Dissertations / Theses on the topic 'Concept recognition'
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Liu, Ningning. "Contributions to generic and affective visual concept recognition." Thesis, Ecully, Ecole centrale de Lyon, 2013. http://www.theses.fr/2013ECDL0038.
Full textThis Ph.D thesis is dedicated to visual concept recognition (VCR). Due to many realistic difficulties, it is still considered to be one of the most challenging problems in computer vision and pattern recognition. In this context, we have proposed some innovative contributions for the task of VCR, particularly in building multimodal approaches that efficiently combine visual and textual information. Firstly, we have proposed semantic features for VCR and have investigated the efficiency of different types of low-level visual features for VCR including color, texture and shape. Specifically, we believe that different concepts require different features to efficiently characterize them for the recognition. Therefore, we have investigated in the context of VCR various visual representations, not only global features including color, shape and texture, but also the state-of-the-art local visual descriptors such as SIFT, Color SIFT, HOG, DAISY, LBP, Color LBP. To help bridging the semantic gap between low-level visual features and high level semantic concepts, and particularly those related to emotions and feelings, we have proposed mid-level visual features based on the visual harmony and dynamism semantics using Itten’s color theory and psychological interpretations. Moreover, we have employed a spatial pyramid strategy to capture the spatial information when building our mid-level features harmony and dynamism. We have also proposed a new representation of color HSV histograms by employing a visual attention model to identify the regions of interest in images. Secondly, we have proposed a novel textual feature designed for VCR. Indeed, most of online-shared photos provide textual descriptions in the form of tags or legends. In fact, these textual descriptions are a rich source of semantic information on visual data that is interesting to consider for the purpose of VCR or multimedia information retrieval. We propose the Histograms of Textual Concepts (HTC) to capture the semantic relatedness of concepts. The general idea behind HTC is to represent a text document as a histogram of textual concepts towards a vocabulary or dictionary, whereas its value is the accumulation of the contribution of each word within the text document toward the underlying concept according to a predefined semantic similarity measure. Several variants of HTC have been proposed that revealed to be very efficient for VCR. Inspired by the Cepstral speech analysis process, we have also developed Cepstral HTC to capture both term frequency-based information (like TF-IDF) and the relatedness of semantic concepts in the sparse image tags, which overcomes the HTC’s shortcoming of ignoring term frequency-based information. Thirdly, we have proposed a fusion scheme to combine different sources of Later Fusion, (SWLF) is designed to select the best features and to weight their scores for each concept to be recognized. SWLF proves particularly efficient for fusing visual and textual modalities in comparison with some other standard fusion schemes. While a late fusion at score level is reputed as a simple and effective way to fuse features of different nature for machine-learning problems, the proposed SWLF builds on two simple insights. First, the score delivered by a feature type should be weighted by its intrinsic quality for the classification problem at hand. Second, in a multi-label scenario where several visual concepts may be assigned to an image, different visual concepts may require different features which best recognize them. In addition to SWLF, we also propose a novel combination approach based on Dempster-Shafer’s evidence theory, whose interesting properties allow fusing different ambiguous sources of information for visual affective recognition. [...]
Huang, Yu. "Hand gesture recognition methods based on concept learning." Thesis, University of Wales Trinity Saint David, 2015. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.667760.
Full textLi, Yi. "Object and concept recognition for content-based image retrieval /." Thesis, Connect to this title online; UW restricted, 2005. http://hdl.handle.net/1773/7006.
Full textOsborne, John D., Matthew B. Neu, Maria I. Danila, Thamar Solorio, and Steven J. Bethard. "CUILESS2016: a clinical corpus applying compositional normalization of text mentions." BIOMED CENTRAL LTD, 2018. http://hdl.handle.net/10150/626563.
Full textSavkov, Aleksandar Dimitrov. "Deciphering clinical text : concept recognition in primary care text notes." Thesis, University of Sussex, 2017. http://sro.sussex.ac.uk/id/eprint/68232/.
Full textLaerhoven, Kristof van. "Embedded perception : concept recognition by learning and combining sensory data." Thesis, Lancaster University, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.443519.
Full textWei, Xiaoyong. "Concept-based video search by semantic and context reasoning /." access full-text access abstract and table of contents, 2009. http://libweb.cityu.edu.hk/cgi-bin/ezdb/thesis.pl?phd-cs-b23750509f.pdf.
Full text"Submitted to Department of Computer Science in partial fulfillment of the requirements for the degree of Doctor of Philosophy." Includes bibliographical references (leaves 122-133)
Binder, Alexander Verfasser], and Klaus-Robert [Akademischer Betreuer] [Müller. "Bag of Machine Learning Concepts for Visual Concept Recognition in Images / Alexander Binder. Betreuer: Klaus-Robert Müller." Berlin : Universitätsbibliothek der Technischen Universität Berlin, 2013. http://d-nb.info/1033640409/34.
Full textWright, Christopher Paul. "Software architectures for visual concept refinement in digital mapping." Thesis, University of Hull, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.318373.
Full textLam, Yuk-chau Emily. "The development of the 'word unit' concept by Cantonese-speaking children." Click to view the E-thesis via HKUTO, 1997. http://sunzi.lib.hku.hk/hkuto/record/B36209478.
