Search results for "languages"

showing 10 items of 2101 documents

Dynamic Functional Connectivity Captures Individuals’ Unique Brain Signatures

2020

Recent neuroimaging evidence suggest that there exists a unique individual-specific functional connectivity (FC) pattern consistent across tasks. The objective of our study is to utilize FC patterns to identify an individual using a supervised machine learning approach. To this end, we use two previously published data sets that comprises resting-state and task-based fMRI responses. We use static FC measures as input to a linear classifier to evaluate its performance. We additionally extend this analysis to capture dynamic FC using two approaches: the common sliding window approach and the more recent phase synchrony-based measure. We found that the classification models using dynamic FC pa…

050101 languages & linguisticsComputer scienceLinear classifier02 engineering and technologyReduction (complexity)yksilötoiminnallinen magneettikuvausNeuroimagingMargin (machine learning)0202 electrical engineering electronic engineering information engineeringFeature (machine learning)0501 psychology and cognitive sciencesindividual differencestunnistaminenDynamic functional connectivitybusiness.industryFunctional connectivity05 social sciencesfMRIfunctional connectivityPattern recognitionData setkoneoppiminenclassificationvariance inflation factor020201 artificial intelligence & image processingArtificial intelligencebusiness
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Generating Executable Code from High-Level Social or Socio-Ecological Model Descriptions

2019

Agent-Based Modelling has been used for social simulation because of the several benefits it entails. Social models are often constructed by inter-disciplinary teams that include subject-matter experts with no programming skills. These experts are typically involved in the creation of the conceptual model, but not the verification or validation of the simulation model. The Overview, Design concepts, and Details (ODD) protocol has emerged as a way of presenting a model at a high level of abstraction and as an effort towards improving the reproducibility of Agent-Based Models (ABMs) but it is typically written after a model has been completed. This paper reverses the process and provides non-…

050101 languages & linguisticsComputer scienceNetLogobusiness.industryProcess (engineering)05 social sciencesConceptual model (computer science)02 engineering and technologycomputer.file_formatMetamodeling0202 electrical engineering electronic engineering information engineeringVDP::Samfunnsvitenskap: 200020201 artificial intelligence & image processing0501 psychology and cognitive sciencesCode generationExecutableSoftware engineeringbusinessVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550computerProtocol (object-oriented programming)computer.programming_languageSocial simulation
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Exploring Design Cognition in Voice-Driven Sound Sketching and Synthesis

2021

Conceptual design and communication of sonic ideas are critical, and still unresolved aspects of current sound design practices, especially when teamwork is involved. Design cognition studies in the visual domain represent a valuable resource to look at, to better comprehend the reasoning of designers when they approach a sound-based project. A design exercise involving a team of professional sound designers is analyzed, and discussed in the framework of the Function-Behavior-Structure ontology of design. The use of embodied sound representations of concepts fosters team-building and a more effective communication, in terms of shared mental models.

050101 languages & linguisticsComputer scienceSound design Collaboration Design cognitionSound designmedia_common.quotation_subject02 engineering and technologyOntology (information science)Domain (software engineering)Resource (project management)Conceptual designHuman–computer interaction0202 electrical engineering electronic engineering information engineeringSettore ICAR/13 - Disegno Industriale0501 psychology and cognitive sciencesSound (geography)media_commongeographyTeamworkgeography.geographical_feature_categorySettore INF/01 - Informatica05 social sciencesSound designCollaborationDesign cognitionEmbodied cognition020201 artificial intelligence & image processing
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Attention-based Model for Evaluating the Complexity of Sentences in English Language

2020

The automation of text complexity evaluation (ATCE) is an emerging problem which has been tackled by means of different methodologies. We present an effective deep learning- based solution which leverages both Recurrent Neural and the Attention mechanism. The developed system is capable of classifying sentences written in the English language by analysing their syntactical and lexical complexity. An accurate test phase has been carried out, and the system has been compared with a baseline tool based on the Support Vector Machine. This paper represents an extension of a previous deep learning model, which allows showing the suitability of Neural Networks to evaluate sentence complexity in tw…

050101 languages & linguisticsComputer scienceText simplificationcomputer.software_genredeep-learningNLPDeep Learning0501 psychology and cognitive sciencestext simplificationBaseline (configuration management)Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore INF/01 - InformaticaArtificial neural networktext-complexity-evaluationbusiness.industryDeep learning05 social sciences050301 educationExtension (predicate logic)AutomationAutomatic Text SimplificationSupport vector machineArtificial intelligencebusiness0503 educationcomputerNatural language processingSentence
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A Hybrid Architecture for Tiered Storage with Fuzzy Logic and AutoML

2020

The explosion of storage needs pauses a multifaceted challenge for organizations, not only it exerts a large pressure on precious resources, but also creates a sub-optimal data environment where the noise level may overwhelm the actual signal. However, despite the economies of scale achieved by major cloud platforms, the fundamental issue of storage optimization did not go away.

