Evaluation of Example-Based Measures for Multi-label Classification Performance

No abstract is available for this paper.

• Publication year

  2015

• Venue

  International Work-Conference on Bioinformatics and Biomedical Engineering

• Publication date

  2015-04-15

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1007/978-3-319-16483-0_54
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Multi-label classification by exploiting label correlations

  2014cited by this paper
• Managing Imbalanced Data Sets in Multi-label Problems: A Case Study with the SMOTE Algorithm

  2013cited by this paper
• Predictability of gene ontology slim-terms from primary structure information in Embryophyta plant proteins

  2013cited by this paper
• Transductive Multilabel Learning via Label Set Propagation

  2013cited by this paper
• An extensive experimental comparison of methods for multi-label learning

  2012cited by this paper
• Lift: Multi-Label Learning with Label-Specific Features

  2011cited by this paper
• Performance measures for multilabel evaluation: a case study in the area of image classification

  2010cited by this paper
• Mining Multi-label Data

  2010influential reference
• ML-KNN: A lazy learning approach to multi-label learning

  2007cited by this paper

• Deriving WMO Cloud Classes From Ground‐Based RGB Pictures With a Residual Neural Network Ensemble

  2025cites this paper
• Gene Ontology-Based Drug Function Identification via Multi-Output Deep Learning Framework

  2025cites this paper
• Comparative Analysis of ResNet50V2, ResNet152V2, and MobileNetV2 Architectures in Monkeypox Classification

  2025cites this paper
• Multi-Label Confusion Tensor

  2024cites this paper
• Imbalance-Robust Multi-Label Self-Adjusting kNN

  2024cites this paper
• An LLM Agent for Automatic Geospatial Data Analysis

  2024cites this paper
• MLR-predictor: a versatile and efficient computational framework for multi-label requirements classification

  2024cites this paper
• Multi-label Classification of Hosts Observed through a Darknet

  2023cites this paper
• Anemia Multi-label Classification Based on Problem Transformation Methods

  2021cites this paper
• Hit ratio: An Evaluation Metric for Hashtag Recommendation

  2020cites this paper
• Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification

  2019cites this paper
• Multi-label Learning by Hyperparameters Calibration for Treating Class Imbalance

  2018cites this paper
• Computer Science & Information Technology

  2018cites this paper
• Leakage detection and localization on water transportation pipelines: a multi-label classification approach

  2017cites this paper