Full text"A dissertation submitted in partial fulfilment of the requirements for the Bachelor of Science (Speech and Hearing Sciences), The University of Hong Kong, April 30, 1997." Also available in print.
Jiang, Yugang. "Large scale semantic concept detection, fusion, and selection for domain adaptive video search /." access full-text access abstract and table of contents, 2009. http://libweb.cityu.edu.hk/cgi-bin/ezdb/thesis.pl?phd-cs-b23749957f.pdf.
Full text"Submitted to Department of Computer Science in partial fulfillment of the requirements for the degree of Doctor of Philosophy." Includes bibliographical references (leaves 145-161)
Mehdi, Riyadh Abdul Kadir. "An investigation of object recognition using spatial data and the concept of prior expectation." Thesis, University of Liverpool, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.291671.
Full textKANAYAMA, Yasuhisa (Yahei). "Recognition, Concept Formation and Knowledge: Preliminary Consideration for the Theory of Recollection in Plato's Phaedo." School of Letters, Nagoya University, 2013. http://hdl.handle.net/2237/17708.
Full textDobler, Michael. "Rethinking revenue recognition." Inderscience Publishers, 2008. https://tud.qucosa.de/id/qucosa%3A36452.
Full textBerchtold-Buschle, Martin [Verfasser], and Lars [Akademischer Betreuer] Wolf. "A Modular Classifier Concept for Activity Recognition on Mobile Phones / Martin Berchtold-Buschle ; Betreuer: Lars Wolf." Braunschweig : Technische Universität Braunschweig, 2011. http://d-nb.info/1175823899/34.
Full textTudin, Rabaah. "The recognition, adoption and implementation of the marketing concept by Bumiputra (Ethnic Malay) Companies in Malaysis." Thesis, University of Salford, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.491801.
Full textKazantzoglou, Avraam. "Flexible Architecture System & Topology License Plate Recognition (FAST LPR) and Concept of Operations in Thailand." Thesis, Monterey, Calif. : Naval Postgraduate School, 2008. http://edocs.nps.edu/npspubs/scholarly/theses/2008/Sept/08Sep%5FKazantzoglou.pdf.
Full textThesis Advisor(s): Sankar, Pat ; McNab, Robert. "September 2008." Description based on title screen as viewed on November 6, 2008. Includes bibliographical references (p. 151-154). Also available in print.
Radovanovic, Aleksandar. "Concept Based Knowledge Discovery from Biomedical Literature." Thesis, Online access, 2009. http://etd.uwc.ac.za/usrfiles/modules/etd/docs/etd_gen8Srv25Nme4_9861_1272229462.pdf.
Full textBunuan, Paul F. "FIDOE: A Proof-of-concept Martian Robotic Support Cart." Digital WPI, 1999. https://digitalcommons.wpi.edu/etd-theses/906.
Full textDerbas, Nadia. "Contributions à la détection de concepts et d'événements dans les documents vidéos." Thesis, Grenoble, 2014. http://www.theses.fr/2014GRENM035/document.
Full textA consequence of the rise of digital technology is that the quantity of available collections of multimedia documents is permanently and strongly increasing. The indexing of these documents became both very costly and impossible to do manually. In order to be able to analyze, classify and search multimedia documents, indexing systems have been defined. However, most of these systems suffer quality or practicability issues. Their performance is limited and depends on the data volume and data variability. Indexing systems analyze multimedia documents, looking for static concepts (bicycle, chair,...), or events (wedding, protest,...). Therefore, the variability in shapes, positions, lighting or orientation of objects hinders the process. Another aspect is that systems must be scalable. They should be able to handle big data while using reasonable amount of computing time and memory.The aim of this thesis is to improve the general performance of content-based multimedia indexing systems. Four main contributions are brought in this thesis for improving different stages of the indexing process. The first one is an "early-early fusion method" that merges different information sources in order to extract their deep correlations. This method is used for violent scenes detection in movies. The second contribution is a weakly supervised method for basic concept (objects) localization in images. This can be used afterwards as a new descriptor to help detecting complex concepts (events). The third contribution tackles the noise reduction problem on ambiguously annotated data. Two methods are proposed: a shot annotation generator, and a shot weighing method. The last contribution is a generic descriptor optimization method, based on PCA and non-linear transforms.These four contributions are tested and evaluated using reference data collections, including TRECVid and MediaEval. These contributions helped our submissions achieving very good rankings in those evaluation campaigns
Mendes, Pablo N. "Adaptive Semantic Annotation of Entity and Concept Mentions in Text." Wright State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=wright1401665504.
Full textEyorokon, Vahid. "Measuring Goal Similarity Using Concept, Context and Task Features." Wright State University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=wright1534084289041091.
Full textDavis, Therese Verdun. "Becoming unrecognisable : a study of the face, death and recognition in late twentieth century media culture /." View thesis View thesis, 2000. http://library.uws.edu.au/adt-NUWS/public/adt-NUWS20030429.171809/index.html.
Full text"A thesis presented to the University of Western Sydney, Hawkesbury, in partial fulfilment of the requirements for the degree of Doctor of Philosophy". Bibliography : leaves 188-199.
