Iterative distillation for better uncertainty estimates in multitask emotion recognition
When recognizing emotions, subtle nuances in displays of emotion generate ambiguity or
uncertainty in emotion perception. Emotion uncertainty has been previously interpreted as …
uncertainty in emotion perception. Emotion uncertainty has been previously interpreted as …
Collision-probability-aware human-machine cooperative planning for safe automated driving
In this paper, we investigate a novel collision probability-aware human-machine cooperative
planning and tracking method for enhancing safety of automated vehicles. Firstly, a long …
planning and tracking method for enhancing safety of automated vehicles. Firstly, a long …
Dynamic difficulty awareness training for continuous emotion prediction
Time-continuous emotion prediction has become an increasingly compelling task in
machine learning. Considerable efforts have been made to advance the performance of …
machine learning. Considerable efforts have been made to advance the performance of …
The ambiguous world of emotion representation
Artificial intelligence and machine learning systems have demonstrated huge improvements
and human-level parity in a range of activities, including speech recognition, face …
and human-level parity in a range of activities, including speech recognition, face …
Investigating word affect features and fusion of probabilistic predictions incorporating uncertainty in AVEC 2017
Predicting emotion intensity and severity of depression are both challenging and important
problems within the broader field of affective computing. As part of the AVEC 2017, we …
problems within the broader field of affective computing. As part of the AVEC 2017, we …
Estimating the uncertainty in emotion attributes using deep evidential regression
W Wu, C Zhang, PC Woodland - arXiv preprint arXiv:2306.06760, 2023 - arxiv.org
In automatic emotion recognition (AER), labels assigned by different human annotators to
the same utterance are often inconsistent due to the inherent complexity of emotion and the …
the same utterance are often inconsistent due to the inherent complexity of emotion and the …
Estimating the uncertainty in emotion class labels with utterance-specific Dirichlet priors
Emotion recognition is a key attribute for artificial intelligence systems that need to naturally
interact with humans. However, the task definition is still an open problem due to the …
interact with humans. However, the task definition is still an open problem due to the …
Modelling variability in human annotator simulation
Human annotator simulation (HAS) serves as a cost-effective substitute for human
evaluation tasks such as data annotation and system assessment. It is important to …
evaluation tasks such as data annotation and system assessment. It is important to …
It HAS to be Subjective: Human Annotator Simulation via Zero-shot Density Estimation
Human annotator simulation (HAS) serves as a cost-effective substitute for human
evaluation such as data annotation and system assessment. Human perception and …
evaluation such as data annotation and system assessment. Human perception and …
[HTML][HTML] Exploring perception uncertainty for emotion recognition in dyadic conversation and music listening
Predicting emotions automatically is an active field of research in affective computing.
Considering the property of the individual's subjectivity, the label of an emotional instance is …
Considering the property of the individual's subjectivity, the label of an emotional instance is …