Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Troncy, Raphael"'
Autor:
Rei, Luis, Mladenić, Dunja, Dorozynski, Mareike, Rottensteiner, Franz, Schleider, Thomas, Troncy, Raphaël, Lozano, Jorge Sebastián, Salvatella, Mar Gaitán
Publikováno v:
Multimedia Systems 29 (2023) 847-869
We develop a multimodal classifier for the cultural heritage domain using a late fusion approach and introduce a novel dataset. The three modalities are Image, Text, and Tabular data. We based the image classifier on a ResNet convolutional neural net
Externí odkaz:
http://arxiv.org/abs/2406.00423
Autor:
Lisena, Pasquale, Achichi, Manel, Choffé, Pierre, Cecconi, Cécile, Todorov, Konstantin, Jacquemin, Bernard, Troncy, Raphaël
Publikováno v:
Bibliothek Forschung und Praxis, 2018, 42 (2), pp.194-205.
DOREMUS works on a better description of music by building new tools to link and explore the data of three French institutions. This paper gives an overview of the data model based on FRBRoo, explains the conversion and linking processes using linked
Externí odkaz:
http://arxiv.org/abs/2405.03382
Topic models are statistical methods that extract underlying topics from document collections. When performing topic modeling, a user usually desires topics that are coherent, diverse between each other, and that constitute good document representati
Externí odkaz:
http://arxiv.org/abs/2202.07631
Autor:
Dadoun, Amine, Troncy, Raphael
This paper presents the D2KLab team's approach to the RecSys Challenge 2019 which focuses on the task of recommending accommodations based on user sessions. What is the feeling of a person who says "Rooms of the hotel are enormous, staff are friendly
Externí odkaz:
http://arxiv.org/abs/2008.11136
This paper describes the approach proposed by the D2KLab team for the 2020 RecSys Challenge on the task of predicting user engagement facing tweets. This approach relies on two distinct stages. First, relevant features are learned from the challenge
Externí odkaz:
http://arxiv.org/abs/2008.10419
Autor:
Rudnik, Charlotte, Ehrhart, Thibault, Ferret, Olivier, Teyssou, Denis, Troncy, Raphaël, Tannier, Xavier
Publikováno v:
WikiWorkshop at The Web Conference 2019
News agencies produce thousands of multimedia stories describing events happening in the world that are either scheduled such as sports competitions, political summits and elections, or breaking events such as military conflicts, terrorist attacks, n
Externí odkaz:
http://arxiv.org/abs/1904.05557
Autor:
Monti, Diego, Palumbo, Enrico, Rizzo, Giuseppe, Troncy, Raphaël, Ehrhart, Thibault, Morisio, Maurizio
The knowledge of city exploration trails of people is in short supply because of the complexity in defining meaningful trails representative of individual behaviours and in the access to actionable data. Existing datasets have only recorded isolated
Externí odkaz:
http://arxiv.org/abs/1812.04367
Autor:
Grönroos, Stig-Arne, Huet, Benoit, Kurimo, Mikko, Laaksonen, Jorma, Merialdo, Bernard, Pham, Phu, Sjöberg, Mats, Sulubacak, Umut, Tiedemann, Jörg, Troncy, Raphael, Vázquez, Raúl
This paper describes the MeMAD project entry to the WMT Multimodal Machine Translation Shared Task. We propose adapting the Transformer neural machine translation (NMT) architecture to a multi-modal setting. In this paper, we also describe the prelim
Externí odkaz:
http://arxiv.org/abs/1808.10802
Autor:
Khrouf, Houda, Troncy, Raphaël
Event-based services have recently witnessed a rapid growth driving the way people explore and share information of interest. They host a huge amount of users' activities including explicit RSVP, shared photos, comments and social connections. Exploi
Externí odkaz:
http://arxiv.org/abs/1803.04354