Search results for "informatica"

showing 10 items of 1003 documents

PDB: A pictorial database oriented to data analysis

1993

The paper describes a new pictorial database oriented to image analysis, implemented inside the MIDAS data analysis system. Pictorial databases need expressive data structures in order to represent a wide class of information from the numerical to the visual. The model of the database is relational; however, a full normalization is not achievable, owing to the complexity of the visual information. The paper reports the general design and notes on the software implementation. Preliminary experiments show the performance of the pictorial database. Copyright © 1993 John Wiley & Sons, Ltd

DatabaseSettore INF/01 - InformaticaRelational databaseComputer scienceNormalization (image processing)InformationSystems_DATABASEMANAGEMENTcomputer.software_genreData structureDatabase designPictorial databaseData analysis systemSystems designInformation retrievalManagement and queryRelational databaseDatabase theoryImage analysicomputerSoftwareDatabase model
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Distributed Image Databases: Hybrid Similarity Functions

1998

DatabaseSettore INF/01 - InformaticaRicerca per ImmaginiFunzioni di similarità
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FABC: Retinal Vessel Segmentation Using AdaBoost

2010

This paper presents a method for automated vessel segmentation in retinal images. For each pixel in the field of view of the image, a 41-D feature vector is constructed, encoding information on the local intensity structure, spatial properties, and geometry at multiple scales. An AdaBoost classifier is trained on 789 914 gold standard examples of vessel and nonvessel pixels, then used for classifying previously unseen images. The algorithm was tested on the public digital retinal images for vessel extraction (DRIVE) set, frequently used in the literature and consisting of 40 manually labeled images with gold standard. Results were compared experimentally with those of eight algorithms as we…

Databases FactualComputer scienceFeature vectorFeature extractionNormal DistributionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processingModels BiologicalEdge detectionArtificial IntelligenceImage Processing Computer-AssistedHumansSegmentationComputer visionAdaBoostFluorescein AngiographyElectrical and Electronic EngineeringTraining setPixelContextual image classificationSettore INF/01 - Informaticabusiness.industryReproducibility of ResultsRetinal VesselsWavelet transformBayes TheoremPattern recognitionGeneral MedicineImage segmentationComputer Science ApplicationsComputingMethodologies_PATTERNRECOGNITIONROC CurveTest setAdaBoost classifier retinal images vessel segmentationArtificial intelligencebusinessAlgorithmsBiotechnology
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An automated image analysis methodology for classifying megakaryocytes in chronic myeloproliferative disorders

2008

This work describes an automatic method for discrimination in microphotographs between normal and pathological human megakaryocytes and between two kinds of disorders of these cells. A segmentation procedure has been developed, mainly based on mathematical morphology and wavelet transform, to isolate the cells. The features of each megakaryocyte (e.g. area, perimeter and tortuosity of the cell and its nucleus, and shape complexity via elliptic Fourier transform) are used by a regression tree procedure applied twice: the first time to find the set of normal megakaryocytes and the second to distinguish between the pathologies. The output of our classifier has been compared to the interpretati…

Decision treeReproducibility of ResultHealth InformaticsMathematical morphologySensitivity and SpecificityWavelet analysiPattern Recognition Automatedsymbols.namesakeWaveletMegakaryocyteMegakaryocyteArtificial IntelligenceImage Interpretation Computer-AssistedmedicineAnimalsHumansRadiology Nuclear Medicine and imagingComputer visionSegmentationMyeloproliferative DisorderCells Cultured1707MathematicsHealth InformaticMyeloproliferative DisordersSettore INF/01 - InformaticaRadiological and Ultrasound TechnologyAnimalbusiness.industryMorphometryReproducibility of ResultsWavelet transformPattern recognitionAutomatic classification; Elliptic Fourier transform; Morphometry; Wavelet analysis; Animals; Cells Cultured; Humans; Image Enhancement; Image Interpretation Computer-Assisted; Megakaryocytes; Myeloproliferative Disorders; Pattern Recognition Automated; Reproducibility of Results; Sensitivity and Specificity; Algorithms; Artificial Intelligence; Computer Graphics and Computer-Aided Design; 1707; Radiology Nuclear Medicine and Imaging; Health Informatics; Radiological and Ultrasound TechnologyImage EnhancementComputer Graphics and Computer-Aided DesignAlgorithmFourier transformmedicine.anatomical_structuresymbolsAutomatic classificationElliptic Fourier transformComputer Vision and Pattern RecognitionArtificial intelligencebusinessMegakaryocytesClassifier (UML)AlgorithmsHumanMedical Image Analysis
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A recurrent deep neural network model to measure sentence complexity for the Italian Language

