Jakub Nalepa - RankMe

214 papers A 6B 19C 35Misc 1Journal 82Unranked 71

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning. Comput. Biol. Medicine Mariusz Bujny, Katarzyna Jesionek, Jakub Nalepa, Karol Miszalski-Jamka, Katarzyna Widawka-Zak, Sabina Wolny, Marcin Kostur
2026	J	`jnl`	Trojan horse hunt in deep forecasting models: Insights from the European Space Agency competition. CoRR Krzysztof Kotowski, Ramez Shendy, Jakub Nalepa, Agata Kaczmarek, Dawid Pludowski, Piotr Wilczynski, Artur Janicki, Przemyslaw Biecek, Ambros Marzetta, Atul Pande, Lalit Chandra Routhu, Swapnil Srivastava, Evridiki Vasileia Ntagiou
2025	J	`jnl`	Artificial intelligence and digital twins for the personalised prediction of hypertension risk. Comput. Biol. Medicine Akhil Naik, Jakub Nalepa, Agata M. Wijata, Joseph Mahon, Dharmesh Mistry, Adam T. Knowles, Ellen A. Dawson, Gregory Yoke Hong Lip, Iván Olier, Sandra Ortega-Martorell
2025	J	`jnl`	Enhancing Coronary Artery Calcium Scoring via Multi-Organ Segmentation on Non-Contrast Cardiac Computed Tomography. CoRR Jakub Nalepa, Tomasz Bartczak, Mariusz Bujny, Jaroslaw Goslinski, Katarzyna Jesionek, Wojciech Malara, Filip Malawski, Karol Miszalski-Jamka, Patrycja Rewa, Marcin Kostur
2025	J	`jnl`	Fake or Real: The Impostor Hunt in Texts for Space Operations. CoRR Agata Kaczmarek, Dawid Pludowski, Piotr Wilczynski, Krzysztof Kotowski, Ramez Shendy, Evridiki Vasileia Ntagiou, Jakub Nalepa, Artur Janicki, Przemyslaw Biecek
2025	—	`conf`	Genetic Feature Selection for Multimodal Wound Detection. GECCO Companion Agata M. Wijata, Maria J. Bienkowska, Michal Witold Przewozniczek, Jakub Nalepa
2025	J	`jnl`	Identifying wagon numbers using transformers. Eng. Appl. Artif. Intell. Bartlomiej Gladys, Bartlomiej Wojakowicz, Michal Bober, Jakub Nalepa
2025	J	`jnl`	Interpretable arrhythmia detection in ECG scans using deep learning ensembles: a genetic programming approach. npj Digit. Medicine Arkadiusz Czerwinski, Damian Kucharski, Agata M. Wijata, Hanadi Aldosari, Frans Coenen, Dhiraj Gupta, Lu Fu, Weidong Lin, Yumei Xue, Jacek Kawa, Yalin Zheng, Gregory Yoke Hong Lip, Jakub Nalepa
2025	—	`conf`	Machine Learning and Genetic Algorithms: An Intricate Relationship for Locating Methane in Satellite Images. GECCO Companion Agata M. Wijata, Nicolas Longépé, Michal Witold Przewozniczek, Jakub Nalepa
2025	J	`jnl`	Monitoring Forest Changes With Foundation Models and Sentinel-2 Time Series. IEEE Geosci. Remote. Sens. Lett. Jakub Sadel, Lukasz Tulczyjew, Agata M. Wijata, Mateusz Przeliorz, Jakub Nalepa
2025	A	`conf`	On Revealing the Hidden Problem Structure in Real-World and Theoretical Problems Using Walsh Coefficient Influence. GECCO Michal Witold Przewozniczek, Francisco Chicano, Renato Tinós, Jakub Nalepa, Bogdan Ruszczak, Agata Wijata
2025	J	`jnl`	On Revealing the Hidden Problem Structure in Real-World and Theoretical Problems Using Walsh Coefficient Influence. CoRR Michal Przewozniczek, Francisco Chicano, Renato Tinós, Jakub Nalepa, Bogdan Ruszczak, Agata M. Wijata
2025	—	`conf`	Segmentation of Pre and Post-treatment Brain Metastases Using nnU-Nets. BraTS-Lighthouse/AIMS-TBI@MICCAI (1) Maria Bancerek, Piotr Rudzki, Jakub Nalepa
2025	—	`conf`	Single- and Multi-Objective Genetic Optimization of Hyperspectral Image Pre-Processing. GECCO Companion Bogdan Ruszczak, Sabina Kubiciel-Lodzinska, Katarzyna Rudnik, Zineb Bougriche, Agata M. Wijata, Jakub Nalepa
2025	J	`jnl`	Trojan Horse Hunt in Time Series Forecasting for Space Operations. CoRR Krzysztof Kotowski, Ramez Shendy, Jakub Nalepa, Przemyslaw Biecek, Piotr Wilczynski, Agata Kaczmarek, Dawid Pludowski, Artur Janicki, Evridiki Vasileia Ntagiou
2024	B	`conf`	A Needle In A (Medical) Haystack: Detecting A Biopsy Needle In Ultrasound Images Using Vision Transformers. ICIP Agata M. Wijata, Bartlomiej Pycinski, Jakub Nalepa
2024	—	`conf`	Automated Hepatocellular Carcinoma Analysis in Multi-phase CT with Deep Learning. CaPTion@MICCAI Krzysztof Kotowski, Bartosz Machura, Damian Kucharski, Benjamín Gutiérrez-Becker, Agata Krason, Jean Tessier, Jakub Nalepa
2024	A	`conf`	CANNIBAL Unveils the Hidden Gems: Hyperspectral Band Selection via Clustering of Weighted Variable Interaction Graphs. GECCO Lukasz Tulczyjew, Michal Przewozniczek, Renato Tinós, Agata M. Wijata, Jakub Nalepa
2024	C	`conf`	Convolutional neural networks estimate root-zone soil moisture from hyperspectral images. VCIP Lukasz Tulczyjew, Bogdan Ruszczak, Michal Myller, Agata M. Wijata, Dominika Boguszewska-Mankowska, Jakub Nalepa
2024	J	`jnl`	Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning. CoRR Mariusz Bujny, Katarzyna Jesionek, Jakub Nalepa, Karol Miszalski-Jamka, Katarzyna Widawka-Zak, Sabina Wolny, Marcin Kostur
