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Michal Kawulok
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2020 – today
- 2024
- [j28]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) - [j27]Bartosz Grabowski, Maciej Ziaja
Squeezing adaptive deep learning methods with knowledge distillation for on-board cloud detection. Eng. Appl. Artif. Intell. 132: 107835 (2024) - [j26]Wojciech Dudzik
Ensembles of evolutionarily-constructed support vector machine cascades. Knowl. Based Syst. 288: 111490 (2024) - [j25]Michal Kawulok
Hyperspectral Image Super-Resolution: Task-Based Evaluation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 18949-18966 (2024) - [c87]Bartlomiej Pogodzinski, Tomasz Tarasiewicz, Michal Kawulok:
Multi-Image Fusion for Super-Resolving Individual Sentinel-2 Images. IGARSS 2024: 1108-1112 - [c86]Maciej Ziaja, Pawel Kowaleczko, Daniel Kostrzewa, Nicolas Longépé, Michal Kawulok:
Toward Task-Driven Satellite Image Super-Resolution. IGARSS 2024: 1235-1239 - [i16]Maciej Zyrek, Michal Kawulok:
Task-driven single-image super-resolution reconstruction of document scans. CoRR abs/2407.08993 (2024) - [i15]Patryk Kuban, Michal Kawulok:
Ensembling convolutional neural networks for human skin segmentation. CoRR abs/2407.19310 (2024) - 2023
- [j24]Tomasz Tarasiewicz
Multitemporal and Multispectral Data Fusion for Super-Resolution of Sentinel-2 Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-19 (2023) - [c85]Tomasz Tarasiewicz
Graph-Based Representation for Multi-image Super-Resolution. GbRPR 2023: 149-159 - [c84]Jakub Sadel
Genetic Structural NAS: A Neural Network Architecture Search with Flexible Slot Connections. GECCO Companion 2023: 79-80 - [c83]Michal Kawulok, Pawel Kowaleczko, Maciej Ziaja
Understanding the Value of Hyperspectral Image Super-Resolution from Prisma Data. IGARSS 2023: 1489-1492 - [c82]Maciej Ziaja
Hyperspectral Image Pansharpening: The Prisma Case Study. IGARSS 2023: 1633-1636 - [c81]Krzysztof Walas, Marcin Cwiek, Tomasz Strzalka, Marek Wiejak, Piotr Bosowski, Michal Kawulok, Mateusz Przeliorz, Dominik Pieczynski, Bartosz Ptak, Krzysztof Stezala, Michal Bidzinski, Marek Kraft:
Cognition: Distributed Data Processing System for Lunar Activities. IGARSS 2023: 2010-2013 - [c80]Piotr Bosowski, Jakub Sadel
A Sequential Approach for On-board Rock Detection from Lunar Images. IGARSS 2023: 4195-4197 - [c79]Pawel Benecki, Daniel Kostrzewa, Michal Kawulok:
Perceptual Loss for Training Multi-Image Super-Resolution. IGARSS 2023: 6330-6333 - [c78]Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa:
Unbiased Validation of Hyperspectral Unmixing Algorithms. IGARSS 2023: 7344-7347 - [c77]Bartlomiej Pogodzinski, Tomasz Tarasiewicz, Michal Kawulok:
Transformer-based spectro-temporal fusion for Sentinel-2 super-resolution. IWSSIP 2023: 1-5 - [i14]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) - [i13]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) - 2022
- [j23]Lukasz Tulczyjew
Graph Neural Networks Extract High-Resolution Cultivated Land Maps From Sentinel-2 Image Series. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j22]Lukasz Tulczyjew
A Multibranch Convolutional Neural Network for Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [c76]Jakub Adler, Jolanta Kawulok
Toward Understanding the Impact of Input Data for Multi-Image Super-Resolution. ACIIDS (2) 2022: 329-342 - [c75]Jakub Nalepa
Fusing Deep Learning with Support Vector Machines to Detect COVID-19 in X-Ray Images. ACIIDS (Companion) 2022: 340-353 - [c74]Jolanta Kawulok, Michal Kawulok:
