13000 / 13133 - Publications - 2018

13000 / 13133 - Department of Cybernetics

Publications 2018

Papers in WoS Journals

SPANIEL, F., et al. Relapse in schizophrenia: Definitively not a bolt from the blue. Neuroscience Letters. 2018, 669 68-74. ISSN 0304-3940. DOI 10.1016/j.neulet.2016.04.044.

JEŽEK, F. and J. KOFRANEK. Modern and traditional approaches combined into an effective gray-box mathematical model of full-blood acid-base. Theoretical Biology and Medical Modelling. 2018, 15(1), ISSN 1742-4682. DOI 10.1186/s12976-018-0086-9.

PIDNEBESNA, A., D. TOMEČEK, and J. HLINKA. BRAD: Software for BRain Activity Detection from hemodynamic response. Computer Methods and Programs in Biomedicine. 2018, 156 113-119. ISSN 0169-2607. DOI 10.1016/j.cmpb.2017.12.021.

ŠTĚPÁNOVÁ, K. and M. VAVREČKA. Estimating number of components in Gaussian mixture model using combination of greedy and merging algorithm. Pattern Analysis and Applications. 2018, 21(1), 181-192. ISSN 1433-7541. DOI 10.1007/s10044-016-0576-5.

DVOŘÁK, J., et al. Simulations of centriole of polarized centrosome as a monopole antenna in immune and viral synapses. JOURNAL OF BUON. 2018, 23(2), 514-521. ISSN 1107-0625.

CHANG, W.Ch., et al. Loss of neuronal network resilience precedes seizures and determines the ictogenic nature of interictal synaptic perturbations. Nature Neuroscience. 2018, 21 1742-1752. ISSN 1097-6256. DOI 10.1038/s41593-018-0278-y.

HOFFMANN, M., et al. Robotic homunculus: Learning of artificial skin representation in a humanoid robot motivated by primary somatosensory cortex. IEEE Transactions on Cognitive and Developmental Systems. 2018, 10(2), 163-176. ISSN 2379-8920. DOI 10.1109/TCDS.2017.2649225.

Papers in Other Journals

VAN ERP, T.G.M., et al. Cortical Brain Abnormalities in 4474 Individuals With Schizophrenia and 5098 Control Subjects via the Enhancing Neuro Imaging Genetics Through Meta Analysis (ENIGMA) Consortium. Biological Psychiatry. 2018, 1-11. ISSN 0006-3223. DOI 10.1016/j.biopsych.2018.04.023.

PECKA, M., et al. Data-driven Policy Transfer with Imprecise Perception Simulation. IEEE Robotics and Automation Letters. 2018, 3(4), 3916-3921. ISSN 2377-3766. DOI 10.1109/LRA.2018.2857927. Available from: ftp://cmp.felk.cvut.cz/pub/cmp/articles/svoboda/Pecka-Zimermann-Petrlik-Svoboda-IEEE-RAL-2018.pdf

Conference Proceedings

HRACHOVINA, M., L. LHOTSKÁ, and M. HUPTYCH. Preprocessing and filtration techniques of BSPM signals in a small-scale study. In: Precision Medicine Powered by pHealth and Connected Health. International Conference on Biomedical and Health Informatics 2017, Thessaloniki, 2017-11-18/2017-11-21. Springer Nature Singapore Pte Ltd., 2018. p. 127-132. 1. vol. 66. ISSN 1680-0737. ISBN 978-981-10-7418-9. DOI 10.1007/978-981-10-7419-6_22.

VÁCLAVEK, J., et al. Learning Analytics Dashboard Analysing First-Year Engineering Students. In: Lifelong Technology-Enhanced Learning. EC-TEL 2018.. THIRTEENTH EUROPEAN CONFERENCE ON TECHNOLOGY ENHANCED LEARNING, Leeds, 2018-09-03/2018-09-06. Springer, Cham, 2018. p. 575-578. Lecture Notes in Computer Science. vol. 11082. ISSN 0302-9743. ISBN 978-3-319-98571-8. DOI 10.1007/978-3-319-98572-5_48.

ŠKOVIERA, R., et al. Teaching robots to imitate a human with no on-teacher sensors. Whatare the key challenges?. In: Towards Intelligent Social Robots: From Naive Robots To Robot Sapiens (Workshops to IEEE/RSJ IROS). Towards Intelligent Socal Robots: From Naive Robots to Robot Sapiens (IEEE/RSJ IROS), Madrid, 2018-10-05. Barcelona: IEEE, 2018. Available from: https://arxiv.org/pdf/1901.08335.pdf

SAIFUTDINOVA, E., et al. Artifact Detection in Multichannel Sleep EEG using Random Forest Classifier. In: 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) - Proceedings. 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Madrid, 2018-12-03/2018-12-06. IEEE, 2018. p. 2803-2805. ISBN 978-1-5386-5488-0. DOI 10.1109/BIBM.2018.8621374. Available from: https://ieeexplore.ieee.org/document/8621374

FOŘTOVÁ, A. and F. JEŽEK. VVER 1000 PRESSURIZER SYSTEM AND CONTROL MODELLING IN DYMOLA. In: Proceedings of the 2018 26th International Conference on Nuclear Engineering. 26th International Conference on Nuclear Engineering, London, 2018-07-22/2018-07-26. New York: American Society of Mechanical Engineers - ASME, 2018. ISBN 978-0-7918-5153-1. DOI 10.1115/ICONE26-81263. Available from: https://asmedigitalcollection.asme.org/ICONE/proceedings/ICONE26/51531/V009T16A017/274883

KONRÁD, J. Transfer learning for question answering on SQuAD. In: HUSNÍK, L., ed. Proceedings of the International Student Scientific Conference Poster – 22/2018. Poster 2018, Praha, 2018-05-10. Praha: Czech Technical University in Prague, 2018. ISBN 978-80-01-06428-3.

MILERSKÁ, I., L. LHOTSKÁ, and M. MACAŠ. Biomechanical Parameters of Muscles, Objective Assessment Using MyotonPRO. In: 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) - Proceedings. 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Madrid, 2018-12-03/2018-12-06. IEEE, 2018. p. 1522-1525. ISBN 978-1-5386-5488-0. DOI 10.1109/BIBM.2018.8621074.

PICHL, J. Dialogue Act Detection Using Contextual Knowledge. In: HUSNÍK, L., ed. Proceedings of the International Student Scientific Conference Poster – 22/2018. Poster 2018, Praha, 2018-05-10. Praha: Czech Technical University in Prague, 2018. ISBN 978-80-01-06428-3.