2024	J	`jnl`	Deep learning ensembles for detecting brain metastases in longitudinal multi-modal MRI studies. Comput. Medical Imaging Graph. 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
2024	C	`conf`	Designing (Not Only) Lunar Space Data Centers. IGARSS 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
2024	C	`conf`	Detection of Bare Soil in Hyperspectral Images Using Quantum-Kernel Support Vector Machines. IGARSS Agata M. Wijata, Artur Miroszewski, Bertrand Le Saux, Nicolas Longépé, Bogdan Ruszczak, Jakub Nalepa
2024	J	`jnl`	End-to-end deep learning pipeline for on-board extraterrestrial rock segmentation. Eng. Appl. Artif. Intell. Daniel Marek, Jakub Nalepa
2024	J	`jnl`	Ensembles of evolutionarily-constructed support vector machine cascades. Knowl. Based Syst. Wojciech Dudzik, Jakub Nalepa, Michal Kawulok
2024	C	`conf`	Estimating Soil Parameters from Hyperspectral Imagesusing Ensembles of Classic and Deep Machine Learning Models. IGARSS Wiktor Gacek, Lukasz Tulczyjew, Agata M. Wijata, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
2024	J	`jnl`	European Space Agency Benchmark for Anomaly Detection in Satellite Telemetry. CoRR Krzysztof Kotowski, Christoph Haskamp, Jacek Andrzejewski, Bogdan Ruszczak, Jakub Nalepa, Daniel Lakey, Peter Collins, Aybike Kolmas, Mauro Bartesaghi, Jose Martinez-Heras, Gabriele De Canio
2024	J	`jnl`	Few-shot satellite image classification for bringing deep learning on board OPS-SAT. Expert Syst. Appl. Ramez Shendy, Jakub Nalepa
2024	B	`conf`	Giraffe: A Genetic Programming Algorithm To Build Deep Learning Ensembles For Ecg Arrhythmia Classification. ICIP Damian Kucharski, Agata M. Wijata, Lu Fu, Weidong Lin, Yumei Xue, Jacek Kawa, Yalin Zheng, Gregory Yoke Hong Lip, Jakub Nalepa
2024	J	`jnl`	Hyperspectral Image Super-Resolution: Task-Based Evaluation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 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
2024	J	`jnl`	In Search of Quantum Advantage: Estimating the Number of Shots in Quantum Kernel Methods. CoRR Artur Miroszewski, Marco Fellous Asiani, Jakub Mielczarek, Bertrand Le Saux, Jakub Nalepa
2024	C	`conf`	Intuition-1: Toward In-Orbit Bare Soil Detection Using Spectral Vegetation Indices. IGARSS Agata M. Wijata, Tomasz Lakota, Marcin Cwiek, Bogdan Ruszczak, Michal Gumiela, Lukasz Tulczyjew, Andrzej Bartoszek, Nicolas Longépé, Krzysztof Smykala, Jakub Nalepa
2024	—	`conf`	Particle Swarm Optimization Meets Deep Learning for Estimating Root-Zone Soil Moisture from Hyperspectral Images. GECCO Companion Bogdan Ruszczak, Michal Myller, Lukasz Tulczyjew, Agata Wijata, Jakub Nalepa
2024	C	`conf`	Predicting the MGMT Promoter Methylation Status in T2-FLAIR Magnetic Resonance Imaging Scans Using Machine Learning. ICPRAM Martyna Kurbiel, Agata M. Wijata, Jakub Nalepa
2024	J	`jnl`	Quantifying inconsistencies in the Hamburg Sign Language Notation System. Expert Syst. Appl. Maria Ferlin, Sylwia Majchrowska, Marta A. Plantykow, Alicja Kwasniewska, Agnieszka Mikolajczyk-Barela, Milena Olech, Jakub Nalepa
2024	J	`jnl`	Red Teaming Models for Hyperspectral Image Analysis Using Explainable AI. CoRR Vladimir Zaigrajew, Hubert Baniecki, Lukasz Tulczyjew, Agata M. Wijata, Jakub Nalepa, Nicolas Longépé, Przemyslaw Biecek
2024	—	`conf`	Seeing the Invisible: On Aortic Valve Reconstruction in Non-contrast CT. MICCAI (9) Mariusz Bujny, Katarzyna Jesionek, Jakub Nalepa, Tomasz Bartczak, Karol Miszalski-Jamka, Marcin Kostur
2024	—	`conf`	Selecting Image Features for Biopsy Needle Detection in Ultrasound Images Using Genetic Algorithms. GECCO Companion Agata M. Wijata, Bartlomiej Pycinski, Jakub Nalepa
2024	C	`conf`	Soil Analysis with Very Few Labels Using Semi-Supervised Hyperspectral Image Classification. IGARSS Bartosz Grabowski, Agata M. Wijata, Lukasz Tulczyjew, Bertrand Le Saux, Jakub Nalepa
2024	J	`jnl`	Squeezing adaptive deep learning methods with knowledge distillation for on-board cloud detection. Eng. Appl. Artif. Intell. Bartosz Grabowski, Maciej Ziaja, Michal Kawulok, Piotr Bosowski, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
2024	J	`jnl`	Standardized validation of vehicle routing algorithms. Appl. Intell. Tomasz Jastrzab, Michal Myller, Lukasz Tulczyjew, Miroslaw Blocho, Michal Kawulok, Adam Czornik, Jakub Nalepa
2024	J	`jnl`	The OPS-SAT benchmark for detecting anomalies in satellite telemetry. CoRR Bogdan Ruszczak, Krzysztof Kotowski, David Evans, Jakub Nalepa
2024	C	`conf`	Utility of Quantum Kernel Machines in Remote Sensing Applications. IGARSS Artur Miroszewski, Bertrand Le Saux, Nicolas Longépé, Jakub Nalepa