A genetic algorithm for classifying metagenomic data. GECCO Companion 2022: 59-60 - [c73]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 - [c72]Wojciech Dudzik, Jakub Nalepa, Michal Kawulok:
Cascades of evolutionary support vector machines. GECCO Companion 2022: 240-243 - [c71]Tomasz Jastrzab
Particle Swarm Optimization Configures the Route Minimization Algorithm. ICCS (1) 2022: 80-87 - [c70]Jakub Nalepa, Bertrand Le Saux, Nicolas Longépé, Lukasz Tulczyjew, Michal Myller, Michal Kawulok, Krzysztof Smykala
The Hyperview Challenge: Estimating Soil Parameters from Hyperspectral Images. ICIP 2022: 4268-4272 - [c69]Maciej Ziaja
Data Augmentation for Multi-Image Super-Resolution. IGARSS 2022: 119-122 - [c68]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 - [c67]Bartosz Grabowski, Maciej Ziaja
Are Cloud Detection U-Nets Robust Against in-Orbit Image Acquisition Conditions? IGARSS 2022: 239-242 - [c66]Tomasz Tarasiewicz, Jakub Nalepa, Michal Kawulok:
Semi-Simulated Training Data for Multi-Image Super-Resolution. IGARSS 2022: 481-484 - [i12]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) - [i11]Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa:
A Multibranch Convolutional Neural Network for Hyperspectral Unmixing. CoRR abs/2208.02361 (2022) - [i10]Pawel Kowaleczko, Tomasz Tarasiewicz, Maciej Ziaja
MuS2: A Benchmark for Sentinel-2 Multi-Image Super-Resolution. CoRR abs/2210.02745 (2022) - [i9]Bartosz Grabowski, Maciej Ziaja
Self-Configuring nnU-Nets Detect Clouds in Satellite Images. CoRR abs/2210.13659 (2022) - 2021
- [j21]Wojciech Dudzik
Evolving data-adaptive support vector machines for binary classification. Knowl. Based Syst. 227: 107221 (2021) - [j20]Lukasz Tulczyjew
Unsupervised Feature Learning Using Recurrent Neural Nets for Segmenting Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 18(12): 2142-2146 (2021) - [j19]Jakub Nalepa
Towards On-Board Hyperspectral Satellite Image Segmentation: Understanding Robustness of Deep Learning through Simulating Acquisition Conditions. Remote. Sens. 13(8): 1532 (2021) - [j18]Jakub Nalepa
Deep Ensembles for Hyperspectral Image Data Classification and Unmixing. Remote. Sens. 13(20): 4133 (2021) - [c65]Tomasz Tarasiewicz
A Graph Neural Network For Multiple-Image Super-Resolution. ICIP 2021: 1824-1828 - [c64]Michal Kawulok, Tomasz Tarasiewicz
Deep Learning for Multiple-Image Super-Resolution of Sentinel-2 Data. IGARSS 2021: 3885-3888 - [c63]Bartosz Grabowski
Towards Robust Cloud Detection in Satellite Images Using U-Nets. IGARSS 2021: 4099-4102 - 2020
- [j17]Jakub Nalepa
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors. Artif. Intell. Medicine 102: 101769 (2020) - [j16]Jakub Nalepa
Training- and Test-Time Data Augmentation for Hyperspectral Image Segmentation. IEEE Geosci. Remote. Sens. Lett. 17(2): 292-296 (2020) - [j15]Michal Kawulok
Deep Learning for Multiple-Image Super-Resolution. IEEE Geosci. Remote. Sens. Lett. 17(6): 1062-1066 (2020) - [j14]Jakub Nalepa
Transfer Learning for Segmenting Dimensionally Reduced Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 17(7): 1228-1232 (2020) - [c62]Jolanta Kawulok
Metagenomic Clustering in Search of Common Origin. BIOINFORMATICS 2020: 218-225 - [c61]Tomasz Tarasiewicz, Michal Kawulok, Jakub Nalepa:
Lightweight U-Nets for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2020: 3-14 - [c60]Tomasz Tarasiewicz
Skinny: A Lightweight U-Net For Skin Detection And Segmentation. ICIP 2020: 2386-2390 - [c59]Jakub Nalepa, Wojciech Dudzik, Michal Kawulok:
