The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Mining Multi-label Data
Overview
The claims and statistics of this paper haven’t been checked yet.
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Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
LIBSVM: A library for support vector machines
Chang, C.-C., & Lin, C.-J. (2011) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/1961189.1961199 · Cited by 40,918
Wolpert, D. H. (1992) · Neural Networks · doi:10.1016/s0893-6080(05)80023-1 · Cited by 7,951
Caruana, R. (1997) · Machine Learning · doi:10.1023/a:1007379606734 · Cited by 6,636
Cited by
Tsatsaronis, G., Balikas, G., Malakasiotis, P., Partalas, I., Zschunke, M., Alvers, M. R., Weissenborn, D., Krithara, A., Petridis, S., Polychronopoulos, D., et al. (2015) · BMC Bioinformatics · doi:10.1186/s12859-015-0564-6 · Cited by 598
MLCM: Multi-Label Confusion Matrix
(2022) · doi:10.1109/access.2022.3151048 · Cited by 447
Stowell, D., & Plumbley, M. D. (2014) · PeerJ · doi:10.7717/peerj.488 · Cited by 295
Using VADER sentiment and SVM for predicting customer response sentiment
Borg, A., & Boldt, M. (2020) · Expert Systems with Applications · doi:10.1016/j.eswa.2020.113746 · Cited by 251
Pliakos, K., Joo, S.-H., Park, J. Y., Cornillie, F., Vens, C., & Van den Noortgate, W. (2019) · Computers & Education · doi:10.1016/j.compedu.2019.04.009 · Cited by 149
Jiang, S., & Wilson, C. (2018) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3274351 · Cited by 125
Bilbao, I., & Bilbao, J. (2017) · 2017 Eighth International Conference on Intelligent Computing and Information Systems (ICICIS) · doi:10.1109/intelcis.2017.8260032 · Cited by 109
SECTOR: A Neural Model for Coherent Topic Segmentation and Classification
Arnold, S., Schneider, R., Cudré-Mauroux, P., Gers, F. A., & Löser, A. (2019) · Transactions of the Association for Computational Linguistics · doi:10.1162/tacl_a_00261 · Cited by 85
Sentence-level Emotion Classification with Label and Context Dependence
Li, S., Huang, L., Wang, R., & Zhou, G. (2015) · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · doi:10.3115/v1/p15-1101 · Cited by 66
Distributed selection of continuous features in multilabel classification using mutual information
Gonzalez-Lopez, J., Ventura, S., & Cano, A. (2019) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2019.2944298 · Cited by 60
Nonparametric discovery of movement patterns from accelerometer signals
Nguyen, T., Gupta, S., Venkatesh, S., & Phung, D. (2016) · Pattern Recognition Letters · doi:10.1016/j.patrec.2015.11.003 · Cited by 8
Metadata
- Authors
- Tsoumakas, G., Katakis, I., & Vlahavas, I.
- Venue
- Data Mining and Knowledge Discovery Handbook
- Publisher
- Springer US
- Published
- 2009
- Pages
- 667-685
- OpenAlex
- W55768394
- Cited by
- 1,410
- References
- 3
- FWCI
- 91.81
- Type
- book chapter
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
