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Predicting emotionally salient regions using qualitative agreement of deep neural network regressors
Automatic emotion recognition plays a crucial role in various fields such as healthcare,
human-computer interaction (HCI) and security and defense. While most of previous studies …
human-computer interaction (HCI) and security and defense. While most of previous studies …
A novel method for human bias correction of continuous-time annotations
Human annotations are of integral value in human behavior studies and in particular for the
generation of ground truth for behavior prediction using various machine learning methods …
generation of ground truth for behavior prediction using various machine learning methods …
MSP-GEO Corpus: A Multimodal Database for Understanding Video-Learning Experience
Video-based learning has become a popular, scalable, and effective approach for students
to learn new skills. Many of the challenges for video-based learning can be addressed with …
to learn new skills. Many of the challenges for video-based learning can be addressed with …
[PDF][PDF] An Expectation Maximization Approach to Joint Modeling of Multidimensional Ratings Derived from Multiple Annotators.
Ratings from multiple human annotators are often pooled in applications where the ground
truth is hidden. Examples include annotating perceived emotions and assessing quality …
truth is hidden. Examples include annotating perceived emotions and assessing quality …
Generating labels for regression of subjective constructs using triplet embeddings
Human annotations serve an important role in computational models where the target
constructs under study are hidden, such as dimensions of affect. This is especially relevant …
constructs under study are hidden, such as dimensions of affect. This is especially relevant …
Fusion of valence and arousal annotations through dynamic subjective ordinal modelling
An essential issue when training and validating computer vision systems for affect analysis
is how to obtain reliable ground-truth labels from a pool of subjective annotations. In this …
is how to obtain reliable ground-truth labels from a pool of subjective annotations. In this …
Speech and language processing for mental health research and care
Speech signal processing is being increasingly explored in health domains given both its
centrality as a behavioral cue and the promise of robust, automated analysis of data at scale …
centrality as a behavioral cue and the promise of robust, automated analysis of data at scale …
A novel crowd-sourcing inference method
J Liu, WC Tang, Y Chen, M Li… - 2019 15th International …, 2019 - ieeexplore.ieee.org
With the fast growing of artificial intelligence (AI), more and more applications require
querying uncertain data, especially from social media and crowd sourcing platform. In …
querying uncertain data, especially from social media and crowd sourcing platform. In …
Collaborative Strategy Consulting Services Model and Framework for Small and Medium Business in Emerging Market
FJ Meng, SX Yang, P Ji… - 2010 6th World Congress …, 2010 - ieeexplore.ieee.org
Strategy consulting services are a high-end knowledge-intensive business. Consulting
service providers (CSPs) regard them as vital business because they can lead to additional …
service providers (CSPs) regard them as vital business because they can lead to additional …
[PDF][PDF] COMPUTATIONAL MODELS FOR MULTIDIMENSIONAL ANNOTATIONS OF AFFECT
A Ramakrishna - 2019 - sipi.usc.edu
Affect is an abstract entity which is said to manifest prior to the realm of personal awareness
or consciousness [2]. According to [3], it is fundamental in nature and subsumes several …
or consciousness [2]. According to [3], it is fundamental in nature and subsumes several …