Memetic Evolution of Training Sets with Adaptive Radial Basis Kernels for Support Vector Machines. ICPR 2020: 5503-5510 - [c58]Michal Kawulok, Pawel Benecki
Evaluating Super-Resolution of Satellite Images: A Proba-V Case Study. IGARSS 2020: 641-644 - [c57]Jakub Nalepa, Lukasz Tulczyjew, Michal Myller, Michal Kawulok:
Hyperspectral Image Classification Using Spectral-Spatial Convolutional Neural Networks. IGARSS 2020: 866-869 - [c56]Michal Myller
Selecting Features from Time Series Using Attention-Based Recurrent Neural Networks. S+SSPR 2020: 87-97 - [c55]Jakub Nalepa
Multiple-Image Super-Resolution Using Deep Learning and Statistical Features. S+SSPR 2020: 261-271
2010 – 2019
- 2019
- [j13]Jakub Nalepa
Selecting training sets for support vector machines: a review. Artif. Intell. Rev. 52(2): 857-900 (2019) - [j12]Pablo Ribalta Lorenzo, Jakub Nalepa
Segmenting brain tumors from FLAIR MRI using fully convolutional neural networks. Comput. Methods Programs Biomed. 176: 135-148 (2019) - [j11]Jakub Nalepa, Michal Marcinkiewicz, Michal Kawulok:
Data Augmentation for Brain-Tumor Segmentation: A Review. Frontiers Comput. Neurosci. 13: 83 (2019) - [j10]Jakub Nalepa
Validating Hyperspectral Image Segmentation. IEEE Geosci. Remote. Sens. Lett. 16(8): 1264-1268 (2019) - [c54]Daniel Kostrzewa
Super-Resolution Reconstruction Using Deep Learning: Should We Go Deeper? BDAS 2019: 204-216 - [c53]Aleksandra Kardas, Michal Kawulok, Jakub Nalepa:
On Evolutionary Classification Ensembles. CEC 2019: 2974-2981 - [c52]Szymon Piechaczek, Michal Kawulok
Memetic Evolution of Classification Ensembles. EvoApplications 2019: 299-307 - [c51]Wojciech Dudzik, Michal Kawulok, Jakub Nalepa:
Evolutionarily-tuned support vector machines. GECCO (Companion) 2019: 165-166 - [c50]Jakub Nalepa, Marcin Cwiek, Wojciech Dudzik, Michal Kawulok, Michael P. Hayball, Grzegorz Mrukwa, Szymon Piechaczek, Pablo Ribalta Lorenzo, Michal Marcinkiewicz, Barbara Bobek-Billewicz
Data Augmentation via Image Registration. ICIP 2019: 4250-4254 - [c49]Wojciech Dudzik, Michal Kawulok, Jakub Nalepa:
Optimizing Training Data and Hyperparameters of Support Vector Machines Using a Memetic Algorithm. ICMMI 2019: 229-238 - [c48]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 - [c47]Michal Marcinkiewicz, Michal Kawulok, Jakub Nalepa:
Segmentation of Multispectral Data Simulated from Hyperspectral Imagery. IGARSS 2019: 3336-3339 - [i8]Michal Kawulok, Pawel Benecki, Szymon Piechaczek, Krzysztof Hrynczenko, Daniel Kostrzewa, Jakub Nalepa:
Deep Learning for Multiple-Image Super-Resolution. CoRR abs/1903.00440 (2019) - [i7]Jakub Nalepa, Michal Myller, Michal Kawulok:
Hyperspectral Data Augmentation. CoRR abs/1903.05580 (2019) - [i6]Michal Kawulok, Szymon Piechaczek, Krzysztof Hrynczenko, Pawel Benecki
On training deep networks for satellite image super-resolution. CoRR abs/1906.06697 (2019) - [i5]Jakub Nalepa, Michal Myller, Michal Kawulok:
Transfer Learning for Segmenting Dimensionally-Reduced Hyperspectral Images. CoRR abs/1906.09631 (2019) - [i4]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) - [i3]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
- [c46]Michal Kawulok
Towards Robust Evaluation of Super-Resolution Satellite Image Reconstruction. ACIIDS (1) 2018: 476-486 - [c45]Jakub Nalepa, Michal Myller, Szymon Piechaczek, Krzysztof Hrynczenko
Genetic Selection of Training Sets for (Not Only) Artificial Neural Networks. BDAS 2018: 194-206 - [c44]Daniel Kostrzewa
B4MultiSR: A Benchmark for Multiple-Image Super-Resolution Reconstruction. BDAS 2018: 361-375 - [c43]Jolanta Kawulok, Michal Kawulok:
Environmental Metagenome Classification for Soil-based Forensic Analysis. BIOINFORMATICS 2018: 182-187 - [c42]Michal Kawulok
Towards Evolutionary Super-Resolution. EvoApplications 2018: 480-496 - [c41]Jakub Nalepa
Evolvable Deep Features. EvoApplications 2018: 497-505 - [c40]Krzysztof Pawelczyk, Michal Kawulok, Jakub Nalepa:
Genetically-trained deep neural networks. GECCO (Companion) 2018: 63-64 - [c39]Michal Kawulok, Pawel Benecki
Evolving imaging model for super-resolution reconstruction. GECCO (Companion) 2018: 284-285 - [c38]Michal Kawulok, Daniel Kostrzewa, Pawel Benecki, Lukasz Skonieczny:
Optimizing Super-resolution Reconstruction using a Genetic Algorithm. ICAART (2) 2018: 599-605 - [c37]Jakub Nalepa, Michael P. Hayball, Stephen J. Brown, Michal Kawulok, Janusz Szymanek:
Extracting Biomarkers from Dynamic Images - Approaches and Challenges. ICPRAM 2018: 520-525 - [c36]Wojciech Dudzik, Jakub Nalepa, Michal Kawulok:
Automated Optimization of Non-linear Support Vector Machines for Binary Classification. INCoS 2018: 504-513 - [i2]Jakub Nalepa, Michal Myller, Michal Kawulok:
Validating Hyperspectral Image Segmentation. CoRR abs/1811.03707 (2018) - 2017
- [c35]Maksym Walczak, Izabela Burda, Jakub Nalepa, Michal Kawulok
Segmenting Lungs from Whole-Body CT Scans. BDAS 2017: 403-414 - [c34]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 - [c33]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 - [c32]Jakub Nalepa, Michal Kawulok, Wojciech Dudzik
Tuning and Evolving Support Vector Machine Models. ICMMI 2017: 418-428 - [c31]Michal Kawulok, Jakub Nalepa, Wojciech Dudzik
An Alternating Genetic Algorithm for Selecting SVM Model and Training Set. MCPR 2017: 94-104 - 2016
- [j9]Michal Kawulok
Hybrid adaptation for detecting skin in color images. Intell. Data Anal. 20(s1): S121-S139 (2016) - [j8]Jakub Nalepa
Adaptive memetic algorithm enhanced with data geometry analysis to select training data for SVMs. Neurocomputing 185: 113-132 (2016) - [j7]Tomasz Grzejszczak
Hand landmarks detection and localization in color images. Multim. Tools Appl. 75(23): 16363-16387 (2016) - [c30]Maciej Papiez, Michal Kawulok
Manifold Learning for Hand Pose Recognition: Evaluation Framework. BDAS 2016: 704-715 - [c29]Jakub Nalepa, Michal Kawulok
The Smaller, the Better: Selecting Refined SVM Training Sets Using Adaptive Memetic Algorithm. GECCO (Companion) 2016: 165-166 - [c28]Michal Kawulok
In Search of Truth: Analysis of Smile Intensity Dynamics to Detect Deception. IBERAMIA 2016: 325-337 - 2015
- [c27]Jakub Nalepa
Towards parameter-less support vector machines. ACPR 2015: 211-215 - [c26]Michal Kawulok
Towards robust SVM training from weakly labeled large data sets. ACPR 2015: 464-468 - [c25]Jakub Nalepa
Real-Time People Counting from Depth Images. BDAS 2015: 387-397 - [c24]Krystian Radlak
Adaptive Vision Studio - Educational tool for image processing learning. FIE 2015: 1-8 - [c23]Jakub Nalepa
Adaptive memetic algorithm for the job shop scheduling problem. IJCNN 2015: 1-8 - 2014
- [j6]Michal Kawulok
Self-adaptive algorithm for segmenting skin regions. EURASIP J. Adv. Signal Process. 2014: 170 (2014) - [j5]Michal Kawulok
Spatial-based skin detection using discriminative skin-presence features. Pattern Recognit. Lett. 41: 3-13 (2014) - [c22]Jakub Nalepa
Fast and Accurate Hand Shape Classification. BDAS 2014: 364-373 - [c21]Michal Kawulok, Jolanta Kawulok, Jakub Nalepa, Bogdan Smolka
Self-Adaptive Skin Segmentation in Color Images. CIARP 2014: 96-103 - [c20]Jakub Nalepa
Adaptive Genetic Algorithm to Select Training Data for Support Vector Machines. EvoApplications 2014: 514-525 - [c19]Jakub Nalepa