Geyer, Joseph Michael. "Identification of Candidate Concepts in a Learning-Based Approach to Reverse Engineering." Miami University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=miami1272036566.
Full textDarwish, Hassan. "Critical study on the concept of international arbitration in the UAE : identifying problems affecting the recognition and enforcement of foreign arbitral award." Thesis, University of Essex, 2017. http://repository.essex.ac.uk/18812/.
Full textVázquez, Martínez Silvina. "Identidad y Reconocimiento. Un estudio sobre los espacios públicos internos de la política." Doctoral thesis, Universitat de Barcelona, 2017. http://hdl.handle.net/10803/461410.
Full textThe doctoral investigation presented here explores the issue of personal and community identity through the category of recognition. Our main objective consists of rethinking these concepts in a way that guards the plurality of significance that each one shelters, at the same time seeking to evaluate as much the political depth of the self as its relational structure. Both concepts - identity and recognition - contain some kind of link with otherness, with the notion of other that transforms the individual’s perception of self. But these concepts also shelter a base of perplexity and strangeness relative to the internal world of the citizen. Our main hypothesis is that this interiority of self is, partly, a public and political phenomenon. This hypothesis requires implementing a theoretical matrix open to transcending the logical-verbal structures of thought with which the issue of identity recognition is usually addressed, starting with the lexicon of “objective” and “subjective”, the extreme division of “what is public” and “what is private”, between the “inside” and “outside”.
Colontonio, Carlos Ogawa. "A questão da racionalidade jurídica em Hart e em Dworkin." Universidade de São Paulo, 2011. http://www.teses.usp.br/teses/disponiveis/8/8133/tde-05012012-154120/.
Full textThe objective of this research is to present the rational legal model presented by Hart and rational legal model presented by Dworkin as well as criticism made by Dworkin in the face of the Concept of Law offered by Hart. The positivist, Herbert Hart, proposes that the right is formed by a system of primary rules and secondary rules, and a rule of recognition is responsible for identifying what rules are or are not included in this system. If presented with a problem that is not resolved by a rule recognized by the criterion, the judge should resort to discretion. Dworkin, at first, criticize the concept of Hart, claiming that his criterion of demarcation between what is right and what is not right is unsatisfactory, for failing to recognize various elements such as legal, as a rule of recognition , being a test of pedigree, not able to capture the principles of law and not legislated rights and duties controversial. Furthermore, there is an error in the positivist theory of Hart, asserting that the cases do not clearly resolved by a rule will be resolved from the arbitrariness of state authority. Later, Dworkin offer a model law that embraces the legal reality in his mind. A model in which the lawyer from the reflective equilibrium and the axiom of justice may deduct possible theories to address problems of law, identifying, among these theories, what is the best answer, the answer is therefore required for the solution of the dispute concrete.
Boumaiza, Ameni. "Reconnaissance et localisation de symboles dans les documents graphiques : approches basées sur le treillis de concepts." Thesis, Université de Lorraine, 2013. http://www.theses.fr/2013LORR0028/document.
Full textComputer vision is a field that includes methods for the acquisition, processing, analysis and understanding of images to produce numerical or symbolic information. A research contributing to the development of this area is to replicate the capabilities of human vision to perceive and understand images. Our thesis is part of this research axis. We propose several original contributions belonging to the context of graphics recognition and spotting context. The originality of the proposed approaches is the proposal of an interesting alliance between the Formal Concept Analysis and the Computer Vision fields. We face the study of the FCA field and more precisely the adaptation of the structure of concept lattice and its use as the main tool of our work. The main feature of our work lies in its generic aspect because the proposed methods can be combined with various other tools keeping the same strategies and following a similar procedure. Our foray into the area of the Formal Concept Analysis and more precisely our choice of the structure of the Galois lattice, also called concept lattice is motivated by the many advantages offered by this tool. The main advantage of concept lattice is the symbolic aspect. It is a concise, accurate and flexible search space thus facilitating decision making. Our contributions are recorded as part of the recognition and localization of symbols in graphic documents. We propose to recognize and spot symbols in graphical documents (technical drawings for example) using the alliance between the bag of words representation and the Galois lattice formalism. We opt for various methods belonging to the computer vision field
Caubriere, Antoine. "Du signal au concept : réseaux de neurones profonds appliqués à la compréhension de la parole." Thesis, Le Mans, 2021. https://tel.archives-ouvertes.fr/tel-03177996.
Full textThis thesis is part of the deep learning applied to spoken language understanding. Until now, this task was performed through a pipeline of components implementing, for example, a speech recognition system, then different natural language processing, before involving a language understanding system on enriched automatic transcriptions. Recently, work in the field of speech recognition has shown that it is possible to produce a sequence of words directly from the acoustic signal. Within the framework of this thesis, the aim is to exploit these advances and extend them to design a system composed of a single neural model fully optimized for the spoken language understanding task, from signal to concept. First, we present a state of the art describing the principles of deep learning, speech recognition, and speech understanding. Then, we describe the contributions made along three main axes. We propose a first system answering the problematic posed and apply it to a task of named entities recognition. Then, we propose a transfer learning strategy guided by a curriculum learning approach. This strategy is based on the generic knowledge learned to improve the performance of a neural system on a semantic concept extraction task. Then, we perform an analysis of the errors produced by our approach, while studying the functioning of the proposed neural architecture. Finally, we set up a confidence measure to evaluate the reliability of a hypothesis produced by our system
Roche, Alexis. "Reconnaissance et performance : proposition du concept de reconnaissance activatrice et d'un modèle intégrateur." Thesis, Lyon 3, 2013. http://www.theses.fr/2013LYO30011/document.
