General Classification
3931 papers with code • 11 benchmarks • 8 datasets
Algorithms trying to solve the general task of classification.
Benchmarks
These leaderboards are used to track progress in General Classification
Libraries
Use these libraries to find General Classification models and implementations
MNIST
Fashion-MNIST
Adult
iris
Hyper-Kvasir Dataset
Wine
Kvasir-Capsule
CVR
Latest papers with no code
Binary classification of proteins by a Machine Learning approach
The aim of the work is to design a prototypical Deep Learning machinery for the collection and management of a huge amount of data and to validate it through its application to the classification of a sequences of amino acids.
Is Attention always needed? A Case Study on Language Identification from Speech
Language Identification (LID) is a crucial preliminary process in the field of Automatic Speech Recognition (ASR) that involves the identification of a spoken language from audio samples.
Rule-Based Classification of Hyperspectral Imaging Data
Due to its high spatial and spectral information content, hyperspectral imaging opens up new possibilities for a better understanding of data and scenes in a wide variety of applications.
AFINet: Attentive Feature Integration Networks for Image Classification
Convolutional Neural Networks (CNNs) have achieved tremendous success in a number of learning tasks including image classification.
An Autonomous Drone for Search and Rescue in Forests using Airborne Optical Sectioning
Drones will play an essential role in human-machine teaming in future search and rescue (SAR) missions.
Examining and Mitigating Kernel Saturation in Convolutional Neural Networks using Negative Images
Our results show that CNNs are indeed susceptible to convolutional kernel saturation and that supplementing negative images to the training dataset can offer a statistically significant increase in classification accuracies when compared against models trained on the original datasets.
Loss-Aversively Fair Classification
Motivated by extensive literature in behavioral economics and behavioral psychology (prospect theory), we propose a notion of fair updates that we refer to as loss-averse updates.
GMOTE: Gaussian based minority oversampling technique for imbalanced classification adapting tail probability of outliers
The performance of the GMOTE is compared with other methods such as SMOTE.
The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification
We demonstrate that the temporal dictionary ensemble (TDE) is more accurate than other dictionary based approaches.
Improving Patent Mining and Relevance Classification using Transformers
Patent analysis and mining are time-consuming and costly processes for companies, but nevertheless essential if they are willing to remain competitive.
