Marco Fraccaro - Department of Applied Mathematics and Computer Science

基本信息

Career Trajectory

Bio

Marco Fraccaro currently works at the Department of Informatics and Mathematical Modelling, Technical University of Denmark.

Research Interests

Papers共 19 篇Author StatisticsCo-AuthorSimilar Experts

By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选

Effective Machine Learning Techniques for Non-English Radiology Report Classification: A Danish Case Study

Alice Schiavone,Lea Marie Pehrson, Silvia Ingala,Rasmus Bonnevie,Marco Fraccaro,Dana Li,Michael Bachmann Nielsen,Desmond Elliott

AIno. 2 (2025): 37

Cited0Views0Bibtex

Clinicians’ Agreement on Extrapulmonary Radiographic Findings in Chest X-Rays Using a Diagnostic Labelling Scheme

Lea Marie Pehrson,Dana Li, Alyas Mayar,Marco Fraccaro, Rasmus Bonnevie, Peter Jagd Sørensen, Alexander Malcom Rykkje, Tobias Thostrup Andersen, Henrik Steglich-Arnholm, Dorte Marianne Rohde Stærk, Lotte Borgwardt,Sune Darkner, Jonathan Frederik Carlsen,Michael Bachmann Nielsen, Silvia Ingala

Diagnostics (Basel, Switzerland)no. 7 (2025)

Cited0Views0WOSBibtex

Performance and Agreement when Annotating Chest X-ray Text Reports—A Preliminary Step in the Development of a Deep Learning-Based Prioritization and Detection System

Dana Li,Lea Marie Pehrson,Rasmus Bonnevie,Marco Fraccaro,Jakob Thrane,Lea Tottrup,Carsten Ammitzbol Lauridsen, Sedrah Butt Balaganeshan,Jelena Jankovic,Tobias Thostrup Andersen, Alyas Mayar,Kristoffer Lindskov Hansen,Jonathan Frederik Carlsen,Sune Darkner,Michael Bachmann Nielsen

DIAGNOSTICS（2023）

Cited1Views0WOSBibtex

Inter- and Intra-Observer Agreement when Using a Diagnostic Labeling Scheme for Annotating Findings on Chest X-rays—An Early Step in the Development of a Deep Learning-Based Decision Support System

Dana Li,Lea Marie Pehrson,Lea Tottrup,Marco Fraccaro,Rasmus Bonnevie,Jakob Thrane,Peter Jagd Sorensen,Alexander Rykkje,Tobias Thostrup Andersen, Henrik Steglich-Arnholm,Dorte Marianne Rohde Staerk,Lotte Borgwardt,Kristoffer Lindskov Hansen,Sune Darkner,Jonathan Frederik Carlsen,Michael Bachmann Nielsen

Diagnostics（2022）

Cited4Views0WOSBibtex

The Added Effect of Artificial Intelligence on Physicians' Performance in Detecting Thoracic Pathologies on CT and Chest X-ray: A Systematic Review

Dana Li,Lea Marie Pehrson,Carsten Ammitzbol Lauridsen,Lea Tottrup,Marco Fraccaro,Desmond Elliott,Hubert Dariusz Zajac,Sune Darkner,Jonathan Frederik Carlsen,Michael Bachmann Nielsen

Diagnostics（2021）

Cited22Views0WOSBibtex

BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling

Lars Maaloe,Marco Fraccaro,Valentin Lievin,Ole Winther

neural information processing systems（2019）

Cited255Views0EIBibtex

255

Generative Temporal Models with Spatial Memory for Partially Observed Environments

Marco Fraccaro,Danilo Jimenez Rezende,Yori Zwols,Alexander Pritzel,S. M. Ali Eslami,Fabio Viola

INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 80（2018）

Cited32Views0EIBibtex

An Efficient Implementation of Riemannian Manifold Hamiltonian Monte Carlo for Gaussian Process Models

Ulrich Paquet,Marco Fraccaro

arXiv: Machine Learning（2018）

Cited23Views0EIBibtex

Machine Learning Meets Mathematical Optimization to Predict the Optimal Production of Offshore Wind Parks

Martina Fischetti,Marco Fraccaro

Computers & Operations Research（2018）

Cited47Views0EIBibtex

Semi-Supervised Generation with Cluster-aware Generative Models

Lars Maaløe,Marco Fraccaro,Ole Winther

arXivorg（2017）

Cited30Views0EIBibtex

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