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pina-ortiz-2023-1
IsSupplementTo: https://doi.org/10.1007/s10336-022-02037-5; IsSourceOf: https://doi.org/10.48366/jdch5102 -
pina-ortiz-2024-1
IsSupplementTo: https://doi.org/10.1007/s00227-023-04375-1; IsSourceOf: https://doi.org/10.48366/pnyjvq66 -
Hurdles to Open Access Publishing Faced by Authors a scoping literature revie...
This supplementary file contains the dataset compiled for the scoping review "Hurdles to Open Access Publishing Faced by Authors: a scoping literature review from 2004 to 2023". -
paredes-2022-1
IsSupplementTo: https://doi.org/10.1007/s10340-022-01489-1; IsSourceOf: https://doi.org/10.48366/3ah4st56 -
akter-2023-1
IsSupplementTo: https://doi.org/10.1002/ece3.9737; IsSourceOf: TODO -
perez-alvarez-2018-2
IsSupplementTo: https://doi.org/10.1002/eap.1695; IsSourceOf: https://doi.org/10.48366/a8z1y877 -
baimuratov-2024-2
IsSupplementTo: https://doi.org/10.1145/3677389.3702506; IsSourceOf: https://doi.org/10.48366/r27fmj60 -
millan-marquez-2024-1
IsSupplementTo: https://doi.org/10.1007/s00338-024-02552-2; IsSourceOf: https://doi.org/10.48366/w6h6gc84 -
Joint Observations
The dataset used in the paper is a set of joint observations that are used to train the generative model. The dataset is used to evaluate the performance of the proposed method... -
Multi-Agent Environment
The dataset used in the paper is a multi-agent environment where agents learn to coordinate their actions to achieve a common goal. The dataset is used to evaluate the proposed... -
ACDC Challenge and M&Ms Challenge
The ACDC challenge and M&Ms challenge datasets are used for evaluating the proposed method. -
Harmonic Decompositions of Convolutional Networks
The dataset used in this paper is a collection of images of faces, each with a different expression. -
CEC2017 Constrained Real-Parameter Optimization Benchmark Functions
The dataset used in this paper for constrained real-parameter optimization problems. -
Yahoo Answers topics
The dataset used in this paper for few-shot text classification task. -
M&M Initiative (MMI) dataset
The MMI facial expression dataset contains 203 sequences from 19 subjects. -
Multimedia Understanding Group (MUG) dataset
The MUG facial expression dataset contains 1462 sequences from 86 subjects. -
Recognition of Facial Expressions Based on Salient Geometric Features and Sup...
The proposed FER system is evaluated on three different datasets: extended Cohn-Kanade (CK+) facial expression dataset, M&M Initiative (MMI) dataset, and Multimedia... -
Specificity measures and reference
The dataset used in the paper is a set of geometric objects and basic properties such as color, size and position, all of which can be viewed as gradual.