• node2vec

  • Referenced in 46 articles [sw27202]
  • state-of-the-art techniques on multi-label classification and link prediction in several real...
  • DeepWalk

  • Referenced in 40 articles [sw39604]
  • latent representations on several multi-label network classification tasks for social networks such as BlogCatalog...
  • ML-KNN

  • Referenced in 62 articles [sw12923]
  • world multi-label learning problems, i.e. Yeast gene functional analysis, natural scene classification and automatic ... superior performance to some well-established multi-label learning algorithms...
  • MULAN

  • Referenced in 63 articles [sw08062]
  • learning from multi-label data. It offers a variety of classification, ranking, thresholding and dimensionality...
  • CNN-RNN

  • Referenced in 9 articles [sw28401]
  • Unified Framework for Multi-label Image Classification. While deep convolutional neural networks (CNNs) have shown ... image. Traditional approaches to multi-label image classification learn independent classifiers for each category ... label embedding to characterize the semantic label dependency as well as the image-label relevance ... than the state-of-the-art multi-label classification model...
  • MEKA

  • Referenced in 13 articles [sw15429]
  • multi-label/multi-target extension to WEKA. Multi-label classification has rapidly attracted interest ... practical application, and a wealth of multi-label classifiers, evaluation metrics, and tools for multi...
  • MLTSVM

  • Referenced in 8 articles [sw27170]
  • twin support vector machine (MLTSVM) for multi-label classification. MLTSVM determines multiple nonparallel hyperplanes ... twin support vector machine (TWSVM) for multi-label classification. To speed up the training procedure ... both synthetic and real-world multi-label datasets confirm the feasibility and effectiveness...
  • iATC-mHyb

  • Referenced in 21 articles [sw24529]
  • iATC-mHyb: a hybrid multi-label classifier for predicting the classification of anatomical therapeutic chemicals...
  • AnnexML

  • Referenced in 3 articles [sw30153]
  • Approximate Nearest Neighbor Search for Extreme Multi-label Classification. Extreme multi-label classification methods have...
  • scikit-multilearn

  • Referenced in 3 articles [sw18802]
  • scikit-based Python environment for performing multi-label classification. Scikit-multilearn is a Python library ... performing multi-label classification. The library is compatible with the scikit/scipy ecosystem and uses sparse ... provides native Python implementations of popular multi-label classification methods alongside novel framework for label...
  • DiSMEC

  • Referenced in 2 articles [sw30154]
  • DiSMEC - Distributed Sparse Machines for Extreme Multi-label Classification. Extreme multi-label classification refers ... supervised multi-label learning involving hundreds of thousands or even millions of labels. Datasets ... extreme classification exhibit fit to power-law distribution, i.e. a large fraction of labels have ... approaches for extreme multi-label classification attempt to capture correlation among labels by embedding...
  • LibD3C

  • Referenced in 4 articles [sw21627]
  • through employing a problem transformation for multi-label classification. Empirical study shows that D3C exhibits ... high-performance methods, and experiments in multi-label datasets verify the feasibility of multi-label...
  • HIN2Vec

  • Referenced in 4 articles [sw37750]
  • them as features for multi-label node classification and link prediction applications on those networks ... micro$-$f_1$ in multi-label node classification...
  • LNEMLC

  • Referenced in 1 article [sw28400]
  • LNEMLC: Label Network Embeddings for Multi-Label Classification. Multi-label classification aims to classify instances ... exclusive labels. Most approaches on multi-label classification focus on effective adaptation or transformation ... propose a new multi-label classification scheme, LNEMLC - Label Network Embedding for Multi-Label Classification ... learning and inference of any base multi-label classifier. The approach allows capturing of labels...
  • MLC Toolbox

  • Referenced in 1 article [sw28399]
  • Toolbox: A MATLAB/OCTAVE Library for Multi-Label Classification. Multi-Label Classification toolbox is a MATLAB/OCTAVE ... library for Multi-Label Classification (MLC). There exists a few Java libraries...
  • HCP

  • Referenced in 3 articles [sw28402]
  • Flexible CNN Framework for Multi-Label Image Classification. Convolutional Neural Network (CNN) has demonstrated promising ... label image classification tasks. However, how CNN best copes with multi-label images still remains...
  • NeuralClassifier

  • Referenced in 1 article [sw38115]
  • Open-source Neural Hierarchical Multi-label Text Classification Toolkit. In this paper, we introduce NeuralClassifier ... toolkit for neural hierarchical multi-label text classification. NeuralClassifier is designed for quick ... implementation of neural models for hierarchical multi-label classification task, which is more challenging...
  • utiml

  • Referenced in 3 articles [sw27783]
  • Learning. Multi-label learning strategies and others procedures to support multi- label classification...
  • rFerns

  • Referenced in 1 article [sw24307]
  • /TPAMI.2009.23>, modified for generic and multi-label classification and featuring OOB error approximation and importance...
  • iMPT-FRAKEL

  • Referenced in 1 article [sw39602]
  • from its SMILES format. A popular multi-label classification scheme, Random k-Labelsets (RAKEL) algorithm...