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ORCIDIacopo Vagliano
Person information
- affiliation: Christian Albrechts University of Kiel, Department of Computer Science, Germany
- affiliation: Polytechnic University of Turin, Dept. of Control and Computer Engineering, Italy
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2020 – today
- 2023
[j10]Iacopo Vagliano
, Maurice Y. Kingma, Dave A. Dongelmans, Dylan W. De Lange, Nicolette F. de Keizer, Martijn C. Schut:
Automated identification of patient subgroups: A case-study on mortality of COVID-19 patients admitted to the ICU. Comput. Biol. Medicine 163: 107146 (2023)- [j9]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:
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 146: 104504 (2023) - [j8]Lukas Galke, Iacopo Vagliano, Benedikt Franke, Tobias Zielke, Marcel Hoffmann, Ansgar Scherp:
Lifelong learning on evolving graphs under the constraints of imbalanced classes and new classes. Neural Networks 164: 156-176 (2023) - [c21]Tsvetan R. Yordanov, Ameen Abu-Hanna, Anita C. J. Ravelli, Iacopo Vagliano:
Autoencoder-Based Prediction of ICU Clinical Codes. AIME 2023: 57-62 - [c20]Auke Elfrink, Iacopo Vagliano, Ameen Abu-Hanna, Iacer Calixto:
Soft-Prompt Tuning to Predict Lung Cancer Using Primary Care Free-Text Dutch Medical Notes. AIME 2023: 193-198 - [c19]Lorenzo Brancato, Iacer Calixto, Ameen Abu-Hanna, Iacopo Vagliano:
Leveraging Multi-Word Concepts to Predict Acute Kidney Injury in Intensive Care. ICIMTH 2023: 10-13 - [i8]Auke Elfrink, Iacopo Vagliano, Ameen Abu-Hanna, Iacer Calixto:
Soft-prompt tuning to predict lung cancer using primary care free-text Dutch medical notes. CoRR abs/2303.15846 (2023) - [i7]Tsvetan R. Yordanov, Ameen Abu-Hanna, Anita C. J. Ravelli, Iacopo Vagliano:
Autoencoder-based prediction of ICU clinical codes. CoRR abs/2305.04992 (2023) - 2022
- [j7]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:
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 160: 104688 (2022) - [j6]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:
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 167: 104863 (2022) - [j5]Iacopo Vagliano, Lukas Galke, Ansgar Scherp:
Recommendations for item set completion: on the semantics of item co-occurrence with data sparsity, input size, and input modalities. Inf. Retr. J. 25(3): 269-305 (2022) - [c18]Iacopo Vagliano, Carmen Byrne Salsas, Tina Wünn, Martijn C. Schut:
External Validation and Transportability of Models to Predict Acute Kidney Injury in the Intensive Care Unit. ICIMTH 2022: 148-151 - 2021
- [c17]Iacopo Vagliano, Wei-Hsiang Hsu, Martijn C. Schut:
Machine Learning, Clinical Notes and Knowledge Graphs for Early Prediction of Acute Kidney Injury in the Intensive Care. ICIMTH 2021: 329-332 - [c16]Iacopo Vagliano, Oleksandra Lvova, Martijn C. Schut:
Interpretable and Continuous Prediction of Acute Kidney Injury in the Intensive Care. MIE 2021: 103-107 - [i6]Iacopo Vagliano, Lukas Galke, Ansgar Scherp:
Recommendations for Item Set Completion: On the Semantics of Item Co-Occurrence With Data Sparsity, Input Size, and Input Modalities. CoRR abs/2105.04376 (2021) - [i5]Lukas Galke, Iacopo Vagliano, Benedikt Franke, Tobias Zielke, Ansgar Scherp:
Lifelong Learning in Evolving Graphs with Limited Labeled Data and Unseen Class Detection. CoRR abs/2112.10558 (2021) - 2020
- [i4]Lukas Galke, Iacopo Vagliano, Ansgar Scherp:
Incremental Training of Graph Neural Networks on Temporal Graphs under Distribution Shift. CoRR abs/2006.14422 (2020)
2010 – 2019
- 2019
- [c15]Iacopo Vagliano, Sibgha Nazir:
Recommending Multimedia Educational Resources on the MOVING Platform. BIR@ECIR 2019: 148-158 - [c14]Mohammad Abdel-Qader, Iacopo Vagliano, Ansgar Scherp:
Analyzing the Evolution of Linked Vocabularies. ICWE 2019: 409-424 - [c13]Iacopo Vagliano, Angela Fessl, Franziska Günther, Thomas Köhler, Vasileios Mezaris, Ahmed Saleh, Ansgar Scherp, Ilija Simic:
Training Researchers with the MOVING Platform. MMM (2) 2019: 560-565 - [d1]Mohammad Abdel-Qader, Iacopo Vagliano, Ansgar Scherp:
Statistics of the Network of Linked Vocabularies. Zenodo, 2019
- [i3]Lukas Galke, Iacopo Vagliano, Ansgar Scherp:
Can Graph Neural Networks Go "Online"? An Analysis of Pretraining and Inference. CoRR abs/1905.06018 (2019) - [i2]Lukas Galke, Florian Mai, Iacopo Vagliano, Ansgar Scherp:
Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels. CoRR abs/1907.12366 (2019) - 2018
- [j4]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:
Open Innovation in the Big Data Era With the MOVING Platform. IEEE Multim. 25(3): 8-21 (2018) - [c12]Mohammad Abdel-Qader, Ansgar Scherp, Iacopo Vagliano:
Analyzing the Evolution of Vocabulary Terms and Their Impact on the LOD Cloud. ESWC 2018: 1-16 - [c11]Iacopo Vagliano, Lukas Galke, Florian Mai, Ansgar Scherp:
Using Adversarial Autoencoders for Multi-Modal Automatic Playlist Continuation. RecSys Challenge 2018: 5:1-5:6 - [c10]Lukas Galke, Florian Mai, Iacopo Vagliano, Ansgar Scherp:
Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels. UMAP 2018: 197-205 - 2017
- [b1]Iacopo Vagliano:
Content Recommendation Through Linked Data. Polytechnic University of Turin, Italy, 2017 - [j3]Cristhian Figueroa, Iacopo Vagliano, Oscar Rodriguez Rocha, Marco Torchiano, Catherine Faron-Zucker, Juan Carlos Corrales, Maurizio Morisio:
Allied: A Framework for Executing Linked Data-Based Recommendation Algorithms. Int. J. Semantic Web Inf. Syst. 13(4): 134-154 (2017) - [c9]Aleksandra Karpus, Iacopo Vagliano, Krzysztof Goczyla:
Serendipitous Recommendations Through Ontology-Based Contextual Pre-filtering. BDAS 2017: 246-259 - [c8]Iacopo Vagliano, Davide Ferretto, Eugenio Brusa, Maurizio Morisio, Laura Valacca:
Tool Integration in the Aerospace Domain: A Case Study. COMPSAC (1) 2017: 731-736 - [c7]Iacopo Vagliano, Diego Monti, Ansgar Scherp, Maurizio Morisio:
Content Recommendation through Semantic Annotation of User Reviews and Linked Data. K-CAP 2017: 32:1-32:4 - [c6]Iacopo Vagliano, Diego Monti, Maurizio Morisio:
SemRevRec: A Recommender System based on User Reviews and Linked Data. RecSys Posters 2017 - [i1]Iacopo Vagliano, Diego Monti, Ansgar Scherp, Maurizio Morisio:
Content Recommendation through Semantic Annotation of User Reviews and Linked Data - An Extended Technical Report. CoRR abs/1709.09973 (2017) - 2016
- [c5]Aleksandra Karpus, Iacopo Vagliano, Krzysztof Goczyla, Maurizio Morisio:
An Ontology-based Contextual Pre-filtering Technique for Recommender Systems. FedCSIS 2016: 411-420 - [c4]Iacopo Vagliano, Cristhian Figueroa, Oscar Rodriguez Rocha, Marco Torchiano, Catherine Faron-Zucker, Maurizio Morisio:
ReDyAl: A Dynamic Recommendation Algorithm based on Linked Data. CBRecSys@RecSys 2016: 31-38 - 2015
- [j2]Cristhian Figueroa, Iacopo Vagliano, Oscar Rodriguez Rocha, Maurizio Morisio:
A systematic literature review of Linked Data-based recommender systems. Concurr. Comput. Pract. Exp. 27(17): 4659-4684 (2015) - [j1]Oscar Rodriguez Rocha, Iacopo Vagliano, Cristhian Figueroa, Federico Cairo, Giuseppe Futia, Carlo Alberto Licciardi, Marco Marengo, Federico Morando:
Semantic Annotation and Classification in Practice. IT Prof. 17(2): 33-39 (2015) - [c3]Iacopo Vagliano, Marco Marengo, Maurizio Morisio:
DBpedia Mobile Explorer. RTSI 2015: 181-185 - 2014
- [c2]Oscar Rodriguez Rocha, Cristhian Figueroa, Iacopo Vagliano, Boris Moltchanov:
Linked Data-Driven Smart Spaces. NEW2AN 2014: 3-15 - 2013
- [c1]Luca Costabello, Serena Villata, Iacopo Vagliano, Fabien Gandon:
Assisted Policy Management for SPARQL Endpoints Access Control. ISWC (Posters & Demos) 2013: 33-36
Coauthor Index
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