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You searched for subject:(Emotion classification). Showing records 1 – 30 of 55 total matches.

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University of Manchester

1. Ahmad, Tariq Naseer. CLASSIFICATION OF TWEETS USING MULTIPLE THRESHOLDS WITH SELF-CORRECTION AND WEIGHTED CONDITIONAL PROBABILITIES.

Degree: 2020, University of Manchester

Emotion analysis aims to recognise emotions such as anger, joy and trust from texts. It is a trending topic because it can be applied in… (more)

Subjects/Keywords: multi-emotion classification; emotion analysis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ahmad, T. N. (2020). CLASSIFICATION OF TWEETS USING MULTIPLE THRESHOLDS WITH SELF-CORRECTION AND WEIGHTED CONDITIONAL PROBABILITIES. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:323659

Chicago Manual of Style (16th Edition):

Ahmad, Tariq Naseer. “CLASSIFICATION OF TWEETS USING MULTIPLE THRESHOLDS WITH SELF-CORRECTION AND WEIGHTED CONDITIONAL PROBABILITIES.” 2020. Doctoral Dissertation, University of Manchester. Accessed April 23, 2021. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:323659.

MLA Handbook (7th Edition):

Ahmad, Tariq Naseer. “CLASSIFICATION OF TWEETS USING MULTIPLE THRESHOLDS WITH SELF-CORRECTION AND WEIGHTED CONDITIONAL PROBABILITIES.” 2020. Web. 23 Apr 2021.

Vancouver:

Ahmad TN. CLASSIFICATION OF TWEETS USING MULTIPLE THRESHOLDS WITH SELF-CORRECTION AND WEIGHTED CONDITIONAL PROBABILITIES. [Internet] [Doctoral dissertation]. University of Manchester; 2020. [cited 2021 Apr 23]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:323659.

Council of Science Editors:

Ahmad TN. CLASSIFICATION OF TWEETS USING MULTIPLE THRESHOLDS WITH SELF-CORRECTION AND WEIGHTED CONDITIONAL PROBABILITIES. [Doctoral Dissertation]. University of Manchester; 2020. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:323659


NSYSU

2. Huang, Bor-Chen. Negative Emotion Detection with Consideration of Events and Places for Chinese Posts on Facebook and Applications.

Degree: Master, Computer Science and Engineering, 2015, NSYSU

 As the social network gains more popular, people would like to find the related information from social nets to figure out some signs before or… (more)

Subjects/Keywords: Negative emotion detection; Data mining; Emotion classification

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APA (6th Edition):

Huang, B. (2015). Negative Emotion Detection with Consideration of Events and Places for Chinese Posts on Facebook and Applications. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1130115-184224

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Huang, Bor-Chen. “Negative Emotion Detection with Consideration of Events and Places for Chinese Posts on Facebook and Applications.” 2015. Thesis, NSYSU. Accessed April 23, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1130115-184224.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Huang, Bor-Chen. “Negative Emotion Detection with Consideration of Events and Places for Chinese Posts on Facebook and Applications.” 2015. Web. 23 Apr 2021.

Vancouver:

Huang B. Negative Emotion Detection with Consideration of Events and Places for Chinese Posts on Facebook and Applications. [Internet] [Thesis]. NSYSU; 2015. [cited 2021 Apr 23]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1130115-184224.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Huang B. Negative Emotion Detection with Consideration of Events and Places for Chinese Posts on Facebook and Applications. [Thesis]. NSYSU; 2015. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1130115-184224

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of New South Wales

3. Wataraka Gamage, Kalani. Speech-Based Emotion Recognition: Linguistic and Saliency-Based Systems.

Degree: Electrical Engineering & Telecommunications, 2018, University of New South Wales

 Speech-based emotion recognition is a research field of growing interest, which aims to identifyhuman emotions based on speech. The main contributions of this thesis revolve… (more)

Subjects/Keywords: Emotion classification; Speech based Emotion Recognition; Continuous Emotion Prediction; Vocal Gestures; Non-verbal vocalizations; Lexical

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APA (6th Edition):

Wataraka Gamage, K. (2018). Speech-Based Emotion Recognition: Linguistic and Saliency-Based Systems. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/60426 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:52192/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Wataraka Gamage, Kalani. “Speech-Based Emotion Recognition: Linguistic and Saliency-Based Systems.” 2018. Doctoral Dissertation, University of New South Wales. Accessed April 23, 2021. http://handle.unsw.edu.au/1959.4/60426 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:52192/SOURCE02?view=true.

MLA Handbook (7th Edition):

Wataraka Gamage, Kalani. “Speech-Based Emotion Recognition: Linguistic and Saliency-Based Systems.” 2018. Web. 23 Apr 2021.

Vancouver:

Wataraka Gamage K. Speech-Based Emotion Recognition: Linguistic and Saliency-Based Systems. [Internet] [Doctoral dissertation]. University of New South Wales; 2018. [cited 2021 Apr 23]. Available from: http://handle.unsw.edu.au/1959.4/60426 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:52192/SOURCE02?view=true.

Council of Science Editors:

Wataraka Gamage K. Speech-Based Emotion Recognition: Linguistic and Saliency-Based Systems. [Doctoral Dissertation]. University of New South Wales; 2018. Available from: http://handle.unsw.edu.au/1959.4/60426 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:52192/SOURCE02?view=true

4. Abuhammad, H. Emotion classification using combinations of texture descriptors.

Degree: PhD, 2019, University of Exeter

 We present an automated new approach for facial expression recognition of seven emotions. The main objective of this thesis is building a model that can… (more)

Subjects/Keywords: facial Emotion; Texture Descriptors; Emotion Classification; SVM; Random Forests

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APA (6th Edition):

Abuhammad, H. (2019). Emotion classification using combinations of texture descriptors. (Doctoral Dissertation). University of Exeter. Retrieved from http://hdl.handle.net/10871/39319

Chicago Manual of Style (16th Edition):

Abuhammad, H. “Emotion classification using combinations of texture descriptors.” 2019. Doctoral Dissertation, University of Exeter. Accessed April 23, 2021. http://hdl.handle.net/10871/39319.

MLA Handbook (7th Edition):

Abuhammad, H. “Emotion classification using combinations of texture descriptors.” 2019. Web. 23 Apr 2021.

Vancouver:

Abuhammad H. Emotion classification using combinations of texture descriptors. [Internet] [Doctoral dissertation]. University of Exeter; 2019. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/10871/39319.

Council of Science Editors:

Abuhammad H. Emotion classification using combinations of texture descriptors. [Doctoral Dissertation]. University of Exeter; 2019. Available from: http://hdl.handle.net/10871/39319

5. Conneau, Anne-Claire. Reconnaissance automatique de l'émotion à partir de signaux EEG : Automatic recognition of emotion from EEG signals.