2023	C	`conf`	Benchmarking Space-Based Data Center Architectures. IGARSS Michal Gumiela, Alicja Musial, Agata M. Wijata, Dawid Lazaj, Jonas Weiss, Patricia Sagmeister, Thomas Morf, Martin L. Schmatz, Jakub Nalepa
2023	J	`jnl`	Cloud Detection in Multispectral Satellite Images Using Support Vector Machines With Quantum Kernels. CoRR Artur Miroszewski, Jakub Mielczarek, Filip Szczepanek, Grzegorz Czelusta, Bartosz Grabowski, Bertrand Le Saux, Jakub Nalepa
2023	C	`conf`	Cloud Detection in Multispectral Satellite Images Using Support Vector Machines with Quantum Kernels. IGARSS Artur Miroszewski, Jakub Mielczarek, Filip Szczepanek, Grzegorz Czelusta, Bartosz Grabowski, Bertrand Le Saux, Jakub Nalepa
2023	B	`conf`	Deep Learning Meets Particle Swarm Optimization For Aortic Valve Calcium Scoring From Cardiac Computed Tomography. ICIP Jaroslaw Goslinski, Filip Malawski, Mariusz Bujny, Marcin Kostur, Karol Miszalski-Jamka, Jakub Nalepa
2023	J	`jnl`	Deep learning automates bidimensional and volumetric tumor burden measurement from MRI in pre- and post-operative glioblastoma patients. Comput. Biol. Medicine 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
2023	J	`jnl`	Detecting Clouds in Multispectral Satellite Images Using Quantum-Kernel Support Vector Machines. CoRR Artur Miroszewski, Jakub Mielczarek, Grzegorz Czelusta, Filip Szczepanek, Bartosz Grabowski, Bertrand Le Saux, Jakub Nalepa
2023	J	`jnl`	Detecting Clouds in Multispectral Satellite Images Using Quantum-Kernel Support Vector Machines. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Artur Miroszewski, Jakub Mielczarek, Grzegorz Czelusta, Filip Szczepanek, Bartosz Grabowski, Bertrand Le Saux, Jakub Nalepa
2023	J	`jnl`	Detecting liver cirrhosis in computed tomography scans using clinically-inspired and radiomic features. Comput. Biol. Medicine Krzysztof Kotowski, Damian Kucharski, Bartosz Machura, Szymon Adamski, Benjamín Gutiérrez-Becker, Agata Krason, Lukasz Zarudzki, Jean Tessier, Jakub Nalepa
2023	—	`conf`	Estimating Chlorophyll Content from Hyperspectral Data Using Gradient Features. ICCS (2) Bogdan Ruszczak, Agata M. Wijata, Jakub Nalepa
2023	—	`conf`	Genetic Structural NAS: A Neural Network Architecture Search with Flexible Slot Connections. GECCO Companion Jakub Sadel, Michal Kawulok, Mateusz Przeliorz, Jakub Nalepa, Daniel Kostrzewa
2023	C	`conf`	Hyperspectral Image Pansharpening: The Prisma Case Study. IGARSS 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
2023	C	`conf`	Knowledge Distillation for Memory-Efficient On-Board Image Classification of Mars Imagery. IGARSS Piotr Bosowski, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
2023	—	`conf`	Machine Learning Detects Anomalies in OPS-SAT Telemetry. ICCS (1) Bogdan Ruszczak, Krzysztof Kotowski, Jacek Andrzejewski, Alicja Musial, David Evans, Vladimir Zelenevskiy, Sam Bammens, Rodrigo Laurinovics, Jakub Nalepa
2023	B	`conf`	Machine Learning Detects a Biopsy Needle in Ultrasound Images. ICIP Agata M. Wijata, Jakub Nalepa
2023	J	`jnl`	Multitemporal and Multispectral Data Fusion for Super-Resolution of Sentinel-2 Images. IEEE Trans. Geosci. Remote. Sens. Tomasz Tarasiewicz, Jakub Nalepa, Reuben A. Farrugia, Gianluca Valentino, Mang Chen, Johann A. Briffa, Michal Kawulok
2023	J	`jnl`	Multitemporal and multispectral data fusion for super-resolution of Sentinel-2 images. CoRR Tomasz Tarasiewicz, Jakub Nalepa, Reuben A. Farrugia, Gianluca Valentino, Mang Chen, Johann A. Briffa, Michal Kawulok
2023	J	`jnl`	OXI: An online tool for visualization and annotation of satellite time series data. SoftwareX Bogdan Ruszczak, Krzysztof Kotowski, Jacek Andrzejewski, Christoph Haskamp, Jakub Nalepa
2023	—	`conf`	On the Impact of Noisy Labels on Supervised Classification Models. ICCS (2) Rafal Dubel, Agata M. Wijata, Jakub Nalepa
2023	J	`jnl`	On the Importance of Sign Labeling: The Hamburg Sign Language Notation System Case Study. CoRR Maria Ferlin, Sylwia Majchrowska, Marta A. Plantykow, Alicja Kwasniwska, Agnieszka Mikolajczyk-Barela, Milena Olech, Jakub Nalepa
2023	C	`conf`	Optimizing Kernel-Target Alignment for Cloud Detection in Multispectral Satellite Images. IGARSS Artur Miroszewski, Jakub Mielczarek, Filip Szczepanek, Grzegorz Czelusta, Bartosz Grabowski, Bertrand Le Saux, Jakub Nalepa
2023	J	`jnl`	Optimizing Kernel-Target Alignment for cloud detection in multispectral satellite images. CoRR Artur Miroszewski, Jakub Mielczarek, Filip Szczepanek, Grzegorz Czelusta, Bartosz Grabowski, Bertrand Le Saux, Jakub Nalepa
2023	—	`conf`	Parallel Cooperative Memetic Co-evolution for VRPTW. GECCO Companion Miroslaw Blocho, Tomasz Jastrzab, Jakub Nalepa
