( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
Dissecting Deep Neural Networks for Better Medical Image Classification and Classification Understanding.

, , , , , , , , , и . CBMS, стр. 363-368. IEEE Computer Society, (2018)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Pavel Pogorelov

Konstantin Jeikoff

Konstantin Ilijev

Konstantin Kostandieff

Konstantin Kühnbach

 

Другие публикации лиц с тем же именем

FACT: a Framework for Analysis and Capture of Twitter Graphs., , и . SNAMS, стр. 134-141. IEEE, (2019)Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge., , , , , , , , , и 14 other автор(ы). IEEE Trans. Medical Imaging, 36 (6): 1231-1249 (2017)Automatic detection of passable roads after floods in remote sensed and social media data., , , , , , и . Signal Process. Image Commun., (2019)COVID-19 and 5G conspiracy theories: long term observation of a digital wildfire., , , , и . Int. J. Data Sci. Anal., 15 (3): 329-346 (апреля 2023)WICO Graph: A Labeled Dataset of Twitter Subgraphs based on Conspiracy Theory and 5G-Corona Misinformation Tweets., , , , и . ICAART (2), стр. 257-266. SCITEPRESS, (2021)DeepEIR: A Holistic Medical Multimedia System for Gastrointestinal Tract Disease Detection and Localization.. University of Oslo, Norway, (2019)base-search.net (ftoslouniv:oai:www.duo.uio.no:10852/71038).iPUG: Accelerating Breadth-First Graph Traversals Using Manycore Graphcore IPUs., , , , и . ISC, том 12728 из Lecture Notes in Computer Science, стр. 291-309. Springer, (2021)FakeNews: Corona Virus and Conspiracies Multimedia Analysis Task at MediaEval 2021., , , и . MediaEval, том 3181 из CEUR Workshop Proceedings, CEUR-WS.org, (2021)ClusterTag: Interactive Visualization, Clustering and Tagging Tool for Big Image Collections., , , и . ICMR, стр. 112-116. ACM, (2017)COCO: an annotated Twitter dataset of COVID-19 conspiracy theories., , , , , и . J. Comput. Soc. Sci., 6 (2): 443-484 (октября 2023)