Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Bezirganyan, Grigor"'
Multimodal Deep Learning enhances decision-making by integrating diverse information sources, such as texts, images, audio, and videos. To develop trustworthy multimodal approaches, it is essential to understand how uncertainty impacts these models.
Externí odkaz:
http://arxiv.org/abs/2406.09864
Autor:
Wiessner, Paul1 (AUTHOR) e-wiessner@in.tum.de, Bezirganyan, Grigor2 (AUTHOR) grigor.bezirganyan@univ-amu.fr, Sellami, Sana2 (AUTHOR) sana.sellami@univ-amu.fr, Chbeir, Richard3 (AUTHOR) richard.chbeir@univ-pau.fr, Bungartz, Hans-Joachim1 (AUTHOR) bungartz@cit.tum.de
Publikováno v:
Future Internet. Nov2024, Vol. 16 Issue 11, p403. 23p.
This book constitutes the proceedings of the 26th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2024, which too place in Naples, Italy, during August 26-28, 2024. The 16 full and 20 short papers included in this book w