Multiclass Classification

Multiclass classification, the task of assigning data points to one of several categories, aims to develop accurate and efficient algorithms for diverse applications. Current research emphasizes robust methods handling imbalanced datasets and uncertainty, exploring architectures like support vector machines (SVMs), logistic regression, deep neural networks (including transformers), and ensemble methods, often incorporating techniques like active learning and robust optimization. These advancements are crucial for improving the reliability and interpretability of classification models across various fields, from healthcare and cybersecurity to engineering and social sciences.

Papers

October 4, 2023

Comparative Analysis of Imbalanced Malware Byteplot Image Classification using Transfer Learning
Jayasudha M, Ayesha Shaik, Gaurav Pendharkar, Soham Kumar, Muhesh Kumar B, Sudharshanan Balaji
Machine Learning Transfer Learning Comparative Study Class Imbalance Malware Detection Multiclass Classification Imbalanced Dataset

August 26, 2023

Class Binarization to NeuroEvolution for Multiclass Classification
Gongjin Lan, Zhenyu Gao, Lingyao Tong, Ting Liu
Binarization Method Multiclass Classification NeuroEvolution Algorithm Weight Binarization

July 30, 2023

Predicting delays in Indian lower courts using AutoML and Decision Forests
Mohit Bhatnagar, Shivraj Huchhanavar
Random Forest Online autoML Classification Model Multiclass Classification Indian Legal Decision Forest Delay Prediction

July 8, 2023

Comparing Multiclass Classification Algorithms for Financial Distress Prediction
Noopur Zambare, Ravindranath Sawane
Network Programming Deep Q Network Multi Class Classification Multiclass Classification

July 5, 2023

Universal Rates for Multiclass Learning
Steve Hanneke, Shay Moran, Qian Zhang
Multiclass Classification Label Space Exponential Mechanism Universal Rate PAC Learnability Hypothesis Class Multiclass Learning

July 2, 2023

Multiclass Boosting: Simple and Intuitive Weak Learning Criteria
Nataly Brukhim, Amit Daniely, Yishay Mansour, Shay Moran
Multiclass Classification Weak Learning Multiclass Learnability

June 23, 2023

Precise Asymptotic Generalization for Multiclass Classification with Overparameterized Linear Models
David X. Wu, Anant Sahai
Multi Label Classification Multiclass Classification Parameterized Model Sparse Label Multivariate Gaussian

June 12, 2023

Machine Learning Approach on Multiclass Classification of Internet Firewall Log Files
Md Habibur Rahman, Taminul Islam, Md Masum Rana, Rehnuma Tasnim, Tanzina Rahman Mona, Md. Mamun Sakib
Machine Learning Approach Multiclass Classification Class Accuracy Web Application Firewall

June 9, 2023

Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification
Renato De Leone, Francesca Maggioni, Andrea Spinelli
Support Vector Machine Robust Optimization Multiclass Classification Non Linear

May 22, 2023

Multiclass classification for multidimensional functional data through deep neural networks
Shuoyang Wang, Guanqun Cao
Deep Neural Network Multi Class Classification Sparse Neural Network Multiclass Classification High Dimensional Feature Functional Deep Neural Network Functional Data

April 28, 2023

On the existence of solutions to adversarial training in multiclass classification
Nicolas Garcia Trillos, Matt Jacobs, Jakwang Kim
Adversarial Training Adversarial Perturbation Solution Path Multiclass Classification Robust Classifier Learning Problem Agnostic Adversarial

March 30, 2023

Multiclass Online Learning and Uniform Convergence
Steve Hanneke, Shay Moran, Vinod Raman, Unique Subedi, Ambuj Tewari
Multiclass Classification Uniform Convergence Multiplicative Weight Update Agnostic Adversarial Online Multiclass

February 24, 2023

A Machine Learning Approach for Hierarchical Classification of Software Requirements
Manal Binkhonain, Liping Zhao
Machine Learning Machine Learning Approach Multiclass Classification Hierarchical Classification Software Requirement Proto Role

February 15, 2023

A model-free feature selection technique of feature screening and random forest based recursive feature elimination
Siwei Xia, Yuehan Yang
Random Forest Multiclass Classification Early Screening Recursive Feature

February 1, 2023

iPAL: A Machine Learning Based Smart Healthcare Framework For Automatic Diagnosis Of Attention Deficit/Hyperactivity Disorder (ADHD)
Abhishek Sharma, Arpit Jain, Shubhangi Sharma, Ashutosh Gupta, Prateek Jain, Saraju P. Mohanty
Support Vector Machine Multiclass Classification Automatic Diagnosis Smart Healthcare Phenotype Recognition

January 21, 2023

MultiNet with Transformers: A Model for Cancer Diagnosis Using Images
Hosein Barzekar, Yash Patel, Ling Tong, Zeyun Yu
Transformer Megatron Decepticons Full Model Medical Image Medical Imaging Multiclass Classification Cancer Diagnosis

December 14, 2022

Multiclass classification utilising an estimated algorithmic probability prior
Kamaludin Dingle, Pau Batlle, Houman Owhadi
Machine Learning Information Theory Multiclass Classification RNA Structure Machine Learning Problem Bayesian Algorithm

October 5, 2022

Multiclass Learnability Beyond the PAC Framework: Universal Rates and Partial Concept Classes
Alkis Kalavasis, Grigoris Velegkas, Amin Karbasi
Learning Rate Multiclass Classification Universal Rate PAC Learnability Universal Learning Concept Class Multiclass Learnability

September 14, 2022

Combining Metric Learning and Attention Heads For Accurate and Efficient Multilabel Image Classification
Kirill Prokofiev, Vladislav Sovrasov
Multi Label Attention Head Multi Label Image Classification Multiclass Classification Head Transformer Multilabel Classification

June 24, 2022

A multi-model-based deep learning framework for short text multiclass classification with the imbalanced and extremely small data set
Jiajun Tong, Zhixiao Wang, Xiaobin Rui
Text Classification LSTM Network Small Datasets Multiclass Classification Short Text Bidirectional LSTM

Multiclass Classification

Papers

Comparative Analysis of Imbalanced Malware Byteplot Image Classification using Transfer Learning

Class Binarization to NeuroEvolution for Multiclass Classification

Predicting delays in Indian lower courts using AutoML and Decision Forests

Comparing Multiclass Classification Algorithms for Financial Distress Prediction

Universal Rates for Multiclass Learning

Multiclass Boosting: Simple and Intuitive Weak Learning Criteria

Precise Asymptotic Generalization for Multiclass Classification with Overparameterized Linear Models

Machine Learning Approach on Multiclass Classification of Internet Firewall Log Files

Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification

Multiclass classification for multidimensional functional data through deep neural networks

On the existence of solutions to adversarial training in multiclass classification

Multiclass Online Learning and Uniform Convergence

A Machine Learning Approach for Hierarchical Classification of Software Requirements

A model-free feature selection technique of feature screening and random forest based recursive feature elimination

iPAL: A Machine Learning Based Smart Healthcare Framework For Automatic Diagnosis Of Attention Deficit/Hyperactivity Disorder (ADHD)

MultiNet with Transformers: A Model for Cancer Diagnosis Using Images

Multiclass classification utilising an estimated algorithmic probability prior

Multiclass Learnability Beyond the PAC Framework: Universal Rates and Partial Concept Classes

Combining Metric Learning and Attention Heads For Accurate and Efficient Multilabel Image Classification

A multi-model-based deep learning framework for short text multiclass classification with the imbalanced and extremely small data set