In this paper, we briefly introduce the solution developed by our team, HFUT-VUT, for the track of Micro-gesture Classification in the MiGA challenge at IJCAI 2024. The task of micro-gesture classification task involves recognizing the category of a...
Skin cancer, the most common human malignancy, is primarily diagnosed visually by physicians [1]. Classification with an automated method like CNN [2, 3] shows potential for challenging tasks [1]. By now, the deep convolutional neural networks are on...
Dialogue Act (DA) classification is the task of classifying utterances with respect to the function they serve in a dialogue. Existing approaches to DA classification model utterances without incorporating the turn changes among speakers throughout t...
A hyperspectral remote sensing image classification model for inclusion and reproduction. (⭐ 1015)
Image classification has always been a hot and challenging task. This paper is a brief report to our submission to the VIPriors Image Classification Challenge. In this challenge, the difficulty is how to train the model from scratch without any pretr...
In order to solve the recent defect in garbage classification - including low level of intelligence, low accuracy and high cost of equipment, this paper presents a series of methods in identification and judgment in intelligent garbage classification...
Log messages are now widely used in software systems. They are important for classification as millions of logs are generated each day. Most logs are unstructured which makes classification a challenge. In this paper, Deep Learning (DL) methods calle...
In this note, we verify the classification of local geometries given by A.Z. Petrov. First, we determine criteria for identifying a given 3D Lorentz homogeneous space in Petrov's classification. Then, we identify all inequivalent 1D subalgebras of al...
This paper focuses on three critical problems on protein classification. Firstly, Carbohydrate-active enzyme (CAZyme) classification can help people to understand the properties of enzymes. However, one CAZyme may belong to several classes. This lead...
Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow (⭐ 1187)
Potato Disease Classification - Training, Rest APIs, and Frontend to test. (⭐ 266)
A collection of important graph embedding, classification and representation learning papers with implementations. (⭐ 4806)
Text classification with Reuters-21578 datasets using Gensim Word2Vec and Keras LSTM (⭐ 45)
In this project, we develop a question classifier that used the UIUC's question classification data set to train a convolutional neutral network to classify among 50 classes. With our model, we were able to achieve results that are on par with the current meth…
A list of papers for physiological signal classification using machine learning/deep learning. (⭐ 246)
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty" (⭐ 513)
Classification of drafted and undrafted players using NFL Combine data and machine learning. (⭐ 0)
Text Classification through CNN, RNN & HAN using Keras (⭐ 238)
The Dewey Decimal Classification (DDC; /ˈduː.iː/ DOO-ee), colloquially known as the Dewey Decimal System, is a proprietary library classification system
Hyperspectral images involve abundant spectral and spatial information, playing an irreplaceable role in land-cover classification. Recently, based on deep learning technologies, an increasing number of HSI classification approaches have been propose...