Towards uncertainty-aware and label-efficient machine learning of human expressive behaviour

QR Code

Towards uncertainty-aware and label-efficient machine learning of human expressive behaviour

The ability to recognise emotional expressions from non-verbal behaviour plays a key role in human-human interaction. Endowing machines with the same ability is critical to enriching human-computer interaction. Despite receiving widespread attention so far, human-level automatic recognition of affec...

Full description

Bibliographic Details
Main Author:	Tellamekala, Mani Kumar
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2022
Subjects:	Emotion Recognition Machine Learning Uncertainty Modelling Self-supervised Learning Probabilistic Machine Learning Models Stochastic Process Regression Uncertainty-Aware Learning Label Ambiguity
Online Access:	https://eprints.nottingham.ac.uk/71876/

Similar Items

Assessment and weighting of meteorological ensemble forecast members based on supervised machine learning with application to runoff simulations and flood warning
by: Doycheva, Kristina, et al.
Published: (2017)

Self-labeling techniques for semi-supervised time series classification: an empirical study
by: González, Mabel, et al.
Published: (2017)

Poor transferability of machine learning classification models: classifying vegetation on palsa complexes in Arctic Sweden
by: Dancer, Holly
Published: (2024)

SOF: a semi-supervised ontology - learning - based focused crawler
by: Dong, Hai, et al.
Published: (2013)

Cross-database representation and transfer learning of facial expressions
by: Almaev, Timur
Published: (2018)

Support vector machine and its applications for linear and nonlinear regression in the presence of outliers of high dimensional data
by: Sleabi, Waleed Dhhan
Published: (2016)

From clusters to queries: exploiting uncertainty in the modularity landscape of complex networks
by: Gilbert, James P., et al.
Published: (2018)

Figurative language detection using deep and contextual features
by: Razali, Md Saifullah
Published: (2023)

Efficient Training and Implementation of Gaussian Process Potentials
by: Broad, Jack W.
Published: (2022)

Self-supervised learning for automatic speech recognition In low-resource environments
by: Fatehi, Kavan
Published: (2024)

Determining the number of training points required for machine learning of potential energy surfaces.
by: Pearson, Matt
Published: (2021)

Towards principled learner selection
by: Rattray, Andrew
Published: (2013)

Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process
by: Ali Al-Assadi, Hayder M. A.
Published: (2004)

Deep learning approach with image noise reduction to determine planting density and defected paddy seedlings
by: Mohamed Anuar, Mohamed Marzhar
Published: (2022)

Improveing Agent-based modelling by using machine learning
by: Shen, Xin
Published: (2022)

In-process measurement of the surface quality for a novel finishing process for polymer additive manufacturing
by: Syam, Wahyudin P., et al.
Published: (2018)

Age classification using Hierarchical Support Vector Machine based on characteristics of upper facial area
by: Dahlan, Hadi Affendy
Published: (2013)

Abstracting common errors in the learning of time intervals via cognitive diagnostic assessment / Phei-Ling Tan, Liew-Kee Kor and Chap-Sam Lim
by: Phei, Ling Tan, et al.
Published: (2019)

The Cosmic Evolution of Galaxy Structure and Morphology at 0.5 < z < 8
by: Ferreira, Leonardo
Published: (2023)

Detection on ambiguous software requirements specification written in malay using machine learning
by: Zahrin, Mohd Firdaus
Published: (2017)

End-to-end DVB-S2X system design with deep learning-based channel estimation over satellite fading channels
by: Mfarej, Sumaya Dhari Awad
Published: (2021)

GPS ambiguity resolution: Impact of time correlation, cross correlation and satellite elevation dependence.
by: Teunissen, Peter
Published: (1997)

Enhanced extreme learning machine for general regression and classification tasks
by: Mahmood, Saif F
Published: (2020)

A Transductive Learning Approach to Process Fault Identification
by: Jemwa, G., et al.
Published: (2010)

Arterial spin labelling perfusion MRI: enhanced processing and automated quality control
by: Hu, Jian
Published: (2025)

An ensemble of machine learning and anti-learning methods for predicting tumour patient survival rates
by: Roadknight, Chris, et al.
Published: (2015)

Early universe cosmology and its observational effects on the cosmic microwave background
by: Charnock, Tom
Published: (2017)

MyScan barcode scanner price comparison application / Nur Sharina Abdul Mutalib
by: Nur Sharina, Abdul Mutalib
Published: (2016)

Dynamic Bayesian Networks and Variable Length Genetic Algorithm for Dialogue Act Recognition
by: Ali Yahya, Anwar
Published: (2007)

Effects of extended features on text-based classifier for corrective maintenance
by: Mahmoodian, Naghmeh
Published: (2011)

Hybrid performance measures and mixed evaluation method for data classification problems
by: Hossin, Mohammad
Published: (2012)

Machine learning classification of macronutrient levels in oil palm trees with Landsat-8 imagery
by: Kok, Zhi Hong
Published: (2021)

Analyzing the effects of uncertainties on the economic performance of a chemical process plant using a probabilistic optimization technique
by: Woldetensay, Mesfin Getu, et al.
Published: (2012)

Analyzing the effects of uncertainties on the economic performance of a chemical process plant using a probabilistic optimization technique
by: Woldetensay, Mesfin, et al.
Published: (2012)

Measurement of challenge and self-efficacy in learning
by: Lopez, Michael
Published: (2012)

What predicts workplace self-paced e-learning outcomes?: an exploratory study of motivation, self-regulated learning characteristics, and organisational contextual factors
by: Chau, Yat Kwong
Published: (2018)

A state of the art opinion mining and its application domains
by: Binali, Haji, et al.
Published: (2009)

ES-Rank: evolution strategy learning to rank approach
by: Ibrahim, Osman Ali Sadek, et al.
Published: (2017)

Reinforcement Learning Approach to Determine Effective Inventory Policy
by: Nurkasanah, Ika
Published: (2019)

Evolutionary algorithms and machine learning techniques for information retrieval
by: Ibrahim, Osman Ali Sadek
Published: (2017)