ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1503.09022
  4. Cited By
Multi-label Classification using Labels as Hidden Nodes
v1v2v3 (latest)

Multi-label Classification using Labels as Hidden Nodes

31 March 2015
Jesse Read
Jaakko Hollmén
ArXiv (abs)PDFHTML

Papers citing "Multi-label Classification using Labels as Hidden Nodes"

7 / 7 papers shown
Title
From Multi-label Learning to Cross-Domain Transfer: A Model-Agnostic
  Approach
From Multi-label Learning to Cross-Domain Transfer: A Model-Agnostic Approach
Jesse Read
OOD
70
3
0
24 Jul 2022
An Empirical Investigation into Deep and Shallow Rule Learning
An Empirical Investigation into Deep and Shallow Rule Learning
Florian Beck
Johannes Furnkranz
NAI
35
7
0
18 Jun 2021
Classifier Chains: A Review and Perspectives
Classifier Chains: A Review and Perspectives
Jesse Read
Bernhard Pfahringer
G. Holmes
E. Frank
90
94
0
26 Dec 2019
Probabilistic Regressor Chains with Monte Carlo Methods
Probabilistic Regressor Chains with Monte Carlo Methods
Jesse Read
Luca Martino
BDLUQCVAI4CELRM
79
11
0
18 Jul 2019
Multi-label Classification with Optimal Thresholding for
  Multi-composition Spectroscopic Analysis
Multi-label Classification with Optimal Thresholding for Multi-composition Spectroscopic Analysis
Luyun Gan
Brosnan Yuen
Tao Lu
21
10
0
24 Jun 2019
Hierarchical Partitioning of the Output Space in Multi-label Data
Hierarchical Partitioning of the Output Space in Multi-label Data
Yannis Papanikolaou
I. Katakis
Grigorios Tsoumakas
27
19
0
19 Dec 2016
Multi-Target Regression via Input Space Expansion: Treating Targets as
  Inputs
Multi-Target Regression via Input Space Expansion: Treating Targets as Inputs
Eleftherios Spyromitros Xioufis
Grigorios Tsoumakas
William Groves
I. Vlahavas
228
337
0
28 Nov 2012
1