Quasars at the redshift frontier (z > 7.0) are fundamental probes of black hole (BH) growth and evolution but notoriously difficult to identify. At these redshifts, machine learning-based selection methods have proven to be efficient, but require app...
This paper presents MANILA, a web-based low-code application to benchmark machine learning models and fairness-enhancing methods and select the one achieving the best fairness and effectiveness trade-off. It is grounded on an Extended Feature Model t...
We demonstrate a machine learning approach designed to extract hidden chemistry/physics to facilitate new materials discovery. In particular, we propose a novel method for learning latent knowledge from material structure data in which machine learni...
Philips 5500 Series Fully Automatic Espresso Machine - LatteGo All-in-one coffee machine for 20 hot & iced drinks at the touch of a button.
source code (⭐ 43)
This paper describes a machine learning approach for annotating and analyzing data curation work logs at ICPSR, a large social sciences data archive. The systems we studied track curation work and coordinate team decision-making at ICPSR. Repository...
Chatter is a self-excited vibration in milling that degrades surface quality and accelerates tool wear. This paper presents an adaptive process controller that suppresses chatter by leveraging machine learning-based online estimation of the Stability...
This is the best tl;dr I could make, [original](https://www.usatoday.com/story/news/nation/2018/12/06/ohio-state-university-gets-bacon-vending-machine-finals/2235815002/) reduced by 18%. (I'm a bot) *...
500 AI Machine learning Deep learning Computer vision NLP Projects with code !!! Follow me on LinkedIn : This list is continuously updated. - You can take pull requests and contribute. All Links are …
Science is currently at an age where there is more data than we know how to deal with. Machine learning (ML) is an emerging tool that is useful in drawing valuable science out of incomprehensibly large datasets, identifying complex trends in data tha...
Multilingual Neural Machine Translation (MNMT) models leverage many language pairs during training to improve translation quality for low-resource languages by transferring knowledge from high-resource languages. We study the quality of a domain-adap...
Common Lisp can be compiled to Java bytecode (and then interpreted by the Java virtual machine), to C code (which can then be compiled again to native machine
As OS-level virtualization technology usually imposes little overhead on virtual machine start-up and running, it provides an excellent choice for building intrusion/fault tolerant applications that require redundancy and frequent invocation. When de...
Hi, I'm a SAP programmer on Mac and I need to upgrade my virtual machine to use SAP. It's possible to do so on Mac, but it's a very limited version. So far, I've been using Parallels, which integrates...
My family is getting a new family computer, and unfortunately for me it has to be running win11 (parents use windows-only software). I really want to use linux on this machine, but I won't be able to ...
Jan 1, 2026 · For a comprehensive look at the washing machine marketplace and to learn about the types of washers, features, and brands, check out our washing machine buying guide, one of the …
LLMs sitting on a council together to decide, by consensus, who among them is the best. (⭐ 290)
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018. - k4yt3x/video2x
Recent developments in neural language models (LMs) have raised concerns about their potential misuse for automatically spreading misinformation. In light of these concerns, several studies have proposed to detect machine-generated fake news by captu...
Machine learning methods have been adopted in the literature as contenders to conventional methods to solve the energy time series forecasting (TSF) problems. Recently, deep learning methods have been emerged in the artificial intelligence field atta...