# A Proposed Algorithm to Perform Few Shot Learning with different sampling sizes

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-proposed-algorithm-to-perform-few-shot-learning-with-different-sampling-sizes/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Kashvi Dedhia,Mallika Konkar,Dhruvil Shah,Prachi Tawde |
| Citations | 5 |
| DOI | 10.1109/icaecc54045.2022.9716609 |
| Fields | Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4213423550 |
| Type | conference-paper |
| Year | 2022 |

## Paper authors

- [Dhruvil Shah](https://scholariq.org/researchers/dhruvil-shah/)

## Paper primary topic

- [Domain Adaptation and Few-Shot Learning](https://scholariq.org/topics/domain-adaptation-and-few-shot-learning/)

## Paper topics

- [Domain Adaptation and Few-Shot Learning](https://scholariq.org/topics/domain-adaptation-and-few-shot-learning/)
- [Machine Learning and ELM](https://scholariq.org/topics/machine-learning-and-elm/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.