The thesis aims to develop a deep learning model for facial emotion recognition using Convolutional Neural Network algorithm and Multiclass Classification along with Hyper-parameter tuning using Bayesian Optimization to improve the performance of the model. The developed model recognizes seven basic emotions in images of human beings such as fear, happy, surprise, sad, neutral, disgust and angry using FER-2013 dataset.

A Ansiedade de Performance Musical (APM) é considerada uma condição caracterizada por apreensão persistente e intensa diante da apresentação musical pública, desproporcional ao nível de aptidão, treino e preparo do músico. Os sintomas ocorrem em uma escala de gravidade contínua que em seu extremo afeta a aptidão musical devido a sintomas ao nível físico, comportamental e cognitivo, além de déficits no processamento cognitivo e cognição social, em especial na capacidade de reconhecimento de expressões faciais de emoção (REFE). Assim, intervenções que possam corrigir esses vieses com eficácia são necessárias. Nesse sentido, os objetivos dos estudos que compõem esta tese são: a) avaliar o REFE em músicos com diferentes níveis de APM; b) realizar uma revisão sistemática da literatura de forma a trazer evidências sobre os efeitos das substâncias ansiolíticas no REFE em indivíduos saudáveis; e c) conduzir um ensaio clínico, cross over, randomizado, duplo cego e controlado por placebo para testar o efeito da OCT em músicos com alto/baixo nível de APM no REFE, nos indicadores de humor/ansiedade e na cognição negativa. Método: Para se atender ao objetivo realizou-se um estudoobservacional, transversal, com 150 músicos de ambos os sexos, de diferentes estilos musicais, os quais realizaram uma tarefa de REFE, após serem classificados quanto aos níveis de APM.Para atender-se o segundo objetivo conduziu-se uma revisão sistemática da literatura seguindo-se as diretrizes do PRISMA e do Cochrane Handbook for SystematicReviewsofInterventions. Por fim, para alcançar o terceiro objetivo, 43 músicos do sexo masculino, de diferentes estilos musicais participaram de um ensaio clínico, randomizado, cross over, controlado por placebo, no qual testou-se a eficácia de 24UI de OCT intranasal. Resultados:Os resultados evidenciaram que os músicos com altos níveis de APM apresentam um prejuízo global no REFE, expresso, sobretudo pela dificuldade no reconhecimento adequado da emoção alegria, a qual está associada aos sinais de aprovação social. A revisão da literatura evidenciou que poucas substâncias foram testadas até momento, e que as alterações no REFE foram específicas e dependentes do mecanismo de ação da substância no sistema nervoso central, dose e forma de administração. O ensaio clínico apontou uma melhora no reconhecimento da emoção alegria,somente em músicos com altos níveis de APM, após o uso agudo da OCT. Conclusão:O REFE mostrou-se alterado de forma específica em músicos com altos níveis de APM, os quais podem ser corrigidos através do uso da OCT intranasal, a qual desponta como uma substância promissora para o uso clínico / Musical Performance Anxiety (MPA) is considered a condition characterized by persistent and intense apprehension in circumstances involving public musical presentation, disproportionate to the musician\'s aptitude level, training and preparation. The symptoms occur on a continuous severity scale that affects, at its extreme, the musical aptitude due to symptoms at the physical, behavioral and cognitive levels, as well as interfering with cognitive processing and social cognition, especially in the facial emotion recognition (FER) ability. Thus, interventions that can effectively correct these deviances are necessary. Therefore, the aims of the studies that compose this thesis are: a) to analyze the (FER) in musicians with different levels of MPA; b) to carry out a systematic review of the literature in order to present evidence about the effects of anxiolytic substances on FER in healthy individuals; c) to conduct a randomized, double-blind, placebo-controlled, cross-over clinical trial to test the OT effect on musicians with high/low MPA level in FER, mood/anxiety indicators and negative cognition. Methods: To achieve the first aim of this study, a cross-sectional, observational study was conducted with 150 musicians of both sexes, of different musical styles, who performed a FER task, after being classified according to the MPA levels. As for the second aim, a systematic literature review was carried out in accordance with the PRISMA guidelines and the Cochrane Handbook for Systematic Reviews of Interventions. Finally, for the third aim, 43 male musicians of different musical styles have participated in a randomized, placebo-controlled, cross-over clinical trial in which the 24UI of intranasal OT efficiency was tested. Results: The results showed that musicians with high levels of MPA present a global impairment in FER, expressed mainly by the difficulty in the appropriate recognition of the emotion of joy, which is associated with signs of social approval. The review of the literature showed that few substances have been tested so far, and that the changes in FER were specific and dependent on the substance mechanism of action in the central nervous system, dose and form of administration. The clinical trial presented an improvement in the recognition of the emotion of joy, only in musicians with high levels of MPA, after the OT acute use. Conclusion: The FER was specifically altered in musicians with high levels of MPA, which can be corrected with the use of intranasal OT, which appears as a promising substance for clinical use