Full textRecognition affects every one in a lot of situation. Because it’s semantic complexity, the concept is not easy to clearly define and use it. Miscellaneous branches as : Philosophy, psychology, Sociology, Biology or Anthropology, are wondering by this concept of recognition. This concept is still used more and more by the Management Sciences. This period is marked by development of multiculturalism, the appearance of economic crisis, an increase of impersonal management of the human being and a loss of work sense. So, researchers and practitioners are thinking about the way over to set forth right recognition rules and about the costs created by the defects of recognition at work. Indeed, it becomes a necessity to place Man into the heart of the work and secure a mutual respect between the various actors, hierarchical or not.This research object is emerging in the field of Management Sciences. However, it is the basis of currents events, especially concerning the diversity management and the social responsibility. So, the subject is really at the focal point of moral stakes. Facing the impacts sourced by the depersonalization into the working organizations, more and more people from the bottom to the top of theirs hierarchy are questioning on the social and economic stakes coming from missing recognition and recognition management. This thesis aims at to place in an obvious position the strong links existing between recognition and performance, especially when the organizations want sustainable socioeconomic performances.The first part of the thesis clarify the abstract and methodological bases of these investigations and set out our experimentations fields. The recognition concept is approached under a polysemic and interdisciplinary angle. The justification of the methodology, the exploitation of more than 400 interviews from 12 organizations with the whole employee’s grades and the study of two longitudinal cases testify the robustness of the research work.The second part explain the socially constructed origin of recognition according to the history of each person. It analyzes its perceptive and symbolical aspects. We propose a list of the system of recognition and make an inventory of several transverse factors acting upon the recognition perceptions and their impacts on the feelings of satisfaction and dissatisfaction. At last, we study the influence of three variables : the organization size, the hierarchical level and the business branch, upon the recognition expectations.The third part analyzes two longitudinal cases and establishes links between recognition and performance. We estimate the costs connected to the bad practices in recognition and to the lack of recognition. We categorize two dialectical recognition systems into the organizations and bring results according to these practices. At last, we suggest some possibilities for a recognition enhancement aiming to develop sustainable socioeconomic performances by the elaboration of concept : « activating recognition »
Mallavarapu, Suma. "Object permanence in orangutans, gorillas, and black-and-white ruffed lemurs." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/29651.
Full textCommittee Chair: Maple, Terry; Committee Member: Blanchard-Fields, Fredda; Committee Member: Hampton, Robert; Committee Member: Marr, Marcus; Committee Member: Stoinski, Tara. Part of the SMARTech Electronic Thesis and Dissertation Collection.
Lago, Pablo Antonio. "O casamento enquanto conceito interpretativo e seu reconhecimento como direito moral dos homossexuais: diálogo crítico entre as concepções de John Finnis e Ronald Dworkin." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/2/2139/tde-08112017-094636/.
Full textThis dissertation aims to answer affirmatively the following question: is there a moral right to gay marriage? To do that, it analyzes the theme from the perspective of the Philosophy and Political Morals, which demonstrates the need to conceptualize marriage before checking whether it constitutes a moral right or not. It starts with the conceptions of marriage made by John Finnis and Ronald Dworkin, analyzing them critically, and after proposing the treatment of marriage as an interpretive concept. Only then it is possible to verify if marriage represents a moral right of homosexuals, which is made primarily from the critiques developed by Herbert Hart and Dworkin to the position of Patrick Devlin, and the dworkinian conception of equality and human dignity. It concludes that the state\'s duty to treat individuals with equal respect and consideration implies the recognition of marriage as a moral right of homosexuals, and that the analysis of the issue from the standpoint of public morality involves the discussion of its limits in the wider debate about the rights of minorities in general as well.
Robbie, Byron. "Beyond inclusion : transforming the educational governance relationship between First Nations and school districts in British Columbia /." Burnaby B.C. : Simon Fraser University, 2005. http://ir.lib.sfu.ca/handle/1892/2086.
Full textAguiar, Joana Guilares de. "Desenvolvimento e validação de um questionário para avaliar o nível de proficiência de alunos em mapeamento conceitual." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/81/81132/tde-13082012-112959/.