050101 languages & linguisticsComputer sciencebusiness.industryDistributed computing05 social sciencesSIGNAL (programming language)Cloud computing02 engineering and technologyFuzzy logicEconomies of scaleFuzzy logic controller0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processing0501 psychology and cognitive sciencesNoise levelArchitecturebusinessCloud storage
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Reverse-safe data structures for text indexing

2021

We introduce the notion of reverse-safe data structures. These are data structures that prevent the reconstruction of the data they encode (i.e., they cannot be easily reversed). A data structure D is called z-reverse-safe when there exist at least z datasets with the same set of answers as the ones stored by D. The main challenge is to ensure that D stores as many answers to useful queries as possible, is constructed efficiently, and has size close to the size of the original dataset it encodes. Given a text of length n and an integer z, we propose an algorithm which constructs a z-reverse-safe data structure that has size O(n) and answers pattern matching queries of length at most d optim…

050101 languages & linguisticsComputer sciencedata structure02 engineering and technologyprivacySet (abstract data type)combinatoric0202 electrical engineering electronic engineering information engineering0501 psychology and cognitive sciencesPattern matchingSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazionialgorithmSettore INF/01 - Informatica05 social sciencesSearch engine indexingINF/01 - INFORMATICAdata miningData structureMatrix multiplicationcombinatoricsExponent020201 artificial intelligence & image processingdata structure; algorithm; combinatorics; de Bruijn graph; data mining; privacyAlgorithmAdversary modelde Bruijn graphInteger (computer science)
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Sense Equivalence in plWordNet to Princeton WordNet Mapping

2019

Abstract Though the interest in use of wordnets for lexicography is (gradually) growing, no research has been conducted so far on equivalence between lexical units (or senses) in inter-linked wordnets. In this paper, we present and validate a procedure of sense-linking between plWordNet and Princeton WordNet. The proposed procedure employs a continuum of three equivalence types: strong, regular and weak, distinguished by a custom-designed set of formal, semantic and translational features. To validate the procedure, three independent samples of 120 sense pairs were manually analysed with respect to the features. The results show that synsets from the two wordnets linked by interlingual syno…

050101 languages & linguisticsComputer scienceequivalence features05 social sciencesWordNet02 engineering and technologyLanguage and LinguisticsAlgebrasense mapping0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processing0501 psychology and cognitive sciencesinterlingual relationsequivalence typesEquivalence (formal languages)wordnetInternational Journal of Lexicography
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An Efficient Cooperative Smearing Technique for Degraded Historical Documents Images Segmentation

2020

Segmentation is one of the critical steps in historical document image analysis systems that determines the quality of the search, understanding, recognition and interpretation processes. It allows isolating the objects to be considered and separating the regions of interest (paragraphs, lines, words and characters) from other entities (figures, graphs, tables, etc.). This stage follows the thresholding, which aims to improve the quality of the document and to extract its background from its foreground, also for detecting and correcting the skew that leads to redress the document. Here, a hybrid method is proposed in order to locate words and characters in both handwritten and printed docu…

050101 languages & linguisticsComputer sciencemedia_common.quotation_subject02 engineering and technologyImage (mathematics)Interpretation (model theory)[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]0202 electrical engineering electronic engineering information engineering0501 psychology and cognitive sciencesSegmentationQuality (business)ComputingMilieux_MISCELLANEOUSmedia_commonbusiness.industrySmearing technique05 social sciencesPattern recognitionImage segmentationHybrid approachComputer Graphics and Computer-Aided DesignComputer Science Applications020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusinessHistorical document
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Identity-Agency in Progress: Teachers Authoring Their Identities

2018

Teachers’ professional identities have been widely recognized as the key resource through which teachers make sense of their work. Despite this recognition, few studies have offered a longitudinal perspective on the processes involved in teachers’ identity development. In this chapter I will offer an advanced conceptualization of the ways in which teachers author their identity development processes. I use examples from two longitudinal research projects on pre-service and in-service teachers’ identity development to illustrate the teachers’ efforts to maintain and develop their professional identities, and identifies two agentic dynamics in professional identity development: renegotiation …

050101 languages & linguisticsComputingMilieux_THECOMPUTINGPROFESSIONConceptualization05 social sciencesPerspective (graphical)opettajuus050301 educationIdentity (social science)identity-agencytoimijuus06 humanities and the artsopettajatin-service teachersIdentity developmentResource (project management)agencyPedagogyAgency (sociology)ComputingMilieux_COMPUTERSANDEDUCATIONidentiteetti0501 psychology and cognitive sciencesSociology0503 educationidentitypre-service teachers
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An Interactive Framework for Offline Data-Driven Multiobjective Optimization

2020

We propose a framework for solving offline data-driven multiobjective optimization problems in an interactive manner. No new data becomes available when solving offline problems. We fit surrogate models to the data to enable optimization, which introduces uncertainty. The framework incorporates preference information from a decision maker in two aspects to direct the solution process. Firstly, the decision maker can guide the optimization by providing preferences for objectives. Secondly, the framework features a novel technique for the decision maker to also express preferences related to maximum acceptable uncertainty in the solutions as preferred ranges of uncertainty. In this way, the d…

050101 languages & linguisticsDecision support systemMathematical optimizationOptimization problemdecision supportComputer scienceEvolutionary algorithmGaussian processespäätöksentukijärjestelmät02 engineering and technologyMulti-objective optimizationdecision makingData-driven0202 electrical engineering electronic engineering information engineeringmetamodelling0501 psychology and cognitive sciencessurrogateInteractive visualization05 social sciencesgaussiset prosessitmonitavoiteoptimointiMetamodelingKriging020201 artificial intelligence & image processingdecomposition-based MOEAkriging-menetelmäCognitive load
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