-Nets. BrainLes@MICCAI (2) 2020: 265-277
[c72]
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Tomasz Tarasiewicz, Jakub Nalepa, Michal Kawulok:
Skinny: A Lightweight U-Net For Skin Detection And Segmentation. ICIP 2020: 2386-2390
[c71]
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Jakub Nalepa, Wojciech Dudzik, Michal Kawulok:
Memetic Evolution of Training Sets with Adaptive Radial Basis Kernels for Support Vector Machines. ICPR 2020: 5503-5510
[c70]
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Michal Kawulok, Pawel Benecki, Jakub Nalepa, Daniel Kostrzewa:
Evaluating Super-Resolution of Satellite Images: A Proba-V Case Study. IGARSS 2020: 641-644
[c69]
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Jakub Nalepa, Lukasz Tulczyjew, Michal Myller, Michal Kawulok:
Hyperspectral Image Classification Using Spectral-Spatial Convolutional Neural Networks. IGARSS 2020: 866-869
[c68]
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Jakub Nalepa, Marek Stanek:
Segmenting Hyperspectral Images Using Spectral Convolutional Neural Networks in the Presence of Noise. IGARSS 2020: 870-873
[c67]
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Michal Myller, Michal Kawulok, Jakub Nalepa:
Selecting Features from Time Series Using Attention-Based Recurrent Neural Networks. S+SSPR 2020: 87-97
[c66]
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Jakub Nalepa, Krzysztof Hrynczenko, Michal Kawulok:
Multiple-Image Super-Resolution Using Deep Learning and Statistical Features. S+SSPR 2020: 261-271
2019
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Daniel Kostrzewa, Szymon Piechaczek, Krzysztof Hrynczenko, Pawel Benecki, Jakub Nalepa, Michal Kawulok:
Super-Resolution Reconstruction Using Deep Learning: Should We Go Deeper? BDAS 2019: 204-216
[c64]
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Pablo Ribalta Lorenzo, Michal Marcinkiewicz, Jakub Nalepa:
Multi-modal U-Nets with Boundary Loss and Pre-training for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2019: 135-147
[c63]
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Krzysztof Kotowski, Jakub Nalepa, Wojciech Dudzik:
Detection and Segmentation of Brain Tumors from MRI Using U-Nets. BrainLes@MICCAI (2) 2019: 179-190
[c62]
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Aleksandra Kardas, Michal Kawulok, Jakub Nalepa:
On Evolutionary Classification Ensembles. CEC 2019: 2974-2981
[c61]
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Szymon Piechaczek, Michal Kawulok, Jakub Nalepa:
Memetic Evolution of Classification Ensembles. EvoApplications 2019: 299-307
[c60]
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Wojciech Dudzik, Michal Kawulok, Jakub Nalepa:
Evolutionarily-tuned support vector machines. GECCO (Companion) 2019: 165-166
[c59]
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Jakub Nalepa, Marcin Cwiek, Wojciech Dudzik, Michal Kawulok, Michael P. Hayball, Grzegorz Mrukwa, Szymon Piechaczek, Pablo Ribalta Lorenzo, Michal Marcinkiewicz, Barbara Bobek-Billewicz, Pawel Wawrzyniak, Pawel Ulrych, Janusz Szymanek:
Data Augmentation via Image Registration. ICIP 2019: 4250-4254
[c58]
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Wojciech Dudzik, Michal Kawulok, Jakub Nalepa:
Optimizing Training Data and Hyperparameters of Support Vector Machines Using a Memetic Algorithm. ICMMI 2019: 229-238
[c57]
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Michal Kawulok, Szymon Piechaczek, Krzysztof Hrynczenko, Pawel Benecki, Daniel Kostrzewa, Jakub Nalepa:
On Training Deep Networks for Satellite Image Super-Resolution. IGARSS 2019: 3125-3128
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Michal Marcinkiewicz, Michal Kawulok, Jakub Nalepa:
Segmentation of Multispectral Data Simulated from Hyperspectral Imagery. IGARSS 2019: 3336-3339
2018
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Michal Kawulok, Pawel Benecki, Jakub Nalepa, Daniel Kostrzewa, Lukasz Skonieczny:
Towards Robust Evaluation of Super-Resolution Satellite Image Reconstruction. ACIIDS (1) 2018: 476-486
[c54]
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Jakub Nalepa, Michal Myller, Szymon Piechaczek, Krzysztof Hrynczenko, Michal Kawulok:
Genetic Selection of Training Sets for (Not Only) Artificial Neural Networks. BDAS 2018: 194-206
[c53]
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Pablo Ribalta Lorenzo, Michal Marcinkiewicz, Jakub Nalepa:
Segmentation of Hyperspectral Images Using Quantized Convolutional Neural Networks. DSD 2018: 260-267
[c52]
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Jakub Nalepa, Grzegorz Mrukwa, Michal Kawulok:
Evolvable Deep Features. EvoApplications 2018: 497-505
[c51]
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Jakub Nalepa, Miroslaw Blocho:
Parameter-less (meta)heuristics for vehicle routing problems. GECCO (Companion) 2018: 27-28
[c50]
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Krzysztof Pawelczyk, Michal Kawulok, Jakub Nalepa:
Genetically-trained deep neural networks. GECCO (Companion) 2018: 63-64
[c49]
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Pablo Ribalta Lorenzo, Jakub Nalepa:
Memetic evolution of deep neural networks. GECCO 2018: 505-512
[c48]
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Jakub Nalepa, Michael P. Hayball, Stephen J. Brown, Michal Kawulok, Janusz Szymanek:
Extracting Biomarkers from Dynamic Images - Approaches and Challenges. ICPRAM 2018: 520-525
[c47]
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Jakub Nalepa, Piotr Mokry, Janusz Szymanek, Michael P. Hayball:
Transferring Information Across Medical Images of Different Modalities. ICPRAM 2018: 526-533
[c46]
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Wojciech Dudzik, Jakub Nalepa, Michal Kawulok:
Automated Optimization of Non-linear Support Vector Machines for Binary Classification. INCoS 2018: 504-513
[c45]
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Jakub Nalepa, Szymon Piechaczek, Michal Myller, Krzysztof Hrynczenko:
Multi-scale Voting Classifiers for Breast-Cancer Histology Images. INCoS 2018: 526-534
[c44]
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Michal Marcinkiewicz, Jakub Nalepa, Pablo Ribalta Lorenzo, Wojciech Dudzik, Grzegorz Mrukwa:
Segmenting Brain Tumors from MRI Using Cascaded Multi-modal U-Nets. BrainLes@MICCAI (2) 2018: 13-24
2017
[c43]
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Jakub Nalepa, Pablo Ribalta Lorenzo:
Convergence Analysis of PSO for Hyper-Parameter Selection in Deep Neural Networks. 3PGCIC 2017: 284-295
[c42]
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Marcin Cwiek, Jakub Nalepa:
Spatial Planning as a Hexomino Puzzle. ACIIDS (1) 2017: 410-420
[c41]
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Maksym Walczak, Izabela Burda, Jakub Nalepa, Michal Kawulok:
Segmenting Lungs from Whole-Body CT Scans. BDAS 2017: 403-414
[c40]
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Pablo Ribalta Lorenzo, Jakub Nalepa, Luciano Sánchez Ramos, José Ranilla Pastor:
Hands-Free Research Workflow. EASE 2017: 70-73
[c39]
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Miroslaw Blocho, Jakub Nalepa:
LCS-Based Selective Route Exchange Crossover for the Pickup and Delivery Problem with Time Windows. EvoCOP 2017: 124-140
[c38]
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Pablo Ribalta Lorenzo, Jakub Nalepa, Michal Kawulok, Luciano Sánchez Ramos, José Ranilla Pastor:
Particle swarm optimization for hyper-parameter selection in deep neural networks. GECCO 2017: 481-488
[c37]
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Pablo Ribalta Lorenzo, Jakub Nalepa, Luciano Sánchez Ramos, José Ranilla Pastor:
Hyper-parameter selection in deep neural networks using parallel particle swarm optimization. GECCO (Companion) 2017: 1864-1871
[c36]
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Krzysztof Pawelczyk, Michal Kawulok, Jakub Nalepa, Michael P. Hayball, Sarah J. McQuaid, Vineet Prakash, Balaji Ganeshan:
Towards Detecting High-Uptake Lesions from Lung CT Scans Using Deep Learning. ICIAP (2) 2017: 310-320
[c35]
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Jakub Nalepa, Michal Kawulok, Wojciech Dudzik:
Tuning and Evolving Support Vector Machine Models. ICMMI 2017: 418-428
[c34]
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Miroslaw Blocho, Jakub Nalepa:
Complexity Analysis of the Parallel Memetic Algorithm for the Pickup and Delivery Problem with Time Windows. ICMMI 2017: 471-480
[c33]
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Jakub Nalepa, Marcin Cwiek, Lukasz Zak:
Behind the Scenes of Deadline24: A Memetic Algorithm for the Modified Job Shop Scheduling Problem. ICMMI 2017: 502-512
[c32]
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Michal Kawulok, Jakub Nalepa, Wojciech Dudzik:
An Alternating Genetic Algorithm for Selecting SVM Model and Training Set. MCPR 2017: 94-104
[c31]
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Jakub Nalepa, Miroslaw Blocho:
A Parallel Memetic Algorithm for the Pickup and Delivery Problem with Time Windows. PDP 2017: 1-8
2016
[c30]
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Jakub Nalepa, Miroslaw Blocho:
Temporally Adaptive Co-operation Schemes. 3PGCIC 2016: 145-156
[c29]
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Jakub Nalepa, Miroslaw Blocho:
Enhanced Guided Ejection Search for the Pickup and Delivery Problem with Time Windows. ACIIDS (1) 2016: 388-398
[c28]
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Marcin Cwiek, Jakub Nalepa, Marcin Dublanski:
How to Generate Benchmarks for Rich Routing Problems? ACIIDS (1) 2016: 399-409
[c27]
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Maciej Papiez, Michal Kawulok, Jakub Nalepa:
Manifold Learning for Hand Pose Recognition: Evaluation Framework. BDAS 2016: 704-715
[c26]
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Jakub Nalepa, Miroslaw Blocho:
Is Your Parallel Algorithm Correct? FedCSIS (Position Papers) 2016: 87-93
[c25]
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Jakub Nalepa, Michal Kawulok:
The Smaller, the Better: Selecting Refined SVM Training Sets Using Adaptive Memetic Algorithm. GECCO (Companion) 2016: 165-166
[c24]
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Michal Kawulok, Jakub Nalepa, Karolina Nurzynska, Bogdan Smolka:
In Search of Truth: Analysis of Smile Intensity Dynamics to Detect Deception. IBERAMIA 2016: 325-337
2015
[c23]
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Jakub Nalepa, Miroslaw Blocho:
A Parallel Algorithm with the Search Space Partition for the Pickup and Delivery with Time Windows. 3PGCIC 2015: 92-99
[c22]
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Jakub Nalepa, Krzysztof Siminski, Michal Kawulok:
Towards parameter-less support vector machines. ACPR 2015: 211-215
[c21]
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Michal Kawulok, Jakub Nalepa:
Towards robust SVM training from weakly labeled large data sets. ACPR 2015: 464-468
[c20]
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Miroslaw Blocho, Jakub Nalepa:
Impact of Parallel Memetic Algorithm Parameters on Its Efficacy. BDAS 2015: 299-308
