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Assessing the use of back translation: the shortcomings of back translation as a quality testing method
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In: International Journal of Social Research Methodology ; 20 ; 6 ; 573-584 (2021)
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| 22 |
Integrating Manual and Automatic Annotation for the Creation of Discourse Network Data Sets
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In: Politics and Governance ; 8 ; 2 ; 326-339 ; Policy Debates and Discourse Network Analysis (2021)
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| 23 |
Measurement Invariance Across Immigrant and Non-Immigrant Populations on PISA Cognitive and Non-Cognitive Scales
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In: Doctoral Dissertations (2021)
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Comparing textual genres in Spanish: the case of the tourism domain
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In: Ibérica, Iss 42, Pp 163-190 (2021) (2021)
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Approches quantitatives de l'analyse des prédictions en traduction automatique neuronale (TAN)
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In: JADT 2020 : 15èmes Journées Internationales d'Analyse statistique des Données Textuelles ; https://hal.archives-ouvertes.fr/hal-03049589 ; JADT 2020 : 15èmes Journées Internationales d'Analyse statistique des Données Textuelles, Université de Toulouse, Jun 2020, Toulouse, France ; https://jadt2020.sciencesconf.org (2020)
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La textométrie en question
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In: ISSN: 0015-9409 ; Le Français Moderne - Revue de linguistique Française ; https://halshs.archives-ouvertes.fr/halshs-02902088 ; Le Français Moderne - Revue de linguistique Française, CILF (conseil international de la langue française), 2020, Linguistique et traitements quantitatifs, 88 (1), pp.26-43 ; http://www.le-francais-moderne.com/ (2020)
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Применение фильтра Калмана для навигационных задач железнодорожного транспорта ... : выпускная квалификационная работа бакалавра ...
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Хатымов, Ренат. - : Санкт-Петербургский политехнический университет Петра Великого, 2020
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Doing Linguistics with a Corpus: Methodological Considerations for the Everyday User. Jesse Egbert, Tove Larsson, Douglas Biber ...
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Economic and mathematical modeling of risks of introduction of information and communication technologies ...
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Economic and mathematical modeling of risks of introduction of information and communication technologies ...
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| 31 |
Statistical Complexity Analysis of Turing Machine tapes with Fixed Algorithmic Complexity Using the Best-Order Markov Model
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In: Entropy ; Volume 22 ; Issue 1 (2020)
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| 32 |
Analyzing Given Names ... : Exploring Potentials for a Personalized Name Discovery on Nameling.net ...
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| 33 |
THE PROBLEM OF GENERAL UNDERDEVELOPMENT OF SPEECH IN CHILDREN OF PRESCHOOL AGE ...
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| 34 |
Opinion-Mining on Marglish and Devanagari Comments of YouTube Cookery Channels Using Parametric and Non-Parametric Learning Models
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In: Big Data and Cognitive Computing ; Volume 4 ; Issue 1 (2020)
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| 35 |
Development of Gaussian Learning Algorithms for Early Detection of Alzheimer's Disease
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In: FIU Electronic Theses and Dissertations (2020)
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Abstract:
Alzheimer’s disease (AD) is the most common form of dementia affecting 10% of the population over the age of 65 and the growing costs in managing AD are estimated to be $259 billion, according to data reported in the 2017 by the Alzheimer's Association. Moreover, with cognitive decline, daily life of the affected persons and their families are severely impacted. Taking advantage of the diagnosis of AD and its prodromal stage of mild cognitive impairment (MCI), an early treatment may help patients preserve the quality of life and slow the progression of the disease, even though the underlying disease cannot be reversed or stopped. This research aims to develop Gaussian learning algorithms, natural language processing (NLP) techniques, and mathematical models to effectively delineate the MCI participants from the cognitively normal (CN) group, and identify the most significant brain regions and patterns of changes associated with the progression of AD. The focus will be placed on the earliest manifestations of the disease (early MCI or EMCI) to plan for effective curative/therapeutic interventions and protocols. Multiple modalities of biomarkers have been found to be significantly sensitive in assessing the progression of AD. In this work, several novel multimodal classification frameworks based on proposed Gaussian Learning algorithms are created and applied to neuroimaging data. Classification based on the combination of structural magnetic resonance imaging (MRI), positron emission tomography (PET), and cerebrospinal fluid (CSF) biomarkers is seen as the most reliable approach for high-accuracy classification. Additionally, changes in linguistic complexity may provide complementary information for the diagnosis and prognosis of AD. For this research endeavor, an NLP-oriented neuropsychological assessment is developed to automatically analyze the distinguishing characteristics of text data in MCI group versus those in CN group. Early findings suggest significant linguistic differences between CN and MCI subjects in terms of word usage, vocabulary, recall, fragmented sentences. In summary, the results obtained indicate a high potential of the neuroimaging-based classification and NLP-oriented assessment to be utilized as a practically computer aided diagnosis system for classification and prediction of AD and its prodromal stages. Future work will ultimately focus on early signs of AD that could help in the planning of curative and therapeutic intervention to slow the progression of the disease.
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Keyword:
Alzheimer’s disease; Biomedical; computer-aided diagnosis; Diagnosis; Diagnostic and Therapeutic Techniques and Equipment; dimensionality reduction; mild cognitive impairment (MCI); multiclass classification; multimodal analysis; Multivariate Analysis; natural language processing (NLP); Other Analytical; Other Biomedical Engineering and Bioengineering; Signal Processing; Statistical Models; Theory and Algorithms
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URL: https://digitalcommons.fiu.edu/etd/4398
https://digitalcommons.fiu.edu/cgi/viewcontent.cgi?article=5672&context=etd
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| 36 |
The Quality of Big Data: Development, Problems, and Possibilities of Use of Process-Generated Data in the Digital Age
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In: Historical Social Research ; 45 ; 3 ; 209-243 (2020)
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Adults' Identity in Acculturation Settings: The Multigroup Ethnic & National Identity Measure (MENI)
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In: Identity: An International Journal of Theory and Research ; 19 ; 4 ; 245-257 (2020)
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| 38 |
A rationale for unanimity in committees
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In: SP II 2017-308 ; Discussion Papers / Wissenschaftszentrum Berlin für Sozialforschung, Forschungsschwerpunkt Markt und Entscheidung, Abteilung Ökonomik des Wandels ; 41 (2020)
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An English-language adaptation of the Interpersonal Trust Short Scale (KUSIV3)
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In: Measurement Instruments for the Social Sciences ; 1-12 (2020)
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Adjusting for treatment switching in oncology trials: a systematic review and rRecommendations for reporting
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