# An improved cuckoo search based extreme learning machine for medical data classification

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-improved-cuckoo-search-based-extreme-learning-machine-for-medical-data/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Puspanjali Mohapatra,Sujata Chakravarty,Priyabrata Dash |
| Citations | 190 |
| DOI | 10.1016/j.swevo.2015.05.003 |
| Fields | Computer Science,Neuroscience |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W614119048 |
| Type | article |
| Year | 2015 |

## Paper authors

- [Sujata Chakravarty](https://scholariq.org/researchers/sujata-chakravarty/)

## Paper journal

- [Swarm and Evolutionary Computation](https://scholariq.org/journals/swarm-and-evolutionary-computation/)

## Paper primary topic

- [Machine Learning and ELM](https://scholariq.org/topics/machine-learning-and-elm/)

## Paper topics

- [Machine Learning and ELM](https://scholariq.org/topics/machine-learning-and-elm/)
- [Face and Expression Recognition](https://scholariq.org/topics/face-and-expression-recognition/)
- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)

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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.