ŠEJNOVÁ, G., M. TESAŘ, and M. VAVREČKA. Compositional models for VQA: Can neural module networks really count?. In: Procedia Computer Science. BICA 2018: 9th Annual International Conference on Biologically Inspired Cognitive Architectures, Praha, 2018-08-22/2018-08-24. New York: Elsevier B.V., 2018. p. 481-487. ISSN 1877-0509. DOI 10.1016/j.procs.2018.11.110. Available from: https://ac.els-cdn.com/S1877050918323986/1-s2.0-S1877050918323986-main.pdf?_tid=a4ba8c06-ab27-49ab-b27e-28c3ef34031c&acdnat=1549358710_448d7843295e9400663948d0d99401d8

GRIMOVÁ, N., M. MACAŠ, and V. GERLA. Addressing the Cold Start Problem in Active Learning Approach Used For Semi-automated Sleep Stages Classification. In: 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) - Proceedings. 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Madrid, 2018-12-03/2018-12-06. IEEE, 2018. p. 2249-2253. ISBN 978-1-5386-5488-0. DOI 10.1109/BIBM.2018.8621434. Available from: https://ieeexplore.ieee.org/document/8621434

PICHL, J., et al. Alquist 2.0: Alexa Prize Socialbot Based on Sub-Dialogue Models. In: 2nd Proceedings of Alexa Prize (Alexa Prize 2018). AWS re:Invent 2018, Las Vegas, NV, 2018-11-26/2018-11-30. Amazon, 2018. p. 49-66.

KUDLÁČEK, J., et al. Transition to seizure via critical slowing in a chronic model of temporal lobe epilepsy. In: 11th FENS Forum of Neuroscience. Berlin, 2018-07-07/2018-07-11. Kenes Group, 2018. p. 1900. Available from: https://w3.kenes-group.com/abstractbook/data/HtmlApp/main.html

LISTÍK, V. Image reconstruction from ResNet semantic feature vector. In: HUSNÍK, L., ed. Proceedings of the International Student Scientific Conference Poster – 22/2018. Poster 2018, Praha, 2018-05-10. Praha: Czech Technical University in Prague, 2018. ISBN 978-80-01-06428-3.

GERLA, V., et al. Hybrid Hierarchical Clustering Algorithm Used for Large Datasets: A Pilot Study on Long-Term Sleep Data. In: Precision Medicine Powered by pHealth and Connected Health. International Conference on Biomedical and Health Informatics 2017, Thessaloniki, 2017-11-18/2017-11-21. Springer Nature Singapore Pte Ltd., 2018. p. 3-7. 1. vol. 66. ISSN 1680-0737. ISBN 978-981-10-7418-9. DOI 10.1007/978-981-10-7419-6_1.

GERLA, V., et al. Expert-in-the-loop Learning for Sleep EEG Data. In: 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) - Proceedings. 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Madrid, 2018-12-03/2018-12-06. IEEE, 2018. p. 2590-2596. ISBN 978-1-5386-5488-0. DOI 10.1109/BIBM.2018.8621557. Available from: https://ieeexplore.ieee.org/document/8621557

NAVARA, M. and J. ŠINDELÁŘ. Two envelope problem as a game of two players. In: Applications of Algebra 22. Zakopane, 2018-03-05/2018-03-10. Czestochowa: Jan Dlugosz University, 2018. p. 31.

HVĚZDA, J., M. KULICH, and L. PŘEUČIL. Improved Discrete RRT for Coordinated Multi-robot Planning. In: Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - (Volume 2). International Conference on Informatics in Control, Automation and Robotics, Porto, 2018-07-29/2018-07-31. Madeira: SciTePress, 2018. p. 171-179. ISBN 978-989-758-321-6. DOI 10.5220/0006865901710179. Available from: http://www.scitepress.org/PublicationsDetail.aspx?ID=ppwUqsGaX18=&t=1

HVĚZDA, J., et al. Context-Aware Route Planning for Automated Warehouses. In: Proceedings of 2018 21st International Conference on Intelligent Transportation Systems (ITSC). 2018 IEEE Intelligent Transportation Systems Conference, Maui, 2018-11-04/2018-11-07. IEEE Intelligent Transportation Systems Society, 2018. p. 2955-2960. ISSN 2153-0017. ISBN 978-1-7281-0323-5. DOI 10.1109/ITSC.2018.8569712.

BREZANY, P.B., et al. Towards precision brain disorder rehabilitation. In: 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO). Zagreb: Croatian Society SMFE, 2018. p. 228-233. DOI 10.23919/MIPRO.2018.8400043. Available from: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8400043&isnumber=8399814

MACAŠ, M., et al. Active Learning for Semiautomatic Sleep Staging and Transitional EEG Segments. In: 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) - Proceedings. 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Madrid, 2018-12-03/2018-12-06. IEEE, 2018. p. 2621-2627. ISBN 978-1-5386-5488-0. DOI 10.1109/BIBM.2018.8621339. Available from: https://ieeexplore.ieee.org/document/8621339

TESAŘ, M. and M. VAVREČKA. Implementace učení pomocí demonstrace v průmyslové úloze. In: Kognice a umělý život 2018. Kognice a umělý život XVIII, Brno, 2018-05-30/2018-06-01. Brno: FLOW, 2018. p. 78-79. ISBN 978-80-88123-24-8. Available from: https://www.phil.muni.cz/media/3078302/sbornikprispevku_kuz18.pdf

ŠEJNOVÁ, G. and M. VAVREČKA. Visual Reasoning with Natural Language in Robotics. In: Kognice a umělý život 2018. Kognice a umělý život XVIII, Brno, 2018-05-30/2018-06-01. Brno: FLOW, 2018. p. 67-68. ISBN 978-80-88123-24-8. Available from: https://www.phil.muni.cz/media/3078302/sbornikprispevku_kuz18.pdf

Dissertations

KUBELKA, V. Improving perception and locomotion capabilities of mobile robots in urban search and rescue missions. Praha: Defense date 2018-11-14. PhD Thesis. ČVUT FEL, Katedra kybernetiky - Centrum strojového vnímání. Supervised by M. REINŠTEIN and T. SVOBODA.

13133 / 13162 - Visual Recognition Group

Publications 2018

Papers in WoS Journals

FRANC, V. and J. ČECH. Learning CNNs from Weakly Annotated Facial Images. Image and Vision Computing. 2018, 77 10-20. ISSN 0262-8856. DOI 10.1016/j.imavis.2018.06.011.

LUKEŽIČ, A., et al. Discriminative Correlation Filter Tracker with Channel and Spatial Reliability. International Journal of Computer Vision. 2018, 126(7), 671-688. ISSN 0920-5691. DOI 10.1007/s11263-017-1061-3.

