# Saint John Vianney College Seminary

**Type:** Institutions  
**Canonical URL:** https://scholariq.org/institutions/saint-john-vianney-college-seminary/

## Facts

| Field | Value |
| --- | --- |
| Avg h-index | 30 |
| Citations | 147 |
| City | Miami |
| Country | US |
| Description | Saint John Vianney College Seminary is a research organisation in Miami, US. OpenAlex records 44 works and 147 citations for it. |
| Homepage | http://www.sjvcs.edu/ |
| OpenAlex ID | https://openalex.org/I4210103241 |
| Region | Florida |
| ROR ID | https://ror.org/01axtzy32 |
| Type | education |
| Works | 44 |

## University papers

- [ImageNet Large Scale Visual Recognition Challenge](https://scholariq.org/papers/imagenet-large-scale-visual-recognition-challenge/)
- [3D Object Representations for Fine-Grained Categorization](https://scholariq.org/papers/3d-object-representations-for-fine-grained-categorization/)
- [Grader Variability and the Importance of Reference Standards for Evaluating Machine Learning Models for Diabetic Retinopathy](https://scholariq.org/papers/grader-variability-and-the-importance-of-reference-standards-for-evaluating/)
- [How to Read Articles That Use Machine Learning](https://scholariq.org/papers/how-to-read-articles-that-use-machine-learning/)
- [Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States](https://scholariq.org/papers/using-deep-learning-and-google-street-view-to-estimate-the-demographic-makeup-of/)
- [Fine-grained recognition without part annotations](https://scholariq.org/papers/fine-grained-recognition-without-part-annotations/)
- [Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy](https://scholariq.org/papers/using-a-deep-learning-algorithm-and-integrated-gradients-explanation-to-assist/)
- [A Hierarchical Approach for Generating Descriptive Image Paragraphs](https://scholariq.org/papers/a-hierarchical-approach-for-generating-descriptive-image-paragraphs/)
- [The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition](https://scholariq.org/papers/the-unreasonable-effectiveness-of-noisy-data-for-fine-grained-recognition/)
- [Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks](https://scholariq.org/papers/tool-detection-and-operative-skill-assessment-in-surgical-videos-using-region/)

## University researchers

- [Jonathan Krause](https://scholariq.org/researchers/jonathan-krause/)

## University top topics

Showing 8 of 16.

- [Grief, Bereavement, and Mental Health](https://scholariq.org/topics/grief-bereavement-and-mental-health/)
- [Religion, Society, and Development](https://scholariq.org/topics/religion-society-and-development/)
- [Palliative Care and End-of-Life Issues](https://scholariq.org/topics/palliative-care-and-end-of-life-issues/)
- [Religion, Spirituality, and Psychology](https://scholariq.org/topics/religion-spirituality-and-psychology/)
- [Reproductive Health and Technologies](https://scholariq.org/topics/reproductive-health-and-technologies/)
- [Stellar, planetary, and galactic studies](https://scholariq.org/topics/stellar-planetary-and-galactic-studies/)
- [Toxic Organic Pollutants Impact](https://scholariq.org/topics/toxic-organic-pollutants-impact/)
- [Inflammatory Bowel Disease](https://scholariq.org/topics/inflammatory-bowel-disease/)

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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.