Degree: Docteur es, Signal et images, 2016, Paris, ENST

 Alors que l’utilisation de l’électro-encéphalographie (EEG) a longtemps été confinée au domaine médical, l’intérêt dansles interfaces cerveau-machine basées sur ces signaux s’est développé au cours… (more)

Subjects/Keywords: EEG; Emotion; Apprentissage automatique; Classification; Corpus; EEG; Emotion; Machine learning; Classification; Dataset

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Conneau, A. (2016). Reconnaissance automatique de l'émotion à partir de signaux EEG : Automatic recognition of emotion from EEG signals. (Doctoral Dissertation). Paris, ENST. Retrieved from http://www.theses.fr/2016ENST0033

Chicago Manual of Style (16th Edition):

Conneau, Anne-Claire. “Reconnaissance automatique de l'émotion à partir de signaux EEG : Automatic recognition of emotion from EEG signals.” 2016. Doctoral Dissertation, Paris, ENST. Accessed April 23, 2021. http://www.theses.fr/2016ENST0033.

MLA Handbook (7th Edition):

Conneau, Anne-Claire. “Reconnaissance automatique de l'émotion à partir de signaux EEG : Automatic recognition of emotion from EEG signals.” 2016. Web. 23 Apr 2021.

Vancouver:

Conneau A. Reconnaissance automatique de l'émotion à partir de signaux EEG : Automatic recognition of emotion from EEG signals. [Internet] [Doctoral dissertation]. Paris, ENST; 2016. [cited 2021 Apr 23]. Available from: http://www.theses.fr/2016ENST0033.

Council of Science Editors:

Conneau A. Reconnaissance automatique de l'émotion à partir de signaux EEG : Automatic recognition of emotion from EEG signals. [Doctoral Dissertation]. Paris, ENST; 2016. Available from: http://www.theses.fr/2016ENST0033

6. Al-Mahdawi, Amer. Automatic emotion recognition in English and Arabic text.

Degree: PhD, 2019, Bangor University

 This study investigated the automatic recognition of emotion in English and Arabic text. We perform experiments with a new method of classification for recognising emotions… (more)

Subjects/Keywords: PPM; text categorisation; text classification; emotion recognition; classification

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APA (6th Edition):

Al-Mahdawi, A. (2019). Automatic emotion recognition in English and Arabic text. (Doctoral Dissertation). Bangor University. Retrieved from https://research.bangor.ac.uk/portal/en/theses/automatic-emotion-recognition-in-english-and-arabic-text(3bd8b060-4c4a-4b5f-8e35-b86811a94228).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.782123

Chicago Manual of Style (16th Edition):

Al-Mahdawi, Amer. “Automatic emotion recognition in English and Arabic text.” 2019. Doctoral Dissertation, Bangor University. Accessed April 23, 2021. https://research.bangor.ac.uk/portal/en/theses/automatic-emotion-recognition-in-english-and-arabic-text(3bd8b060-4c4a-4b5f-8e35-b86811a94228).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.782123.

MLA Handbook (7th Edition):

Al-Mahdawi, Amer. “Automatic emotion recognition in English and Arabic text.” 2019. Web. 23 Apr 2021.

Vancouver:

Al-Mahdawi A. Automatic emotion recognition in English and Arabic text. [Internet] [Doctoral dissertation]. Bangor University; 2019. [cited 2021 Apr 23]. Available from: https://research.bangor.ac.uk/portal/en/theses/automatic-emotion-recognition-in-english-and-arabic-text(3bd8b060-4c4a-4b5f-8e35-b86811a94228).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.782123.

Council of Science Editors:

Al-Mahdawi A. Automatic emotion recognition in English and Arabic text. [Doctoral Dissertation]. Bangor University; 2019. Available from: https://research.bangor.ac.uk/portal/en/theses/automatic-emotion-recognition-in-english-and-arabic-text(3bd8b060-4c4a-4b5f-8e35-b86811a94228).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.782123


University of Houston

7. Neerkaje, Shrivatsa. Estimating the Emotional Content of an Image from the Observer's Eye Scan Patern.

Degree: MSin Electrical Engineering, Electrical Engineering, University of Houston

 The aim of the study is to predict the emotional gist of the image, namely the level of arousal (low or high) and kind of… (more)

Subjects/Keywords: Emotion Classification; Predictive analytics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Neerkaje, S. (n.d.). Estimating the Emotional Content of an Image from the Observer's Eye Scan Patern. (Masters Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/3678

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Chicago Manual of Style (16th Edition):

Neerkaje, Shrivatsa. “Estimating the Emotional Content of an Image from the Observer's Eye Scan Patern.” Masters Thesis, University of Houston. Accessed April 23, 2021. http://hdl.handle.net/10657/3678.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

MLA Handbook (7th Edition):

Neerkaje, Shrivatsa. “Estimating the Emotional Content of an Image from the Observer's Eye Scan Patern.” Web. 23 Apr 2021.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Neerkaje S. Estimating the Emotional Content of an Image from the Observer's Eye Scan Patern. [Internet] [Masters thesis]. University of Houston; [cited 2021 Apr 23]. Available from: http://hdl.handle.net/10657/3678.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Council of Science Editors:

Neerkaje S. Estimating the Emotional Content of an Image from the Observer's Eye Scan Patern. [Masters Thesis]. University of Houston; Available from: http://hdl.handle.net/10657/3678

Note: this citation may be lacking information needed for this citation format:
No year of publication.


Delft University of Technology

8. Rietveld, T.M. (author). The Effect of Temporal Supervision on the Prediction of Self-reported Emotion from Behavioural Features.

Degree: 2020, Delft University of Technology

 Continuous affective self-reports are intrusive and expensive to acquire, forcing researchers to use alternative labels for the construction of their predictive models. The most predominantly… (more)

Subjects/Keywords: Affective Computing; Emotion Classification; Self-reports; Machine Learning; Weakly Supervised Learning

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APA (6th Edition):

Rietveld, T. M. (. (2020). The Effect of Temporal Supervision on the Prediction of Self-reported Emotion from Behavioural Features. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:d9ecc6f2-19ab-4dc4-b3b4-513c7285677d

Chicago Manual of Style (16th Edition):

Rietveld, T M (author). “The Effect of Temporal Supervision on the Prediction of Self-reported Emotion from Behavioural Features.” 2020. Masters Thesis, Delft University of Technology. Accessed April 23, 2021. http://resolver.tudelft.nl/uuid:d9ecc6f2-19ab-4dc4-b3b4-513c7285677d.