TOLIAS, G. and O. CHUM. Efficient Contour Match Kernel. Image and Vision Computing. 2018, 76 14-26. ISSN 0262-8856. DOI 10.1016/j.imavis.2018.04.006.

BARÁTH, D. and L. HAJDER. Efficient Recovery of Essential Matrix From Two Affine Correspondences. IEEE Transactions on Image Processing. 2018, 27(11), 5328-5337. ISSN 1057-7149. DOI 10.1109/TIP.2018.2849866.

KILEEL, J., et al. Distortion Varieties. Foundations of Computational Mathematics. 2018, 18(4), 1043-1071. ISSN 1615-3375. DOI 10.1007/s10208-017-9361-0.

ŠRAJER, F., Z. KÚKELOVÁ, and A. FITZGIBBON. A benchmark of selected algorithmic differentiation tools on some problems in computer vision and machine learning. Optimization Methods and Software. 2018, 2018(33), 889-906. ISSN 1029-4937. DOI 10.1080/10556788.2018.1435651. Available from: https://www.semanticscholar.org/paper/A-benchmark-of-selected-algorithmic-differentiation-Srajer-Kukelova/36b377c6f5e096728005967e7a2c2a4f0951629e

BARÁTH, D. Efficient energy-based topological outlier rejection. Computer Vision and Image Understanding. 2018, 174 70-81. ISSN 1077-3142. DOI 10.1016/j.cviu.2018.07.002.

Books, Book Chapters and Lecture Notes

KÚKELOVÁ, Z. and J. ŠKOVIEROVÁ, eds. Proceedings of the 23rd Computer Vision Winter Workshop. Český Krumlov, 2018-02-05/2018-02-07. Praha: Czech Society for Cybernetics and Informatics, 2018. ISBN 978-80-270-3395-9. Available from: http://cmp.felk.cvut.cz/cvww2018/

BONNET, P., et al. Plant Identification: Experts vs. Machines in the Era of Deep Learning. In: Multimedia Tools and Applications for Environmental & Biodiversity Informatics. Springer, Cham, 2018. p. 131-149. ISBN 978-3-319-76444-3. DOI 10.1007/978-3-319-76445-0_8.

Conference Proceedings

MUSTANIEMI, J., et al. Fast Motion Deblurring for Feature Detection and Matching Using Inertial Measurements. In: 2018 24rd International Conference on Pattern Recognition (ICPR). Beijing, 2018-08-20/2018-08-24. Piscataway, NJ: IEEE, 2018. p. 3068-3073. ISSN 1051-4651. ISBN 978-1-5386-3788-3. DOI 10.1109/ICPR.2018.8546041.

BARÁTH, D. and J. MATAS. Graph-Cut RANSAC. In: CVPR 2018: Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition. IEEE Conference on Computer Vision and Pattern Recognition 2018, Salt Lake City, 2018-06-19/2018-06-21. Piscataway, NJ: IEEE, 2018. p. 6733-6741. ISSN 2575-7075. ISBN 978-1-5386-6420-9. DOI 10.1109/CVPR.2018.00704. Available from: http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf

SHEKHOVTSOV, O. and B. FLACH. Normalization of Neural Networks using Analytic Variance Propagation. In: KÚKELOVÁ, Z. and J. ŠKOVIEROVÁ, eds. Proceedings of the 23rd Computer Vision Winter Workshop. CVWW 2018: Computer Vision Winter Workshop, Český Krumlov, 2018-02-05/2018-02-07. Praha: Czech Society for Cybernetics and Informatics, 2018. p. 45-53. ISBN 978-80-270-3395-9. Available from: https://arxiv.org/abs/1803.10560

ISCEN, A., et al. Mining on Manifolds: Metric Learning without Labels. In: CVPR 2018: Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition. IEEE Conference on Computer Vision and Pattern Recognition 2018, Salt Lake City, 2018-06-19/2018-06-21. Piscataway, NJ: IEEE, 2018. p. 7642-7651. ISSN 2575-7075. ISBN 978-1-5386-6420-9. DOI 10.1109/CVPR.2018.00797. Available from: https://ieeexplore.ieee.org/document/8578895

RAZINKOV, E., I. SAVELEVA, and J. MATAS. ALFA: Agglomerative Late Fusion Algorithm for Object Detection. In: 2018 24rd International Conference on Pattern Recognition (ICPR). Beijing, 2018-08-20/2018-08-24. Piscataway, NJ: IEEE, 2018. p. 2594-2599. ISSN 1051-4651. ISBN 978-1-5386-3788-3. DOI 10.1109/ICPR.2018.8545182.

KUPYN, O., et al. DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks. In: CVPR 2018: Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition. IEEE Conference on Computer Vision and Pattern Recognition 2018, Salt Lake City, 2018-06-19/2018-06-21. Piscataway, NJ: IEEE, 2018. p. 8183-8192. ISSN 2575-7075. ISBN 978-1-5386-6420-9. Available from: http://openaccess.thecvf.com/content_cvpr_2018/papers/Kupyn_DeblurGAN_Blind_Motion_CVPR_2018_paper.pdf

ISCEN, A. and O. CHUM. Local Orthogonal-Group Testing. In: FERRARI, V., et al., eds. ECCV2018: Proceedings of the European Conference on Computer Vision, Part II. ECCV2018: European Conference on Computer Vision, Munich, 2018-09-08/2018-09-14. Cham: Springer International Publishing, 2018. p. 460-476. Image Processing, Computer Vision, Pattern Recognition, and Graphics. vol. 11206. ISSN 0302-9743. ISBN 978-3-030-01215-1. DOI 10.1007/978-3-030-01216-8_28.

TOURANI, S., et al. MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models. In: ECCV2018: Proceedings of the European Conference on Computer Vision, Part IV. ECCV2018: European Conference on Computer Vision, Munich, 2018-09-08/2018-09-14. Berlin: Springer-Verlag, 2018. p. 264-281. Lecture Notes in Computer Science. vol. 11208. ISSN 0302-9743. ISBN 978-3-030-01224-3. DOI 10.1007/978-3-030-01225-0_16.

GOMEZ, R., et al. ICDAR2017 Robust Reading Challenge on COCO-Text. In: 14th IAPR International Conference on Document Analysis and Recognition (ICDAR). The 14th IAPR International Conference on Document Analysis and Recognition, Kyoto, 2017-11-09/2017-11-15. Los Alamitos: IEEE Computer Society, 2018. p. 1435-1443. ISSN 1520-5363. ISBN 978-1-5386-3586-5. DOI 10.1109/ICDAR.2017.234.

