Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Sebastian Monka"'
Publikováno v:
International Journal of Semantic Computing. :1-23
Autonomous Driving (AD) datasets, when used in combination with deep learning techniques, have enabled significant progress on difficult AD tasks such as perception, trajectory prediction, and motion planning. These datasets represent the content of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b73f0f00602706ea9826436cccc1288
https://doi.org/10.1142/s1793351x23600048
https://doi.org/10.1142/s1793351x23600048
Publikováno v:
2022 IEEE Fifth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e62cad79d969461cf419cb5b82522b90
https://doi.org/10.1109/aike55402.2022.00023
https://doi.org/10.1109/aike55402.2022.00023
Publikováno v:
The Semantic Web – ISWC 2022 ISBN: 9783031194320
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a68843b3e304867d81a888f317f4136e
https://doi.org/10.1007/978-3-031-19433-7_9
https://doi.org/10.1007/978-3-031-19433-7_9
Publikováno v:
Knowledge Graphs and Semantic Web ISBN: 9783031214219
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0b7eae1f59a6ec544b589536c6b62a8
https://doi.org/10.1007/978-3-031-21422-6_2
https://doi.org/10.1007/978-3-031-21422-6_2
Publikováno v:
The Semantic Web – ISWC 2021 ISBN: 9783030883607
ISWC
ISWC
Traditional computer vision approaches, based on neural networks (NN), are typically trained on a large amount of image data. By minimizing the cross-entropy loss between a prediction and a given class label, the NN and its visual embedding space are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4237db4199d2a5d1451ef7b4bbccf6b
https://doi.org/10.1007/978-3-030-88361-4_21
https://doi.org/10.1007/978-3-030-88361-4_21
Publikováno v:
International Journal of Semantic Computing; Jun2023, Vol. 17 Issue 2, p249-271, 23p
Autor:
Hitzler, Pascal, Janowicz, Krzysztof, Alam, Mehwish, Buscaldi, Davide, Cochez, Michael, Osborne, Francesco, Reforgiato Recupero, Diego, Sack, Harald, Refogiato Recupero, Diego
Publikováno v:
Semantic Web (1570-0844); 2022, Vol. 13 Issue 3, p293-297, 5p
Autor:
Alam, Mehwish, Buscaldi, Davide, Cochez, Michael, Osborne, Francesco, Reforgiato Recupero, Diego, Sack, Harald, Monka, Sebastian, Halilaj, Lavdim, Rettinger, Achim, Refogiato Recupero, Diego
Publikováno v:
Semantic Web (1570-0844); 2022, Vol. 13 Issue 3, p477-510, 34p
Autor:
Vijay Govindarajan, Venkat Venkatraman
Two world-renowned experts on innovation and digital strategy explore how real-time data and AI will radically transform physical products—and the companies that make them.Tech giants like Facebook, Amazon, and Google can collect real-time data fro
Autor:
Terry R. Payne, Valentina Presutti, Guilin Qi, María Poveda-Villalón, Giorgos Stoilos, Laura Hollink, Zoi Kaoudi, Gong Cheng, Juanzi Li
This book constitutes the proceedings of the 22nd International Semantic Web Conference, ISWC 2023, which took place in October 2023 in Athens, Greece. The 58 full papers presented in this double volume were thoroughly reviewed and selected from 248