2023	J	`jnl`	Quantum Machine Learning for Remote Sensing: Exploring potential and challenges. CoRR Artur Miroszewski, Jakub Nalepa, Bertrand Le Saux, Jakub Mielczarek
2023	J	`jnl`	Squeezing nnU-Nets with Knowledge Distillation for On-Board Cloud Detection. CoRR Bartosz Grabowski, Maciej Ziaja, Michal Kawulok, Piotr Bosowski, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
2023	C	`conf`	Toward On-Board Methane Detection in Hyperspectral Images. IGARSS 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
2023	C	`conf`	Unbiased Validation of Hyperspectral Unmixing Algorithms. IGARSS Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
2023	C	`conf`	Understanding the Value of Hyperspectral Image Super-Resolution from Prisma Data. IGARSS 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
2022	J	`jnl`	A Multibranch Convolutional Neural Network for Hyperspectral Unmixing. CoRR Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
2022	J	`jnl`	A Multibranch Convolutional Neural Network for Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
2022	C	`conf`	Are Cloud Detection U-Nets Robust Against in-Orbit Image Acquisition Conditions? IGARSS Bartosz Grabowski, Maciej Ziaja, Michal Kawulok, Marcin Cwiek, Tomasz Lakota, Nicolas Longépé, Jakub Nalepa
2022	—	`conf`	Cascades of evolutionary support vector machines. GECCO Companion Wojciech Dudzik, Jakub Nalepa, Michal Kawulok
2022	—	`conf`	Cooperative co-evolutionary memetic algorithm for pickup and delivery problem with time windows. GECCO Companion Miroslaw Blocho, Tomasz Jastrzab, Jakub Nalepa
2022	C	`conf`	Data Augmentation for Multi-Image Super-Resolution. IGARSS Maciej Ziaja, Jakub Nalepa, Michal Kawulok
2022	—	`conf`	Deep Learning Meets Computational Fluid Dynamics to Assess CAD in CCTA. AMAI@MICCAI Filip Malawski, Jaroslaw Goslinski, Mikolaj Stryja, Katarzyna Jesionek, Marcin Kostur, Karol Miszalski-Jamka, Jakub Nalepa
2022	B	`conf`	Deep Learning Meets Radiomics For End-To-End Brain Tumor MRI Analysis. ICIP Wojciech Ponikiewski, Jakub Nalepa
2022	J	`jnl`	Deep learning automates bidimensional and volumetric tumor burden measurement from MRI in pre- and post-operative glioblastoma patients. CoRR 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
2022	—	`conf`	Evolutionary algorithms meet classical and deep machine learning for skin detection in color images. GECCO Companion Jakub Nalepa, Stanislaw Czembor, Wojciech Dudzik, Michal Kawulok
2022	C	`conf`	Extracting High-Resolution Cultivated Land Maps from Sentinel-2 Image Series. IGARSS Tomasz Tarasiewicz, Lukasz Tulczyjew, Michal Myller, Michal Kawulok, Nicolas Longépé, Jakub Nalepa
2022	—	`conf`	Federated Evaluation of nnU-Nets Enhanced with Domain Knowledge for Brain Tumor Segmentation. BrainLes@MICCAI (2) Krzysztof Kotowski, Szymon Adamski, Bartosz Machura, Wojciech Malara, Lukasz Zarudzki, Jakub Nalepa
2022	J	`jnl`	First Gradually, Then Suddenly: Understanding the Impact of Image Compression on Object Detection Using Deep Learning. Sensors Tomasz Gandor, Jakub Nalepa
2022	—	`conf`	Fusing Deep Learning with Support Vector Machines to Detect COVID-19 in X-Ray Images. ACIIDS (Companion) Jakub Nalepa, Piotr Bosowski, Wojciech Dudzik, Michal Kawulok
2022	J	`jnl`	Graph Neural Networks Extract High-Resolution Cultivated Land Maps From Sentinel-2 Image Series. IEEE Geosci. Remote. Sens. Lett. Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
2022	J	`jnl`	Graph Neural Networks Extract High-Resolution Cultivated Land Maps from Sentinel-2 Image Series. CoRR Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
2022	—	`conf`	Infusing Domain Knowledge into nnU-Nets for Segmenting Brain Tumors in MRI. BrainLes@MICCAI Krzysztof Kotowski, Szymon Adamski, Bartosz Machura, Lukasz Zarudzki, Jakub Nalepa
2022	J	`jnl`	MuS2: A Benchmark for Sentinel-2 Multi-Image Super-Resolution. CoRR Pawel Kowaleczko, Tomasz Tarasiewicz, Maciej Ziaja, Daniel Kostrzewa, Jakub Nalepa, Przemyslaw Rokita, Michal Kawulok
2022	—	`conf`	Particle Swarm Optimization Configures the Route Minimization Algorithm. ICCS (1) Tomasz Jastrzab, Michal Myller, Lukasz Tulczyjew, Miroslaw Blocho, Wojciech Ryczko, Michal Kawulok, Jakub Nalepa
2022	—	`conf`	Robustifying Automatic Assessment of Brain Tumor Progression from MRI. BrainLes@MICCAI Krzysztof Kotowski, Bartosz Machura, Jakub Nalepa
2022	J	`jnl`	Segmenting pediatric optic pathway gliomas from MRI using deep learning. Comput. Biol. Medicine Jakub Nalepa, Szymon Adamski, Krzysztof Kotowski, Sylwia Chelstowska, Magdalena Machnikowska-Sokolowska, Oskar Bozek, Agata Wisz, Elzbieta Jurkiewicz
