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Found 12 papers, 1 papers with code
Do Multimodal Emotion Recognition Models Tackle Ambiguity?
This paper investigates the problem as a review of ambiguity in multimodal emotion recognition models.
A comparative study of emotion recognition methods using facial expressions
Understanding the facial expressions of our interlocutor is important to enrich the communication and to give it a depth that goes beyond the explicitly expressed.
Explainable classification of astronomical uncertain time series
Exploring the expansion history of the universe, understanding its evolutionary stages, and predicting its future evolution are important goals in astrophysics.
Expert Opinion Elicitation for Assisting Deep Learning based Lyme Disease Classifier with Patient Data
Existing works on deep learning based EM recognition only utilizes lesion image due to the lack of a dataset of Lyme disease related images with associated patient data.
Uncertain Time Series Classification With Shapelet Transform
We then propose the uncertain shapelet transform algorithm for the classification of uncertain time series.
Discovering Frequent Gradual Itemsets with Imprecise Data
Recently, these types of patterns have caught the attention of the data mining community, where several methods have been defined to automatically extract and manage these patterns from different data models.
Classification des S{é}ries Temporelles Incertaines par Transformation Shapelet
We also show how to use this new measure to adapt shapelet transformation to uncertain time series classification.
Extracting Frequent Gradual Patterns Using Constraints Modeling
In this paper, we propose a constraint-based modeling approach for the problem of discovering frequent gradual patterns in a numerical dataset.
Towards Learned Clauses Database Reduction Strategies Based on Dominance Relationship
However the diversity in both the number of clauses to be removed at each step of reduction and the results obtained with each strategy creates confusion to determine which criterion is better.
Multiple instance learning for sequence data with across bag dependencies
In Multiple Instance Learning (MIL) problem for sequence data, the instances inside the bags are sequences.
Towards a constructive multilayer perceptron for regression task using non-parametric clustering. A case study of Photo-Z redshift reconstruction
The choice of architecture of artificial neuron network (ANN) is still a challenging task that users face every time.
Efficient construction of the lattice of frequent closed patterns and simultaneous extraction of generic bases of rules
In the last few years, the amount of collected data, in various computer science applications, has grown considerably.
Data Structures and Algorithms