Full textConcept Map (Cmap) is a technique to organize and represent knowledge through a propositional net. Although the fact that concept maps are used in formal education context few papers has mentioned the importance and necessity of a straight-forward training session on the technique, which allow to enjoy its benefits. This study develops an instrument to assess the level of knowledge of mappers after the straight-forward training session. The propositional clarity table, the half structured Cmap and the expanded collaborative learning were the three strategies responsible to guarantee the understanding of four central concepts in conceptual mapping: proposition, focal question, recursivity revision and hierarchy. Five statements\' questionnaire (five-level Likert\'s scale) was developed, validated (Cronbach\'s alpha 0.902) and tested to assess the students\' understanding about Cmaps. Those questionnaires (n = 232) was collected on the last class of Natural Science course offered to first year\'s students of the Escola de Artes, Ciências e Humanidades (School of Arts, Science and Humanities - University of São Paulo) in 2009 and 2010. Four classes was systematic trained (experimental group) and one class does not received the same training (control group). The data analysis involved the statistical treatment to comparison between the means by Student\'s t-test and non-supervised exploratory multivariate analysis for pattern recognition by Hierarchical Cluster Analysis (HCA) and Principal Component Analysis (PCA). The results of t-test confirmed the questionnaire capability to distinguish the students of experimental from control group. HCA clustered the students according to their knowlodge level in concept mapping. PCA not only agree with the HCA results but also demonstrated that the understanding of propositional clarity semantic and the importance of focal question are critical to students that desire to be proficiencies in Cmaps.
Doms, Andreas. "GoPubMed: Ontology-based literature search for the life sciences." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2009. http://nbn-resolving.de/urn:nbn:de:bsz:14-ds-1232454035091-47450.
Full textDoms, Andreas. "GoPubMed: Ontology-based literature search for the life sciences." Doctoral thesis, Technische Universität Dresden, 2008. https://tud.qucosa.de/id/qucosa%3A23835.
Full textCampos, David Emmanuel Marques. "Mining biomedical information from scientific literature." Doctoral thesis, Universidade de Aveiro, 2013. http://hdl.handle.net/10773/12853.
Full textThe rapid evolution and proliferation of a world-wide computerized network, the Internet, resulted in an overwhelming and constantly growing amount of publicly available data and information, a fact that was also verified in biomedicine. However, the lack of structure of textual data inhibits its direct processing by computational solutions. Information extraction is the task of text mining that intends to automatically collect information from unstructured text data sources. The goal of the work described in this thesis was to build innovative solutions for biomedical information extraction from scientific literature, through the development of simple software artifacts for developers and biocurators, delivering more accurate, usable and faster results. We started by tackling named entity recognition - a crucial initial task - with the development of Gimli, a machine-learning-based solution that follows an incremental approach to optimize extracted linguistic characteristics for each concept type. Afterwards, Totum was built to harmonize concept names provided by heterogeneous systems, delivering a robust solution with improved performance results. Such approach takes advantage of heterogenous corpora to deliver cross-corpus harmonization that is not constrained to specific characteristics. Since previous solutions do not provide links to knowledge bases, Neji was built to streamline the development of complex and custom solutions for biomedical concept name recognition and normalization. This was achieved through a modular and flexible framework focused on speed and performance, integrating a large amount of processing modules optimized for the biomedical domain. To offer on-demand heterogenous biomedical concept identification, we developed BeCAS, a web application, service and widget. We also tackled relation mining by developing TrigNER, a machine-learning-based solution for biomedical event trigger recognition, which applies an automatic algorithm to obtain the best linguistic features and model parameters for each event type. Finally, in order to assist biocurators, Egas was developed to support rapid, interactive and real-time collaborative curation of biomedical documents, through manual and automatic in-line annotation of concepts and relations. Overall, the research work presented in this thesis contributed to a more accurate update of current biomedical knowledge bases, towards improved hypothesis generation and knowledge discovery.
A rápida evolução e proliferação de uma rede mundial de computadores, a Internet, resultou num esmagador e constante crescimento na quantidade de dados e informação publicamente disponíveis, o que também se verificou na biomedicina. No entanto, a inexistência de estrutura em dados textuais inibe o seu processamento direto por parte de soluções informatizadas. Extração de informação é a tarefa de mineração de texto que pretende extrair automaticamente informação de fontes de dados de texto não estruturados. O objetivo do trabalho descrito nesta tese foi essencialmente focado em construir soluções inovadoras para extração de informação biomédica a partir da literatura científica, através do desenvolvimento de aplicações simples de usar por programadores e bio-curadores, capazes de fornecer resultados mais precisos, usáveis e de forma mais rápida. Começámos por abordar o reconhecimento de nomes de conceitos - uma tarefa inicial e fundamental - com o desenvolvimento de Gimli, uma solução baseada em inteligência artificial que aplica uma estratégia incremental para otimizar as características linguísticas extraídas do texto para cada tipo de conceito. Posteriormente, Totum foi implementado para harmonizar nomes de conceitos provenientes de sistemas heterogéneos, oferecendo uma solução mais robusta e com melhores resultados. Esta aproximação recorre a informação contida em corpora heterogéneos para disponibilizar uma solução não restrita às característica de um único corpus. Uma vez que as soluções anteriores não oferecem ligação dos nomes a bases de conhecimento, Neji foi construído para facilitar o desenvolvimento de soluções complexas e personalizadas para o reconhecimento de conceitos nomeados e respectiva normalização. Isto foi conseguido através de uma plataforma modular e flexível focada em rapidez e desempenho, integrando um vasto conjunto de módulos de processamento optimizados para o domínio biomédico. De forma a disponibilizar identificação de conceitos biomédicos em tempo real, BeCAS foi desenvolvido para oferecer um serviço, aplicação e widget Web. A extracção de relações entre conceitos também foi abordada através do desenvolvimento de TrigNER, uma solução baseada em inteligência artificial para o reconhecimento de palavras que desencadeiam a ocorrência de eventos biomédicos. Esta ferramenta aplica um algoritmo automático para encontrar as melhores características linguísticas e parâmetros para cada tipo de evento. Finalmente, de forma a auxiliar o trabalho de bio-curadores, Egas foi desenvolvido para suportar a anotação rápida, interactiva e colaborativa em tempo real de documentos biomédicos, através da anotação manual e automática de conceitos e relações de forma contextualizada. Resumindo, este trabalho contribuiu para a actualização mais precisa das actuais bases de conhecimento, auxiliando a formulação de hipóteses e a descoberta de novo conhecimento.
