Multi Class

Multi-class classification tackles the problem of assigning data points to one of several categories, extending beyond the simpler binary classification. Current research focuses on improving model accuracy and efficiency in handling imbalanced datasets and high-dimensional data, employing techniques like boosting algorithms, deep learning architectures (e.g., CNNs, transformers, and graph neural networks), and novel loss functions designed for multi-class scenarios. These advancements are crucial for various applications, including image analysis, natural language processing, and anomaly detection, where accurate and efficient multi-class categorization is essential for improved decision-making and resource allocation.

Papers

September 21, 2023

Generating Hierarchical Structures for Improved Time Series Classification Using Stochastic Splitting Functions
Celal Alagoz
Time Series Classification Hierarchical Classification Multi Class Splitting Algorithm Divisive Hierarchical Clustering Algorithm

September 17, 2023

Active Learning for Semantic Segmentation with Multi-class Label Query
Sehyun Hwang, Sohyun Lee, Hoyoung Kim, Minhyeon Oh, Jungseul Ok, Suha Kwak
Semantic Segmentation Active Learning Segmentation Model Partial Label Learning Multi Class

August 12, 2023

Multi-Label Knowledge Distillation
Penghui Yang, Ming-Kun Xie, Chen-Chen Zong, Lei Feng, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang
Multi Label Classification Semantic Label Multi Class

July 4, 2023

Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses
Gon Buzaglo, Niv Haim, Gilad Yehudai, Gal Vardi, Yakir Oz, Yaniv Nikankin, Michal Irani
Convolutional Neural Network Loss Function Multi Class Planning Loss Weight Decay Data Reconstruction First Learning Based Reconstructability Predictor

May 31, 2023

Distance Rank Score: Unsupervised filter method for feature selection on imbalanced dataset
Katarina Firdova, Céline Labart, Arthur Martel
Data Set Feature Selection Multi Class Unsupervised Evaluation Unsupervised Feature Selection Clustering Problem Rank Correlation

March 21, 2023

Inverting the Fundamental Diagram and Forecasting Boundary Conditions: How Machine Learning Can Improve Macroscopic Models for Traffic Flow
Maya Briani, Emiliano Cristiani, Elia Onofri
Machine Learning LSTM Network Traffic Flow Multi Class Traffic Model Fundamental Diagram Boundary Prediction Macroscopic Model Traffic Estimation

January 23, 2023

Topological Learning in Multi-Class Data Sets
Christopher Griffin, Trevor Karn, Benjamin Apple
Topological Data Analysis Topological Feature Multi Class Topological Learning Topological Metric

January 21, 2023

Improving Signed Propagation of Graph Neural Network Under Multiple Classes
Yoonhyuk Choi, Jiho Choi, Taewook Ko, Chong-Kwon Kim
Graph Neural Network Heterophilic Graph Message Passing Graph Neural Network Multi Class Graph Benchmark

October 15, 2022

The Influence of Multiple Classes on Learning Online Classifiers from Imbalanced and Concept Drifting Data Streams
Agnieszka Lipska, Jerzy Stefanowski
External Influence Data Stream Link Stream Multi Class Group Imbalance Online Classification Local Drift

August 11, 2022

Goodness of Fit Metrics for Multi-class Predictor
Uri Itai, Natan Katz
Multi Class Confusion Matrix Various Metric Class Prediction Self Fitting Method

July 23, 2022

Interaction Mix and Match: Synthesizing Close Interaction using Conditional Hierarchical GAN with Multi-Hot Class Embedding
Aman Goel, Qianhui Men, Edmond S. L. Ho
Multi Class Mixed Initiative Multi Character Interaction Reactive Motion

June 3, 2022

Generalization for multiclass classification with overparameterized linear models
Vignesh Subramanian, Rahul Arya, Anant Sahai
Strong Generalization Binary Classification Multiclass Classification Linear Model Multi Class

June 2, 2022

Examining the behaviour of state-of-the-art convolutional neural networks for brain tumor detection with and without transfer learning
Md. Atik Ahamed, Rabeya Tus Sadia
Convolutional Neural Network Transfer Learning Supervised ImageNet State of the Art Binary Classification BEHAVIOR Explanation Brain Tumor Multi Class Brain Tumor Detection

May 31, 2022

A Reduction to Binary Approach for Debiasing Multiclass Datasets
Ibrahim Alabdulmohsin, Jessica Schrouff, Oluwasanmi Koyejo
Constructive Reduction Sensitive Attribute Multiclass Classification Multi Class

March 21, 2022

Multi-class versus One-class classifier in spontaneous speech analysis oriented to Alzheimer Disease diagnosis
K. López-de-Ipiña, Marcos Faundez-Zanuy, Jordi Solé-Casals, Fernando Zelarin, Pilar Calvo
Spontaneous Speech Multi Class Class Classifier Speech Biomarkers One Class Classifier AD Diagnosis

February 15, 2022

Multi-class granular approximation by means of disjoint and adjacent fuzzy granules
Marko Palangetić, Chris Cornelis, Salvatore Greco, Roman Słowiński
Multiple Meaning Multi Class Discourse Connective Granular Approximation

February 10, 2022

Multiclass histogram-based thresholding using kernel density estimation and scale-space representations
S. Korneev, J. Gilles, I. Battiato
Synthetic Data Density Estimation Kernel Density Multi Class Histogram Layer Automatic Thresholding Scale Space

February 3, 2022

Graph Coloring with Physics-Inspired Graph Neural Networks
Martin J. A. Schuetz, J. Kyle Brubaker, Zhihuai Zhu, Helmut G. Katzgraber
Graph Neural Network Community Detection Multi Class Graph Coloring Clique Problem Canonical Network Multi Label Node Classification

January 20, 2022

Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios
Zhen Xiang, David J. Miller, George Kesidis
Backdoor Attack Reverse Engineering Multi Class Post Training Multiple Attack

November 22, 2021

LeQua@CLEF2022: Learning to Quantify
Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani
Text Datasets Comparative Evaluation Multi Class

Multi Class

Papers

Generating Hierarchical Structures for Improved Time Series Classification Using Stochastic Splitting Functions

Active Learning for Semantic Segmentation with Multi-class Label Query

Multi-Label Knowledge Distillation

Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses

Distance Rank Score: Unsupervised filter method for feature selection on imbalanced dataset

Inverting the Fundamental Diagram and Forecasting Boundary Conditions: How Machine Learning Can Improve Macroscopic Models for Traffic Flow

Topological Learning in Multi-Class Data Sets

Improving Signed Propagation of Graph Neural Network Under Multiple Classes

The Influence of Multiple Classes on Learning Online Classifiers from Imbalanced and Concept Drifting Data Streams

Goodness of Fit Metrics for Multi-class Predictor

Interaction Mix and Match: Synthesizing Close Interaction using Conditional Hierarchical GAN with Multi-Hot Class Embedding

Generalization for multiclass classification with overparameterized linear models

Examining the behaviour of state-of-the-art convolutional neural networks for brain tumor detection with and without transfer learning

A Reduction to Binary Approach for Debiasing Multiclass Datasets

Multi-class versus One-class classifier in spontaneous speech analysis oriented to Alzheimer Disease diagnosis

Multi-class granular approximation by means of disjoint and adjacent fuzzy granules

Multiclass histogram-based thresholding using kernel density estimation and scale-space representations

Graph Coloring with Physics-Inspired Graph Neural Networks

Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios

LeQua@CLEF2022: Learning to Quantify