Search results for " retrieval."

showing 10 items of 1102 documents

Semantic technologies for industry: From knowledge modeling and integration to intelligent applications

2013

Artificial Intelligence technologies are growingly used within several software systems ranging from Web services to mobile applications. It is by no doubt true that the more AI algorithms and methods are used the more they tend to depart from a pure "AI" spirit and end to refer to the sphere of standard software. In a sense, AI seems strongly connected with ideas, methods and tools that are not (yet) used by the general public. On the contrary, a more realistic view of it would be a rich and pervading set of successful paradigms and approaches. Industry is currently perceiving semantic technologies as a key contribution of AI to innovation. In this paper a survey of current industrial expe…

Computer scienceKnowledge RepresentationRecommender systemcomputer.software_genreNLPIndustrial ApplicationsWorld Wide WebKnowledge modelingSemantic TechnologiesArtificial Intelligencesemantic searchontologiesKnowledge Representation; Semantic Technologies; Industrial Applicationsinformation retrievalSoftware systembusiness.industrySemantic searchSketchBPMSemantic technologyApplications of artificial intelligenceNLP information retrieval semantic search recommender systems ontologies BPMrecommender systemsWeb servicebusinesscomputerIntelligenza Artificiale
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Design of composite measure schemes for comparative severity assessment in animal-based neuroscience research: A case study focussed on rat epilepsy …

2020

PLOS ONE 15(5), e0230141 (2020). doi:10.1371/journal.pone.0230141

Computer sciencePhysiologyPsychological interventionSocial Sciencescomputer.software_genreOpen fieldField (computer science)Rats Sprague-Dawley0302 clinical medicineMathematical and Statistical TechniquesMedicine and Health SciencesPsychologyCluster Analysis0303 health sciencesPrincipal Component AnalysisMultidisciplinaryAnimal Welfare (journal)Animal BehaviorQStatisticsRAnimal ModelsResearch AssessmentNeurologyExperimental Organism SystemsAnimal SocialityPhysical SciencesMedicineDisease Models Animals epilepsy animal behaviorFemaleLocomotionResearch ArticleScienceSpatial BehaviorContext (language use)Machine learningResearch and Analysis Methods03 medical and health sciencesRobustness (computer science)Animal welfareKindling NeurologicAnimalsRelevance (information retrieval)BurrowingStatistical MethodsSocial BehaviorSelection (genetic algorithm)030304 developmental biologyBehaviorEpilepsybusiness.industryBiological LocomotionBiology and Life SciencesRatsDisease Models AnimalBiological Variation PopulationMultivariate AnalysisAnimal StudiesArtificial intelligenceK Means ClusteringbusinesscomputerZoology030217 neurology & neurosurgeryMathematicsSoftware
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A Software Package for a Serum Bank Management

1979

A serum-bank is a collection of human serum samples coming from different locations (in our case Children Hospital, schools, factories, town departemens), allocated in some archives. Principal users of a such data-bank are, of course, physicians and biologists that are mainly interested in statistical analysis (computation of averages, variances factor analysis, etc.) of immunological and epidemiological relevance, in order to investigate about some haematochemical parameters common to some selected subset of the archives [1], [2].

Computer sciencePrincipal (computer security)Relevance (information retrieval)Statistical analysisOperations managementMarketingSoftware packageSerum samplesBank management
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Special Issue 'Spin Crossover (SCO) Research'

2016

This special issue, entitled “Spin Crossover (SCO) Research”, illustrates the current relevance of a focused topic, which is inturn highly versatile. Indeed, the collection of papers presented constitutes a sampler that shows the topical importance of this area by attracting the interest of many top researchers and how it is approached under a multidisciplinary perspective.[...]

Computer sciencePropietats magnètiquesMagnetoquímicaNanotechnology02 engineering and technology010402 general chemistry021001 nanoscience & nanotechnologyLigands01 natural sciences0104 chemical sciencesElectronic Optical and Magnetic MaterialsLligandsChemistry (miscellaneous)Multidisciplinary approachSpin crossoverMagnetic propertiesMaterials ChemistryRelevance (information retrieval)Engineering ethics0210 nano-technologyMagnetochemistry
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A naive relevance feedback model for content-based image retrieval using multiple similarity measures

2010

This paper presents a novel probabilistic framework to process multiple sample queries in content based image retrieval (CBIR). This framework is independent from the underlying distance or (dis)similarity measures which support the retrieval system, and only assumes mutual independence among their outcomes. The proposed framework gives rise to a relevance feedback mechanism in which positive and negative data are combined in order to optimally retrieve images according to the available information. A particular setting in which users interactively supply feedback and iteratively retrieve images is set both to model the system and to perform some objective performance measures. Several repo…