ŠPETLÍK, R., J. ČECH, and J. MATAS. Non-contact reflectance photoplethysmography: Progress, limitations, and myths. In: FG 2018: Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition. FG2018: 13th IEEE International Conference on Automatic Face and Gesture Recognition, Xi’an, 2018-05-15/2018-05-19. Piscataway: IEEE, 2018. p. 702-709. ISSN 2326-5396. ISBN 978-1-5386-2335-0. DOI 10.1109/FG.2018.00111. Available from: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8373904

LARSSON, V., Z. KÚKELOVÁ, and Y. ZHENG. Camera Pose Estimation with Unknown Principal Point. In: CVPR 2018: Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition. IEEE Conference on Computer Vision and Pattern Recognition 2018, Salt Lake City, 2018-06-19/2018-06-21. Piscataway, NJ: IEEE, 2018. p. 2984-2992. ISSN 2575-7075. ISBN 978-1-5386-6420-9. DOI 10.1109/CVPR.2018.00315. Available from: http://openaccess.thecvf.com/content_cvpr_2018/html/Larsson_Camera_Pose_Estimation_CVPR_2018_paper.html

HODAŇ, T., et al. BOP: Benchmark for 6D Object Pose Estimation. In: ECCV2018: Proceedings of the European Conference on Computer Vision, Part X. ECCV2018: European Conference on Computer Vision, Munich, 2018-09-08/2018-09-14. Springer, Cham, 2018. p. 19-35. Lecture Notes in Computer Vision. vol. 11214. ISSN 0302-9743. ISBN 978-3-030-01248-9. DOI 10.1007/978-3-030-01249-6_2.

ŠPETLÍK, R., et al. Visual Heart Rate Estimation with Convolutional Neural Network. In: BMVC2018: Proceedings of the British Machine Vision Conference. BMVC2018: British Machine Vision Conference, Newcastle upon Tyne, 2018-09-03/2018-09-06. London: British Machine Vision Association, 2018. Available from: http://bmvc2018.org/contents/papers/0271.pdf

PRITTS, J., et al. Radially-Distorted Conjugate Translations. In: CVPR 2018: Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition. IEEE Conference on Computer Vision and Pattern Recognition 2018, Salt Lake City, 2018-06-19/2018-06-21. Piscataway, NJ: IEEE, 2018. p. 1993-2001. ISSN 2575-7075. ISBN 978-1-5386-6420-9. DOI 10.1109/CVPR.2018.00213. Available from: http://openaccess.thecvf.com/content_cvpr_2018/papers_backup/Pritts_Radially-Distorted_Conjugate_Translations_CVPR_2018_paper.pdf

LARSSON, V., et al. Beyond Gröbner Bases: Basis Selection for Minimal Solvers. In: CVPR 2018: Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition. IEEE Conference on Computer Vision and Pattern Recognition 2018, Salt Lake City, 2018-06-19/2018-06-21. Piscataway, NJ: IEEE, 2018. p. 3945-3954. ISSN 2575-7075. ISBN 978-1-5386-6420-9. DOI 10.1109/CVPR.2018.00415. Available from: http://openaccess.thecvf.com/content_cvpr_2018/papers_backup/Larsson_Beyond_GroBner_Bases_CVPR_2018_paper.pdf

RADENOVIĆ, F., G. TOLIAS, and O. CHUM. Deep Shape Matching. In: ECCV2018: Proceedings of the European Conference on Computer Vision, Part V. ECCV2018: European Conference on Computer Vision, Munich, 2018-09-08/2018-09-14. Springer, Cham, 2018. p. 774-791. Lecture Notes in Computer Science. vol. 11209. ISSN 0302-9743. ISBN 978-3-030-01227-4. DOI 10.1007/978-3-030-01228-1_46.

JAHODA, P., et al. Detecting decision ambiguity from facial images. In: FG 2018: Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition. FG2018: 13th IEEE International Conference on Automatic Face and Gesture Recognition, Xi’an, 2018-05-15/2018-05-19. Piscataway: IEEE, 2018. p. 499-503. ISSN 2326-5396. ISBN 978-1-5386-2335-0. DOI 10.1109/FG.2018.00080. Available from: http://cmp.felk.cvut.cz/ftp/articles/cech/Jahoda-FG-2018.pdf

NEUMANN, L., A. VEDALDI, and A. ZISSERMAN. Relaxed softmax: Efficient confidence auto-calibration for safe pedestrian detection. In: NIPS 2018 Workshop MLITS. Massachusetts: OpenReview.net / University of Massachusetts, 2018.

NAISER, F., M. ŠMÍD, and J. MATAS. Tracking and Re-Identification System for Multiple Laboratory Animals. In: 2018 VAIB (ICPR2018 Workshop). 2018 24rd International Conference on Pattern Recognition (ICPR), Beijing, 2018-08-20/2018-08-24. Edinburgh: University of Edinburg, 2018. Available from: http://homepages.inf.ed.ac.uk/rbf/VAIB18PAPERS/vaib18naiser.pdf

GOËAU, H., et al. Deep learning for plant identification: how the web can compete with human experts. In: Biodiversity Information Science and Standards 2: e25637. PenSoft, 2018. DOI 10.3897/biss.2.25637. Available from: https://biss.pensoft.net/article/25637/list/8/

ŠULC, M., L. PICEK, and J. MATAS. Plant Recognition by Inception Networks with Test-time Class Prior Estimation. In: CAPPELLATO, L., et al., eds. Working Notes of CLEF 2018 - Conference and Labs of the Evaluation Forum. CLEF 2018: Conference and Labs of the Evaluation Forum, Avignon, 2018-09-10/2018-09-14. CEUR-WS.org, 2018. vol. 2125. ISSN 1613-0073. Available from: http://ceur-ws.org/Vol-2125/paper_152.pdf

ISCEN, A., et al. Fast Spectral Ranking for Similarity Search. In: CVPR 2018: Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition. IEEE Conference on Computer Vision and Pattern Recognition 2018, Salt Lake City, 2018-06-19/2018-06-21. Piscataway, NJ: IEEE, 2018. p. 7632-7641. ISSN 2575-7075. ISBN 978-1-5386-6420-9. DOI 10.1109/CVPR.2018.00796. Available from: https://ieeexplore.ieee.org/document/8578894

KART, U., et al. Depth Masked Discriminative Correlation Filter. In: 2018 24rd International Conference on Pattern Recognition (ICPR). Beijing, 2018-08-20/2018-08-24. Piscataway, NJ: IEEE, 2018. p. 2112-2117. ISSN 1051-4651. ISBN 978-1-5386-3788-3. DOI 10.1109/ICPR.2018.8546179.

