Iacopo Vagliano
Iacopo Vagliano
Amsterdam University Medical Center
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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
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
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
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
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
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
Machine learning models for predicting acute kidney injury: a systematic review and critical appraisal
I Vagliano, NC Chesnaye, JH Leopold, KJ Jager, A Abu-Hanna, MC Schut
Clinical Kidney Journal 15 (12), 2266-2280, 2022
Serendipitous recommendations through ontology-based contextual pre-filtering
A Karpus, I Vagliano, K Goczyła
Beyond Databases, Architectures and Structures. Towards Efficient Solutions …, 2017
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
Can Graph Neural Networks Go" Online"? An Analysis of Pretraining and Inference
L Galke, I Vagliano, A Scherp
arXiv preprint arXiv:1905.06018, 2019
SemRevRec: A Recommender System based on User Reviews and Linked Data.
I Vagliano, D Monti, M Morisio
RecSys Posters, 2017
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
Can we reliably automate clinical prognostic modelling? A retrospective cohort study for ICU triage prediction of in-hospital mortality of COVID-19 patients in the Netherlands
I Vagliano, S Brinkman, A Abu-Hanna, MS Arbous, DA Dongelmans, ...
International Journal of Medical Informatics 160, 104688, 2022
Incremental training of graph neural networks on temporal graphs under distribution shift
L Galke, I Vagliano, A Scherp
Universität Ulm, 2020
Analyzing the evolution of vocabulary terms and their impact on the LOD cloud
M Abdel-Qader, A Scherp, I Vagliano
European Semantic Web Conference, 1-16, 2018
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
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
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
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
Lifelong learning on evolving graphs under the constraints of imbalanced classes and new classes
L Galke, I Vagliano, B Franke, T Zielke, M Hoffmann, A Scherp
Neural Networks 164, 156-176, 2023
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