A memetic algorithm to select training data for support vector machines. GECCO 2014: 573-580 - [c18]Michal Kawulok
Dynamically Adaptive Genetic Algorithm to Select Training Data for SVMs. IBERAMIA 2014: 242-254 - [c17]Krzysztof Pawelczyk, Michal Kawulok:
Head Pose Estimation Relying on Appearance-Based Nose Region Analysis. ICCVG 2014: 510-517 - [c16]Michal Kawulok, Jakub Nalepa:
Hand pose estimation using support vector machines with evolutionary training. IWSSIP 2014: 87-90 - [c15]Krystian Radlak
Gaze direction estimation from static images. MMSP 2014: 1-4 - [i1]Jakub Nalepa, Michal Kawulok:
Real-Time Hand Shape Classification. CoRR abs/1402.2673 (2014) - 2013
- [c14]Tomasz Grzejszczak
Real-Time Wrist Localization in Hand Silhouettes. CORES 2013: 439-449 - [c13]Michal Kawulok
Fast propagation-based skin regions segmentation in color images. FG 2013: 1-7 - [c12]Michal Kawulok
Skin detection using spatial analysis with adaptive seed. ICIP 2013: 3720-3724 - [c11]Jakub Nalepa
Wrist Localization in Color Images for Hand Gesture Recognition. ICMMI 2013: 79-86 - [c10]Jakub Nalepa
Parallel Hand Shape Classification. ISM 2013: 401-402 - 2012
- [j4]Michal Kawulok
Discriminative Textural Features for Image and Video Colorization. IEICE Trans. Inf. Syst. 95-D(7): 1722-1730 (2012) - [c9]Michal Kawulok:
Skin Detection Using Color and Distance Transform. ICCVG 2012: 449-456 - [c8]Michal Kawulok
Texture Analysis for Skin Probability Maps Refinement. MCPR 2012: 75-84 - [c7]Michal Kawulok
Support Vector Machines Training Data Selection Using a Genetic Algorithm. SSPR/SPR 2012: 557-565 - 2011
- [j3]Michal Kawulok
Texture-adaptive image colorization framework. EURASIP J. Adv. Signal Process. 2011: 99 (2011) - [j2]Michal Kawulok
Supervised relevance maps for increasing the distinctiveness of facial images. Pattern Recognit. 44(4): 929-939 (2011) - [c6]Michal Kawulok, Jolanta Kawulok, Bogdan Smolka:
Image Colorization Using Discriminative Textural Features. MVA 2011: 198-201 - [p1]Michal Kawulok, Jolanta Kawulok, Bogdan Smolka
Textural Features for Scribble-Based Image Colorization. Computer Recognition Systems 4 2011: 269-278 - 2010
- [j1]Michal Kawulok
Energy-based blob analysis for improving precision of skin segmentation. Multim. Tools Appl. 49(3): 463-481 (2010) - [c5]Michal Kawulok
Competitive image colorization. ICIP 2010: 405-408
2000 – 2009
- 2009
- [c4]Jing Wu, William A. P. Smith
Extracting gender discriminating features from facial needle-maps. ICIP 2009: 2449-2452 - 2008
- [c3]Michal Kawulok
Optimization of Face Relevance Maps with Total Classification Error Minimization. ICIAR 2008: 935-944 - [c2]Michal Kawulok
Dynamic Skin Detection in Color Images for Sign Language Recognition. ICISP 2008: 112-119 - 2004
- [c1]Michal Kawulok:
Masks and Eigenvectors weights for Eigenfaces Method Improvement. ICCVG 2004: 522-527
Coauthor Index
[j28] [j27] [j26] [j25] [j24] [c84] [c83] [c82] [c78] [i14] [i13] [j23] [j22] [c75] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [i12] [i11] [i10] [i9] [j21] [j20] [j19] [j18] [c65] [c64] [c63] [j17] [j16] [j15] [j14] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [j13] [j12] [j11] [j10] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [i8] [i7] [i6] [i5] [i4] [i3] [c46] [c45] [c41] [c40] [c37] [c36] [i2] [c35] [c34] [c33] [c32] [c31] [j9] [j8] [c30] [c29] [c28] [c27] [c26] [c25] [c23] [j6] [j5] [c22] [c21] [c20] [c19] [c18] [c16] [i1] [c14] [c12] [c11] [c10] [c7]
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