MISHKIN, D., F. RADENOVIĆ, and J. MATAS. Repeatability Is Not Enough: Learning Affine Regions via Discriminability. In: ECCV2018: Proceedings of the European Conference on Computer Vision, Part IX. ECCV2018: European Conference on Computer Vision, Munich, 2018-09-08/2018-09-14. Springer, Cham, 2018. p. 287-304. Lecture Notes in Computer Vision. vol. 11213. ISSN 0302-9743. ISBN 978-3-030-01239-7. DOI 10.1007/978-3-030-01240-3_18.

RADENOVIĆ, F., et al. Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking. In: CVPR 2018: Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition. IEEE Conference on Computer Vision and Pattern Recognition 2018, Salt Lake City, 2018-06-19/2018-06-21. Piscataway, NJ: IEEE, 2018. p. 5706-5715. ISSN 2575-7075. ISBN 978-1-5386-6420-9. DOI 10.1109/CVPR.2018.00598. Available from: http://cmp.felk.cvut.cz/~radenfil/publications/Radenovic-CVPR18.pdf

SIMEONI, O., et al. Unsupervised object discovery for instance recognition. In: 2018 IEEE Winter Conference on Applications of Computer Vision, WACV 2018. WACV: 2018 IEEE Winter Conference on Applications of Computer Vision, Lake Tahoe, 2018-03-12/2018-02-15. Institute of Electrical and Electronics Engineers Inc, 2018. p. 1745-1754. ISSN 2472-6737. ISBN 978-1-5386-4886-5. DOI 10.1109/WACV.2018.00194.

BARÁTH, D. and J. MATAS. Multi-class Model Fitting by Energy Minimization and Mode-Seeking. In: ECCV2018: Proceedings of the European Conference on Computer Vision, Part XVI. ECCV2018: European Conference on Computer Vision, Munich, 2018-09-08/2018-09-14. Springer, Cham, 2018. p. 229-245. Lecture Notes in Computer Vision. vol. 11220. ISSN 0302-9743. ISBN 978-3-030-01269-4. DOI 10.1007/978-3-030-01270-0_14.

Dissertations

VOJÍŘ, T. Short-Term Visual Object Tracking in Real-Time. Praha: Defense date 2018-02-28. PhD Thesis. ČVUT FEL, Katedra kybernetiky - Centrum strojového vnímání. Supervised by J. MATAS.

Research Reports

RADENOVIĆ, F., et al. Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking. [Research Report] ArXiv, 2018. Report no. arXiv:1803.11285.

13133 / 13163 - Biomedical imaging algorithms

Publications 2018

Papers in WoS Journals

DVOŘÁK, J., et al. Volume estimation from single images: an application to pancreatic islets. Image Analysis and Stereology. 2018, 37(3), 191-204. ISSN 1580-3139. DOI 10.5566/ias.1869.

GLOWACKI, P., et al. Reconstructing Evolving Tree Structures in Time Lapse Sequences by Enforcing Time-Consistency. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2018, 40(3), 755-761. ISSN 0162-8828. DOI 10.1109/TPAMI.2017.2680444.

Conference Proceedings

BOROVEC, J., A. MUNOZ-BARRUTIA, and J. KYBIC. Benchmarking of image registration methods for differently stained histological slides. In: International Conference on Image Processing. Atény, 2018-10-07/2019-01-10. IEEE (Institute of Electrical and Electronics Engineers), 2018. p. 3368-3372. ISSN 2381-8549. ISBN 978-1-4799-7061-2. DOI 10.1109/ICIP.2018.8451040. Available from: https://ieeexplore.ieee.org/document/8451040

KYBIC, J. and J. BOROVEC. Fast registration by boundary sampling and linear programming. In: Medical Image Computing and Computer Assisted Intervention, Part I. Medical Image Computing and Computer Assisted Intervention, Granada, 2018-09-16/2018-09-20. Springer, Cham, 2018. p. 783-791. Lecture Notes in Computer Science. vol. 11070. ISSN 0302-9743. ISBN 978-3-030-00927-4. DOI 10.1007/978-3-030-00928-1_88.

DOS SANTOS PINHEIRO, M. and J. KYBIC. Incremental B-spline deformation model for geometric graph matching. In: 2018 IEEE 15th IEEE International Symposium on Biomedical Imaging (ISBI). International Symposium on Biomedical Imaging, Washington, D.C., 2018-04-04/2018-04-07. New Jersey: IEEE Signal Processing Society, 2018. p. 1079-1082. ISSN 1945-7928. ISBN 978-1-5386-3636-7. DOI 10.1109/ISBI.2018.8363758. Available from: https://ieeexplore.ieee.org/document/8363758

HERING, J., J. KYBIC, and L. LAMBERT. Detecting multiple myeloma via generalized multiple-instance learning. In: SPIE Medical Imaging 2018. Houston, 2018-02-11/2018-02-13. Baltimore: SPIE, 2018. Image Processing. vol. 10574. ISSN 0277-786X. ISBN 978-1-5106-1638-7. DOI 10.1117/12.2293112. Available from: https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10574/105740N/Detecting-multiple-myeloma-via-generalized-multiple-instance-learning/10.1117/12.2293112.short?SSO=1

Dissertations

BOROVEC, J. Automatic analysis of gene expressions in Drosophila microscopy images. Praha: Defense date 2018-07-10. PhD Thesis. ČVUT FEL, Katedra kybernetiky. Supervised by J. KYBIC.

13133 / 13164 - Vision for Robotics and Autonomous Systems

Publications 2018

Papers in WoS Journals

SOMOGYI, E., et al. Which limb is it? Responses to vibrotactile stimulation in early infancy. British Journal of Developmental Psychology. 2018, 36(3), 384-401. ISSN 0261-510X. DOI 10.1111/bjdp.12224.

MOULIN-FRIER, C., et al. DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self. IEEE Transactions on Cognitive and Developmental Systems. 2018, 10(4), 1005-1022. ISSN 2379-8920. DOI 10.1109/TCDS.2017.2754143.

BÁČA, T., et al. Timepix in LEO Orbit onboard the VZLUSAT-1 Nanosatellite: 1-year of Space Radiation Dosimetry Measurements. Journal of Instrumentation. 2018, 13(11), ISSN 1748-0221. DOI 10.1088/1748-0221/13/11/C11010. Available from: http://iopscience.iop.org/article/10.1088/1748-0221/13/11/C11010

Papers in Other Journals

Books, Book Chapters and Lecture Notes

HOFFMANN, M. and R. PFEIFER. Robots as powerful allies for the study of embodied cognition from the bottom up. In: NEWEN, A., L. DE BRUIN, and S. GALLAGHER, eds. The Oxford Handbook 4e Cognition. Oxford: Oxford University Press, 2018. ISBN 978-0-19-873541-0. DOI 10.1093/oxfordhb/9780198735410.013.45.