2022	J	`jnl`	Self-Configuring nnU-Nets Detect Clouds in Satellite Images. CoRR Bartosz Grabowski, Maciej Ziaja, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa
2022	C	`conf`	Semi-Simulated Training Data for Multi-Image Super-Resolution. IGARSS Tomasz Tarasiewicz, Jakub Nalepa, Michal Kawulok
2022	B	`conf`	The Hyperview Challenge: Estimating Soil Parameters from Hyperspectral Images. ICIP Jakub Nalepa, Bertrand Le Saux, Nicolas Longépé, Lukasz Tulczyjew, Michal Myller, Michal Kawulok, Krzysztof Smykala, Michal Gumiela
2022	B	`conf`	Unbiased Validation of the Algorithms for Automatic Needle Localization in Ultrasound-Guided Breast Biopsies. ICIP Agata M. Wijata, Jakub Nalepa
2022	J	`jnl`	Unbiasing the Estimation of Chlorophyll from Hyperspectral Images: A Benchmark Dataset, Validation Procedure and Baseline Results. Remote. Sens. Bogdan Ruszczak, Agata M. Wijata, Jakub Nalepa
2021	B	`conf`	A Graph Neural Network For Multiple-Image Super-Resolution. ICIP Tomasz Tarasiewicz, Jakub Nalepa, Michal Kawulok
2021	J	`jnl`	Benchmarking Deep Learning for On-Board Space Applications. Remote. Sens. Maciej Ziaja, Piotr Bosowski, Michal Myller, Grzegorz Gajoch, Michal Gumiela, Jennifer Protich, Katherine Borda, Dhivya Jayaraman, Renata Dividino, Jakub Nalepa
2021	—	`conf`	Coupling nnU-Nets with Expert Knowledge for Accurate Brain Tumor Segmentation from MRI. BrainLes@MICCAI (2) Krzysztof Kotowski, Szymon Adamski, Bartosz Machura, Lukasz Zarudzki, Jakub Nalepa
2021	J	`jnl`	Deep Ensembles for Hyperspectral Image Data Classification and Unmixing. Remote. Sens. Jakub Nalepa, Michal Myller, Lukasz Tulczyjew, Michal Kawulok
2021	C	`conf`	Deep Learning for Multiple-Image Super-Resolution of Sentinel-2 Data. IGARSS Michal Kawulok, Tomasz Tarasiewicz, Jakub Nalepa, Diana Tyrna, Daniel Kostrzewa
2021	—	`conf`	Detecting anomalies in spacecraft telemetry using evolutionary thresholding and LSTMs. GECCO Companion Pawel Benecki, Szymon Piechaczek, Daniel Kostrzewa, Jakub Nalepa
2021	B	`conf`	Evolving Deep Ensembles For Detecting Covid-19 In Chest X-Rays. ICIP Piotr Bosowski, Joanna Bosowska, Jakub Nalepa
2021	J	`jnl`	Evolving data-adaptive support vector machines for binary classification. Knowl. Based Syst. Wojciech Dudzik, Jakub Nalepa, Michal Kawulok
2021	C	`conf`	Investigating the Impact of the Training Set Size on Deep Learning-Powered Hyperspectral Unmixing. IGARSS Lukasz Tulczyjew, Jakub Nalepa
2021	J	`jnl`	Recent Advances in Multi- and Hyperspectral Image Analysis. Sensors Jakub Nalepa
2021	J	`jnl`	Towards On-Board Hyperspectral Satellite Image Segmentation: Understanding Robustness of Deep Learning through Simulating Acquisition Conditions. Remote. Sens. Jakub Nalepa, Michal Myller, Marcin Cwiek, Lukasz Zak, Tomasz Lakota, Lukasz Tulczyjew, Michal Kawulok
2021	C	`conf`	Towards Robust Cloud Detection in Satellite Images Using U-Nets. IGARSS Bartosz Grabowski, Maciej Ziaja, Michal Kawulok, Jakub Nalepa
2021	J	`jnl`	Unsupervised Feature Learning Using Recurrent Neural Nets for Segmenting Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. Lukasz Tulczyjew, Michal Kawulok, Jakub Nalepa
2020	J	`jnl`	Deep Learning for Multiple-Image Super-Resolution. IEEE Geosci. Remote. Sens. Lett. Michal Kawulok, Pawel Benecki, Szymon Piechaczek, Krzysztof Hrynczenko, Daniel Kostrzewa, Jakub Nalepa
2020	C	`conf`	Evaluating Super-Resolution of Satellite Images: A Proba-V Case Study. IGARSS Michal Kawulok, Pawel Benecki, Jakub Nalepa, Daniel Kostrzewa
2020	J	`jnl`	Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors. Artif. Intell. Medicine 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
2020	J	`jnl`	Hyperspectral Band Selection Using Attention-Based Convolutional Neural Networks. IEEE Access Pablo Ribalta Lorenzo, Lukasz Tulczyjew, Michal Marcinkiewicz, Jakub Nalepa
2020	C	`conf`	Hyperspectral Image Classification Using Spectral-Spatial Convolutional Neural Networks. IGARSS Jakub Nalepa, Lukasz Tulczyjew, Michal Myller, Michal Kawulok
2020	—	`conf`	Lightweight U-Nets for Brain Tumor Segmentation. BrainLes@MICCAI (2) Tomasz Tarasiewicz, Michal Kawulok, Jakub Nalepa
2020	B	`conf`	Memetic Evolution of Training Sets with Adaptive Radial Basis Kernels for Support Vector Machines. ICPR Jakub Nalepa, Wojciech Dudzik, Michal Kawulok
2020	—	`conf`	Multiple-Image Super-Resolution Using Deep Learning and Statistical Features. S+SSPR Jakub Nalepa, Krzysztof Hrynczenko, Michal Kawulok
2020	—	`conf`	Segmenting Brain Tumors from MRI Using Cascaded 3D U-Nets. BrainLes@MICCAI (2) Krzysztof Kotowski, Szymon Adamski, Wojciech Malara, Bartosz Machura, Lukasz Zarudzki, Jakub Nalepa
2020	C	`conf`	Segmenting Hyperspectral Images Using Spectral Convolutional Neural Networks in the Presence of Noise. IGARSS Jakub Nalepa, Marek Stanek
