Iacopo Vagliano

According to our database, Iacopo Vagliano authored at least 38 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Multimodal convolutional neural networks for the prediction of acute kidney injury in the intensive care.

R. van Slobbe, D. Herrmannova, D. J. Boeke, Elia Lima-Walton, Ameen Abu-Hanna, Iacopo Vagliano

Int. J. Medical Informatics, 2025

2023

Prognostic models of in-hospital mortality of intensive care patients using neural representation of unstructured text: A systematic review and critical appraisal.

Iacopo Vagliano, Noman Dormosh, Miguel Rios, Torec T. Luik, T. M. Buonocore, Paul W. G. Elbers, Dave A. Dongelmans, Martijn C. Schut, Ameen Abu-Hanna

J. Biomed. Informatics, October, 2023

Automated identification of patient subgroups: A case-study on mortality of COVID-19 patients admitted to the ICU.

Iacopo Vagliano, Maurice Y. Kingma, Dave A. Dongelmans, Dylan W. De Lange, Nicolette F. de Keizer, Martijn C. Schut

Comput. Biol. Medicine, September, 2023

Lifelong learning on evolving graphs under the constraints of imbalanced classes and new classes.

Lukas Galke, Iacopo Vagliano, Benedikt Franke, Tobias Zielke, Marcel Hoffmann, Ansgar Scherp

Neural Networks, July, 2023

Leveraging Multi-Word Concepts to Predict Acute Kidney Injury in Intensive Care.

Lorenzo Brancato, Iacer Calixto, Ameen Abu-Hanna, Iacopo Vagliano

Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023

Autoencoder-Based Prediction of ICU Clinical Codes.

Tsvetan R. Yordanov, Ameen Abu-Hanna, Anita C. J. Ravelli, Iacopo Vagliano

Proceedings of the Artificial Intelligence in Medicine, 2023

Soft-Prompt Tuning to Predict Lung Cancer Using Primary Care Free-Text Dutch Medical Notes.

Auke Elfrink, Iacopo Vagliano, Ameen Abu-Hanna, Iacer Calixto

Proceedings of the Artificial Intelligence in Medicine, 2023

2022

Recommendations for item set completion: on the semantics of item co-occurrence with data sparsity, input size, and input modalities.

Iacopo Vagliano, Lukas Galke, Ansgar Scherp

Inf. Retr. J., 2022

Assess and validate predictive performance of models for in-hospital mortality in COVID-19 patients: A retrospective cohort study in the Netherlands comparing the value of registry data with high-granular electronic health records.

Iacopo Vagliano, Martijn C. Schut, Ameen Abu-Hanna, Dave A. Dongelmans, Dylan W. De Lange, Diederik Gommers, Olaf L. Cremer, Rob J. Bosman, Sander Rigter, Evert-Jan Wils, Tim Frenzel, Remko de Jong, Marco A. A. Peters, Marlijn J. A. Kamps, Dharmanand Ramnarain, Ralph Nowitzky, Fleur G. C. A. Nooteboom, Wouter de Ruijter, Louise C. Urlings-Strop, Ellen G. M. Smit, D. Jannet Mehagnoul-Schipper, Tom Dormans, Cornelis P. C. de Jager, Stefaan H. A. Hendriks, Sefanja Achterberg, Evelien Oostdijk, Auke C. Reidinga, Barbara Festen-Spanjer, Gert B. Brunnekreef, Alexander D. Cornet, Walter van den Tempel, Age D. Boelens, Peter Koetsier, Judith Lens, Harald J. Faber, Attila Karakus, Robert Entjes, Paul de Jong, Thijs C. D. Rettig, Merijn C. Reuland, M. Sesmu Arbous, Lucas M. Fleuren, Tariq A. Dam, Patrick J. Thoral, Robbert C. A. Lalisang, Michele Tonutti, Daan P. de Bruin, Paul W. G. Elbers, Nicolette F. de Keizer

Int. J. Medical Informatics, 2022

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.

Iacopo Vagliano, Sylvia Brinkman, Ameen Abu-Hanna, M. Sesmu Arbous, Dave A. Dongelmans, Paul W. G. Elbers, Dylan W. De Lange, Mihaela van der Schaar, Nicolette F. de Keizer, Martijn C. Schut

Int. J. Medical Informatics, 2022

External Validation and Transportability of Models to Predict Acute Kidney Injury in the Intensive Care Unit.

Iacopo Vagliano, Carmen Byrne Salsas, Tina Wünn, Martijn C. Schut

Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022

2021

Lifelong Learning in Evolving Graphs with Limited Labeled Data and Unseen Class Detection.

Lukas Galke, Iacopo Vagliano, Benedikt Franke, Tobias Zielke, Ansgar Scherp

CoRR, 2021

Interpretable and Continuous Prediction of Acute Kidney Injury in the Intensive Care.

Iacopo Vagliano, Oleksandra Lvova, Martijn C. Schut

Proceedings of the Public Health and Informatics, 2021

Machine Learning, Clinical Notes and Knowledge Graphs for Early Prediction of Acute Kidney Injury in the Intensive Care.

Iacopo Vagliano, Wei-Hsiang Hsu, Martijn C. Schut

Proceedings of the Informatics and Technology in Clinical Care and Public Health, 2021

2020

Incremental Training of Graph Neural Networks on Temporal Graphs under Distribution Shift.

Lukas Galke, Iacopo Vagliano, Ansgar Scherp

CoRR, 2020

2019

Statistics of the Network of Linked Vocabularies.

Mohammad Abdel-Qader, Iacopo Vagliano, Ansgar Scherp

Dataset, May, 2019

Can Graph Neural Networks Go "Online"? An Analysis of Pretraining and Inference.

