Search results for "methodologie"
showing 10 items of 2141 documents
Multitask deep learning for native language identification
2020
Identifying the native language of a person by their text written in English (L1 identification) plays an important role in such tasks as authorship profiling and identification. With the current proliferation of misinformation in social media, these methods are especially topical. Most studies in this field have focused on the development of supervised classification algorithms, that are trained on a single L1 dataset. Although multiple labeled datasets are available for L1 identification, they contain texts authored by speakers of different languages and do not completely overlap. Current approaches achieve high accuracy on available datasets, but this is attained by training an individua…
Testing a spectral-based feature set for audio genre classification
2011
Automatic musical genre classification is an important information retrieval task since it can be applied for practical purposes such as the organization of data collections in the digital music industry. However, this task remains an open question because the current state of the art shows far from satisfactory outcomes in terms of classification performance. Moreover, the most common algorithms that are used for this task are not designed for modelling music perception. This study suggests a framework for testing different musical features for use in music genre classification and evaluates the performance of this task based on two musical descriptors. The focus of this study is on automa…
Investigating effects of reading medium and reading purpose on behavioral engagement and textual integration in a multiple text context
2019
Abstract The study addressed to what extent behavioral engagement and textual integration may differ when undergraduate readers work with identical printed versus digital texts in preparation for an exam versus for pleasure. We expected that working with printed texts would lead to greater engagement and better integration than working with digital texts, but that reading purpose would moderate this effect of reading medium because those reading in preparation for an exam would display greater engagement and better integration regardless of reading medium. Results showed interaction effects of reading medium with reading purpose on the behavioral engagement indicators of reading time and th…
Effects of reading real versus print-out versions of multiple documents on students? sourcing and integrated understanding
2018
Abstract This study investigated the extent to which students’ sourcing and comprehension can be supported by the reading of real, as opposed to print-out versions of multiple documents. It was found that the reading of real rather than print-out versions of multiple documents on the issue of climate change increased students’ memory for source information and made them include more specific references to document sources in argument essays that they wrote about the issue. In turn, such increased sourcing in essays mediated the positive effect of reading real versus print-out versions of documents on students’ construction of coherent representations of the documents’ content information. T…
The VST Photometric Hα Survey of the Southern Galactic Plane and Bulge (VPHAS+)
2014
The VST Photometric Halpha Survey of the Southern Galactic Plane and Bulge (VPHAS+) is surveying the southern Milky Way in u, g, r, i and Halpha at 1 arcsec angular resolution. Its footprint spans the Galactic latitude range -5 < b < +5 at all longitudes south of the celestial equator. Extensions around the Galactic Centre to Galactic latitudes +/-10 bring in much of the Galactic Bulge. This ESO public survey, begun on 28th December 2011, reaches down to 20th magnitude (10-sigma) and will provide single-epoch digital optical photometry for around 300 million stars. The observing strategy and data pipelining is described, and an appraisal of the segmented narrowband Halpha filter in us…
The relationship between vigilance capacity and physical exercise: a mixed-effects multistudy analysis
2019
We thank to all the participants who took part in the experiment.
Maintaining dignity in vulnerability: A qualitative study of the residents' perspective on dignity in nursing homes
2016
Postprint tilgjengelig 20.03.17. Background Older people, living in nursing homes, are exposed to diverse situations, which may be associated with loss of dignity. To help them maintain their dignity, it is important to explore, how dignity is preserved in such context. Views of dignity and factors influencing dignity have been studied from both the residents’ and the care providers’ perspective. However, most of these studies pertain to experiences in the dying or the illness context. Knowledge is scarce about how older people experience their dignity within their everyday lives in nursing homes. Aim To illuminate the meaning of maintaining dignity from the perspective of older people livi…
Artificial Neural Network Based Abdominal Organ Segmentations: A Review
2015
There are many neural network based abdominal organ segmentation approaches from medical images. Computed tomography images were mostly used in these approaches. Applied techniques are usually based on prior information regarding position, shape, and size of organs in these methods. In the literature, there are only a few neural network based techniques that were implemented to segment abdominal organs from magnetic resonance based images. In this paper, we present these methods and their results.
Hybrid segmentation and virtual bronchoscopy based on CT images1
2004
Rationale and objectives Introduction of combination of the segmentation tool SegoMeTex and the virtual endoscopy system VIVENDI to perform virtual endoscopic inspections of the human lung. This virtual bronchoscopy system enables visualization of the tracheobronchial tree down to seventh generation. Furthermore, the modified virtual system visualizes hidden structures such as segmented vascular system or tumors. Materials and methods The segmentation is based on image data acquired by a multislice computed tomography scanner. SegoMeTex is used to segment the tracheobronchial tree by a hybrid system with minimal user action. Similarly, the complementary pulmonary arterial can be segmented, …
GPCALMA: An Italian mammographic database of digitized images for research
2006
In this work the implementation of a database of digitized mammograms is described. The digitized images were collected since 1999 by a community of physicists in collaboration with radiologists in several Italian hospitals, as a first step in order to develop and implement a Computer Aided Detection (CAD) system. 3369 mammograms were collected from 967 patients; they were classified according to the type and the morphology of the lesions, the type of the breast tissue and the type of pathologies. A dedicated Graphical User Interface was developed for mammography visualization and processing, in order to support the medical diagnosis directly on a high-resolution screen. The database has be…