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Vagliano, Iacopo
49  Ergebnisse:
Personensuche X
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1

Autoencoder-Based Prediction of ICU Clinical Codes:

, In: Artificial Intelligence in Medicine; Lecture Notes in Computer Science,
Yordanov, Tsvetan R. ; Abu-Hanna, Ameen ; Ravelli, Anita CJ.. - p. 57-62 , 2023
Link: https://doi.org/10.1007/..
 
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2

Soft-Prompt Tuning to Predict Lung Cancer Using Primary Car..:

, In: Artificial Intelligence in Medicine; Lecture Notes in Computer Science,
Elfrink, Auke ; Vagliano, Iacopo ; Abu-Hanna, Ameen. - p. 193-198 , 2023
Link: https://doi.org/10.1007/..
 
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3

Lifelong learning on evolving graphs under the constraints ..:

Galke, Lukas ; Vagliano, Iacopo ; Franke, Benedikt...
Neural Networks.  164 (2023)  - p. 156-176 , 2023
Link: https://doi.org/10.1016/..
 
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4

Assess and validate predictive performance of models for in..:

Vagliano, Iacopo ; Schut, Martijn C. ; Abu-Hanna, Ameen...
International Journal of Medical Informatics.  167 (2022)  - p. 104863 , 2022
Link: https://doi.org/10.1016/..
 
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5

Machine learning models for predicting acute kidney injury:..:

Vagliano, Iacopo ; Chesnaye, Nicholas C ; Leopold, Jan Hendrik...
Clinical Kidney Journal.  15 (2022)  12 - p. 2266-2280 , 2022
Link: https://doi.org/10.1093/..
 
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6

MOVING: A User-Centric Platform for Online Literacy Trainin..:

, In: Progress in IS; e-Science,
Apaolaza, Aitor ; Backes, Tobias ; Barthold, Sabine... - p. 77-97 , 2021
Link: https://doi.org/10.1007/..
 
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7

MO360MACHINE LEARNING MODELS FOR PREDICTING ACUTE KIDNEY IN..:

Vagliano, Iacopo ; Chesnaye, Nicholas ; Leopold, Jan Hendrik...
Nephrology Dialysis Transplantation.  36 (2021)  Supplement_1 - p. , 2021
Link: https://doi.org/10.1093/..
 
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8

Analyzing the Evolution of Linked Vocabularies:

, In: Lecture Notes in Computer Science; Web Engineering,
Abdel-Qader, Mohammad ; Vagliano, Iacopo ; Scherp, Ansgar - p. 409-424 , 2019
Link: https://doi.org/10.1007/..
 
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9

Using Adversarial Autoencoders for Multi-Modal Automatic Pl..:

, In: Proceedings of the ACM Recommender Systems Challenge 2018,
Vagliano, Iacopo ; Galke, Lukas ; Mai, Florian. - p. 1-6 , 2018
Link: https://dl.acm.org/doi/1..
 
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10

Open Innovation in the Big Data Era With the MOVING Platfor:

Vagliano, Iacopo ; Gunther, Franziska ; Heinz, Matthias...
IEEE MultiMedia.  25 (2018)  3 - p. 8-21 , 2018
Link: https://doi.org/10.1109/..
 
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11

Multi-Modal Adversarial Autoencoders for Recommendations of..:

, In: Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization,
Galke, Lukas ; Mai, Florian ; Vagliano, Iacopo. - p. 197-205 , 2018
Link: https://dl.acm.org/doi/1..
 
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12

Training Researchers with the MOVING Platform:

, In: MultiMedia Modeling; Lecture Notes in Computer Science,
Vagliano, Iacopo ; Fessl, Angela ; Günther, Franziska... - p. 560-565 , 2018
Link: https://doi.org/10.1007/..
 
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13

Content Recommendation through Semantic Annotation of User ..:

, In: Proceedings of the Knowledge Capture Conference,
Vagliano, Iacopo ; Monti, Diego ; Scherp, Ansgar. - p. 1-4 , 2017
Link: https://dl.acm.org/doi/1..
 
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14

A systematic literature review of Linked Data‐based recomme..:

Figueroa, Cristhian ; Vagliano, Iacopo ; Rocha, Oscar Rodríguez.
Concurrency and Computation: Practice and Experience.  27 (2015)  17 - p. 4659-4684 , 2015
Link: https://doi.org/10.1002/..
 
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15

Semantic Annotation and Classification in Practice:

Rocha, Oscar Rodriguez ; Vagliano, Iacopo ; Figueroa, Cristhian...
IT Professional.  17 (2015)  2 - p. 33-39 , 2015
Link: https://doi.org/10.1109/..
 
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