Simonnet, Edwin. "Réseaux de neurones profonds appliqués à la compréhension de la parole." Thesis, Le Mans, 2019. http://www.theses.fr/2019LEMA1006/document.
Full textThis thesis is a part of the emergence of deep learning and focuses on spoken language understanding assimilated to the automatic extraction and representation of the meaning supported by the words in a spoken utterance. We study a semantic concept tagging task used in a spoken dialogue system and evaluated with the French corpus MEDIA. For the past decade, neural models have emerged in many natural language processing tasks through algorithmic advances or powerful computing tools such as graphics processors. Many obstacles make the understanding task complex, such as the difficult interpretation of automatic speech transcriptions, as many errors are introduced by the automatic recognition process upstream of the comprehension module. We present a state of the art describing spoken language understanding and then supervised automatic learning methods to solve it, starting with classical systems and finishing with deep learning techniques. The contributions are then presented along three axes. First, we develop an efficient neural architecture consisting of a bidirectional recurrent network encoder-decoder with attention mechanism. Then we study the management of automatic recognition errors and solutions to limit their impact on our performances. Finally, we envisage a disambiguation of the comprehension task making the systems more efficient
Lourenço, Jóni Amauri de Almeida. "A web-based collaborative curation system for biomedical literature." Master's thesis, Universidade de Aveiro, 2014. http://hdl.handle.net/10773/14070.
Full textWith the overwhelming amount of biomedical textual information being produced, several manual curation efforts have been set up to extract and store concepts and their relationships into structured resources. Since manual annotation is a very demanding and expensive task, computerized solutions were developed to perform such tasks automatically. Nevertheless, high-end information extraction techniques are still not widely used by biomedical research communities, mainly due to the lack of standards and limitations in usability. Interactive annotation tools intend to fill this gap, taking advantage of automatic techniques and existing knowledge bases to assist expert curators in their daily tasks. This thesis presents Egas, a web-based platform for biomedical text mining and assisted curation with highly usable interfaces for manual and automatic inline annotation of concepts and relations. Furthermore, a comprehensive set of knowledge bases are integrated and indexed to provide straightforward concept normalization features. Additionally, curators can also rely on real-time collaboration and conversation functionalities allowing discussing details of the annotation task as well as providing instant feedback of curators interactions. Egas also provides interfaces for on-demand management of the annotation task settings and guidelines, and supports standard formats and literature services to import and export documents. By taking advantage of Egas, we participated in the BioCreative IV interactive annotation task, targeting the assisted identification of protein-protein interactions described in PubMed abstracts related to neuropathological disorders. Thereby, when evaluated by expert curators, Egas obtained very positive scores in terms of usability, reliability and performance. These results, together with the provided innovative features, place Egas as a state-of-the-art solution for fast and accurate curation of information, facilitating the task of creating and updating knowledge bases in a more consistent way.
Com o acréscimo da quantidade de literatura biomédica a ser produzida todos os dias, vários esforços têm sido feitos para tentar extrair e armazenar de forma estruturada os conceitos e as relações nela presentes. Por outro lado, uma vez que a extração manual de conceitos compreende uma tarefa extremamente exigente e exaustiva, algumas soluções de anotação automática foram surgindo. No entanto, mesmo os sistemas de anotação mais completos não têm sido muito bem recebidos no seio das equipas de investigação, em grande parte devido às falhas a nível de usabilidade e de interface standards. Para colmatar esta falha são necessárias ferramentas de anotação interativa, que tirem proveito de sistemas de anotação automática e de bases de dados já existentes, para ajudar os anotadores nas suas tarefas do dia-a-dia. Nesta dissertação iremos apresentar uma plataforma de anotação de literatura biomédica orientada para a usabilidade e que suporta anotação manual e automática. No mesmo sentido, integramos no sistema várias bases de dados, no intuito de facilitar a normalização dos conceitos anotados. Por outro lado, os utilizadores podem também contar com funcionalidades colaborativas em toda a aplicação, estimulando assim a interação entre os anotadores e, desta forma, a produção de melhores resultados. O sistema apresenta ainda funcionalidades para importar e exportar ficheiros, gestão de projetos e diretivas de anotação. Com esta plataforma, Egas, participámos na tarefa de anotação interativa do BioCreative IV (IAT), nomeadamente na identificação de interações proteína-proteína. Depois de avaliado por um conjunto de anotadores, o Egas obteve os melhores resultados entre os sistemas apresentados, relativamente à usabilidade, confiança e desempenho.