[c19]
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Jakub Nalepa, Janusz Szymanek, Michal Kawulok:
Real-Time People Counting from Depth Images. BDAS 2015: 387-397
[c18]
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Jakub Nalepa, Marcin Cwiek, Michal Kawulok:
Adaptive memetic algorithm for the job shop scheduling problem. IJCNN 2015: 1-8
[c17]
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Miroslaw Blocho, Jakub Nalepa:
A Parallel Algorithm for Minimizing the Fleet Size in the Pickup and Delivery Problem with Time Windows. EuroMPI 2015: 15:1-15:2
2014
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Jakub Nalepa, Michal Kawulok:
Fast and Accurate Hand Shape Classification. BDAS 2014: 364-373
[c15]
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Michal Kawulok, Jolanta Kawulok, Jakub Nalepa, Bogdan Smolka:
Self-Adaptive Skin Segmentation in Color Images. CIARP 2014: 96-103
[c14]
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Jakub Nalepa, Michal Kawulok:
Adaptive Genetic Algorithm to Select Training Data for Support Vector Machines. EvoApplications 2014: 514-525
[c13]
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Jakub Nalepa, Michal Kawulok:
A memetic algorithm to select training data for support vector machines. GECCO 2014: 573-580
[c12]
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Marcin Cwiek, Jakub Nalepa:
A fast genetic algorithm for the flexible job shop scheduling problem. GECCO (Companion) 2014: 1449-1450
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Jakub Nalepa:
Adaptive memetic algorithm for the vehicle routing problem with time windows. GECCO (Companion) 2014: 1467-1468
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Michal Kawulok, Jakub Nalepa:
Dynamically Adaptive Genetic Algorithm to Select Training Data for SVMs. IBERAMIA 2014: 242-254
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Jakub Nalepa, Janusz Szymanek, Michael P. Hayball, Stephen J. Brown, Balaji Ganeshan, Kenneth Miles:
Texture Analysis for Identifying Heterogeneity in Medical Images. ICCVG 2014: 446-453
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Michal Kawulok, Jakub Nalepa:
Hand pose estimation using support vector machines with evolutionary training. IWSSIP 2014: 87-90
2013
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Tomasz Grzejszczak, Jakub Nalepa, Michal Kawulok:
Real-Time Wrist Localization in Hand Silhouettes. CORES 2013: 439-449
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Jakub Nalepa, Zbigniew J. Czech:
New Selection Schemes in a Memetic Algorithm for the Vehicle Routing Problem with Time Windows. ICANNGA 2013: 396-405
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Michal Kawulok, Jolanta Kawulok, Jakub Nalepa, Maciej Papiez:
Skin detection using spatial analysis with adaptive seed. ICIP 2013: 3720-3724
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Jakub Nalepa, Tomasz Grzejszczak, Michal Kawulok:
Wrist Localization in Color Images for Hand Gesture Recognition. ICMMI 2013: 79-86
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Jakub Nalepa, Michal Kawulok:
Parallel Hand Shape Classification. ISM 2013: 401-402
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Jakub Nalepa, Miroslaw Blocho, Zbigniew J. Czech:
Co-operation Schemes for the Parallel Memetic Algorithm. PPAM (1) 2013: 191-201
2012
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Michal Kawulok, Jakub Nalepa:
Support Vector Machines Training Data Selection Using a Genetic Algorithm. SSPR/SPR 2012: 557-565

Data and Artifacts

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What is the meaning of the colors in the publication lists?