Lukas Galke, Iacopo Vagliano, Ansgar Scherp

CoRR, 2019

Training Researchers with the MOVING Platform.

Iacopo Vagliano, Angela Fessl, Franziska Günther, Thomas Köhler, Vasileios Mezaris, Ahmed Saleh, Ansgar Scherp, Ilija Simic

Proceedings of the MultiMedia Modeling - 25th International Conference, 2019

Analyzing the Evolution of Linked Vocabularies.

Mohammad Abdel-Qader, Iacopo Vagliano, Ansgar Scherp

Proceedings of the Web Engineering - 19th International Conference, 2019

Recommending Multimedia Educational Resources on the MOVING Platform.

Iacopo Vagliano, Sibgha Nazir

Proceedings of the 8th International Workshop on Bibliometric-enhanced Information Retrieval (BIR 2019) co-located with the 41st European Conference on Information Retrieval (ECIR 2019), 2019

2018

Open Innovation in the Big Data Era With the MOVING Platform.

Iacopo Vagliano, Franziska Günther, Matthias Heinz, Aitor Apaolaza, Irina Bienia, Gert Breitfuss, Till Blume, Chrysa Collyda, Angela Fessl, Sebastian Gottfried, Peter Hasitschka, Jasmin Kellermann, Thomas Köhler, Annalouise Maas, Vasileios Mezaris, Ahmed Saleh, Andrzej M. J. Skulimowski, Stefan Thalmann, Markel Vigo, Alfred Wertner, Michael Wiese, Ansgar Scherp

IEEE Multim., 2018

Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels.

Lukas Galke, Florian Mai, Iacopo Vagliano, Ansgar Scherp

Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018

Using Adversarial Autoencoders for Multi-Modal Automatic Playlist Continuation.

Iacopo Vagliano, Lukas Galke, Florian Mai, Ansgar Scherp

Proceedings of the ACM Recommender Systems Challenge, 2018

Analyzing the Evolution of Vocabulary Terms and Their Impact on the LOD Cloud.

Mohammad Abdel-Qader, Ansgar Scherp, Iacopo Vagliano

Proceedings of the Semantic Web - 15th International Conference, 2018

2017

Content Recommendation Through Linked Data.

Iacopo Vagliano

PhD thesis, 2017

Allied: A Framework for Executing Linked Data-Based Recommendation Algorithms.

Cristhian Figueroa, Iacopo Vagliano, Oscar Rodriguez Rocha, Marco Torchiano, Catherine Faron-Zucker, Juan Carlos Corrales, Maurizio Morisio

Int. J. Semantic Web Inf. Syst., 2017

Content Recommendation through Semantic Annotation of User Reviews and Linked Data - An Extended Technical Report.

Iacopo Vagliano, Diego Monti, Ansgar Scherp, Maurizio Morisio

CoRR, 2017

SemRevRec: A Recommender System based on User Reviews and Linked Data.

Iacopo Vagliano, Diego Monti, Maurizio Morisio

Proceedings of the Poster Track of the 11th ACM Conference on Recommender Systems (RecSys 2017), 2017

Content Recommendation through Semantic Annotation of User Reviews and Linked Data.

Iacopo Vagliano, Diego Monti, Ansgar Scherp, Maurizio Morisio

Proceedings of the Knowledge Capture Conference, 2017

Tool Integration in the Aerospace Domain: A Case Study.

Iacopo Vagliano, Davide Ferretto, Eugenio Brusa, Maurizio Morisio, Laura Valacca

Proceedings of the 41st IEEE Annual Computer Software and Applications Conference, 2017

Serendipitous Recommendations Through Ontology-Based Contextual Pre-filtering.

Aleksandra Karpus, Iacopo Vagliano, Krzysztof Goczyla

Proceedings of the Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation, 2017

2016

ReDyAl: A Dynamic Recommendation Algorithm based on Linked Data.

Iacopo Vagliano, Cristhian Figueroa, Oscar Rodriguez Rocha, Marco Torchiano, Catherine Faron-Zucker, Maurizio Morisio

Proceedings of the 3rd Workshop on New Trends in Content-Based Recommender Systems co-located with ACM Conference on Recommender Systems (RecSys 2016), 2016

An Ontology-based Contextual Pre-filtering Technique for Recommender Systems.

Aleksandra Karpus, Iacopo Vagliano, Krzysztof Goczyla, Maurizio Morisio

Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

2015

Semantic Annotation and Classification in Practice.

Oscar Rodriguez Rocha, Iacopo Vagliano, Cristhian Figueroa, Federico Cairo, Giuseppe Futia, Carlo Alberto Licciardi, Marco Marengo, Federico Morando

IT Prof., 2015

A systematic literature review of Linked Data-based recommender systems.

Cristhian Figueroa, Iacopo Vagliano, Oscar Rodriguez Rocha, Maurizio Morisio

Concurr. Comput. Pract. Exp., 2015

DBpedia Mobile Explorer.

Iacopo Vagliano, Marco Marengo, Maurizio Morisio

Proceedings of the 1st IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow, 2015

2014

Linked Data-Driven Smart Spaces.

Oscar Rodriguez Rocha, Cristhian Figueroa, Iacopo Vagliano, Boris Moltchanov

Proceedings of the Internet of Things, Smart Spaces, and Next Generation Networks and Systems, 2014

2013

Assisted Policy Management for SPARQL Endpoints Access Control.

Luca Costabello, Serena Villata, Iacopo Vagliano, Fabien Gandon

Proceedings of the ISWC 2013 Posters & Demonstrations Track, 2013