Home » Interpretable & time-budget-constrained contextualization for re-ranking

Interpretable & time-budget-constrained contextualization for re-ranking

Authors: 
Sebastian Hofstätter
Markus Zlabinger
Allan Hanbury
Type: 
Speech with proceedings
Proceedings: 
ECAI 2020 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain - Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020)
Publisher: 
IOS Press
Pages: 
1 - 8
ISBN: 
ISBN: 978-1-64368-100-9
Year: 
2020
Abstract: 
TU Focus: 
Information and Communication Technology
Reference: 

S. Hofstätter, M. Zlabinger, A. Hanbury:
"Interpretable & time-budget-constrained contextualization for re-ranking";
Vortrag: ECAI 2020 - 24th European Conference on Artificial Intelligence, Santiago de Compostela, Spain; 29.08.2020 - 05.09.2020; in: "ECAI 2020 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain - Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020)", IOS Press, Volume 325 of Frontiers in Artificial Intelligence and Applications (2020), ISBN: 978-1-64368-100-9; S. 1 - 8.

PDF Link: 
Last changed: 
09.01.2021 17:12:06
TU Id: 
294163
Accepted: 
Accepted
Invited: 
Department Focus: 
Business Informatics
Info Link: 
https://publik.tuwien.ac.at/showentry.php?ID=294163&lang=1
Abstract German: 
Author List: 
S. Hofstätter, M. Zlabinger, A. Hanbury