MLA Handbook (7th Edition):

Rietveld, T M (author). “The Effect of Temporal Supervision on the Prediction of Self-reported Emotion from Behavioural Features.” 2020. Web. 23 Apr 2021.

Vancouver:

Rietveld TM(. The Effect of Temporal Supervision on the Prediction of Self-reported Emotion from Behavioural Features. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Apr 23]. Available from: http://resolver.tudelft.nl/uuid:d9ecc6f2-19ab-4dc4-b3b4-513c7285677d.

Council of Science Editors:

Rietveld TM(. The Effect of Temporal Supervision on the Prediction of Self-reported Emotion from Behavioural Features. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:d9ecc6f2-19ab-4dc4-b3b4-513c7285677d

9. Ferro, Adelino Rafael Mendes. Speech emotion recognition through statistical classification.

Degree: 2017, RCAAP

O propósito desta dissertação é a discussão do reconhecimento de emoção na voz. Para este fim, criou-se uma base de dados validada de discurso emocional… (more)

Subjects/Keywords: Theories of emotion; Speech emotion recognition; Emotional speech; Speech database; Statistical classification; SVM; Random Forests; ANN; Domínio/Área Científica::Humanidades::Artes

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APA (6th Edition):

Ferro, A. R. M. (2017). Speech emotion recognition through statistical classification. (Thesis). RCAAP. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ucp.pt:10400.14/22817

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ferro, Adelino Rafael Mendes. “Speech emotion recognition through statistical classification.” 2017. Thesis, RCAAP. Accessed April 23, 2021. http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ucp.pt:10400.14/22817.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ferro, Adelino Rafael Mendes. “Speech emotion recognition through statistical classification.” 2017. Web. 23 Apr 2021.

Vancouver:

Ferro ARM. Speech emotion recognition through statistical classification. [Internet] [Thesis]. RCAAP; 2017. [cited 2021 Apr 23]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ucp.pt:10400.14/22817.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ferro ARM. Speech emotion recognition through statistical classification. [Thesis]. RCAAP; 2017. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ucp.pt:10400.14/22817

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Université de Grenoble

10. Mathieu, Nicolas. Traitement neurocognitif des émotions au cours du vieillissement : étude de l'"effet de positivité" et ses conséquences : Neurocognitive processing of emotion during aging : study of "positivity effect" and its consequences : Behavioral and electroencephalographic assessments.

Degree: Docteur es, Sciences cognitives, psychologie et neurocognition, 2013, Université de Grenoble

Dans le vieillissement « sain », la préférence pour les stimuli positifs augmente par rapport aux stimuli négatifs. Ce phénomène est appelé « effet de… (more)

Subjects/Keywords: Vieillissement; Émotion; Effet de positivité; Attention; EEG; Classification; Aging; Emotion; Positivity effect; Attention; EEG; Emotion recognition; 610

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APA (6th Edition):

Mathieu, N. (2013). Traitement neurocognitif des émotions au cours du vieillissement : étude de l'"effet de positivité" et ses conséquences : Neurocognitive processing of emotion during aging : study of "positivity effect" and its consequences : Behavioral and electroencephalographic assessments. (Doctoral Dissertation). Université de Grenoble. Retrieved from http://www.theses.fr/2013GRENS031

Chicago Manual of Style (16th Edition):

Mathieu, Nicolas. “Traitement neurocognitif des émotions au cours du vieillissement : étude de l'"effet de positivité" et ses conséquences : Neurocognitive processing of emotion during aging : study of "positivity effect" and its consequences : Behavioral and electroencephalographic assessments.” 2013. Doctoral Dissertation, Université de Grenoble. Accessed April 23, 2021. http://www.theses.fr/2013GRENS031.

MLA Handbook (7th Edition):

Mathieu, Nicolas. “Traitement neurocognitif des émotions au cours du vieillissement : étude de l'"effet de positivité" et ses conséquences : Neurocognitive processing of emotion during aging : study of "positivity effect" and its consequences : Behavioral and electroencephalographic assessments.” 2013. Web. 23 Apr 2021.

Vancouver:

Mathieu N. Traitement neurocognitif des émotions au cours du vieillissement : étude de l'"effet de positivité" et ses conséquences : Neurocognitive processing of emotion during aging : study of "positivity effect" and its consequences : Behavioral and electroencephalographic assessments. [Internet] [Doctoral dissertation]. Université de Grenoble; 2013. [cited 2021 Apr 23]. Available from: http://www.theses.fr/2013GRENS031.

Council of Science Editors:

Mathieu N. Traitement neurocognitif des émotions au cours du vieillissement : étude de l'"effet de positivité" et ses conséquences : Neurocognitive processing of emotion during aging : study of "positivity effect" and its consequences : Behavioral and electroencephalographic assessments. [Doctoral Dissertation]. Université de Grenoble; 2013. Available from: http://www.theses.fr/2013GRENS031


Syracuse University

11. Liew, Jasy Suet Yan. FINE-GRAINED EMOTION DETECTION IN MICROBLOG TEXT.

Degree: PhD, School of Information Studies, 2016, Syracuse University

  Automatic emotion detection in text is concerned with using natural language processing techniques to recognize emotions expressed in written discourse. Endowing computers with the… (more)

Subjects/Keywords: emotion categories; fine-grained emotion classification; machine learning; microblog text; sentiment analysis; Twitter; Social and Behavioral Sciences

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APA (6th Edition):

Liew, J. S. Y. (2016). FINE-GRAINED EMOTION DETECTION IN MICROBLOG TEXT. (Doctoral Dissertation). Syracuse University. Retrieved from https://surface.syr.edu/etd/440

Chicago Manual of Style (16th Edition):

Liew, Jasy Suet Yan. “FINE-GRAINED EMOTION DETECTION IN MICROBLOG TEXT.” 2016. Doctoral Dissertation, Syracuse University. Accessed April 23, 2021. https://surface.syr.edu/etd/440.

MLA Handbook (7th Edition):

Liew, Jasy Suet Yan. “FINE-GRAINED EMOTION DETECTION IN MICROBLOG TEXT.” 2016. Web. 23 Apr 2021.

Vancouver:

Liew JSY. FINE-GRAINED EMOTION DETECTION IN MICROBLOG TEXT. [Internet] [Doctoral dissertation]. Syracuse University; 2016. [cited 2021 Apr 23]. Available from: https://surface.syr.edu/etd/440.