2020	—	`conf`	Selecting Features from Time Series Using Attention-Based Recurrent Neural Networks. S+SSPR Michal Myller, Michal Kawulok, Jakub Nalepa
2020	B	`conf`	Skinny: A Lightweight U-Net For Skin Detection And Segmentation. ICIP Tomasz Tarasiewicz, Jakub Nalepa, Michal Kawulok
2020	J	`jnl`	Towards resource-frugal deep convolutional neural networks for hyperspectral image segmentation. Microprocess. Microsystems Jakub Nalepa, Marek Antoniak, Michal Myller, Pablo Ribalta Lorenzo, Michal Marcinkiewicz
2020	J	`jnl`	Training- and Test-Time Data Augmentation for Hyperspectral Image Segmentation. IEEE Geosci. Remote. Sens. Lett. Jakub Nalepa, Michal Myller, Michal Kawulok
2020	J	`jnl`	Transfer Learning for Segmenting Dimensionally Reduced Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. Jakub Nalepa, Michal Myller, Michal Kawulok
2020	J	`jnl`	Unsupervised Segmentation of Hyperspectral Images Using 3-D Convolutional Autoencoders. IEEE Geosci. Remote. Sens. Lett. Jakub Nalepa, Michal Myller, Yasuteru Imai, Ken-ichi Honda, Tomomi Takeda, Marek Antoniak
2019	J	`jnl`	Data Augmentation for Brain-Tumor Segmentation: A Review. Frontiers Comput. Neurosci. Jakub Nalepa, Michal Marcinkiewicz, Michal Kawulok
2019	B	`conf`	Data Augmentation via Image Registration. ICIP 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
2019	J	`jnl`	Deep Learning for Multiple-Image Super-Resolution. CoRR Michal Kawulok, Pawel Benecki, Szymon Piechaczek, Krzysztof Hrynczenko, Daniel Kostrzewa, Jakub Nalepa
2019	—	`conf`	Detection and Segmentation of Brain Tumors from MRI Using U-Nets. BrainLes@MICCAI (2) Krzysztof Kotowski, Jakub Nalepa, Wojciech Dudzik
2019	—	`conf`	Evolutionarily-tuned support vector machines. GECCO (Companion) Wojciech Dudzik, Michal Kawulok, Jakub Nalepa
2019	J	`jnl`	Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors. CoRR 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
2019	J	`jnl`	Hyperspectral Data Augmentation. CoRR Jakub Nalepa, Michal Myller, Michal Kawulok
2019	B	`conf`	Memetic Evolution of Classification Ensembles. EvoApplications Szymon Piechaczek, Michal Kawulok, Jakub Nalepa
2019	—	`conf`	Multi-modal U-Nets with Boundary Loss and Pre-training for Brain Tumor Segmentation. BrainLes@MICCAI (2) Pablo Ribalta Lorenzo, Michal Marcinkiewicz, Jakub Nalepa
2019	B	`conf`	On Evolutionary Classification Ensembles. CEC Aleksandra Kardas, Michal Kawulok, Jakub Nalepa
2019	C	`conf`	On Training Deep Networks for Satellite Image Super-Resolution. IGARSS Michal Kawulok, Szymon Piechaczek, Krzysztof Hrynczenko, Pawel Benecki, Daniel Kostrzewa, Jakub Nalepa
2019	J	`jnl`	On training deep networks for satellite image super-resolution. CoRR Michal Kawulok, Szymon Piechaczek, Krzysztof Hrynczenko, Pawel Benecki, Daniel Kostrzewa, Jakub Nalepa
2019	—	`conf`	Optimizing Training Data and Hyperparameters of Support Vector Machines Using a Memetic Algorithm. ICMMI Wojciech Dudzik, Michal Kawulok, Jakub Nalepa
2019	C	`conf`	Segmentation of Multispectral Data Simulated from Hyperspectral Imagery. IGARSS Michal Marcinkiewicz, Michal Kawulok, Jakub Nalepa
2019	J	`jnl`	Segmenting Hyperspectral Images Using Spectral-Spatial Convolutional Neural Networks With Training-Time Data Augmentation. CoRR Jakub Nalepa, Lukasz Tulczyjew, Michal Myller, Michal Kawulok
2019	J	`jnl`	Segmenting brain tumors from FLAIR MRI using fully convolutional neural networks. Comput. Methods Programs Biomed. Pablo Ribalta Lorenzo, Jakub Nalepa, Barbara Bobek-Billewicz, Pawel Wawrzyniak, Grzegorz Mrukwa, Michal Kawulok, Pawel Ulrych, Michael P. Hayball
2019	J	`jnl`	Selecting training sets for support vector machines: a review. Artif. Intell. Rev. Jakub Nalepa, Michal Kawulok
2019	—	`conf`	Super-Resolution Reconstruction Using Deep Learning: Should We Go Deeper? BDAS Daniel Kostrzewa, Szymon Piechaczek, Krzysztof Hrynczenko, Pawel Benecki, Jakub Nalepa, Michal Kawulok
2019	J	`jnl`	Transfer Learning for Segmenting Dimensionally-Reduced Hyperspectral Images. CoRR Jakub Nalepa, Michal Myller, Michal Kawulok
2019	J	`jnl`	Unsupervised Segmentation of Hyperspectral Images Using 3D Convolutional Autoencoders. CoRR Jakub Nalepa, Michal Myller, Yasuteru Imai, Ken-ichi Honda, Tomomi Takeda, Marek Antoniak
2019	J	`jnl`	Validating Hyperspectral Image Segmentation. IEEE Geosci. Remote. Sens. Lett. Jakub Nalepa, Michal Myller, Michal Kawulok
2018	J	`jnl`	Adaptive cooperation in parallel memetic algorithms for rich vehicle routing problems. Int. J. Grid Util. Comput. Jakub Nalepa, Miroslaw Blocho
