Search Results - "Fraccaro, Marco"

The Added Effect of Artificial Intelligence on Physicians' Performance in Detecting Thoracic Pathologies on CT and Chest X-ray: A Systematic Review by Li, Dana, Pehrson, Lea Marie, Lauridsen, Carsten Ammitzbøl, Tøttrup, Lea, Fraccaro, Marco, Elliott, Desmond, Zając, Hubert Dariusz, Darkner, Sune, Carlsen, Jonathan Frederik, Nielsen, Michael Bachmann

“…Our systematic review investigated the additional effect of artificial intelligence-based devices on human observers when diagnosing and/or detecting thoracic…”
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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 by Li, Dana, Pehrson, Lea Marie, Bonnevie, Rasmus, Fraccaro, Marco, Thrane, Jakob, Tøttrup, Lea, Lauridsen, Carsten Ammitzbøl, Butt Balaganeshan, Sedrah, Jankovic, Jelena, Andersen, Tobias Thostrup, Mayar, Alyas, Hansen, Kristoffer Lindskov, Carlsen, Jonathan Frederik, Darkner, Sune, Nielsen, Michael Bachmann

“…A chest X-ray report is a communicative tool and can be used as data for developing artificial intelligence-based decision support systems. For both,…”
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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 by Li, Dana, Pehrson, Lea Marie, Tøttrup, Lea, Fraccaro, Marco, Bonnevie, Rasmus, Thrane, Jakob, Sørensen, Peter Jagd, Rykkje, Alexander, Andersen, Tobias Thostrup, Steglich-Arnholm, Henrik, Stærk, Dorte Marianne Rohde, Borgwardt, Lotte, Hansen, Kristoffer Lindskov, Darkner, Sune, Carlsen, Jonathan Frederik, Nielsen, Michael Bachmann

“…Consistent annotation of data is a prerequisite for the successful training and testing of artificial intelligence-based decision support systems in radiology…”
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Machine learning meets mathematical optimization to predict the optimal production of offshore wind parks by Fischetti, Martina, Fraccaro, Marco

“…In this paper we propose a combination of Mathematical Optimization and Machine Learning to estimate the value of optimized solutions. In particular, we…”
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Xp Duplications and Sex Reversal [and Discussion] by Zanaria, Elena, Bardoni, Barbara, Dabovic, Branka, Calvari, Vladimiro, Fraccaro, Marco, Zuffardi, Orsetta, Camerino, Giovanna, Graves, J. A. M., McLaren, A.

“…Male to female sex reversal has been observed in individuals with duplications of the short arm of the X chromosome. The study of Xp duplicated patients…”
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An Efficient Implementation of Riemannian Manifold Hamiltonian Monte Carlo for Gaussian Process Models by Paquet, Ulrich, Fraccaro, Marco

“…This technical report presents pseudo-code for a Riemannian manifold Hamiltonian Monte Carlo (RMHMC) method to efficiently simulate samples from…”
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A deep learning approach to adherence detection for type 2 diabetics by Mohebbi, Ali, Aradottir, Tinna B., Johansen, Alexander R., Bengtsson, Henrik, Fraccaro, Marco, Morup, Morten

“…Diabetes has become one of the biggest health problems in the world. In this context, adherence to insulin treatment is essential in order to avoid…”
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BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling by Maaløe, Lars, Fraccaro, Marco, Liévin, Valentin, Winther, Ole

“…With the introduction of the variational autoencoder (VAE), probabilistic latent variable models have received renewed attention as powerful generative models…”
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Semi-Supervised Generation with Cluster-aware Generative Models by Maaløe, Lars, Fraccaro, Marco, Winther, Ole

“…Deep generative models trained with large amounts of unlabelled data have proven to be powerful within the domain of unsupervised learning. Many real life data…”
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An Adaptive Resample-Move Algorithm for Estimating Normalizing Constants by Fraccaro, Marco, Paquet, Ulrich, Winther, Ole

“…The estimation of normalizing constants is a fundamental step in probabilistic model comparison. Sequential Monte Carlo methods may be used for this task and…”
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A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning by Fraccaro, Marco, Kamronn, Simon, Paquet, Ulrich, Winther, Ole

“…This paper takes a step towards temporal reasoning in a dynamically changing video, not in the pixel space that constitutes its frames, but in a latent space…”
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A road by any other name by Fraccaro, Marco

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Generative Temporal Models with Spatial Memory for Partially Observed Environments by Fraccaro, Marco, Rezende, Danilo Jimenez, Zwols, Yori, Pritzel, Alexander, Eslami, S. M. Ali, Viola, Fabio

“…In model-based reinforcement learning, generative and temporal models of environments can be leveraged to boost agent performance, either by tuning the agent's…”
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Homozygous and Compound Heterozygous Mutations at the Werner Syndrome Locus by Oshima, Junko, Yu, Chang-En, Piussan, Charles, Klein, Georg, Jabkowski, Jörg, Balci, Sevim, Miki, Tetsuro, Nakura, Jun, Ogihara, Toshio, Ells, James, Smith, Marilia de A. C., Melaragno, Maria I., Fraccaro, Marco, Scappaticci, Susi, Matthews, John, Ouais, Samir, Jarzebowicz, Amy, Schellenberg, Gerard D., Martin, George M.

“…The Werner syndrome (WS) is a rare autosomal recessive progeroid disorder. The Werner syndrome gene (WRN) has recently been identified as a member of the…”
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Sequential Neural Models with Stochastic Layers by Fraccaro, Marco, Sønderby, Søren Kaae, Paquet, Ulrich, Winther, Ole

“…How can we efficiently propagate uncertainty in a latent state representation with recurrent neural networks? This paper introduces stochastic recurrent neural…”
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Power and money by FRACCARO, MARCO

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A deletion map of the human Yq11 region: implications for the evolution of the Y chromosome and tentative mapping of a locus involved in spermatogenesis by Bardoni, B, Zuffardi, O, Guioli, S, Ballabio, A, Simi, P, Cavalli, P, Grimoldi, M G, Fraccaro, M, Camerino, G

“…A deletion map of Yq11 has been constructed by analyzing 23 individuals bearing structural abnormalities (isochromosomes, terminal deletions and X;Y, Y;X, or…”
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Capital idea by FRACCARO, MARCO

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University rows by FRACCARO, MARCO

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