On rater reliability and agreement based dynamic active learning
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Eduardo Coutinho | Björn W. Schuller | Zixing Zhang | Yue Zhang | Michael Adam | Björn Schuller | Zixing Zhang | Yue Zhang | E. Coutinho | M. Adam
[1] Avrim Blum,et al. The Bottleneck , 2021, Monopsony Capitalism.
[2] C. L. Rusting,et al. Personality, mood, and cognitive processing of emotional information: three conceptual frameworks. , 1998, Psychological bulletin.
[3] Björn Schuller,et al. The Computational Paralinguistics Challenge , 2012 .
[4] J. Lafferty,et al. Combining active learning and semi-supervised learning using Gaussian fields and harmonic functions , 2003, ICML 2003.
[5] K. Kroschel,et al. Evaluation of natural emotions using self assessment manikins , 2005, IEEE Workshop on Automatic Speech Recognition and Understanding, 2005..
[6] Gökhan Tür,et al. Combining active and semi-supervised learning for spoken language understanding , 2005, Speech Commun..
[7] Prasad Tadepalli,et al. Active learning with committees: an approach to efficient learning in text categorization using linear threshold algorithms , 2000 .
[8] Kwong-Sak Leung,et al. A Survey of Crowdsourcing Systems , 2011, 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing.
[9] J. Henry,et al. A meta-analytic review of emotion recognition and aging: Implications for neuropsychological models of aging , 2008, Neuroscience & Biobehavioral Reviews.
[10] Björn W. Schuller,et al. The Computational Paralinguistics Challenge [Social Sciences] , 2012, IEEE Signal Processing Magazine.
[11] Daniel Voyer,et al. Sex differences in the ability to recognise non-verbal displays of emotion: A meta-analysis , 2014, Cognition & emotion.
[12] Elmar Nöth,et al. "Of all things the measure is man" automatic classification of emotions and inter-labeler consistency [speech-based emotion recognition] , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..
[13] Ian H. Witten,et al. The WEKA data mining software: an update , 2009, SKDD.
[14] Björn Schuller,et al. Computational Paralinguistics , 2013 .
[15] John Platt,et al. Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods , 1999 .
[16] Björn Schuller,et al. Opensmile: the munich versatile and fast open-source audio feature extractor , 2010, ACM Multimedia.
[17] Eduardo Coutinho,et al. Cooperative Learning and its Application to Emotion Recognition from Speech , 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[18] Aniket Kittur,et al. Crowdsourcing user studies with Mechanical Turk , 2008, CHI.
[19] Stefan Steidl,et al. Automatic classification of emotion related user states in spontaneous children's speech , 2009 .
[20] Björn W. Schuller,et al. Active Learning by Sparse Instance Tracking and Classifier Confidence in Acoustic Emotion Recognition , 2012, INTERSPEECH.
[21] Xiaojin Zhu,et al. --1 CONTENTS , 2006 .
[22] Margaret McRorie,et al. Emotional intelligence, personality and the decoding of non-verbal expressions of emotion , 2012 .
[23] Eduardo Coutinho,et al. Agreement-based Dynamic Active Learning with Least and Medium Certainty Query Strategy , 2015 .
[24] Burr Settles,et al. Active Learning Literature Survey , 2009 .
[25] Ishwar K. Sethi,et al. Confidence-based active learning , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[26] Björn W. Schuller,et al. The INTERSPEECH 2009 emotion challenge , 2009, INTERSPEECH.
[27] ChunChen,et al. EMOTION RECOGNITION FROM NOISY SPEECH , 2006 .
[28] Björn W. Schuller,et al. Recent developments in openSMILE, the munich open-source multimedia feature extractor , 2013, ACM Multimedia.