Palacio, Avendaño Martha. "Implicaciones éticas y políticas de la "creación de sí" a partir de la filosofía de Richard Rorty." Doctoral thesis, Universitat de Barcelona, 2014. http://hdl.handle.net/10803/284642.
Full textSantos, André Jerónimo Martins dos. "Automatic and interactive annotation of PDF documents." Master's thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/17886.
Full textO aumento acelerado da literatura biomédica levou ao desenvolvimento de vários esforços para extrair e armazenar, de forma estruturada, a informação relativa aos conceitos e relações presentes nesses textos, oferecendo aos investigadores e clínicos um acesso rápido e fácil à informação. No entanto, este processo de "curadoria de conhecimento" é uma tarefa extremamente exaustiva, sendo cada vez mais comum o uso de ferramentas de anotação automática, fazendo uso de técnicas de mineração de texto. Apesar de já existirem sistemas de anotação bastante completos e que apresentam um alto desempenho, estes não são largamente usados pela comunidade biomédica, principalmente por serem complexos e apresentarem limitações ao nível de usabilidade. Por outro lado, o PDF tornou-se nos últimos anos num dos formatos mais populares para publicar e partilhar documentos visto poder ser apresentado exatamente da mesma maneira independentemente do sistema ou plataforma em que é acedido. A maioria das ferramentas de anotação foram principalmente desenhadas para extrair informação de texto livre, contudo hoje em dia uma grande parte da literatura biomédica é publicada e distribuída em PDF, e portanto a extração de informação de documentos PDF deve ser um ponto de foco para a comunidade de mineração de texto biomédico. O objetivo do trabalho descrito nesta dissertação foi a extensão da framework Neji, permitindo o processamento de documentos em formato PDF, e a integração dessas funcionalidades na plataforma Egas, permitindo que um utilizador possa visualizar e anotar, simultaneamente, o artigo original no formato PDF e o texto extraído deste. Os sistemas desenvolvidos apresentam bons resultados de desempenho, tanto em termos de velocidade de processamento como de representação da informação, o que também contribui para uma melhor experiência de utilizador. Além disso, apresentam várias vantagens para a comunidade de mineração de texto e curadores, permitindo a anotação direta de artigos no formato PDF e simplificando o uso e configuração destes sistemas de anotação por parte de investigadores.
The accelerated increase of the biomedical literature has led to various efforts to extract and store, in a structured way, the information related with the concepts and relations presented in those texts, providing to investigators and researchers a fast and easy access to knowledge. However, this process of “knowledge curation” is an extremely exhaustive task, being more and more common demanding the application of automatic annotation tools, that make use of text mining techniques. Even thought complete annotation systems already exist and produce high performance results, they are not widely used by the biomedical community, mainly because of their complexity and also due to some limitations in usability. On the other hand, the PDF has become in the last years one of the most popular formats for publishing and sharing documents because of it can be displayed exactly in the same way independently of the system or platform where it is accessed. The majority of annotation tools were mainly designed to extract information from raw text, although a big part of the biomedical literature is published and distributed in PDF, and thus the information extraction from PDF documents should be a focus point for the biomedical text mining community. The objective of the work described in this document is the extension of Neji framework, allowing the processing of documents in PDF format, and the integration of these features in Egas platform, allowing a user to simultaneously visualize the original article in PDF format and its extracted text. The improved and developed systems present good performing results, both in terms of processing speed and representation of the information, contributing also for a better user experience. Besides that, they present several advantages for the biomedical community, allowing the direct annotation of PDF articles and simplifying the use and configuration of these annotation systems by researchers.
Sequeira, José Francisco Rodrigues. "Automatic knowledge base construction from unstructured text." Master's thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/17910.
Full textTaking into account the overwhelming number of biomedical publications being produced, the effort required for a user to efficiently explore those publications in order to establish relationships between a wide range of concepts is staggering. This dissertation presents GRACE, a web-based platform that provides an advanced graphical exploration interface that allows users to traverse the biomedical domain in order to find explicit and latent associations between annotated biomedical concepts belonging to a variety of semantic types (e.g., Genes, Proteins, Disorders, Procedures and Anatomy). The knowledge base utilized is a collection of MEDLINE articles with English abstracts. These annotations are then stored in an efficient data storage that allows for complex queries and high-performance data delivery. Concept relationship are inferred through statistical analysis, applying association measures to annotated terms. These processes grant the graphical interface the ability to create, in real-time, a data visualization in the form of a graph for the exploration of these biomedical concept relationships.
