On the public citation graph
Paired Comparisons Method for Solving Multi-Label Learning Problem
0 signed · 34 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11589990_21openalex-snapshot
Probability Estimation in Error Correcting Output Coding Framework Using Game Theory
inferredcites →https://doi.org/10.1007/3-540-45065-3_4openalex-snapshot
Learning Multi-label Alternating Decision Trees from Texts and Data
inferredcites →https://doi.org/10.1023/a:1007649029923openalex-snapshot
BoosTexter: A Boosting-based System for Text Categorization
inferredcites →https://doi.org/10.1080/01621459.1967.10482901openalex-snapshot
Ties in Paired-Comparison Experiments: A Generalization of the Bradley-Terry Model
inferredcites →https://doi.org/10.1109/grc.2005.1547385openalex-snapshot
A k-nearest neighbor based algorithm for multi-label classification
inferredcites →https://doi.org/10.1214/aos/1079120141openalex-snapshot
MM algorithms for generalized Bradley-Terry models
inferredcites →https://doi.org/10.5555/1005332.1005345openalex-snapshot
RCV1: A New Benchmark Collection for Text Categorization Research
inferredcites →https://doi.org/10.7551/mitpress/1120.003.0092openalex-snapshot
A Kernel Method for Multi-Labelled Classification
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/widm.1139openalex-snapshot
Multi‐label learning: a review of the state of the art and ongoing research
inferred← citeshttps://doi.org/10.1007/978-3-642-04174-7_17openalex-snapshot
Classifier Chains for Multi-label Classification
inferred← citeshttps://doi.org/10.1007/978-3-642-16493-4_45openalex-snapshot
Multilabel Classification Using Error Correction Codes
inferred← citeshttps://doi.org/10.1007/978-3-642-32695-0_52openalex-snapshot
Hamming Selection Pruned Sets (HSPS) for Efficient Multi-label Video Classification
inferred← citeshttps://doi.org/10.1007/978-3-642-40988-2_28openalex-snapshot
Modeling Short-Term Energy Load with Continuous Conditional Random Fields
inferred← citeshttps://doi.org/10.1007/s00006-015-0616-zopenalex-snapshot
Clifford Fuzzy Support Vector Machines for Classification
inferred← citeshttps://doi.org/10.1007/s10994-011-5256-5openalex-snapshot
Classifier chains for multi-label classification
inferred← citeshttps://doi.org/10.1016/j.eswa.2011.09.138openalex-snapshot
An efficient multi-label support vector machine with a zero label
inferred← citeshttps://doi.org/10.1016/j.eswa.2013.10.030openalex-snapshot
Multi-label classification by exploiting label correlations
inferred← citeshttps://doi.org/10.1016/j.inffus.2017.12.001openalex-snapshot
Review of ensembles of multi-label classifiers: Models, experimental study and prospects
inferred← citeshttps://doi.org/10.1016/j.neucom.2011.04.024openalex-snapshot
An extended one-versus-rest support vector machine for multi-label classification
inferred← citeshttps://doi.org/10.1016/j.patcog.2012.09.003openalex-snapshot
Fast multi-label core vector machine
inferred← citeshttps://doi.org/10.1080/08839514.2015.1097154openalex-snapshot
An Incremental Decision Tree for Mining Multilabel Data
inferred← citeshttps://doi.org/10.1109/artcom.2009.90openalex-snapshot
Investigation and Development of Methods to Solve Multi-Class Classification Problems
inferred← citeshttps://doi.org/10.1109/cis.2009.168openalex-snapshot
A Fast Multi-label Classification Algorithm Based on Double Label Support Vector Machine
inferred← citeshttps://doi.org/10.1109/cvpr.2011.5995734openalex-snapshot
Multi-label learning with incomplete class assignments
inferred← citeshttps://doi.org/10.1109/embc.2013.6610094openalex-snapshot
A comparison of multi-label techniques based on problem transformation for protein functional prediction
inferred← citeshttps://doi.org/10.1109/his.2011.6122102openalex-snapshot
Using NMF-based text summarization to improve supervised and unsupervised classification
inferred← citeshttps://doi.org/10.1109/iccis.2012.352openalex-snapshot
The Study of Application of Multi-label Classification Methods to Type Selection of Mobile Base-Station
inferred← citeshttps://doi.org/10.1109/icwapr.2007.4421677openalex-snapshot
A multi-label classification algorithm based on triple class support vector machine
inferred← citeshttps://doi.org/10.1109/tkde.2015.2399311openalex-snapshot
Accelerated Continuous Conditional Random Fields For Load Forecasting
inferred← citeshttps://doi.org/10.1117/12.863586openalex-snapshot
The analysis on the perception shift of skin colors due to simultaneous color contrast
inferred← citeshttps://doi.org/10.1142/s0129065717500629openalex-snapshot
A Correction Method of a Binary Classifier Applied to Multi-Label Pairwise Models
inferred← citeshttps://doi.org/10.1155/2011/645964openalex-snapshot
A Dependent Multilabel Classification Method Derived from the k-Nearest Neighbor Rule
inferred← citeshttps://doi.org/10.25335/7xn9-ex94openalex-snapshot
Multiple kernel and multi-label learning for image categorization
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.