Council of Science Editors:

Liew JSY. FINE-GRAINED EMOTION DETECTION IN MICROBLOG TEXT. [Doctoral Dissertation]. Syracuse University; 2016. Available from: https://surface.syr.edu/etd/440


University of Rochester

12. Yang, Na. Algorithms for affective and ubiquitous sensing systems and for protein structure prediction.

Degree: PhD, 2015, University of Rochester

 Rapid development in sensing technologies has facilitated increased design of more affective and ubiquitous sensing environments for humans. Through affective sensing of human emotions and… (more)

Subjects/Keywords: Affective computing; Emotion classification; Mood sensing; Protein structure prediction; Ubiquitous computing; Wireless sensor networks

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APA (6th Edition):

Yang, N. (2015). Algorithms for affective and ubiquitous sensing systems and for protein structure prediction. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/29666

Chicago Manual of Style (16th Edition):

Yang, Na. “Algorithms for affective and ubiquitous sensing systems and for protein structure prediction.” 2015. Doctoral Dissertation, University of Rochester. Accessed April 23, 2021. http://hdl.handle.net/1802/29666.

MLA Handbook (7th Edition):

Yang, Na. “Algorithms for affective and ubiquitous sensing systems and for protein structure prediction.” 2015. Web. 23 Apr 2021.

Vancouver:

Yang N. Algorithms for affective and ubiquitous sensing systems and for protein structure prediction. [Internet] [Doctoral dissertation]. University of Rochester; 2015. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/1802/29666.

Council of Science Editors:

Yang N. Algorithms for affective and ubiquitous sensing systems and for protein structure prediction. [Doctoral Dissertation]. University of Rochester; 2015. Available from: http://hdl.handle.net/1802/29666


Virginia Tech

13. Christie, Israel C. Multivariate Discrimination of Emotion-Specific Autonomic Nervous System Activity.

Degree: MS, Psychology, 2002, Virginia Tech

 The present study investigated autonomic nervous system (ANS) patterning during experimentally manipulated emotion. Film clips previously shown to induce amusement, anger, contentment, disgust, fear, and… (more)

Subjects/Keywords: Emotion; Autonomic Specificity; Multivariate Pattern Classification

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APA (6th Edition):

Christie, I. C. (2002). Multivariate Discrimination of Emotion-Specific Autonomic Nervous System Activity. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/32903

Chicago Manual of Style (16th Edition):

Christie, Israel C. “Multivariate Discrimination of Emotion-Specific Autonomic Nervous System Activity.” 2002. Masters Thesis, Virginia Tech. Accessed April 23, 2021. http://hdl.handle.net/10919/32903.

MLA Handbook (7th Edition):

Christie, Israel C. “Multivariate Discrimination of Emotion-Specific Autonomic Nervous System Activity.” 2002. Web. 23 Apr 2021.

Vancouver:

Christie IC. Multivariate Discrimination of Emotion-Specific Autonomic Nervous System Activity. [Internet] [Masters thesis]. Virginia Tech; 2002. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/10919/32903.

Council of Science Editors:

Christie IC. Multivariate Discrimination of Emotion-Specific Autonomic Nervous System Activity. [Masters Thesis]. Virginia Tech; 2002. Available from: http://hdl.handle.net/10919/32903


Virginia Tech

14. Stephens, Chad Louis. Autonomic Differentiation of Emotions: A Cluster Analysis Approach.

Degree: MS, Psychology, 2007, Virginia Tech

 The autonomic specificity of emotion is intrinsic for many major theories of emotion. One of the goals of this study was to validate a standardized… (more)

Subjects/Keywords: Pattern Classification Analysis; Autonomic Specificity; Emotion

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APA (6th Edition):

Stephens, C. L. (2007). Autonomic Differentiation of Emotions: A Cluster Analysis Approach. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/79690

Chicago Manual of Style (16th Edition):

Stephens, Chad Louis. “Autonomic Differentiation of Emotions: A Cluster Analysis Approach.” 2007. Masters Thesis, Virginia Tech. Accessed April 23, 2021. http://hdl.handle.net/10919/79690.

MLA Handbook (7th Edition):

Stephens, Chad Louis. “Autonomic Differentiation of Emotions: A Cluster Analysis Approach.” 2007. Web. 23 Apr 2021.

Vancouver:

Stephens CL. Autonomic Differentiation of Emotions: A Cluster Analysis Approach. [Internet] [Masters thesis]. Virginia Tech; 2007. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/10919/79690.

Council of Science Editors:

Stephens CL. Autonomic Differentiation of Emotions: A Cluster Analysis Approach. [Masters Thesis]. Virginia Tech; 2007. Available from: http://hdl.handle.net/10919/79690


Kansas State University

15. Mowla, Md Rakibul. Applications of non-invasive brain-computer interfaces for communication and affect recognition.

Degree: PhD, Department of Electrical and Computer Engineering, 2020, Kansas State University

 Various assistive technologies are available for people with communication disorders. While these technologies are quite useful for moderate to severe movement impairments, certain progressive diseases… (more)

Subjects/Keywords: Brain-computer interfaces (BCIs); Electroencephalogram (EEG); Classification; P300 speller; Emotion recognition; Machine learning

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APA (6th Edition):

Mowla, M. R. (2020). Applications of non-invasive brain-computer interfaces for communication and affect recognition. (Doctoral Dissertation). Kansas State University. Retrieved from http://hdl.handle.net/2097/40613

Chicago Manual of Style (16th Edition):

Mowla, Md Rakibul. “Applications of non-invasive brain-computer interfaces for communication and affect recognition.” 2020. Doctoral Dissertation, Kansas State University. Accessed April 23, 2021. http://hdl.handle.net/2097/40613.

MLA Handbook (7th Edition):

Mowla, Md Rakibul. “Applications of non-invasive brain-computer interfaces for communication and affect recognition.” 2020. Web. 23 Apr 2021.

Vancouver:

Mowla MR. Applications of non-invasive brain-computer interfaces for communication and affect recognition. [Internet] [Doctoral dissertation]. Kansas State University; 2020. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/2097/40613.

Council of Science Editors:

Mowla MR. Applications of non-invasive brain-computer interfaces for communication and affect recognition. [Doctoral Dissertation]. Kansas State University; 2020. Available from: http://hdl.handle.net/2097/40613


University of Illinois – Urbana-Champaign

16. Hu, Xiao. Improving music mood classification using lyrics, audio and social tags.

Degree: PhD, 0370, 2011, University of Illinois – Urbana-Champaign

 The affective aspect of music (popularly known as music mood) is a newly emerging metadata type and access point to music information, but it has… (more)

Subjects/Keywords: Music mood classification; Music; Mood; Metadata; Social tags; Lyrics; Affect analysis; Multimodal classification; Emotion theories; Music mood categories; Music information retrieval

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hu, X. (2011). Improving music mood classification using lyrics, audio and social tags. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/18435

Chicago Manual of Style (16th Edition):

Hu, Xiao. “Improving music mood classification using lyrics, audio and social tags.” 2011. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed April 23, 2021. http://hdl.handle.net/2142/18435.