2018	—	`conf`	Automated Optimization of Non-linear Support Vector Machines for Binary Classification. INCoS Wojciech Dudzik, Jakub Nalepa, Michal Kawulok
2018	J	`jnl`	Band Selection from Hyperspectral Images Using Attention-based Convolutional Neural Networks. CoRR Pablo Ribalta Lorenzo, Lukasz Tulczyjew, Michal Marcinkiewicz, Jakub Nalepa
2018	B	`conf`	Evolvable Deep Features. EvoApplications Jakub Nalepa, Grzegorz Mrukwa, Michal Kawulok
2018	C	`conf`	Extracting Biomarkers from Dynamic Images - Approaches and Challenges. ICPRAM Jakub Nalepa, Michael P. Hayball, Stephen J. Brown, Michal Kawulok, Janusz Szymanek
2018	—	`conf`	Genetic Selection of Training Sets for (Not Only) Artificial Neural Networks. BDAS Jakub Nalepa, Michal Myller, Szymon Piechaczek, Krzysztof Hrynczenko, Michal Kawulok
2018	—	`conf`	Genetically-trained deep neural networks. GECCO (Companion) Krzysztof Pawelczyk, Michal Kawulok, Jakub Nalepa
2018	A	`conf`	Memetic evolution of deep neural networks. GECCO Pablo Ribalta Lorenzo, Jakub Nalepa
2018	—	`conf`	Multi-scale Voting Classifiers for Breast-Cancer Histology Images. INCoS Jakub Nalepa, Szymon Piechaczek, Michal Myller, Krzysztof Hrynczenko
2018	—	`conf`	Parameter-less (meta)heuristics for vehicle routing problems. GECCO (Companion) Jakub Nalepa, Miroslaw Blocho
2018	C	`conf`	Segmentation of Hyperspectral Images Using Quantized Convolutional Neural Networks. DSD Pablo Ribalta Lorenzo, Michal Marcinkiewicz, Jakub Nalepa
2018	—	`conf`	Segmenting Brain Tumors from MRI Using Cascaded Multi-modal U-Nets. BrainLes@MICCAI (2) Michal Marcinkiewicz, Jakub Nalepa, Pablo Ribalta Lorenzo, Wojciech Dudzik, Grzegorz Mrukwa
2018	—	`conf`	Towards Robust Evaluation of Super-Resolution Satellite Image Reconstruction. ACIIDS (1) Michal Kawulok, Pawel Benecki, Jakub Nalepa, Daniel Kostrzewa, Lukasz Skonieczny
2018	C	`conf`	Transferring Information Across Medical Images of Different Modalities. ICPRAM Jakub Nalepa, Piotr Mokry, Janusz Szymanek, Michael P. Hayball
2018	J	`jnl`	Validating Hyperspectral Image Segmentation. CoRR Jakub Nalepa, Michal Myller, Michal Kawulok
2017	C	`conf`	A Parallel Memetic Algorithm for the Pickup and Delivery Problem with Time Windows. PDP Jakub Nalepa, Miroslaw Blocho
2017	J	`jnl`	Adaptive guided ejection search for pickup and delivery with time windows. J. Intell. Fuzzy Syst. Jakub Nalepa, Miroslaw Blocho
2017	—	`conf`	An Alternating Genetic Algorithm for Selecting SVM Model and Training Set. MCPR Michal Kawulok, Jakub Nalepa, Wojciech Dudzik
2017	—	`conf`	Behind the Scenes of Deadline24: A Memetic Algorithm for the Modified Job Shop Scheduling Problem. ICMMI Jakub Nalepa, Marcin Cwiek, Lukasz Zak
2017	J	`jnl`	Complexity Analysis of the Parallel Guided Ejection Search for the Pickup and Delivery Problem with Time Windows. CoRR Miroslaw Blocho, Jakub Nalepa
2017	—	`conf`	Complexity Analysis of the Parallel Memetic Algorithm for the Pickup and Delivery Problem with Time Windows. ICMMI Miroslaw Blocho, Jakub Nalepa
2017	—	`conf`	Convergence Analysis of PSO for Hyper-Parameter Selection in Deep Neural Networks. 3PGCIC Jakub Nalepa, Pablo Ribalta Lorenzo
2017	A	`conf`	Hands-Free Research Workflow. EASE Pablo Ribalta Lorenzo, Jakub Nalepa, Luciano Sánchez Ramos, José Ranilla Pastor
2017	—	`conf`	Hyper-parameter selection in deep neural networks using parallel particle swarm optimization. GECCO (Companion) Pablo Ribalta Lorenzo, Jakub Nalepa, Luciano Sánchez Ramos, José Ranilla Pastor
2017	B	`conf`	LCS-Based Selective Route Exchange Crossover for the Pickup and Delivery Problem with Time Windows. EvoCOP Miroslaw Blocho, Jakub Nalepa
2017	A	`conf`	Particle swarm optimization for hyper-parameter selection in deep neural networks. GECCO Pablo Ribalta Lorenzo, Jakub Nalepa, Michal Kawulok, Luciano Sánchez Ramos, José Ranilla Pastor
2017	—	`conf`	Segmenting Lungs from Whole-Body CT Scans. BDAS Maksym Walczak, Izabela Burda, Jakub Nalepa, Michal Kawulok
2017	—	`conf`	Spatial Planning as a Hexomino Puzzle. ACIIDS (1) Marcin Cwiek, Jakub Nalepa
2017	—	`conf`	Towards Detecting High-Uptake Lesions from Lung CT Scans Using Deep Learning. ICIAP (2) Krzysztof Pawelczyk, Michal Kawulok, Jakub Nalepa, Michael P. Hayball, Sarah J. McQuaid, Vineet Prakash, Balaji Ganeshan
2017	—	`conf`	Tuning and Evolving Support Vector Machine Models. ICMMI Jakub Nalepa, Michal Kawulok, Wojciech Dudzik
2016	J	`jnl`	Adaptive memetic algorithm enhanced with data geometry analysis to select training data for SVMs. Neurocomputing Jakub Nalepa, Michal Kawulok
2016	J	`jnl`	Adaptive memetic algorithm for minimizing distance in the vehicle routing problem with time windows. Soft Comput. Jakub Nalepa, Miroslaw Blocho