Conference Proceedings

NGUYEN, D.H.P., et al. Compact Real-time Avoidance on a Humanoid Robot for Human-robot Interaction. In: Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction. ACM/IEEE International Conference on Human-Robot Interaction 2018, Chicago, 2018-03-05/2018-03-08. USA: IEEE Computer Society, 2018. p. 416-424. ISSN 2167-2148. ISBN 978-1-4503-4953-6. DOI 10.1145/3171221.3171245. Available from: http://dx.doi.org/10.1145/3171221.3171245

MORAVEC, J. and R. ŠÁRA. Robust Maximum-likelihood On-line LiDAR-to-Camera Calibration Monitoring and Refinement. In: KÚKELOVÁ, Z. and J. ŠKOVIEROVÁ, eds. Proceedings of the 23rd Computer Vision Winter Workshop. CVWW 2018: Computer Vision Winter Workshop, Český Krumlov, 2018-02-05/2018-02-07. Praha: Czech Society for Cybernetics and Informatics, 2018. p. 27-35. ISBN 978-80-270-3395-9. Available from: http://cmp.felk.cvut.cz/cvww2018/papers/4.pdf

ŠVARNÝ, P. and M. HOFFMANN. Safety of human-robot interaction through tactile sensors and peripersonal space representations. In: Kognice a umělý život 2018. Kognice a umělý život XVIII, Brno, 2018-05-30/2018-06-01. Brno: FLOW, 2018. p. 73-75. ISBN 978-80-88123-24-8.

ŠVARNÝ, P., Z. STRAKA, and M. HOFFMANN. Versatile distance measurement between robot and human key points using RGB-D sensors for safe HRI. In: 1st Workshop on Proximity Perception in Robotics at IROS 2018. IEEE/RSJ International Conference on Intelligent Robots and Systems, Madrid, 2018-10-01/2018-10-05. KIT Scientific Publishing, 2018. DOI 10.5445/IR/1000086870. Available from: https://publikationen.bibliothek.kit.edu/1000086870

NGUYEN, P.D.H., et al. Merging physical and social interaction for effective human-robot collaboration. In: Humanoid Robots (Humanoids), 2018 IEEE-RAS 18th International Conference on. Beijing, 2018-11-06/2018-11-09. Piscataway, NJ: IEEE, 2018. p. 710-717. ISSN 2164-0580. ISBN 978-1-5386-7283-9. DOI 10.1109/HUMANOIDS.2018.8625030.

ŠVARNÝ, P., Z. STRAKA, and M. HOFFMANN. Toward safe separation distance monitoring from RGB-D sensors in human-robot interaction. In: Proceedings of the international PhD conference on safe and social robots. The International PhD Conference on Safe and Social Robotics, Madrid, 2018-09-29/2018-09-30. Strasbourg: Commission of the European Communities, 2018. p. 11-14. Available from: http://www.socrates-project.eu/internal-documents/SSR_2018/Proceedings2.pdf

13133 / 13166 - Analysis and Interpretation of Biomedical Data

Publications 2018

Papers in WoS Journals

MARIA CIRUGEDA-ROLDAN, E., et al. Sample Entropy Analysis of Noisy Atrial Electrograms during Atrial Fibrillation. Computational and Mathematical Methods in Medicine. 2018, 2018 ISSN 1748-6718. DOI 10.1155/2018/1874651. Available from: https://www.hindawi.com/journals/cmmm/2018/1874651/

CUESTA, D., et al. Characterization of Artifact Influence on the Classification of Glucose Time Series Using Sample Entropy Statistics. Entropy. 2018, 20(871), ISSN 1099-4300. DOI 10.3390/e20110871. Available from: https://www.mdpi.com/1099-4300/20/11/871/htm

Papers in Other Journals

KULHÁNEK, A., et al. eHealth Intervention for Smoking Cessation for Czech Tobacco Smokers: Pilot Study of User Acceptance. Adiktologie. 2018, 2018(2), 81-85. ISSN 1213-3841.

Conference Proceedings

OTÁHAL, M. Specialized HTM layer for neural BCI communication. In: Procedia Computer Science. BICA 2018: 9th Annual International Conference on Biologically Inspired Cognitive Architectures, Praha, 2018-08-22/2018-08-24. New York: Elsevier B.V., 2018. ISSN 1877-0509. Available from: http://bica2018.bicasociety.org/

DOSTÁLKOVÁ, M., et al. Test kontrastové citlivosti pro nejmenší děti. In: VI. Trendy v dětské oftalmologii a strabologii 2018. Evropské školící centrum YMCA, Litomyšl, 2018-10-26/2018-10-27. Prague: ČLS JEP, 2018. p. 38-42. ISSN 1213-1032.

SERRANOVÁ, T., et al. Gradient-like representation of emotional valence and arousal within the subthalamic nucleus in Parkinson’s disease. In: Abstracts of the 2018 International Congress of Parkinson's Disease and Movement Disorders. International Congress of Parkinson’s Disease and Movement Disorders 2018, Hong Kong, 2018-10-05/2018-10-09. International Parkinson and Movement Disorder Society, 2018. vol. 33.

NOVÁK, P. Orientace v rozhlehlých budovách. In: GEORGI, H. and R. ŠLAMBEROVÁ, eds. Stárnutí / Ageing 2018. Ageing / Stárnutí 2018 - 4th GERONTOLOGICAL INTERDISCIPLINARY CONFERENCE, 3. lékařská fakulta, Univerzita Karlova, Praha, 2018-10-19/2018-10-20. Praha: Third Faculty of Medecine, Charles University, 2018. p. 144-150. ISBN 978-80-87878-36-1.

NĚMÝ, M. and L. VYSLOUŽILOVÁ. Measurement of Basal Forebrain Atrophy in Alzheimer’s Disease using Tensor-Based Morphometry: Preliminary Study. In: GEORGI, H. and R. ŠLAMBEROVÁ, eds. Ageing 2018: Proceedings of the 4th Gerontological Interdisciplinary Conference. Ageing 2018, Praha, 2018-10-19/2018-10-20. Praha: Third Faculty of Medecine, Charles University, 2018. p. 184-193. ISBN 978-80-87878-36-1. Available from: http://www.konferencestarnuti.cz/

DUCHÁČKOVÁ, M., et al. Porovnání dichoptických zobrazovacích systémů pro aplikaci ortopticko-pleoptických cvičení ve virtuální realitě. In: VI. Trendy v dětské oftalmologii a strabologii 2018. Evropské školící centrum YMCA, Litomyšl, 2018-10-26/2018-10-27. Prague: ČLS JEP, 2018. p. 112-117. ISSN 1213-1032.

