Institution
University of Udine
Education•Udine, Italy•
About: University of Udine is a education organization based out in Udine, Italy. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 6745 authors who have published 20530 publications receiving 669088 citations. The organization is also known as: Università degli Studi di Udine & Universita degli Studi di Udine.
Papers published on a yearly basis
Papers
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TL;DR: The proposed work addresses anomaly detection by means of trajectory analysis, an approach with several application fields, most notably video surveillance and traffic monitoring, based on single-class support vector machine (SVM) clustering, where the novelty detection SVM capabilities are used for the identification of anomalous trajectories.
Abstract: During the last years, the task of automatic event analysis in video sequences has gained an increasing attention among the research community. The application domains are disparate, ranging from video surveillance to automatic video annotation for sport videos or TV shots. Whatever the application field, most of the works in event analysis are based on two main approaches: the former based on explicit event recognition, focused on finding high-level, semantic interpretations of video sequences, and the latter based on anomaly detection. This paper deals with the second approach, where the final goal is not the explicit labeling of recognized events, but the detection of anomalous events differing from typical patterns. In particular, the proposed work addresses anomaly detection by means of trajectory analysis, an approach with several application fields, most notably video surveillance and traffic monitoring. The proposed approach is based on single-class support vector machine (SVM) clustering, where the novelty detection SVM capabilities are used for the identification of anomalous trajectories. Particular attention is given to trajectory classification in absence of a priori information on the distribution of outliers. Experimental results prove the validity of the proposed approach.
507 citations
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TL;DR: It is shown that autologous transgenic keratinocyte cultures regenerated an entire, fully functional epidermis on a seven-year-old child suffering from a devastating, life-threatening form of JEB, providing a blueprint that can be applied to other stem cell-mediated combined ex vivo cell and gene therapies.
Abstract: Junctional epidermolysis bullosa (JEB) is a severe and often lethal genetic disease caused by mutations in genes encoding the basement membrane component laminin-332. Surviving patients with JEB develop chronic wounds to the skin and mucosa, which impair their quality of life and lead to skin cancer. Here we show that autologous transgenic keratinocyte cultures regenerated an entire, fully functional epidermis on a seven-year-old child suffering from a devastating, life-threatening form of JEB. The proviral integration pattern was maintained in vivo and epidermal renewal did not cause any clonal selection. Clonal tracing showed that the human epidermis is sustained not by equipotent progenitors, but by a limited number of long-lived stem cells, detected as holoclones, that can extensively self-renew in vitro and in vivo and produce progenitors that replenish terminally differentiated keratinocytes. This study provides a blueprint that can be applied to other stem cell-mediated combined ex vivo cell and gene therapies. Autologous transgenic epidermal stem cell cultures are used to reconstitute almost the entire epidermis of a patient with severe junctional epidermolysis bullosa. Patients with junctional epidermolysis bullosa (JEB) carry mutations in genes that encode components of the basement membrane, which ensures the integrity between the epidermis and the dermis, such as laminin-332. These mutations cause blistering of the skin and chronic wounds. Following initial treatment of an adult patient with a limited affected region, Michele De Luca and colleagues reconstruct the full epidermis of a 7-year-old patient with autologous transgenic cells transduced with a virus vector carrying the non-mutated form of laminin-322. The integration sites of the virus used for gene delivery provide a tracing tool ex vivo and in vivo and demonstrate that the human epidermis is sustained by a limited number of long-lived stem cells.
506 citations
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TL;DR: In this article, detailed measurements of the electron performance of the ATLAS detector at the LHC were reported, using decays of the Z, W and J/psi particles.
Abstract: Detailed measurements of the electron performance of the ATLAS detector at the LHC are reported, using decays of the Z, W and J/psi particles. Data collected in 2010 at root s = 7 TeV are used, corresponding to an integrated luminosity of almost 40 pb(-1). The inter-alignment of the inner detector and the electromagnetic calorimeter, the determination of the electron energy scale and resolution, and the performance in terms of response uniformity and linearity are discussed. The electron identification, reconstruction and trigger efficiencies, as well as the charge misidentification probability, are also presented.
505 citations
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TL;DR: Zhang et al. as mentioned in this paper proposed a convolutional long short-term memory (LSTM) network to iteratively refine the predicted saliency map by focusing on the most salient regions of the input image.
Abstract: Data-driven saliency has recently gained a lot of attention thanks to the use of convolutional neural networks for predicting gaze fixations. In this paper, we go beyond standard approaches to saliency prediction, in which gaze maps are computed with a feed-forward network, and present a novel model which can predict accurate saliency maps by incorporating neural attentive mechanisms. The core of our solution is a convolutional long short-term memory that focuses on the most salient regions of the input image to iteratively refine the predicted saliency map. In addition, to tackle the center bias typical of human eye fixations, our model can learn a set of prior maps generated with Gaussian functions. We show, through an extensive evaluation, that the proposed architecture outperforms the current state-of-the-art on public saliency prediction datasets. We further study the contribution of each key component to demonstrate their robustness on different scenarios.
503 citations
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TL;DR: In this article, the luminosity calibration for the ATLAS detector at the LHC during pp collisions at root s = 7 TeV in 2010 and 2011 is presented, and a luminosity uncertainty of delta L/L = +/- 3.5 % is obtained.
Abstract: The luminosity calibration for the ATLAS detector at the LHC during pp collisions at root s = 7 TeV in 2010 and 2011 is presented. Evaluation of the luminosity scale is performed using several luminosity-sensitive detectors, and comparisons are made of the long-term stability and accuracy of this calibration applied to the pp collisions at root s = 7 TeV. A luminosity uncertainty of delta L/L = +/- 3.5 % is obtained for the 47 pb(-1) of data delivered to ATLAS in 2010, and an uncertainty of delta L/L = +/- 1.8 % is obtained for the 5.5 fb(-1) delivered in 2011.
499 citations
Authors
Showing all 6857 results
Name | H-index | Papers | Citations |
---|---|---|---|
M.-Marsel Mesulam | 150 | 558 | 90772 |
Francesco Longo | 142 | 745 | 89859 |
Georges Aad | 135 | 1121 | 88811 |
Bobby Samir Acharya | 133 | 1121 | 100545 |
G. Della Ricca | 133 | 1598 | 92678 |
Marina Cobal | 132 | 1078 | 85437 |
Fernando Barreiro | 130 | 1082 | 83413 |
Saverio D'Auria | 129 | 1142 | 83684 |
Jean-Francois Grivaz | 128 | 1322 | 97758 |
Evgeny Starchenko | 128 | 864 | 75913 |
Muhammad Alhroob | 127 | 880 | 71982 |
Michele Pinamonti | 126 | 846 | 69328 |
Reisaburo Tanaka | 126 | 967 | 69849 |
Kerim Suruliz | 126 | 795 | 69456 |
Kate Shaw | 125 | 841 | 70087 |