2023
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Mariusz Bujny, Katarzyna Jesionek, Jakub Nalepa, Karol Miszalski-Jamka, Katarzyna Widawka-Zak, Sabina Wolny, Marcin Kostur:
Data from: Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning. Zenodo, 2023

Informal and Other Publications

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2024
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Mariusz Bujny, Katarzyna Jesionek, Jakub Nalepa, Karol Miszalski-Jamka, Katarzyna Widawka-Zak, Sabina Wolny, Marcin Kostur:
Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning. CoRR abs/2403.02544 (2024)
[i28]
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Vladimir Zaigrajew, Hubert Baniecki, Lukasz Tulczyjew, Agata M. Wijata, Jakub Nalepa, Nicolas Longépé, Przemyslaw Biecek:
Red Teaming Models for Hyperspectral Image Analysis Using Explainable AI. CoRR abs/2403.08017 (2024)
[i27]
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  - journals/corr/abs-2406-17826
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Krzysztof Kotowski, Christoph Haskamp, Jacek Andrzejewski, Bogdan Ruszczak, Jakub Nalepa, Daniel Lakey, Peter Collins, Aybike Kolmas, Mauro Bartesaghi, Jose Martinez-Heras, Gabriele De Canio:
European Space Agency Benchmark for Anomaly Detection in Satellite Telemetry. CoRR abs/2406.17826 (2024)
[i26]
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Bogdan Ruszczak, Krzysztof Kotowski, David Evans, Jakub Nalepa:
The OPS-SAT benchmark for detecting anomalies in satellite telemetry. CoRR abs/2407.04730 (2024)
[i25]
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Artur Miroszewski, Marco Fellous Asiani, Jakub Mielczarek, Bertrand Le Saux, Jakub Nalepa:
In Search of Quantum Advantage: Estimating the Number of Shots in Quantum Kernel Methods. CoRR abs/2407.15776 (2024)
2023
[i24]
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Tomasz Tarasiewicz, Jakub Nalepa, Reuben A. Farrugia, Gianluca Valentino, Mang Chen, Johann A. Briffa, Michal Kawulok:
Multitemporal and multispectral data fusion for super-resolution of Sentinel-2 images. CoRR abs/2301.11154 (2023)
[i23]
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Artur Miroszewski, Jakub Mielczarek, Grzegorz Czelusta, Filip Szczepanek, Bartosz Grabowski, Bertrand Le Saux, Jakub Nalepa:
Detecting Clouds in Multispectral Satellite Images Using Quantum-Kernel Support Vector Machines. CoRR abs/2302.08270 (2023)
[i22]
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Maria Ferlin, Sylwia Majchrowska, Marta A. Plantykow, Alicja Kwasniwska, Agnieszka Mikolajczyk-Barela, Milena Olech, Jakub Nalepa:
On the Importance of Sign Labeling: The Hamburg Sign Language Notation System Case Study. CoRR abs/2302.10768 (2023)
[i21]
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  - journals/corr/abs-2306-09886
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Bartosz Grabowski, Maciej Ziaja, Michal Kawulok, Piotr Bosowski, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa:
Squeezing nnU-Nets with Knowledge Distillation for On-Board Cloud Detection. CoRR abs/2306.09886 (2023)
[i20]
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Artur Miroszewski, Jakub Mielczarek, Filip Szczepanek, Grzegorz Czelusta, Bartosz Grabowski, Bertrand Le Saux, Jakub Nalepa:
Optimizing Kernel-Target Alignment for cloud detection in multispectral satellite images. CoRR abs/2306.14515 (2023)
[i19]
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  - journals/corr/abs-2307-07281
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Artur Miroszewski, Jakub Mielczarek, Filip Szczepanek, Grzegorz Czelusta, Bartosz Grabowski, Bertrand Le Saux, Jakub Nalepa:
Cloud Detection in Multispectral Satellite Images Using Support Vector Machines With Quantum Kernels. CoRR abs/2307.07281 (2023)
[i18]
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Artur Miroszewski, Jakub Nalepa, Bertrand Le Saux, Jakub Mielczarek:
Quantum Machine Learning for Remote Sensing: Exploring potential and challenges. CoRR abs/2311.07626 (2023)
2022
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Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa:
Graph Neural Networks Extract High-Resolution Cultivated Land Maps from Sentinel-2 Image Series. CoRR abs/2208.02349 (2022)
[i16]