Tendo em conta o crescimento do número de publicações biomédicas a serem produzidas todos os anos, o esforço exigido para que um utilizador consiga, de uma forma eficiente, explorar estas publicações para conseguir estabelecer associações entre um conjunto alargado de conceitos torna esta tarefa exaustiva. Nesta disertação apresentamos uma plataforma web chamada GRACE, que providencia uma interface gráfica de exploração que permite aos utilizadores navegar pelo domínio biomédico em busca de associações explícitas ou latentes entre conceitos biomédicos pertencentes a uma variedade de domínios semânticos (i.e., Genes, Proteínas, Doenças, Procedimentos e Anatomia). A base de conhecimento usada é uma coleção de artigos MEDLINE com resumos escritos na língua inglesa. Estas anotações são armazenadas numa base de dados que permite pesquisas complexas e obtenção de dados com alta performance. As relações entre conceitos são inferidas a partir de análise estatística, aplicando medidas de associações entre os conceitos anotados. Estes processos permitem à interface gráfica criar, em tempo real, uma visualização de dados, na forma de um grafo, para a exploração destas relações entre conceitos do domínio biomédico.
Parks, Michael E. "An analysis of attitude recognition, formation, and change concepts in selected art education textbooks." Virtual Press, 1985. http://liblink.bsu.edu/uhtbin/catkey/426371.
Full textCornell, Benjamin Laurence. "More Than the Looking Glass| The Associations Between School-Based Recognitions and Student Self-Concept." Thesis, University of California, Riverside, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10620041.
Full textSelf-concept is related to student academic achievement and locus of control (Coleman et al., 1966), intrapersonal and interpersonal processes (Markus & Wurf, 1987), and many long-term outcomes, such as satisfaction with one’s job, marriage, and life in general (Mortimer et al., 1982). Although self-concept is fairly malleable in early adolescence, it becomes more stable and rigid in high school (Bachman, O’Malley, & Johnston, 1978; Protinsky & Farrier, 1980). While interventions targeting self-concept have generally been found to be successful (Hattie, 2014), the associations between specific school- based recognitions for achievement and student self-concept have yet to be investigated. Using data from the National Educational Longitudinal Study of 1988 (NCES, 1996), the following analysis investigated the associations between different school-based recognitions for achievement and students’ self-concept. In this study, a set of school- based recognition variables was identified and hierarchical linear modeling (HLM) analyses was used to build an ANCOVA with random effects model predicting student self-concept in the 10th grade while controlling for gender, race, socioeconomic status (SES), and prior self-concept (8th grade) scores. Results indicate support for the use of HLM statistical methods and the inclusion of the aforementioned covariates. However, none of the predictor variables from the identified set of school-based recognition variables were significantly related to self-concept when entered into the model. Implications for school psychology research and practice are presented within a multitiered systems of supports (MTSS) framework, including suggestions for the implementation of positive behavioral interventions and supports (PBIS).
Adams, Thomas. "Real Estate Market Analysis Understanding Fundamental Value and Departures From It - Theoretical Concepts, Analytical Tools, and their Application in 'Bubble' Recognition /." St. Gallen, 2006. http://www.biblio.unisg.ch/org/biblio/edoc.nsf/wwwDisplayIdentifier/02607513001/$FILE/02607513001.pdf.
Full textFisher, Anna Valeryevna. "Inductive generalization underlying mechanisms and developmental course /." Connect to resource, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1117039741.
Full textTitle from first page of PDF file. Document formatted into pages; contains xii, 110 p.; also includes graphics. Includes bibliographical references (p. 103-110). Available online via OhioLINK's ETD Center
Lethelier, Edouard. "Combinaison des concepts de segmentation et de reconnaissance pour l'écriture manuscrite hors-ligne : application au traitement des montants numériques des chèques." Rouen, 1996. http://www.theses.fr/1996ROUES045.
Full textAmeller, Aurély. "Les troubles de la familiarité dans la schizophrénie." Phd thesis, Université du Droit et de la Santé - Lille II, 2014. http://tel.archives-ouvertes.fr/tel-01061407.
Full textMcLucas, Alan Charles Civil Engineering Australian Defence Force Academy UNSW. "An investigation into the integration of qualitative and quantitative techniques for addressing systemic complexity in the context of organisational strategic decision-making." Awarded by:University of New South Wales - Australian Defence Force Academy. School of Civil Engineering, 2001. http://handle.unsw.edu.au/1959.4/38744.
Full textDaurat, Véronique. "L'accompagnement et ses institutions : quel souci de l'autre dans le prendre soin ?" Thesis, Bordeaux 3, 2016. http://www.theses.fr/2016BOR30067.
Full textThis research work focuses on the people who take care of others every single day, in a hospital. It’s about thinking of and dedicating time to the nursing and hospital staff who are constantly surrounded by diseases and people who suffer from them, who worries about them on an daily basis. What is their relationship to their selves and what kind of support do they get? I will question the way they may express their own pains, but also the role of the executive staff, the management and thus, of the institution in the presupposed encounter between the various people at stake. How relevant is it, from an intellectual and cultural point of view, to extend the philosophical thought of caring to the topic of the ethics of human staff in a hospital. To what extent does the use of the philosophical process of “care” offer a meaningful and coherent perspective to the sector of support in hospital today? It’s a way to make two minds meet and interact as Montaigne phrased it, and also to consider the transposition of the “care” process as described by Joan Tronto in her successive phases.Through this process, I will question how the four phases – Caring about, Taking care of, Care giving, Care receiving – are connected to the moral and ethical notions that go along with them – Attention, Responsibility, Competence, Response – and how they are likely to find their place in the professional supporting relation