2019

Text simplification (TS) is a natural language processing task devoted to the modification of a text in such a way that the grammar and structure of the phrases is greatly simplified, preserving the underlying meaning and information contents. In this paper we give a contribution to the TS field presenting a deep neural network model able to detect the complexity of italian sentences. In particular, the system gives a score to an input text that identifies the confidence level during the decision making process and that could be interpreted as a measure of the sentence complexity. Experiments have been carried out on one public corpus of Italian texts created specifically for the task of TS…

Deep Neural NetworksText Simplification Natural Language Processing Deep Neural NetworksSettore INF/01 - InformaticaComputingMethodologies_DOCUMENTANDTEXTPROCESSINGAutomatic Text Complexity EvaluationNLP
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Unambiguous recognizable two-dimensional languages

2006

We consider the family UREC of unambiguous recognizable two-dimensional languages. We prove that there are recognizable languages that are inherently ambiguous, that is UREC family is a proper subclass of REC family. The result is obtained by showing a necessary condition for unambiguous recognizable languages. Further UREC family coincides with the class of picture languages defined by unambiguous 2OTA and it strictly contains its deterministic counterpart. Some closure and non-closure properties of UREC are presented. Finally we show that it is undecidable whether a given tiling system is unambiguous.

DeterminismSettore INF/01 - InformaticaDeterministic context-free languageGeneral MathematicsTwo-dimensional languagesAutomata and formal languages; Determinism; Two-dimensional languages; UnambiguityComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Class (philosophy)Computer Science ApplicationsUndecidable problemAutomata and Formal Languages. ; Unambiguity ; Determinism. .; Two-dimensional languagesCombinatoricsClosure (mathematics)Computer Science::Programming LanguagesAutomata and formal languagesDeterminism.ArithmeticComputer Science::Formal Languages and Automata TheorySoftwareUnambiguityMathematics
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Forme del testo digitale

2017

L'articolo costituisce una riflessione sulla modellizzazione dei testi appartenenti alla nostra tradizione culturale in questa fase aurorale della Filologia Digitale e parte dalla domanda: che "forma" stiamo dando ai nostri testi? Vengono asplorati tre aspetti per cui i nostri modelli testuali riflettono i nostri presupposti culturali e tecnologici: in primo luogo, il modello gerarchico OHCO che sta alla base di TEI XML; in secondo luogo, il modello sequenziale alfabetico basato sulla stampa delle lingue occidentali, che sta alla base di Unicode. Un terzo aspetto, poi, è il meno esplorato nella ricerca: protocolli per la citazione testuale come CITE/CTS sono basati su corpora specifici. Per…

Digital HumanitiesCITETLGInformatica umanistica XML CITE CTS TLG PHI UnicodeXMLUnicodeInformatica umanistica; XML; CITE; CTS; TLG; PHI; Unicode; Digital Humanities; XML; CITE; CTS; TLG; PHI; UnicodePHIDigital Humanities XML CITE CTS TLG PHI UnicodeSettore L-FIL-LET/05 - Filologia ClassicaInformatica umanisticaCTS
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Are tools all we need? Digital Humanities in the time of its institutionalisation

2011

Three key features of the Digital Humanities today are its quantitative growth, its institutionalisation and its definition as a discipline. In the first part of this article (2. Institutional models) I shall pinpoint some models of institutionalisation that are emerging in the international scenario. Against this background, I shall then discuss (3. Tools) some concepts central to Digital Humanities’ self-definition, such as those of practice, ‘building’, centre, project, product and tools, particularly questioning the opinion that the creation of friendly digital tools is the key issue in the future of the field. I shall finally suggest that ‘instrumentalism’, ‘project fever’ and an exces…

Digital HumanitiesInformatica Umanistica; strumenti; Digital Humanities; toolsDigital Humanities toolstoolsComputational linguistics. Natural language processingBD143-237strumentiEpistemology. Theory of knowledgeP98-98.5Informatica Umanistica strumentiInformatica Umanistica
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Consolidation

2021

magazén - International Journal for Digital and Public Humanities is the interdisciplinary journal of the Venice Centre for Digital and Public Humanities (VeDPH) based at the Department of Humanities at Ca’ Foscari University of Venice undergoing double blind peer review and published twice per year in open access by Edizioni Ca’ Foscari. The articles of this volume focus on the consolidation of scholarly practices and research models circulating in the international scholarly context of Digital and Public Humanities addressing the concept of ‘consolidations’ from different perspectives and with different methodological approaches and presenting a varied and yet intertwined landscape.

Digital HumanitiesSettore INF/01 - InformaticaDigital Humanities Public HumanitiesSettore L-FIL-LET/08 - Letteratura Latina Medievale e UmanisticaPublic Humanities
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Fusions

2020

FUSIONS

Digital HumanitiesSettore INF/01 - InformaticaDigital Humanities Public HumanitiesSettore L-FIL-LET/08 - Letteratura Latina Medievale e UmanisticaPublic Humanities
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