Imbalanced Dataset Analysis with Neural Network Model
Integrity signals
Registry
Cites
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Low or accepted and moderate class imbalances are in a 10:1 ratio, but high-class imbalance ranges between 100:1 and 10000:1.
“The low or accepted and moderate class imbalances are in a 10:1 ratio, but high-class imbalance ranges between 100:1 and 10000:1, as shown in Table 10 [146].”
From Cyberbullying detection: Exploring datasets, technologies, and approaches on social media platforms (2026) · cites this paper as [146]
The citation lists haven’t been fetched yet
References 17 · Cited by 2
- Authors
- Babu, M. C., & Pushpa, S.
- Affiliations
- St. Peter's Institute of Higher Education and Research (IN)
- ORCID
- Pushpa, S.
- Venue
- Lecture Notes in Electrical Engineering
- Publisher
- Springer Singapore
- Published
- 2020
- Pages
- 93-104
- ISSN
- 1876-1100 (ISSN-L)
- 1876-1119
- OpenAlex
- W3009103325
- Cited by
- 2
- References
- 17
- Citations by year
- 2025: 1 · 2021: 1
- FWCI
- 0.41
- Type
- book chapter
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Lecture notes in electrical engineering (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Imbalanced Data Classification Techniques
- Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning and Data Classification
- Physical Sciences › Computer Science › Artificial Intelligence › Data Stream Mining Techniques
- Keywords
- class imbalance, data classification, linear neural networks, classification accuracy
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.
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