2016	—	`conf`	Enhanced Guided Ejection Search for the Pickup and Delivery Problem with Time Windows. ACIIDS (1) Jakub Nalepa, Miroslaw Blocho
2016	—	`conf`	How to Generate Benchmarks for Rich Routing Problems? ACIIDS (1) Marcin Cwiek, Jakub Nalepa, Marcin Dublanski
2016	J	`jnl`	Hybrid adaptation for detecting skin in color images. Intell. Data Anal. Michal Kawulok, Jolanta Kawulok, Jakub Nalepa, Bogdan Smolka
2016	—	`conf`	In Search of Truth: Analysis of Smile Intensity Dynamics to Detect Deception. IBERAMIA Michal Kawulok, Jakub Nalepa, Karolina Nurzynska, Bogdan Smolka
2016	—	`conf`	Is Your Parallel Algorithm Correct? FedCSIS (Position Papers) Jakub Nalepa, Miroslaw Blocho
2016	—	`conf`	Manifold Learning for Hand Pose Recognition: Evaluation Framework. BDAS Maciej Papiez, Michal Kawulok, Jakub Nalepa
2016	—	`conf`	Temporally Adaptive Co-operation Schemes. 3PGCIC Jakub Nalepa, Miroslaw Blocho
2016	—	`conf`	The Smaller, the Better: Selecting Refined SVM Training Sets Using Adaptive Memetic Algorithm. GECCO (Companion) Jakub Nalepa, Michal Kawulok
2015	C	`conf`	A Parallel Algorithm for Minimizing the Fleet Size in the Pickup and Delivery Problem with Time Windows. EuroMPI Miroslaw Blocho, Jakub Nalepa
2015	—	`conf`	A Parallel Algorithm with the Search Space Partition for the Pickup and Delivery with Time Windows. 3PGCIC Jakub Nalepa, Miroslaw Blocho
2015	B	`conf`	Adaptive memetic algorithm for the job shop scheduling problem. IJCNN Jakub Nalepa, Marcin Cwiek, Michal Kawulok
2015	J	`jnl`	Co-operation in the Parallel Memetic Algorithm. Int. J. Parallel Program. Jakub Nalepa, Miroslaw Blocho
2015	—	`conf`	Impact of Parallel Memetic Algorithm Parameters on Its Efficacy. BDAS Miroslaw Blocho, Jakub Nalepa
2015	—	`conf`	Real-Time People Counting from Depth Images. BDAS Jakub Nalepa, Janusz Szymanek, Michal Kawulok
2015	—	`conf`	Towards parameter-less support vector machines. ACPR Jakub Nalepa, Krzysztof Siminski, Michal Kawulok
2015	—	`conf`	Towards robust SVM training from weakly labeled large data sets. ACPR Michal Kawulok, Jakub Nalepa
2014	J	`jnl`	A Parallel Memetic Algorithm to Solve the Vehicle Routing Problem with Time Windows. CoRR Jakub Nalepa, Zbigniew J. Czech
2014	—	`conf`	A fast genetic algorithm for the flexible job shop scheduling problem. GECCO (Companion) Marcin Cwiek, Jakub Nalepa
2014	A	`conf`	A memetic algorithm to select training data for support vector machines. GECCO Jakub Nalepa, Michal Kawulok
2014	B	`conf`	Adaptive Genetic Algorithm to Select Training Data for Support Vector Machines. EvoApplications Jakub Nalepa, Michal Kawulok
2014	—	`conf`	Adaptive memetic algorithm for the vehicle routing problem with time windows. GECCO (Companion) Jakub Nalepa
2014	—	`conf`	Dynamically Adaptive Genetic Algorithm to Select Training Data for SVMs. IBERAMIA Michal Kawulok, Jakub Nalepa
2014	—	`conf`	Fast and Accurate Hand Shape Classification. BDAS Jakub Nalepa, Michal Kawulok
2014	—	`conf`	Hand pose estimation using support vector machines with evolutionary training. IWSSIP Michal Kawulok, Jakub Nalepa
2014	J	`jnl`	Real-Time Hand Shape Classification. CoRR Jakub Nalepa, Michal Kawulok
2014	C	`conf`	Self-Adaptive Skin Segmentation in Color Images. CIARP Michal Kawulok, Jolanta Kawulok, Jakub Nalepa, Bogdan Smolka
2014	J	`jnl`	Self-adaptive algorithm for segmenting skin regions. EURASIP J. Adv. Signal Process. Michal Kawulok, Jolanta Kawulok, Jakub Nalepa, Bogdan Smolka
2014	J	`jnl`	Spatial-based skin detection using discriminative skin-presence features. Pattern Recognit. Lett. Michal Kawulok, Jolanta Kawulok, Jakub Nalepa
2014	Misc	`conf`	Texture Analysis for Identifying Heterogeneity in Medical Images. ICCVG Jakub Nalepa, Janusz Szymanek, Michael P. Hayball, Stephen J. Brown, Balaji Ganeshan, Kenneth Miles
2013	—	`conf`	Co-operation Schemes for the Parallel Memetic Algorithm. PPAM (1) Jakub Nalepa, Miroslaw Blocho, Zbigniew J. Czech
2013	—	`conf`	New Selection Schemes in a Memetic Algorithm for the Vehicle Routing Problem with Time Windows. ICANNGA Jakub Nalepa, Zbigniew J. Czech
2013	C	`conf`	Parallel Hand Shape Classification. ISM Jakub Nalepa, Michal Kawulok
2013	—	`conf`	Real-Time Wrist Localization in Hand Silhouettes. CORES Tomasz Grzejszczak, Jakub Nalepa, Michal Kawulok
2013	B	`conf`	Skin detection using spatial analysis with adaptive seed. ICIP Michal Kawulok, Jolanta Kawulok, Jakub Nalepa, Maciej Papiez
2013	—	`conf`	Wrist Localization in Color Images for Hand Gesture Recognition. ICMMI Jakub Nalepa, Tomasz Grzejszczak, Michal Kawulok
2012	—	`conf`	Support Vector Machines Training Data Selection Using a Genetic Algorithm. SSPR/SPR Michal Kawulok, Jakub Nalepa