Iacopo Vagliano

43 papers A 1B 5C 1Journal 20Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Determinants influencing medication-related alert handling in the electronic health record: A systematic review and meta-analysis. Int. J. Medical Informatics Kimmy Raven, Jiaxu Zhang, Iacopo Vagliano, Monique W. M. Jaspers, Linda W. Peute, Stephanie Medlock
2025	—	`conf`	Large language models versus static word embeddings to predict Acute Kidney Injury in the Intensive Care Unit: Does context matter? SLM4Health@AIME Rick van Slobbe, Drahomira Herrmannova, Elia Lima-Walton, Ameen Abu-Hanna, Iacopo Vagliano
2025	J	`jnl`	Multimodal convolutional neural networks for the prediction of acute kidney injury in the intensive care. Int. J. Medical Informatics Rick van Slobbe, Drahomira Herrmannova, Dijs Johan Boeke, Elia Lima-Walton, Ameen Abu-Hanna, Iacopo Vagliano
2023	B	`conf`	Autoencoder-Based Prediction of ICU Clinical Codes. AIME Tsvetan R. Yordanov, Ameen Abu-Hanna, Anita C. J. Ravelli, Iacopo Vagliano
2023	J	`jnl`	Autoencoder-based prediction of ICU clinical codes. CoRR Tsvetan R. Yordanov, Ameen Abu-Hanna, Anita C. J. Ravelli, Iacopo Vagliano
2023	J	`jnl`	Automated identification of patient subgroups: A case-study on mortality of COVID-19 patients admitted to the ICU. Comput. Biol. Medicine Iacopo Vagliano, Maurice Y. Kingma, Dave A. Dongelmans, Dylan W. De Lange, Nicolette F. de Keizer, Martijn C. Schut
2023	—	`conf`	Leveraging Multi-Word Concepts to Predict Acute Kidney Injury in Intensive Care. ICIMTH Lorenzo Brancato, Iacer Calixto, Ameen Abu-Hanna, Iacopo Vagliano
2023	J	`jnl`	Lifelong learning on evolving graphs under the constraints of imbalanced classes and new classes. Neural Networks Lukas Galke, Iacopo Vagliano, Benedikt Franke, Tobias Zielke, Marcel Hoffmann, Ansgar Scherp
2023	J	`jnl`	Prognostic models of in-hospital mortality of intensive care patients using neural representation of unstructured text: A systematic review and critical appraisal. J. Biomed. Informatics 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
2023	B	`conf`	Soft-Prompt Tuning to Predict Lung Cancer Using Primary Care Free-Text Dutch Medical Notes. AIME Auke Elfrink, Iacopo Vagliano, Ameen Abu-Hanna, Iacer Calixto
2023	J	`jnl`	Soft-prompt tuning to predict lung cancer using primary care free-text Dutch medical notes. CoRR Auke Elfrink, Iacopo Vagliano, Ameen Abu-Hanna, Iacer Calixto
2022	J	`jnl`	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. Int. J. Medical Informatics 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
2022	J	`jnl`	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. Int. J. Medical Informatics 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
2022	—	`conf`	External Validation and Transportability of Models to Predict Acute Kidney Injury in the Intensive Care Unit. ICIMTH Iacopo Vagliano, Carmen Byrne Salsas, Tina Wünn, Martijn C. Schut
2022	J	`jnl`	Recommendations for item set completion: on the semantics of item co-occurrence with data sparsity, input size, and input modalities. Inf. Retr. J. Iacopo Vagliano, Lukas Galke, Ansgar Scherp
2021	—	`conf`	Interpretable and Continuous Prediction of Acute Kidney Injury in the Intensive Care. MIE Iacopo Vagliano, Oleksandra Lvova, Martijn C. Schut
2021	J	`jnl`	Lifelong Learning in Evolving Graphs with Limited Labeled Data and Unseen Class Detection. CoRR Lukas Galke, Iacopo Vagliano, Benedikt Franke, Tobias Zielke, Ansgar Scherp
2021	—	`conf`	Machine Learning, Clinical Notes and Knowledge Graphs for Early Prediction of Acute Kidney Injury in the Intensive Care. ICIMTH Iacopo Vagliano, Wei-Hsiang Hsu, Martijn C. Schut
2021	J	`jnl`	Recommendations for Item Set Completion: On the Semantics of Item Co-Occurrence With Data Sparsity, Input Size, and Input Modalities. CoRR Iacopo Vagliano, Lukas Galke, Ansgar Scherp
