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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. -
Learning with Noisy Labels for Robust Point Cloud Segmentation
Point cloud segmentation is a fundamental task in 3D. Despite recent progress on point cloud segmentation with the power of deep networks, current deep learning methods based on... -
SmartKex: Machine Learning Assisted SSH Keys Extraction From The Heap Dump
The dataset is a collection of heap memory snapshots of OpenSSH processes, extracted using SSHKex, with features added for SSH client monitoring. -
Dialogue Summarization
Dialogue summarization datasets including SAMSum, DialogSum, TODSum, and DREAM. -
Quantum Process Logic - Take IIb
The dataset consists of a graphical language for describing quantum phenomena and meaning-related linguistic phenomena. -
Quantum Process Logic - Take IIa
The dataset consists of a graphical language for describing quantum phenomena and meaning-related linguistic phenomena. -
Quantum Process Logic
The dataset consists of a graphical language for describing quantum phenomena and meaning-related linguistic phenomena. -
H-Fac: Memory-Efficient Optimization with Factorized Hamiltonian Descent
The dataset used in this study is a benchmark for evaluating the performance of memory-efficient optimizers. -
Training Data and Runtime Monitoring for Safety Critical ML Applications
The dataset used in the study on challenges encountered when specifying training data and runtime monitors for safety critical ML applications. -
Benchmark S-systems
The dataset used in the paper is a set of time-course data for four benchmark S-systems. -
MOASIS MobiPro Study
The dataset is used for the analysis of cognitive abilities in older adults. It contains location information obtained from contactless ambient sensors. -
StrongAge Cohort Study
The dataset is used for the analysis of cognitive abilities in older adults. It contains location information obtained from contactless ambient sensors. -
Poldrack et al., (2015) and Laumann et al., (2015) resting state fMRI data
Longitudinal single subject resting state data presented in Poldrack et al., (2015) and Laumann et al., (2015) and freely available as raw scans at... -
Plans With Loops and Noise
The dataset used in the paper is a collection of plans with loops and noise, where the agent can perform actions and sense the environment.