MALÁ, K., et al. Test reakčního času na dopravně - signální barvy. In: VI. Trendy v dětské oftalmologii a strabologii 2018. Evropské školící centrum YMCA, Litomyšl, 2018-10-26/2018-10-27. Prague: ČLS JEP, 2018. p. 76-79. ISSN 1213-1032.

BAKŠTEIN, E., et al. Fusion of microelectrode neuronal recordings and MRI landmarks for automatic atlas fitting in deep brain stimulation surgery. In: 7th MICCAIA Workshop on Clinical Image-based Procedures - Translational Research in Medical Imaging. Granada, 2018-09-16. London: Springer, 2018. p. 175-183. ISSN 0302-9743. ISBN 978-3-030-01200-7. DOI 10.1007/978-3-030-01201-4_19.

NOVÁK, P. Možnosti využití běžně dostupné techniky v oftalmologii. In: VI. Trendy v dětské oftalmologii a strabologii 2018. Evropské školící centrum YMCA, Litomyšl, 2018-10-26/2018-10-27. Prague: ČLS JEP, 2018. p. 91-93. ISSN 1213-1032.

OTÁHAL, M. and M. KOVÁŘ. Motion Memory: Invariant representations of sequences in cortical L2/3 by Hierarchical Temporal Memory. In: Procedia Computer Science. BICA 2018: 9th Annual International Conference on Biologically Inspired Cognitive Architectures, Praha, 2018-08-22/2018-08-24. New York: Elsevier B.V., 2018. p. 400-405. ISSN 1877-0509. DOI 10.1016/j.procs.2018.11.091. Available from: https://www.sciencedirect.com/science/article/pii/S1877050918323792

13133 / 13167 - Multi-robot Systems

Publications 2018

Papers in WoS Journals

BÁČA, T., et al. Rospix: modular software tool for automated data acquisitions of Timepix detectors on Robot Operating System. Journal of Instrumentation. 2018, 13(11), ISSN 1748-0221. DOI 10.1088/1748-0221/13/11/C11008. Available from: http://iopscience.iop.org/article/10.1088/1748-0221/13/11/C11008

Papers in Other Journals

LOIANNO, G., et al. Localization, Grasping, and Transportation of Magnetic Objects by a team of MAVs in Challenging Desert like Environments. IEEE Robotics and Automation Letters. 2018, 99(PP), 1-8. ISSN 2377-3766. DOI 10.1109/LRA.2018.2800121. Available from: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8276269

Conference Proceedings

KRÁTKÝ, V., et al. Documentation Of Historical Buildings With the Usage of Model Predictive Control. In: Second Workshop on Multi-robot Perception-Driven Control and Planning. IEEE/RSJ International Conference on Intelligent Robots and Systems, Madrid, 2018-10-01/2018-10-05. Barcelona: IEEE, 2018.

VONÁSEK, V., A. VICK, and J. KRUEGER. Distributed Motion Planning for Industrial Random Bin Picking. In: Procedia CIRP. 10th CIRP Conference on Photonic Technologies, Fürth, 2018-09-03/2018-09-06. Amsterdam: Elsevier B.V., 2018. p. 121-126. vol. 74. ISSN 2212-8271. DOI 10.1016/j.procir.2018.01.039.

BÁČA, T., et al. Model Predictive Trajectory Tracking and Collision Avoidance for Reliable Outdoor Deployment of Unmanned Aerial Vehicles. In: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE/RSJ International Conference on Intelligent Robots and Systems, Madrid, 2018-10-01/2018-10-05. New York: IEEE Press, 2018. ISBN 978-1-5386-8093-3.

VONÁSEK, V. and M. SASKA. Increasing Diversity of Solutions in Sampling-based Path Planning. In: Proceedings of the 2018 International Conference on Robotics and Artificial Intelligence. 2018 the 4th International Conference on Robotics and Artificial Intelligence (ICRAI 2018), Guangzhou, 2018-11-17/2018-11-19. New York: ACM, 2018. p. 97-102. ISBN 978-1-4503-6584-0. DOI 10.1145/3297097.3297114.

WASSERMANN, J., V. VONÁSEK, and A. VICK. Distributed Industrial Robot Control Using Environment Perception and Parallel Path Planning Cloud Services. In: Proceedings 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA). 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation, Torino, 2018-09-04/2018-09-07. Piscataway: IEEE, 2018. p. 1263-1266. 1. vol. 1. ISSN 1946-0759. ISBN 978-1-5386-7108-5. DOI 10.1109/ETFA.2018.8502588.

JANKOVEC, T. Pathways searching for flexible ligands in proteins. In: HUSNÍK, L., ed. Proceedings of the International Student Scientific Conference Poster – 22/2018. Poster 2018, Praha, 2018-05-10. Praha: Czech Technical University in Prague, 2018. ISBN 978-80-01-06428-3.

PETRÁČEK, P. and M. SASKA. Decentralized Aerial Swarms Using Vision-Based Mutual Localization. In: Second Workshop on Multi-robot Perception-Driven Control and Planning. IEEE/RSJ International Conference on Intelligent Robots and Systems, Madrid, 2018-10-01/2018-10-05. Barcelona: IEEE, 2018.

VONÁSEK, V. Motion planning of 3D objects using Rapidly Exploring Random Tree guided by approximate solutions. In: Proceedings 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA). 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation, Torino, 2018-09-04/2018-09-07. Piscataway: IEEE, 2018. p. 713-720. 1. vol. 1. ISSN 1946-0759. ISBN 978-1-5386-7108-5. DOI 10.1109/ETFA.2018.8502446.

WALTER, V., M. SASKA, and A. FRANCHI. Fast Mutual Relative Localization of UAVs using Ultraviolet LED Markers. In: 2018 International Conference on Unmanned Aircraft Systems (ICUAS). Dallas, TX, 2018-06-11/2018-06-15. IEEE, 2018. p. 1217-1226. ISSN 2575-7296. ISBN 978-1-5386-1353-5. DOI 10.1109/ICUAS.2018.8453331.

WALTER, V., et al. Mutual Localization of UAVs based on Blinking Ultraviolet Markers and 3D Time-Position Hough Transform. In: 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE). IEEE International Conference on Automation Science and Engineering, Munich, 2018-08-20/2018-08-24. New York: IEEE, 2018. p. 298-303. ISSN 2161-8070. ISBN 978-1-5386-3593-3. DOI 10.1109/COASE.2018.8560384. Available from: https://ieeexplore.ieee.org/document/8560384

WALTER, V., T. NOVÁK, and M. SASKA. Self-Localization of Unmanned Aerial Vehicles Based on Optical Flow in Inboard Camera Image. In: Modelling and Simulation for Autonomous Systems (MESAS 2017). MESAS 2017 - Modelling & Simulation for Autonomous Systems, Řím, 2017-10-24/2017-11-26. Cham: Springer International Publishing AG, 2018. p. 106-132. Lecture Notes in Computer Vision. vol. 10756. ISSN 0302-9743. ISBN 978-3-319-76071-1. DOI 10.1007/978-3-319-76072-8_8.