2020	J	`jnl`	Incremental Training of Graph Neural Networks on Temporal Graphs under Distribution Shift. CoRR Lukas Galke, Iacopo Vagliano, Ansgar Scherp
2019	B	`conf`	Analyzing the Evolution of Linked Vocabularies. ICWE Mohammad Abdel-Qader, Iacopo Vagliano, Ansgar Scherp
2019	J	`jnl`	Can Graph Neural Networks Go "Online"? An Analysis of Pretraining and Inference. CoRR Lukas Galke, Iacopo Vagliano, Ansgar Scherp
2019	J	`jnl`	Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels. CoRR Lukas Galke, Florian Mai, Iacopo Vagliano, Ansgar Scherp
2019	—	`conf`	Recommending Multimedia Educational Resources on the MOVING Platform. BIR@ECIR Iacopo Vagliano, Sibgha Nazir
2019	—	`conf`	Training Researchers with the MOVING Platform. MMM (2) Iacopo Vagliano, Angela Fessl, Franziska Günther, Thomas Köhler, Vasileios Mezaris, Ahmed Saleh, Ansgar Scherp, Ilija Simic
2018	B	`conf`	Analyzing the Evolution of Vocabulary Terms and Their Impact on the LOD Cloud. ESWC Mohammad Abdel-Qader, Ansgar Scherp, Iacopo Vagliano
2018	A	`conf`	Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels. UMAP Lukas Galke, Florian Mai, Iacopo Vagliano, Ansgar Scherp
2018	J	`jnl`	Open Innovation in the Big Data Era With the MOVING Platform. IEEE Multim. 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
2018	—	`conf`	Using Adversarial Autoencoders for Multi-Modal Automatic Playlist Continuation. RecSys Challenge Iacopo Vagliano, Lukas Galke, Florian Mai, Ansgar Scherp
2017	J	`jnl`	Allied: A Framework for Executing Linked Data-Based Recommendation Algorithms. Int. J. Semantic Web Inf. Syst. Cristhian Figueroa, Iacopo Vagliano, Oscar Rodriguez Rocha, Marco Torchiano, Catherine Faron-Zucker, Juan Carlos Corrales, Maurizio Morisio
2017	—	`—`	Content Recommendation Through Linked Data. Iacopo Vagliano
2017	J	`jnl`	Content Recommendation through Semantic Annotation of User Reviews and Linked Data - An Extended Technical Report. CoRR Iacopo Vagliano, Diego Monti, Ansgar Scherp, Maurizio Morisio
2017	B	`conf`	Content Recommendation through Semantic Annotation of User Reviews and Linked Data. K-CAP Iacopo Vagliano, Diego Monti, Ansgar Scherp, Maurizio Morisio
2017	—	`conf`	SemRevRec: A Recommender System based on User Reviews and Linked Data. RecSys Posters Iacopo Vagliano, Diego Monti, Maurizio Morisio
2017	—	`conf`	Serendipitous Recommendations Through Ontology-Based Contextual Pre-filtering. BDAS Aleksandra Karpus, Iacopo Vagliano, Krzysztof Goczyla
2017	—	`conf`	Tool Integration in the Aerospace Domain: A Case Study. COMPSAC (1) Iacopo Vagliano, Davide Ferretto, Eugenio Brusa, Maurizio Morisio, Laura Valacca
2016	C	`conf`	An Ontology-based Contextual Pre-filtering Technique for Recommender Systems. FedCSIS Aleksandra Karpus, Iacopo Vagliano, Krzysztof Goczyla, Maurizio Morisio
2016	—	`conf`	ReDyAl: A Dynamic Recommendation Algorithm based on Linked Data. CBRecSys@RecSys Iacopo Vagliano, Cristhian Figueroa, Oscar Rodriguez Rocha, Marco Torchiano, Catherine Faron-Zucker, Maurizio Morisio
2015	J	`jnl`	A systematic literature review of Linked Data-based recommender systems. Concurr. Comput. Pract. Exp. Cristhian Figueroa, Iacopo Vagliano, Oscar Rodriguez Rocha, Maurizio Morisio
2015	—	`conf`	DBpedia Mobile Explorer. RTSI Iacopo Vagliano, Marco Marengo, Maurizio Morisio
2015	J	`jnl`	Semantic Annotation and Classification in Practice. IT Prof. Oscar Rodriguez Rocha, Iacopo Vagliano, Cristhian Figueroa, Federico Cairo, Giuseppe Futia, Carlo Alberto Licciardi, Marco Marengo, Federico Morando
2014	—	`conf`	Linked Data-Driven Smart Spaces. NEW2AN Oscar Rodriguez Rocha, Cristhian Figueroa, Iacopo Vagliano, Boris Moltchanov
2013	—	`conf`	Assisted Policy Management for SPARQL Endpoints Access Control. ISWC (Posters & Demos) Luca Costabello, Serena Villata, Iacopo Vagliano, Fabien Gandon