The aim of the current study was to investigate the roles of meta-mood experience on the mood congruency effect in recognizing emotions from neutral facial expressions. For this aim, three scales were translated and adapted to Turkish, namely Brief Mood Introspection Scale (BMIS), State Meta-Mood Scale (SMMS), and Trait Meta-Mood Scale (TMMS). The reliability and validity analyses came out to be satisfactory. For the main analyses, an experimental study was conducted. The experimental design consisted of the administration of the Brief Symptom Inventory, Pre- induction Brief Mood Introspection Scale, Trait Meta-MoodScale, and Basic Personality Traits Inventory in the first step, followed by a sad mood induction procedure and the administration of Post- Brief Symptom Inventory, and State Meta-Mood Scale in the second step. The last step consisted of the administration of the NimStim Set of Facial Expressions. For the main analyses regarding mood congruency only the v mislabelings of neutral faces as sad or happy were considered. The results revealed that among personality traits Agreeableness was negatively associated with perceiving fast displayed neutral faces as sad. After controlling for personality traits / however, unpleasant mood measured before the mood induction procedure was positively associated with perceiving neutral faces as sad. When perceiving slow displayed neutral faces as happy were examined, it was found that anxiety was positively associated with such a bias. After controlling for symptomatology, among personality traits, extraversion and conscientiousness were found to be negatively associated with mislabelling slow displayed neutral faces as happy. Among the evaluative domain of the SMMS, typicality was found to be negatively associated with such a bias / and lastly, among the regulatory domain of the SMMS, emotional repair was found to be negatively associated with mislabelling slow displayed neutral faces as happy.

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This study focused on the criterion-related validity of the Implicit Positive and Negative Affect Test (IPANAT). The IPANAT is thought to be a measure of automatic activation of cognitive representations of affects. In this study, it was investigated whether implicit affect scores differentially predict ratings of facial emotions over and above explicit affectivity. Ninety-six young female participants completed the IPANAT, the Positive and Negative Affect Schedule (PANAS) as an explicit measure of state and trait affectivity, and a task for the perception of facial emotions. Implicit negative affect predicted the perception of negative but not positive facial emotions, whereas implicit positive affect predicted the perception of positive but not negative facial emotions. The observed double-dissociation in the correlational pattern strongly supports the validity of the IPANAT as a measure of implicit affectivity and is indicative of the orthogonality and thus functional distinctness of the two affect dimensions of the IPANAT. Moreover, such affect-congruent correlations were absent for explicit affect scales, which additionally supports the incremental validity of the IPANAT.

Объектом исследования являются методы машинного обучения, позволяющие фильтровать данные, и методы разработки информационных платформ. Фильтрация данных подобного типа применяется в такой области, как поисковые системы, чтобы на основе запроса выдать пользователю релевантные результаты. Предмет исследования – разработка модели машинного обучения, фильтрующей текстовые данные, и информационной платформы для отображения отфильтрованных данных. Особенностями исследования являются открытая реализация полного проекта, то есть она доступна каждому, и возможность его модификации. Для обучения модели был использован самостоятельно составленный набор научных работ, информационная платформа была разработана с нуля. Итоговая модель LSTM, выбранная методом сравнения метрик, показала результат предсказания соответствия целевой тематике в 90%, что позволяет говорить о ее возможном внедрении в соответствующие Интернет-ресурсы, так как они гарантированно уменьшат объем научных работ, проверяемых вручную. / The object of the research is machine learning methods that allow filtering text data obtained from the information platform. Filtering of this type of data is used in such an area as search engines to give relevant results to the user based on a query. Within the framework of this dissertation, it was proposed to apply machine learning methods to filter a set of scientific papers based on their title and target label in the form of the subject of the work. The features of the study are the open implementation of the full project, that is, it is available to everyone, and the possibility of its modification. A self-compiled set of scientific papers was used to train the model, the information platform was developed from scratch. The final LSTM model, chosen by the method of comparing metrics, showed the result of predicting compliance with the target topic in 95%, which allows us to talk about its possible implementation in the relevant Internet resources, since they are guaranteed to reduce the volume of scientific papers checked manually.

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