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FMA Dataset
Music Genre Classification (MGC) is an essential task in the research field of Music Information Retrieval (MIR) Recently, inspired by the progress achieved by Deep Learning (DL)... -
Positive-Confidence Classification
The proposed method is for binary classification from positive data equipped with confidence. The authors propose a novel problem setting and algorithm for binary classification... -
Image Segmentation
The Image Segmentation dataset is used to evaluate the performance of the ensemble average rule. -
Semi-supervised sequence classification through change point detection
Sequential sensor data is generated in a wide variety of practical applications. A fundamental challenge involves learning effective classifiers for such sequential data. While... -
Classification datasets
The dataset used for classification settings, including Wine, Covertype, and Speaker. -
kth-tips2-b
Texture classification is an important and challenging problem in many image processing applications. -
Speech Commands
The Speech Commands dataset consists of 105809 one-second audio recordings of 35 spoken words sampled at 16kHz. The raw speech commands dataset presents audio recordings as a... -
Multi-view Multi-label Anomaly Network Traffic Classification based on MLP-Mixe...
Network traffic classification is the basis of many network security applications and has attracted enough attention in the field of cyberspace security. -
German dataset
The dataset used in this paper is the German dataset, which is a real-world UCI Machine Learning dataset extracted from a German bank for default prediction. -
Adult dataset
A commonly observed pattern in machine learning models is an underprediction of the target feature, with the model’s predicted target rate for members of a given category...
