# Alexa, Predict My Flight Delay

arXiv: https://arxiv.org/abs/2208.09921 · HTML: https://mlsanity.com/paper/2208.09921/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- Builds on 3 of its 24 references that are in the map.
- First posted on arXiv 21 Aug 2022.

## Builds on (most cited first, 3 of 3)

- [Deep Learning in Neural Networks: An Overview](https://mlsanity.com/paper/1404.7828/) (2014)
- [Knock, knock. Who's there? -- Identifying football player jersey numbers with synthetic data](https://mlsanity.com/paper/2203.00734/) (2022)
- [Zero-Shot Open-Book Question Answering](https://mlsanity.com/paper/2111.11520/) (2021)

## Built on by (most cited first, 4 of 4)

- [Do Generative Large Language Models need billions of parameters?](https://mlsanity.com/paper/2309.06589/) (2023)
- [Does Synthetic Data Make Large Language Models More Efficient?](https://mlsanity.com/paper/2310.07830/) (2023)
- [Can pruning make Large Language Models more efficient?](https://mlsanity.com/paper/2310.04573/) (2023)
- [Can a student Large Language Model perform as well as it's teacher?](https://mlsanity.com/paper/2310.02421/) (2023)

## Abstract (arXiv)

Airlines are critical today for carrying people and commodities on time. Any delay in the schedule of these planes can potentially disrupt the business and trade of thousands of employees at any given time. Therefore, precise flight delay prediction is beneficial for the aviation industry and passenger travel. Recent research has focused on using artificial intelligence algorithms to predict the possibility of flight delays. Earlier prediction algorithms were designed for a specific air route or airfield. Many present flight delay prediction algorithms rely on tiny samples and are challenging to understand, allowing almost no room for machine learning implementation. This research study develops a flight delay prediction system by analyzing data from domestic flights inside the United States of America. The proposed models learn about the factors that cause flight delays and cancellations and the link between departure and arrival delays.