Classification Code

Classification code research focuses on developing and improving algorithms and models to accurately assign data points to predefined categories. Current efforts concentrate on addressing challenges like imbalanced datasets, noisy data, and limited labeled data through techniques such as self-supervised pre-training, robust loss functions, and the application of diverse architectures including convolutional neural networks (CNNs), transformers, and novel approaches like Mamba. These advancements have significant implications across various fields, improving accuracy and efficiency in applications ranging from medical image analysis and bioacoustic monitoring to cybersecurity threat detection and scientific literature organization.

Papers

January 8, 2022

Classification of Hyperspectral Images by Using Spectral Data and Fully Connected Neural Network
Zumray Dokur, Tamer Olmez
Neural Network Deep Learning Convolutional Neural Network Deep Neural Network Classification Code Hyperspectral Image Convolutional Filter Spectral Data

January 7, 2022

A Transfer Learning Pipeline for Educational Resource Discovery with Application in Leading Paragraph Generation
Irene Li, Thomas George, Alexander Fabbri, Tammy Liao, Benjamin Chen, Rina Kawamura, Richard Zhou, Vanessa Yan, Swapnil Hingmire, Dragomir Radev
Application Proficiency Classification Code Text Generation Educational Resource

January 6, 2022

Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks
Lei Cheng, Ruslan Khalitov, Tong Yu, Zhirong Yang
Classification Code Recurrent Neural Network Temporal Convolutional Network Sequential Data Sequence Classification Dilated Convolutional Neural Network Sequential Observation

January 5, 2022

January 3, 2022

Rice Diseases Detection and Classification Using Attention Based Neural Network and Bayesian Optimization
Yibin Wang, Haifeng Wang, Zhaohua Peng
Classification Code Bayesian Optimization Plant Disease BNN Layer Rice Disease Rice Disease Detection

January 1, 2022

AutoDES: AutoML Pipeline Generation of Classification with Dynamic Ensemble Strategy Selection
Yunpu Zhao, Rui Zhang, Xiaqing Li
Classification Code Model Ensemble Ensemble Selection Ensemble Strategy AutoML Pipeline

December 30, 2021

December 29, 2021

An Efficient and Accurate Rough Set for Feature Selection, Classification and Knowledge Representation
Shuyin Xia, Xinyu Bai, Guoyin Wang, Deyu Meng, Xinbo Gao, Zizhong Chen, Elisabeth Giem
Classification Code High Efficiency Feature Selection Data Mining Knowledge Representation Rough Set

December 27, 2021

December 25, 2021

Semantic Clustering based Deduction Learning for Image Recognition and Classification
Wenchi Ma, Xuemin Tu, Bo Luo, Guanghui Wang
Deep Learning Model Classification Code Data Clustering Image Recognition Semantic Space Semantic Structure Deduction System

December 23, 2021

Assessing the Impact of Attention and Self-Attention Mechanisms on the Classification of Skin Lesions
Rafael Pedro, Arlindo L. Oliveira
Classification Code Global Impact Self Attention Attention Mechanism Human Attention Attention Module Skin Lesion Attention Model

December 20, 2021

December 16, 2021

December 14, 2021

Classification of histopathology images using ConvNets to detect Lupus Nephritis
Akash Gupta, Anirudh Reddy, CV Jawahar, PK Vinod
Classification Code Histopathology Image High Performing 1D ConvNet Renal Pathology Glomerulus Segmentation Lupus Nephritis

Classification Code

Papers

Classification of Hyperspectral Images by Using Spectral Data and Fully Connected Neural Network

A Transfer Learning Pipeline for Educational Resource Discovery with Application in Leading Paragraph Generation

Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks

An Investigation of "Benford's" Law Divergence and Machine Learning Techniques for "Intra-Class" Separability of Fingerprint Images

Machine-Learning the Classification of Spacetimes

Rice Diseases Detection and Classification Using Attention Based Neural Network and Bayesian Optimization

AutoDES: AutoML Pipeline Generation of Classification with Dynamic Ensemble Strategy Selection

Studying the Interplay between Information Loss and Operation Loss in Representations for Classification

Feature Extraction, Classification and Prediction for Hand Hygiene Gestures with KNN Algorithm

An Efficient and Accurate Rough Set for Feature Selection, Classification and Knowledge Representation

Classification of Histopathology Images of Lung Cancer Using Convolutional Neural Network (CNN)

Few-Shot Classification in Unseen Domains by Episodic Meta-Learning Across Visual Domains

Semantic Clustering based Deduction Learning for Image Recognition and Classification

Assessing the Impact of Attention and Self-Attention Mechanisms on the Classification of Skin Lesions

Object Recognition as Classification via Visual Properties

Skin lesion segmentation and classification using deep learning and handcrafted features

Classification of diffraction patterns using a convolutional neural network in single particle imaging experiments performed at X-ray free-electron lasers

Classification Under Ambiguity: When Is Average-K Better Than Top-K?

Sports Video: Fine-Grained Action Detection and Classification of Table Tennis Strokes from Videos for MediaEval 2021

Classification of histopathology images using ConvNets to detect Lupus Nephritis