MLA Handbook (7th Edition):

Hu, Xiao. “Improving music mood classification using lyrics, audio and social tags.” 2011. Web. 23 Apr 2021.

Vancouver:

Hu X. Improving music mood classification using lyrics, audio and social tags. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2011. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/2142/18435.

Council of Science Editors:

Hu X. Improving music mood classification using lyrics, audio and social tags. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/18435

17. Leandro Yukio Mano Alves. FlexPersuade - Explorando uma abordagem flexível em softwares de persuasão: um estudo de caso com players de música.

Degree: 2016, University of São Paulo

Estudos atuais na área de Interação Humano-Computador evidenciam a importância de se considerar aspectos emocionais na interação com sistemas computacionais. Acredita-se que ao permitir agentes… (more)

Subjects/Keywords: Classificação da emoção; Comitê de classificação; FaceTracker; Interação humano-computador (IHC); Emotion classification; Ensemble of classification; FaceTracker; Human- computer interaction (HCI)

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APA (6th Edition):

Alves, L. Y. M. (2016). FlexPersuade - Explorando uma abordagem flexível em softwares de persuasão: um estudo de caso com players de música. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/55/55134/tde-18112016-112815/

Chicago Manual of Style (16th Edition):

Alves, Leandro Yukio Mano. “FlexPersuade - Explorando uma abordagem flexível em softwares de persuasão: um estudo de caso com players de música.” 2016. Masters Thesis, University of São Paulo. Accessed April 23, 2021. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-18112016-112815/.

MLA Handbook (7th Edition):

Alves, Leandro Yukio Mano. “FlexPersuade - Explorando uma abordagem flexível em softwares de persuasão: um estudo de caso com players de música.” 2016. Web. 23 Apr 2021.

Vancouver:

Alves LYM. FlexPersuade - Explorando uma abordagem flexível em softwares de persuasão: um estudo de caso com players de música. [Internet] [Masters thesis]. University of São Paulo; 2016. [cited 2021 Apr 23]. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-18112016-112815/.

Council of Science Editors:

Alves LYM. FlexPersuade - Explorando uma abordagem flexível em softwares de persuasão: um estudo de caso com players de música. [Masters Thesis]. University of São Paulo; 2016. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-18112016-112815/


University of Southern California

18. Mower, Emily K. Emotions in engineering: methods for the interpretation of ambiguous emotional content.

Degree: PhD, Electrical Engineering, 2010, University of Southern California

Emotion has intrigued researchers for generations. This fascination has permeated the engineering community, motivating the development of affective computational models for the classification of affective… (more)

Subjects/Keywords: emotion; perception; emotion profiles; emotion classification; emotion representation; audio-visual emotion; audio-visual emotion perception; multimodal emotion expression; facial emotion expression; McGurk effect; hidden Markov model; agglomerative hierarchical clustering; expressive animation; multimodality; affective computing

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APA (6th Edition):

Mower, E. K. (2010). Emotions in engineering: methods for the interpretation of ambiguous emotional content. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/419710/rec/2316

Chicago Manual of Style (16th Edition):

Mower, Emily K. “Emotions in engineering: methods for the interpretation of ambiguous emotional content.” 2010. Doctoral Dissertation, University of Southern California. Accessed April 23, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/419710/rec/2316.

MLA Handbook (7th Edition):

Mower, Emily K. “Emotions in engineering: methods for the interpretation of ambiguous emotional content.” 2010. Web. 23 Apr 2021.

Vancouver:

Mower EK. Emotions in engineering: methods for the interpretation of ambiguous emotional content. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2021 Apr 23]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/419710/rec/2316.

Council of Science Editors:

Mower EK. Emotions in engineering: methods for the interpretation of ambiguous emotional content. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/419710/rec/2316

19. Wang, Wenbo. Automatic Emotion Identification from Text.

Degree: PhD, Computer Science and Engineering PhD, 2015, Wright State University

 People's emotions can be gleaned from their text using machine learning techniques to build models that exploit large self-labeled emotion data from social media. Further,… (more)

Subjects/Keywords: Computer Science; Emotion Identification; Emotion Classification; Emotion Adaptation; Self-labeled Data Creation; Emotion Analysis

classification; that is, classifying textual units into different emotion categories such as joy, anger… …hybrid emotion classification approaches in Section 2.5. Finally, we talk about recent studies… …Self-labeled Emotion Data Creation Many emotion classification techniques require annotated… …on large datasets remains a challenge. 2.4 Supervised Emotion Classification Supervised… …labels. Tokuhisa et al. (2008) apply a twostep approach for emotion classification: a… 

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APA (6th Edition):

Wang, W. (2015). Automatic Emotion Identification from Text. (Doctoral Dissertation). Wright State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=wright1440974400

Chicago Manual of Style (16th Edition):

Wang, Wenbo. “Automatic Emotion Identification from Text.” 2015. Doctoral Dissertation, Wright State University. Accessed April 23, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=wright1440974400.

MLA Handbook (7th Edition):

Wang, Wenbo. “Automatic Emotion Identification from Text.” 2015. Web. 23 Apr 2021.

Vancouver:

Wang W. Automatic Emotion Identification from Text. [Internet] [Doctoral dissertation]. Wright State University; 2015. [cited 2021 Apr 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1440974400.

Council of Science Editors:

Wang W. Automatic Emotion Identification from Text. [Doctoral Dissertation]. Wright State University; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1440974400

20. Banerjee, Debrup. Speech Based Machine Learning Models for Emotional State Recognition and PTSD Detection.

Degree: PhD, Electrical/Computer Engineering, 2017, Old Dominion University

  Recognition of emotional state and diagnosis of trauma related illnesses such as posttraumatic stress disorder (PTSD) using speech signals have been active research topics… (more)

Subjects/Keywords: Deep learning; Emotion classification; Emotion recognition; Machine learning; Sparse code; Speech features; Artificial Intelligence and Robotics; Computer Engineering; Electrical and Computer Engineering

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APA (6th Edition):

Banerjee, D. (2017). Speech Based Machine Learning Models for Emotional State Recognition and PTSD Detection. (Doctoral Dissertation). Old Dominion University. Retrieved from 9780438021969 ; https://digitalcommons.odu.edu/ece_etds/31

Chicago Manual of Style (16th Edition):

Banerjee, Debrup. “Speech Based Machine Learning Models for Emotional State Recognition and PTSD Detection.” 2017. Doctoral Dissertation, Old Dominion University. Accessed April 23, 2021. 9780438021969 ; https://digitalcommons.odu.edu/ece_etds/31.

MLA Handbook (7th Edition):

Banerjee, Debrup. “Speech Based Machine Learning Models for Emotional State Recognition and PTSD Detection.” 2017. Web. 23 Apr 2021.

