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Iacopo Vagliano
Iacopo Vagliano
Amsterdam University Medical Center
Bestätigte E-Mail-Adresse bei amsterdamumc.nl
Titel
Zitiert von
Zitiert von
Jahr
A systematic literature review of Linked Data‐based recommender systems
C Figueroa, I Vagliano, OR Rocha, M Morisio
Concurrency and Computation: Practice and Experience 27 (17), 4659-4684, 2015
682015
Open innovation in the big data era with the moving platform
I Vagliano, F Günther, M Heinz, A Apaolaza, I Bienia, G Breitfuss, T Blume, ...
IEEE MultiMedia 25 (3), 8-21, 2018
202018
Multi-modal adversarial autoencoders for recommendations of citations and subject labels
L Galke, F Mai, I Vagliano, A Scherp
Proceedings of the 26th conference on user modeling, adaptation and …, 2018
202018
Semantic annotation and classification in practice
OR Rocha, I Vagliano, C Figueroa, F Cairo, G Futia, CA Licciardi, ...
IT Professional 17 (2), 33-39, 2015
182015
Content recommendation through semantic annotation of user reviews and linked data
I Vagliano, D Monti, A Scherp, M Morisio
Proceedings of the Knowledge Capture Conference, 1-4, 2017
172017
An ontology-based contextual pre-filtering technique for recommender systems
A Karpus, I Vagliano, K Goczyła, M Morisio
2016 Federated Conference on Computer Science and Information Systems …, 2016
162016
Redyal: A dynamic recommendation algorithm based on linked data
I Vagliano, C Figueroa, OR Rocha, M Torchiano, CF Zucker, M Morisio
RecSys 2016-3rd Workshop on New Trends in Content-Based Recommender Systems …, 2016
122016
Serendipitous recommendations through ontology-based contextual pre-filtering
A Karpus, I Vagliano, K Goczyła
Beyond Databases, Architectures and Structures. Towards Efficient Solutions …, 2017
102017
SemRevRec: A Recommender System based on User Reviews and Linked Data.
I Vagliano, D Monti, M Morisio
RecSys Posters, 2017
92017
Can Graph Neural Networks Go" Online"? An Analysis of Pretraining and Inference
L Galke, I Vagliano, A Scherp
arXiv preprint arXiv:1905.06018, 2019
82019
Allied: A framework for executing linked data-based recommendation algorithms
C Figueroa, I Vagliano, OR Rocha, M Torchiano, CF Zucker, JC Corrales, ...
International Journal on Semantic Web and Information Systems (IJSWIS) 13 (4 …, 2017
82017
Analyzing the evolution of vocabulary terms and their impact on the LOD cloud
M Abdel-Qader, A Scherp, I Vagliano
The Semantic Web: 15th International Conference, ESWC 2018, Heraklion, Crete …, 2018
62018
Assisted policy management for SPARQL endpoints access control
L Costabello, S Villata, I Vagliano, F Gandon
ISWC-International Semantic Web Conference Posters & Demonstrations Track-2013, 2013
62013
Interpretable and continuous prediction of acute kidney injury in the intensive care
I Vagliano, O Lvova, MC Schut
Public Health and Informatics, 103-107, 2021
52021
Incremental training of graph neural networks on temporal graphs under distribution shift
L Galke, I Vagliano, A Scherp
Universität Ulm, 2020
52020
Recommending Multimedia Educational Resources on the MOVING Platform.
I Vagliano, S Nazir
BIR@ ECIR, 148-158, 2019
52019
Executing, comparing, and reusing linked-data-based recommendation algorithms with the allied framework
C Figueroa, I Vagliano, OR Rocha, M Torchiano, CF Zucker, JC Corrales, ...
Semantic Web science and real-world applications, 18-47, 2019
42019
Using adversarial autoencoders for multi-modal automatic playlist continuation
I Vagliano, L Galke, F Mai, A Scherp
Proceedings of the ACM Recommender Systems Challenge 2018, 1-6, 2018
42018
Tool integration in the aerospace domain: A case study
I Vagliano, D Ferretto, E Brusa, M Morisio, L Valacca
2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC …, 2017
42017
Linked data-driven smart spaces
O Rodríguez Rocha, C Figueroa, I Vagliano, B Moltchanov
Internet of Things, Smart Spaces, and Next Generation Networks and Systems …, 2014
42014
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