Computer scienceRelevance feedbackContent-based image retrievalcomputer.software_genreSimilitudeSet (abstract data type)Similarity (network science)Artificial IntelligenceSignal ProcessingComputer Vision and Pattern RecognitionData miningImage retrievalcomputerSoftwareIndependence (probability theory)Pattern Recognition
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Tempo Induction from Music Recordings Using Ensemble Empirical Mode Decomposition Analysis

2011

Tempo and beat are among the most important features of Western music. Owing to the perceptual nature of tempo, its automatic analysis and extraction remains a difficult task for a large variety of music genres. Western music notation represents musical events using a hierarchical metrical structure distinguishing different time scales. This hierarchy is often modeled using three levels: the tatum, the tactus, and the measure. The tatum represents the shortest durational value in music that is not just an accidental phenomenon (Bilmes 1993). The tactus period is the most perceptually prominent period, and is the period at which most humans would tap their feet in time with the music (Lerdah…

Computer scienceSpeech recognitionmedia_common.quotation_subjectMusicalNotationHilbert–Huang transformComputer Science ApplicationsRhythmAudio editing softwarePerceptionMedia TechnologyMusic information retrievalBeat (music)Musicmedia_commonComputer Music Journal
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Non-speech voice for sonic interaction: a catalogue

2016

This paper surveys the uses of non-speech voice as an interaction modality within sonic applications. Three main contexts of use have been identified: sound retrieval, sound synthesis and control, and sound design. An overview of different choices and techniques regarding the style of interaction, the selection of vocal features and their mapping to sound features or controls is here displayed. A comprehensive collection of examples instantiates the use of non-speech voice in actual tools for sonic interaction. It is pointed out that while voice-based techniques are already being used proficiently in sound retrieval and sound synthesis, their use in sound design is still at an exploratory p…

Computer scienceVoice - Sonic interaction - Information retrieval - Sound synthesis - Sound designSpeech recognitionSound design02 engineering and technologyExploratory phase020204 information systemsSonic interaction design0202 electrical engineering electronic engineering information engineeringSelection (linguistics)Information retrieval0501 psychology and cognitive sciences050107 human factorsSound (geography)Sonic interactiongeographyModality (human–computer interaction)geography.geographical_feature_categoryInformation retrieval; Sonic interaction; Sound design; Sound synthesis; Voice; Signal Processing; Human-Computer InteractionSettore INF/01 - Informatica05 social sciencesSound synthesiSound designHuman-Computer InteractionSignal ProcessingVoice
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Editorial: Mining Scientific Papers: NLP-enhanced Bibliometrics

2019

International audience

Computer science[SHS.INFO]Humanities and Social Sciences/Library and information sciencestext miningBibliometrics050905 science studiescomputer.software_genrescientific papersscientometrics[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]Bibliography. Library science. Information resourcescomputational linguistics[SHS.HISPHILSO]Humanities and Social Sciences/History Philosophy and Sociology of Sciencesnatural language processing[SHS.LANGUE]Humanities and Social Sciences/LinguisticsComputingMilieux_MISCELLANEOUScitation content analysisbusiness.industry05 social sciencesScientometrics[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]Artificial intelligence0509 other social sciencesComputational linguistics050904 information & library sciencesbusinesscomputerNatural language processingZ
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A Structural $\mathcal{ SHOIN(D)}$ Ontology Model for Change Modelling

2013

This paper presents a complete structural ontology model suited for change modelling on \(\mathcal{ SHOIN(D)}\) ontologies. The application of this model is illustrated along the paper through the description of an ontology example inspired by the UOBM ontology benchmark and its evolution.

Computer sciencebusiness.industryComputer Science::Information RetrievalData_MISCELLANEOUS02 engineering and technologyOntology (information science)computer.software_genre020204 information systems0202 electrical engineering electronic engineering information engineeringBenchmark (computing)Ontology020201 artificial intelligence & image processingComputingMethodologies_GENERALArtificial intelligencebusinesscomputerNatural language processing
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A novel Bayesian framework for relevance feedback in image content-based retrieval systems

2006

This paper presents a new algorithm for image retrieval in content-based image retrieval systems. The objective of these systems is to get the images which are as similar as possible to a user query from those contained in the global image database without using textual annotations attached to the images. The main problem in obtaining a robust and effective retrieval is the gap between the low level descriptors that can be automatically extracted from the images and the user intention. The algorithm proposed here to address this problem is based on the modeling of user preferences as a probability distribution on the image space. Following a Bayesian methodology, this distribution is the pr…

Computer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONRelevance feedbackPattern recognitioncomputer.software_genreAutomatic image annotationArtificial IntelligenceComputer Science::Computer Vision and Pattern RecognitionSignal ProcessingProbability distributionComputer Vision and Pattern RecognitionVisual WordArtificial intelligenceData miningbusinessPrecision and recallImage retrievalcomputerSoftwarePattern Recognition
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