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Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa:
A Multibranch Convolutional Neural Network for Hyperspectral Unmixing. CoRR abs/2208.02361 (2022)
[i15]
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Jakub Nalepa, Krzysztof Kotowski, Bartosz Machura, Szymon Adamski, Oskar Bozek, Bartosz Eksner, Bartosz Kokoszka, Tomasz Pekala, Mateusz Radom, Marek Strzelczak, Lukasz Zarudzki, Agata Krason, Filippo Arcadu, Jean Tessier:
Deep learning automates bidimensional and volumetric tumor burden measurement from MRI in pre- and post-operative glioblastoma patients. CoRR abs/2209.01402 (2022)
[i14]
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Pawel Kowaleczko, Tomasz Tarasiewicz, Maciej Ziaja, Daniel Kostrzewa, Jakub Nalepa, Przemyslaw Rokita, Michal Kawulok:
MuS2: A Benchmark for Sentinel-2 Multi-Image Super-Resolution. CoRR abs/2210.02745 (2022)
[i13]
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  - journals/corr/abs-2210-13659
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Bartosz Grabowski, Maciej Ziaja, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa:
Self-Configuring nnU-Nets Detect Clouds in Satellite Images. CoRR abs/2210.13659 (2022)
2019
[i12]
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Michal Kawulok, Pawel Benecki, Szymon Piechaczek, Krzysztof Hrynczenko, Daniel Kostrzewa, Jakub Nalepa:
Deep Learning for Multiple-Image Super-Resolution. CoRR abs/1903.00440 (2019)
[i11]
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Jakub Nalepa, Michal Myller, Michal Kawulok:
Hyperspectral Data Augmentation. CoRR abs/1903.05580 (2019)
[i10]
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  - journals/corr/abs-1906-06697
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Michal Kawulok, Szymon Piechaczek, Krzysztof Hrynczenko, Pawel Benecki, Daniel Kostrzewa, Jakub Nalepa:
On training deep networks for satellite image super-resolution. CoRR abs/1906.06697 (2019)
[i9]
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Jakub Nalepa, Michal Myller, Michal Kawulok:
Transfer Learning for Segmenting Dimensionally-Reduced Hyperspectral Images. CoRR abs/1906.09631 (2019)
[i8]
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Jakub Nalepa, Pablo Ribalta Lorenzo, Michal Marcinkiewicz, Barbara Bobek-Billewicz, Pawel Wawrzyniak, Maksym Walczak, Michal Kawulok, Wojciech Dudzik, Grzegorz Mrukwa, Pawel Ulrych, Michael P. Hayball:
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors. CoRR abs/1907.08303 (2019)
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Jakub Nalepa, Michal Myller, Yasuteru Imai, Ken-ichi Honda, Tomomi Takeda, Marek Antoniak:
Unsupervised Segmentation of Hyperspectral Images Using 3D Convolutional Autoencoders. CoRR abs/1907.08870 (2019)
[i6]
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  - journals/corr/abs-1907-11935
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Jakub Nalepa, Lukasz Tulczyjew, Michal Myller, Michal Kawulok:
Segmenting Hyperspectral Images Using Spectral-Spatial Convolutional Neural Networks With Training-Time Data Augmentation. CoRR abs/1907.11935 (2019)
2018
[i5]
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  - journals/corr/abs-1811-02667
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Pablo Ribalta Lorenzo, Lukasz Tulczyjew, Michal Marcinkiewicz, Jakub Nalepa:
Band Selection from Hyperspectral Images Using Attention-based Convolutional Neural Networks. CoRR abs/1811.02667 (2018)
[i4]
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Jakub Nalepa, Michal Myller, Michal Kawulok:
Validating Hyperspectral Image Segmentation. CoRR abs/1811.03707 (2018)
2017
[i3]
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Miroslaw Blocho, Jakub Nalepa:
Complexity Analysis of the Parallel Guided Ejection Search for the Pickup and Delivery Problem with Time Windows. CoRR abs/1704.06724 (2017)
2014
[i2]
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Jakub Nalepa, Michal Kawulok:
Real-Time Hand Shape Classification. CoRR abs/1402.2673 (2014)
[i1]
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Jakub Nalepa, Zbigniew J. Czech:
A Parallel Memetic Algorithm to Solve the Vehicle Routing Problem with Time Windows. CoRR abs/1402.6942 (2014)

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