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Spoken emotion recognition using hierarchical classifiers
(Elsevier, 2011-07)
The recognition of the emotional state of speakers is a multi-disciplinary research area that has received great interest over the last years. One of the most important goals is to improve the voice-based human-machine ...
Evaluating hierarchical machine learning approaches to classify biological databases.
(Stewart Publications, 2022)
HCAIM: a discretizer for the hierarchical classification scenario applied to bioinformatics datasets
(Universidade Federal do Ceará, 2018)
Approaches based on tree-structures classifiers to protein fold prediction
(Institute of Electrical and Electronics Engineers Inc., 2017-08)
Protein fold recognition is an important task in the biological area. Different machine learning methods such as multiclass classifiers, one-vs-all and ensemble nested dichotomies were applied to this task and, in most of ...
An extensive evaluation of decision tree-based hierarchical multilabel classification methods and performance measures
(Wiley-BlackwellMalden, 2015-02)
Hierarchical multilabel classification is a complex classification problem where an instance can be assigned to more than one class simultaneously, and these classes are hierarchically organized with superclasses and ...
Evolving relational hierarchical classification rules for predicting gene ontology-based protein functions
(Association for Computing Machinery Special Interest Group on Genetic and Evolutionary Computation - ACM SIGEVOVancouver, 2014-07)
Hierarchical Multi-Label Classification (HMC) is a complex classification problem where instances can be classified into many classes simultaneously, and these classes are organized in a hierarchical structure, having ...
Hierarchical learning using deep optimum-path forest
(2020-08-01)
Bag-of-Visual Words (BoVW) and deep learning techniques have been widely used in several domains, which include computer-assisted medical diagnoses. In this work, we are interested in developing tools for the automatic ...
Environment mapping for mobile robots navigation using hierarchical neural network and omnivision
(2008-11-24)
Autonomous robots must be able to learn and maintain models of their environments. In this context, the present work considers techniques for the classification and extraction of features from images in joined with artificial ...
Headway regularity as an attribute for classifying bus drivers
(2024)
Different indices have been proposed in the literature to characterize headway regularity. These metrics aggregate the headway variability for a service, but none can be directly associated with a specific driver. This ...