Vancouver:

Banerjee D. Speech Based Machine Learning Models for Emotional State Recognition and PTSD Detection. [Internet] [Doctoral dissertation]. Old Dominion University; 2017. [cited 2021 Apr 23]. Available from: 9780438021969 ; https://digitalcommons.odu.edu/ece_etds/31.

Council of Science Editors:

Banerjee D. Speech Based Machine Learning Models for Emotional State Recognition and PTSD Detection. [Doctoral Dissertation]. Old Dominion University; 2017. Available from: 9780438021969 ; https://digitalcommons.odu.edu/ece_etds/31

21. Romih, Anamarija. Učinki treninga regulacije čustev pri učencih osnovne šole.

Degree: 2017, Univerza v Mariboru

Regulacija čustev je ključna spretnost v življenju. Napoveduje splošno prilagoditev, kakovost socialnih odnosov, uspešnost in psihično ter fizično zdravje. Pri otrocih je spodbujanje spretnosti regulacije… (more)

Subjects/Keywords: regulacija čustev; trening regulacije čustev; učenci; preventivni program; učinki treninga; emotion regulation; emotion regulation training; pupils; precautionary programme; effects of the training; info:eu-repo/classification/udc/37.015.3:159.942(043.2)

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APA (6th Edition):

Romih, A. (2017). Učinki treninga regulacije čustev pri učencih osnovne šole. (Masters Thesis). Univerza v Mariboru. Retrieved from https://dk.um.si/IzpisGradiva.php?id=68689 ; https://dk.um.si/Dokument.php?id=119493&dn= ; https://plus.si.cobiss.net/opac7/bib/23478792?lang=sl

Chicago Manual of Style (16th Edition):

Romih, Anamarija. “Učinki treninga regulacije čustev pri učencih osnovne šole.” 2017. Masters Thesis, Univerza v Mariboru. Accessed April 23, 2021. https://dk.um.si/IzpisGradiva.php?id=68689 ; https://dk.um.si/Dokument.php?id=119493&dn= ; https://plus.si.cobiss.net/opac7/bib/23478792?lang=sl.

MLA Handbook (7th Edition):

Romih, Anamarija. “Učinki treninga regulacije čustev pri učencih osnovne šole.” 2017. Web. 23 Apr 2021.

Vancouver:

Romih A. Učinki treninga regulacije čustev pri učencih osnovne šole. [Internet] [Masters thesis]. Univerza v Mariboru; 2017. [cited 2021 Apr 23]. Available from: https://dk.um.si/IzpisGradiva.php?id=68689 ; https://dk.um.si/Dokument.php?id=119493&dn= ; https://plus.si.cobiss.net/opac7/bib/23478792?lang=sl.

Council of Science Editors:

Romih A. Učinki treninga regulacije čustev pri učencih osnovne šole. [Masters Thesis]. Univerza v Mariboru; 2017. Available from: https://dk.um.si/IzpisGradiva.php?id=68689 ; https://dk.um.si/Dokument.php?id=119493&dn= ; https://plus.si.cobiss.net/opac7/bib/23478792?lang=sl


Universidade Nova

22. Vale, Pedro Miguel Fernandes. The role of artist and genre on music emotion recognition.

Degree: 2017, Universidade Nova

 The goal of this study is to classify a dataset of songs according to their emotion and to understand the impact that the artist and… (more)

Subjects/Keywords: Music Emotion Recognition (MER); Music Information Retrieval (MIR); Songs; Emotions; Data Mining; Classification; Support Vector Machines

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APA (6th Edition):

Vale, P. M. F. (2017). The role of artist and genre on music emotion recognition. (Thesis). Universidade Nova. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/26303

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Vale, Pedro Miguel Fernandes. “The role of artist and genre on music emotion recognition.” 2017. Thesis, Universidade Nova. Accessed April 23, 2021. https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/26303.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Vale, Pedro Miguel Fernandes. “The role of artist and genre on music emotion recognition.” 2017. Web. 23 Apr 2021.

Vancouver:

Vale PMF. The role of artist and genre on music emotion recognition. [Internet] [Thesis]. Universidade Nova; 2017. [cited 2021 Apr 23]. Available from: https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/26303.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vale PMF. The role of artist and genre on music emotion recognition. [Thesis]. Universidade Nova; 2017. Available from: https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/26303

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Northeastern University

23. Siegel, Erika Hansen. Fingerprints or populations?: bodily responses during affect and emotion.

Degree: PhD, Department of Psychology, 2016, Northeastern University

 For as long as scholars have been writing about the human mind they have been speculating on the nature of affect and emotion. Currently, scientists… (more)

Subjects/Keywords: affect; emotion; meta analysis; pattern classification; psychophysiology; Emotions; Physiological aspects; Autonomic nervous system; Physiological aspects; Psychophysiology; Affect (Psychology); Multivariate analysis

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APA (6th Edition):

Siegel, E. H. (2016). Fingerprints or populations?: bodily responses during affect and emotion. (Doctoral Dissertation). Northeastern University. Retrieved from http://hdl.handle.net/2047/D20195405

Chicago Manual of Style (16th Edition):

Siegel, Erika Hansen. “Fingerprints or populations?: bodily responses during affect and emotion.” 2016. Doctoral Dissertation, Northeastern University. Accessed April 23, 2021. http://hdl.handle.net/2047/D20195405.

MLA Handbook (7th Edition):

Siegel, Erika Hansen. “Fingerprints or populations?: bodily responses during affect and emotion.” 2016. Web. 23 Apr 2021.

Vancouver:

Siegel EH. Fingerprints or populations?: bodily responses during affect and emotion. [Internet] [Doctoral dissertation]. Northeastern University; 2016. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/2047/D20195405.

Council of Science Editors:

Siegel EH. Fingerprints or populations?: bodily responses during affect and emotion. [Doctoral Dissertation]. Northeastern University; 2016. Available from: http://hdl.handle.net/2047/D20195405

24. Kamenik, Anja. Stres in uravnavanje čustev pri nadarjenih učencih.

Degree: 2017, Univerza v Mariboru

Teoretično ozadje: Stres predstavlja prilagodljiv odziv na neke zunanje situacije, ki lahko vodijo k spremembam. Slednje se lahko kažejo na vedenjskem, fizičnem ali mentalnem področju.… (more)

Subjects/Keywords: nadarjenost; mladostništvo; stres; uravnavanje čustev.; Gift; adolescence; stress; emotion regulations.; info:eu-repo/classification/udc/159.944.4:37.091.212.3(043.2)

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APA (6th Edition):

Kamenik, A. (2017). Stres in uravnavanje čustev pri nadarjenih učencih. (Masters Thesis). Univerza v Mariboru. Retrieved from https://dk.um.si/IzpisGradiva.php?id=66632 ; https://dk.um.si/Dokument.php?id=113620&dn= ; https://plus.si.cobiss.net/opac7/bib/23331592?lang=sl

Chicago Manual of Style (16th Edition):

Kamenik, Anja. “Stres in uravnavanje čustev pri nadarjenih učencih.” 2017. Masters Thesis, Univerza v Mariboru. Accessed April 23, 2021. https://dk.um.si/IzpisGradiva.php?id=66632 ; https://dk.um.si/Dokument.php?id=113620&dn= ; https://plus.si.cobiss.net/opac7/bib/23331592?lang=sl.

