Search results for "Processi"
showing 10 items of 9638 documents
Controllo dell’informazione e rischio democratico
2011
Il saggio analizza il rapporto tra controllo dell’informazione e rischio democratico. Si parte dall’analisi del nesso che lega sapere e potere per esplorare sia gli aspetti più oscuri connessi all’esercizio della cosiddetta violenza simbolica, sia – al contrario – la possibilità di utilizzare la teoria criminologica come “arma di pacificazione” e strumento per fare emergere il nesso che lega pace e giustizia sociale. Di fronte al pericolo di una incipiente normalizzazione – anche cognitiva – dell’illegalità occorre recuperare un uso del sapere come strumento di promozione della persona e “arma” di disvelamento delle iniquità. Se la tendenza attuale ci prospetta un progressivo e planetario t…
Métodos para la caracterización del sistema de revisión por pares de artículos científicos
2022
El proceso de revisión por pares constituye una pieza clave de los engranajes que componen el sistema de publicación de la ciencia. Este vela por la calidad, integridad, reproducibilidad y robustez de los trabajos que se envían a las revistas científicas y es objeto continuo de estudio y discusión en la comunidad científica, involucrando a autores, editores y revisores en una tarea conjunta plagada de procesos sociales que se manifiestan a modo de negociación entre las diferentes partes, asumiendo el editor el papel de árbitro. A su vez, el proceso de revisión por pares es la insignia de calidad de las propias revistas. Mantener unos altos estándares y hacer del sistema de revisión un eleme…
Inclusive Decision-making and Campaign: The Participation of Second Generation Migrants for Preventing Radicalization
2019
This paper deals with the analysis of the first results of Oltre project (ISF - DG Migration and Home Affairs, EU) funding for preventing the radicalization of the second-generation of migrants. The non-standard field research was intertwined with online social network profiles investigation. We present the off-line research results. Starting from the different dimensions of the risk of radicalization proposed by the kaleidoscopic overview of risk factors (Sieckelinck and Gielen 2018: 5; Ranstorp 2016), we created a topic guide for the indepth qualitative interviews collecting 42 interviews of 2G youths (18-30 years) in 7 Italian towns, interviewing also several privileged testimonies. Then…
Analysis of microtomographic images of porous heterogeneous materials
2015
In this work, we study the phases of image processing chain of microtomographic imag- ing in order to obtain reliable results while optimizing the time spent on denoising and segmentation. We consider that the decisions made at the early phases of the processing chain are most important and the selection made there essentially determine the overall quality of imaging process. We also compare here various denoising method qualita- tively, however, we think that the pure noise removal ability is not the only requirement for noise removal in microtomographic images. By proper denoising we can affect selec- tion of segmentation methods and, thus, also the quality of the analysis. Additionally, …
Dynamic assessment of word derivational knowledge: Tracing the development of a learner
2016
The present paper reports on a case study that explored the applicability of dynamic assessment (DA) for promoting learners’ word derivational knowledge in English as a second or a foreign language (L2). One learner’s performance on tasks assessing his word derivational knowledge was measured four times. The first two measurements were conducted before and after three weekly human-mediated DA sessions and the last two, which took place a year and a half later, before and after three weekly computerised DA sessions. Think aloud protocols and interviews were used to trace changes in the learner’s use of strategies and knowledge sources. The results revealed that following the dynamic assessme…
Cognitive Linguistics as the Underlying Framework for Semantic Annotation
2012
In recent years many attempts have been made to design suitable sets of rules aimed at extracting the semantic meaning from plain text, and to achieve annotation, but very few approaches make extensive use of grammars. Current systems are mainly focused on extracting the semantic role of the entities described in the text. This approach has limitations: in such applications the semantic role is conceived merely as the meaning of the involved entities without considering their context. As an example, current semantic annotators often specify a date entity without any annotation regarding the kind of the date itself i.e. a birth date, a book publication date, and so on. Moreover, these system…
Cognitive Computing supported Medical Decision Support System for Patient’s Driving Assessment
2018
To smartly utilize a huge and constantly growing volume of data, improve productivity and increase competitiveness in various fields of life; human requires decision making support systems that efficiently process and analyze the data, and, as a result, significantly speed up the process. Similarly to all other areas of human life, healthcare domain also is lacking Artificial Intelligence (AI) based solution. A number of supervised and unsupervised Machine Learning and Data Mining techniques exist to help us to deal with structured data. However, in a real life, we pretty much deal with unstructured data that hides useful knowledge and valuable information inside human-readable plain texts,…
Automated Detection of Microaneurysms Using Scale-Adapted Blob Analysis and Semi-Supervised Learning
2014
International audience; Despite several attempts, automated detection of microaneurysm (MA) from digital fundus images still remains to be an open issue. This is due to the subtle nature of MAs against the surrounding tissues. In this paper, the microaneurysm detection problem is modeled as finding interest regions or blobs from an image and an automatic local-scale selection technique is presented. Several scale-adapted region descriptors are then introduced to characterize these blob regions. A semi-supervised based learning approach, which requires few manually annotated learning examples, is also proposed to train a classifier to detect true MAs. The developed system is built using only…
Towards Equivalence Links between Senses in PlWordNet and Princeton WordNet
2017
AbstractThe paper focuses on the issue of creating equivalence links in the domain of bilingual computational lexicography. The existing interlingual links between plWordNet and Princeton WordNet synsets (sets of synonymous lexical units – lemma and sense pairs) are re-analysed from the perspective of equivalence types as defined in traditional lexicography and translation. Special attention is paid to cognitive and translational equivalents. A proposal of mapping lexical units is presented. Three types of links are defined: super-strong equivalence, strong equivalence and weak implied equivalence. The strong equivalences have a common set of formal, semantic and usage features, with some o…