13133 / 13168 - Machine Learning

Publications 2018

Papers in WoS Journals

FRANC, V. and J. ČECH. Learning CNNs from Weakly Annotated Facial Images. Image and Vision Computing. 2018, 77 10-20. ISSN 0262-8856. DOI 10.1016/j.imavis.2018.06.011.

FRANC, V., et al. Learning data discretization via convex optimization. Machine Learning. 2018, 107(2), 333-355. ISSN 0885-6125. DOI 10.1007/s10994-017-5654-4.

Patents

Cisco Technology, Inc. (San Jose, CA, USA). Method and apparatus for aggregating indicators of compromise for use in network security. Inventors: K. BARTOS, et al. United States. Patent US9985982B1. 2018-05-29. Available from: http://patft.uspto.gov/netacgi/nph-Parser?Sect1=PTO2&Sect2=HITOFF&p=1&u=%2Fnetahtml%2Fsearch-adv.htm&r=0&f=S&l=50&d=PALL&Query=9985982

Cisco Technology, Inc. (San Jose, CA). Learning detector of malicious network traffic from weak labels. Inventors: V. FRANC, M. SOFKA, and K. BARTOS. United States. Patent US9923912B2. 2018-03-20. Available from: http://patft.uspto.gov/netacgi/nph-Parser?Sect1=PTO2&Sect2=HITOFF&p=1&u=%2Fnetahtml%2Fsearch-adv.htm&r=0&f=S&l=50&d=PALL&Query=9923912

Papers in Other Journals

SCHLESINGER, M. I., B. FLACH, and E. VODOLAZSKIY. Finding a Given Number of Solutions to a System of Fuzzy Constraints. Cybernetics and Systems Analysis. 2018, 54(1), 60-74. ISSN 1060-0396. DOI 10.1007/s10559-018-0007-2.

Books, Book Chapters and Lecture Notes

BEJINES LÓPEZ, C., et al. Equivalence Relations on Fuzzy Subgroups. In: Advances in Artificial Intelligence. Cham: Springer International Publishing, 2018. DOI 10.1007/978-3-030-00374-6_14.

Conference Proceedings

GUILLON, B., et al. Two-Way Automata and One-Tape Machines: Read Only Versus Linear Time. In: International Conference on Developments in Language Theory. The 22nd International Conference on Developments in Language Theory, Tokyo, 2018-09-10/2018-09-14. Cham: Springer International Publishing, 2018. p. 366-378. Lecture Notes in Computer Science. vol. 11088. ISSN 0302-9743. ISBN 978-3-319-98653-1. DOI 10.1007/978-3-319-98654-8_30.

GUSEV, V.V., R.M. JUNGERS, and D. PRŮŠA. Dynamics of the Independence Number and Automata Synchronization. In: International Conference on Developments in Language Theory. The 22nd International Conference on Developments in Language Theory, Tokyo, 2018-09-10/2018-09-14. Cham: Springer International Publishing, 2018. p. 379-391. Lecture Notes in Computer Science. vol. 11088. ISSN 0302-9743. ISBN 978-3-319-98653-1. DOI 10.1007/978-3-319-98654-8_31.

NAVARA, M. and M. NAVAROVÁ. Generalizations of the principle of inclusion and exclusion. In: The 14th Biennial IQSA Conference Quantum Structures 2018. Biennial Meeting of the International Quantum Structures Association, Kazan, 2018-07-16/2018-07-20. Kazan: Kazan Federal University, 2018. p. 59-60.

HARDING, J., et al. Boolean subalgebras of orthoalgebras. In: 15th International Conference on Quantum Physics and Logic. Halifax, 2018-06-03/2018-06-07. Halifax: Dalhousie University, 2018. p. 1-3. Available from: https://www.mathstat.dal.ca/qpl2018/papers/QPL_2018_paper_39.pdf

HARDING, J., et al. Boolean subalgebras of orthomodular structures. In: BLAST 2018. Denver, Colorado, 2018-08-06/2018-08-10. Denver, Colorado: University of Denver, 2018.

PRŮŠA, D. and A. FUJIYOSHI. Rank-Reducing Two-Dimensional Grammars for Document Layout Analysis. In: 14th IAPR International Conference on Document Analysis and Recognition (ICDAR). The 14th IAPR International Conference on Document Analysis and Recognition, Kyoto, 2017-11-09/2017-11-15. Los Alamitos: IEEE Computer Society, 2018. p. 1120-1125. ISSN 1520-5363. ISBN 978-1-5386-3586-5. DOI 10.1109/ICDAR.2017.185. Available from: https://ieeexplore.ieee.org/document/8270116

NAVARA, M. and J. ŠINDELÁŘ. Two envelope problem as a game of two players. In: Applications of Algebra 22. Zakopane, 2018-03-05/2018-03-10. Czestochowa: Jan Dlugosz University, 2018. p. 31.

NAVARA, M. and P. PTÁK. Pseudocomplemented-like orthomodular posets. In: The 14th Biennial IQSA Conference Quantum Structures 2018. Biennial Meeting of the International Quantum Structures Association, Kazan, 2018-07-16/2018-07-20. Kazan: Kazan Federal University, 2018. p. 61.

NAVARA, M. Generalizations of the principle of inclusion and exclusion. In: MESIAR, R., S. SAMINGER-PLATZ, and P. STRUK, eds. Fourteenth International Conference on Fuzzy Sets Theory Applications. Liptovský Ján, 2018-01-28/2018-02-02. Bratislava: Slovak University of Technology in Bratislava, 2018. p. 74. ISBN 978-80-8040-560-1.

VAŠEK, V., V. FRANC, and M. URBAN. License Plate Recognition and Super-resolution from Low-Resolution Videos by Convolutional Neural Networks. In: BMVC2018: Proceedings of the British Machine Vision Conference. BMVC2018: British Machine Vision Conference, Newcastle upon Tyne, 2018-09-03/2018-09-06. London: British Machine Vision Association, 2018. Available from: http://www.bmvc2018.org/contents/papers/0537.pdf

Dissertations

UŘIČÁŘ, M. Multi-view Facial Landmark Detection. Defense date 2018-03-27. PhD Thesis. CTU FEE. Machine Learning. Supervised by V. FRANC.

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