MLA Handbook (7th Edition):

Kamenik, Anja. “Stres in uravnavanje čustev pri nadarjenih učencih.” 2017. Web. 23 Apr 2021.

Vancouver:

Kamenik A. Stres in uravnavanje čustev pri nadarjenih učencih. [Internet] [Masters thesis]. Univerza v Mariboru; 2017. [cited 2021 Apr 23]. Available from: https://dk.um.si/IzpisGradiva.php?id=66632 ; https://dk.um.si/Dokument.php?id=113620&dn= ; https://plus.si.cobiss.net/opac7/bib/23331592?lang=sl.

Council of Science Editors:

Kamenik A. Stres in uravnavanje čustev pri nadarjenih učencih. [Masters Thesis]. Univerza v Mariboru; 2017. Available from: https://dk.um.si/IzpisGradiva.php?id=66632 ; https://dk.um.si/Dokument.php?id=113620&dn= ; https://plus.si.cobiss.net/opac7/bib/23331592?lang=sl

25. Zelenik, Aleš. VEČLOČLJIVOSTNO IZLOČANJE ZNAČILK PRI RAZPOZNAVANJU EMOCIJ V GOVORU.

Degree: 2013, Univerza v Mariboru

V doktorski nalogi obravnavamo problematiko prepoznave emocionalnega govora iz avdio posnetkov. V okviru naloge je za izločanje značilk uporabljenih več različnih širin kratkočasovnih procesnih oken,… (more)

Subjects/Keywords: govor; razpoznavanje emocij; segmentacija; večločljivost; speech; emotion recognition; segmentation; multi-resolution; info:eu-repo/classification/udc/004.934:004.383.3(043.3)

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APA (6th Edition):

Zelenik, A. (2013). VEČLOČLJIVOSTNO IZLOČANJE ZNAČILK PRI RAZPOZNAVANJU EMOCIJ V GOVORU. (Doctoral Dissertation). Univerza v Mariboru. Retrieved from https://dk.um.si/IzpisGradiva.php?id=39949 ; https://dk.um.si/Dokument.php?id=54369&dn= ; https://plus.si.cobiss.net/opac7/bib/266300928?lang=sl

Chicago Manual of Style (16th Edition):

Zelenik, Aleš. “VEČLOČLJIVOSTNO IZLOČANJE ZNAČILK PRI RAZPOZNAVANJU EMOCIJ V GOVORU.” 2013. Doctoral Dissertation, Univerza v Mariboru. Accessed April 23, 2021. https://dk.um.si/IzpisGradiva.php?id=39949 ; https://dk.um.si/Dokument.php?id=54369&dn= ; https://plus.si.cobiss.net/opac7/bib/266300928?lang=sl.

MLA Handbook (7th Edition):

Zelenik, Aleš. “VEČLOČLJIVOSTNO IZLOČANJE ZNAČILK PRI RAZPOZNAVANJU EMOCIJ V GOVORU.” 2013. Web. 23 Apr 2021.

Vancouver:

Zelenik A. VEČLOČLJIVOSTNO IZLOČANJE ZNAČILK PRI RAZPOZNAVANJU EMOCIJ V GOVORU. [Internet] [Doctoral dissertation]. Univerza v Mariboru; 2013. [cited 2021 Apr 23]. Available from: https://dk.um.si/IzpisGradiva.php?id=39949 ; https://dk.um.si/Dokument.php?id=54369&dn= ; https://plus.si.cobiss.net/opac7/bib/266300928?lang=sl.

Council of Science Editors:

Zelenik A. VEČLOČLJIVOSTNO IZLOČANJE ZNAČILK PRI RAZPOZNAVANJU EMOCIJ V GOVORU. [Doctoral Dissertation]. Univerza v Mariboru; 2013. Available from: https://dk.um.si/IzpisGradiva.php?id=39949 ; https://dk.um.si/Dokument.php?id=54369&dn= ; https://plus.si.cobiss.net/opac7/bib/266300928?lang=sl

26. Radinović, Ksenija. Slogi navezanosti in dimenzije uravnavanja čustev.

Degree: 2020, Univerza v Mariboru

Uravnavanje čustev ima ključno vlogo v zdravem, prilagojenem delovanju človeka in je predmet raziskovanja mnogih avtorjev, ki povezujejo spoznanja psiholoških in bioloških disciplin. V sodobni… (more)

Subjects/Keywords: uravnavanje čustev; slogi navezanosti; razlike med spoloma; emotion regulation; attachment styles; gender differences; info:eu-repo/classification/udc/159.942-055.1/.2(043.2)

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APA (6th Edition):

Radinović, K. (2020). Slogi navezanosti in dimenzije uravnavanja čustev. (Masters Thesis). Univerza v Mariboru. Retrieved from https://dk.um.si/IzpisGradiva.php?id=75697 ; https://dk.um.si/Dokument.php?id=140351&dn= ; https://plus.si.cobiss.net/opac7/bib/25138440?lang=sl

Chicago Manual of Style (16th Edition):

Radinović, Ksenija. “Slogi navezanosti in dimenzije uravnavanja čustev.” 2020. Masters Thesis, Univerza v Mariboru. Accessed April 23, 2021. https://dk.um.si/IzpisGradiva.php?id=75697 ; https://dk.um.si/Dokument.php?id=140351&dn= ; https://plus.si.cobiss.net/opac7/bib/25138440?lang=sl.

MLA Handbook (7th Edition):

Radinović, Ksenija. “Slogi navezanosti in dimenzije uravnavanja čustev.” 2020. Web. 23 Apr 2021.

Vancouver:

Radinović K. Slogi navezanosti in dimenzije uravnavanja čustev. [Internet] [Masters thesis]. Univerza v Mariboru; 2020. [cited 2021 Apr 23]. Available from: https://dk.um.si/IzpisGradiva.php?id=75697 ; https://dk.um.si/Dokument.php?id=140351&dn= ; https://plus.si.cobiss.net/opac7/bib/25138440?lang=sl.

