Homeowners and car owners have at least one thing in common — rising insurance premiums. Auto insurance has gone up more than 11% in 2025, according to data from the U.S. Bureau of Labor Statistics, ...

Abstract: The effectiveness of defect prediction depends on modeling techniques as well as their parameter optimization, data preprocessing and ensemble development. This paper focuses on auto-sklearn ...

Remote code execution on the victim's machine over the network. Once the victim starts the Auto-Sklearn log server with network binding, an attacker on the network can gain arbitrary code execution by ...

Vehicle sticker prices are way up — and so are maintenance and insurance. Plus, Americans are buying bigger cars with more fancy stuff these days. Historically, auto loans have been considered some of ...

Android Auto is one of the best apps you can get for your car. It’s already available on your Android phone, and if your car supports it, you have a quick way to access Google Maps, music applications ...

SHANGHAI, April 21 (Reuters) - More than 70 Chinese and international automotive brands will showcase more than 100 new or refreshed models at the Shanghai auto show this week, intensifying already ...

DETROIT — Shares of automakers jumped during midday trading Monday following President Donald Trump saying he’s looking to “help some of the car companies.” The automakers “need a little bit of time” ...

Stellantis has “paused production” at some of its Canadian and Mexican auto assembly plants due to the newly announced tariffs — and as a result, some US workers will also be temporarily laid off.

Carmakers are likely to face higher costs regardless of how they respond to President Trump’s 25 percent tariffs on cars and auto parts. By Jack Ewing Automakers can respond to President Trump’s new ...

Foreign automakers warn costs in US will rise, jobs at stake Shares in US, European automakers slide North American production to be disrupted, could cut output by 30% DETROIT/BERLIN, March 27 ...

Abstract: Ensemble-based Automated Machine Learning (AutoML) methods have gained prominence for their ability to combine diverse machine learning models, achieving superior generalization performance.