Council of Science Editors:

Radinović K. Slogi navezanosti in dimenzije uravnavanja čustev. [Masters Thesis]. Univerza v Mariboru; 2020. Available from: https://dk.um.si/IzpisGradiva.php?id=75697 ; https://dk.um.si/Dokument.php?id=140351&dn= ; https://plus.si.cobiss.net/opac7/bib/25138440?lang=sl


RMIT University

27. He, L. Stress and emotion recognition in natural speech in the work and family environments.

Degree: 2010, RMIT University

 The speech stress and emotion recognition and classification technology has a potential to provide significant benefits to the national and international industry and society in… (more)

Subjects/Keywords: Fields of Research; stress classification; emotion classification; speech analysis; feature extraction; nonlinear modelling

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

He, L. (2010). Stress and emotion recognition in natural speech in the work and family environments. (Thesis). RMIT University. Retrieved from http://researchbank.rmit.edu.au/view/rmit:10578

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

He, L. “Stress and emotion recognition in natural speech in the work and family environments.” 2010. Thesis, RMIT University. Accessed April 23, 2021. http://researchbank.rmit.edu.au/view/rmit:10578.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

He, L. “Stress and emotion recognition in natural speech in the work and family environments.” 2010. Web. 23 Apr 2021.

Vancouver:

He L. Stress and emotion recognition in natural speech in the work and family environments. [Internet] [Thesis]. RMIT University; 2010. [cited 2021 Apr 23]. Available from: http://researchbank.rmit.edu.au/view/rmit:10578.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

He L. Stress and emotion recognition in natural speech in the work and family environments. [Thesis]. RMIT University; 2010. Available from: http://researchbank.rmit.edu.au/view/rmit:10578

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Victoria

28. Dufour, Isabelle. Improving Music Mood Annotation Using Polygonal Circular Regression.

Degree: Department of Computer Science, 2015, University of Victoria

 Music mood recognition by machine continues to attract attention from both academia and industry. This thesis explores the hypothesis that the music emotion problem is… (more)

Subjects/Keywords: Polygonal Circular Regression; Automatic Mood Classification; Audio Features; Music Information Retrieval (MIR); Music Emotion Recognition (MER); Machine Learning; Mood annotation; Content-based audio; valence-arousal; Affective computing; Circular regression; Emotion recognition; Circular model

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Dufour, I. (2015). Improving Music Mood Annotation Using Polygonal Circular Regression. (Masters Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/6613

Chicago Manual of Style (16th Edition):

Dufour, Isabelle. “Improving Music Mood Annotation Using Polygonal Circular Regression.” 2015. Masters Thesis, University of Victoria. Accessed April 23, 2021. http://hdl.handle.net/1828/6613.

MLA Handbook (7th Edition):

Dufour, Isabelle. “Improving Music Mood Annotation Using Polygonal Circular Regression.” 2015. Web. 23 Apr 2021.

Vancouver:

Dufour I. Improving Music Mood Annotation Using Polygonal Circular Regression. [Internet] [Masters thesis]. University of Victoria; 2015. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/1828/6613.

Council of Science Editors:

Dufour I. Improving Music Mood Annotation Using Polygonal Circular Regression. [Masters Thesis]. University of Victoria; 2015. Available from: http://hdl.handle.net/1828/6613


Brno University of Technology

29. Červenec, Radek. Rozpoznávání emocí v česky psaných textech: Recognition of emotions in Czech texts.

Degree: 2014, Brno University of Technology

 With advances in information and communication technologies over the past few years, the amount of information stored in the form of electronic text documents has… (more)

Subjects/Keywords: dolování znalostí; genetický algoritmus; kategorizace; klasifikace; lemmatizace; lemmatizátor; lexikální databáze; rozpoznávání emocí; strojové učení; SVM; trénovací množina; WordNet; annotated corpus; categorization; classification; emotion detection; emotion recognition; feature selection; genetic algorithm; lemmatization; lemmatizer; lexical database; machine learning; SVM; text mining; WordNet

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Červenec, R. (2014). Rozpoznávání emocí v česky psaných textech: Recognition of emotions in Czech texts. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/3781

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Červenec, Radek. “Rozpoznávání emocí v česky psaných textech: Recognition of emotions in Czech texts.” 2014. Thesis, Brno University of Technology. Accessed April 23, 2021. http://hdl.handle.net/11012/3781.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Červenec, Radek. “Rozpoznávání emocí v česky psaných textech: Recognition of emotions in Czech texts.” 2014. Web. 23 Apr 2021.

Vancouver:

Červenec R. Rozpoznávání emocí v česky psaných textech: Recognition of emotions in Czech texts. [Internet] [Thesis]. Brno University of Technology; 2014. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/11012/3781.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Červenec R. Rozpoznávání emocí v česky psaných textech: Recognition of emotions in Czech texts. [Thesis]. Brno University of Technology; 2014. Available from: http://hdl.handle.net/11012/3781

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Harvard University

30. Reyneke, Rupert. Improving Interactive User Experience With Microinteractions: an Application of Biometric and Affect Detection Systems on Landing Pages.

Degree: ALM, 2019, Harvard University

The essence of User Experience (UX) is to improve the quality of the user’s interaction with and perception of the product or service offered. Measuring… (more)

Subjects/Keywords: AFFDEX; Affectiva; emotions; emotion classification; facial micro-expressions; microinteractions; FACS; facial expression; feedback loop; user experience; iMotions; Tobi; user experience; UX/UI.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Reyneke, R. (2019). Improving Interactive User Experience With Microinteractions: an Application of Biometric and Affect Detection Systems on Landing Pages. (Masters Thesis). Harvard University. Retrieved from http://nrs.harvard.edu/urn-3:HUL.InstRepos:42006719

Chicago Manual of Style (16th Edition):

Reyneke, Rupert. “Improving Interactive User Experience With Microinteractions: an Application of Biometric and Affect Detection Systems on Landing Pages.” 2019. Masters Thesis, Harvard University. Accessed April 23, 2021. http://nrs.harvard.edu/urn-3:HUL.InstRepos:42006719.

MLA Handbook (7th Edition):

Reyneke, Rupert. “Improving Interactive User Experience With Microinteractions: an Application of Biometric and Affect Detection Systems on Landing Pages.” 2019. Web. 23 Apr 2021.

Vancouver:

Reyneke R. Improving Interactive User Experience With Microinteractions: an Application of Biometric and Affect Detection Systems on Landing Pages. [Internet] [Masters thesis]. Harvard University; 2019. [cited 2021 Apr 23]. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:42006719.

Council of Science Editors:

Reyneke R. Improving Interactive User Experience With Microinteractions: an Application of Biometric and Affect Detection Systems on Landing Pages. [Masters Thesis]. Harvard University; 2019. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:42006719

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