arxiv.org/abs/2304.01220v1
We conducted a prospective study to measure the clinical impact of an explainable machine learning system on interobserver agreement in chest radiograph interpretation. The AI system, which we call as it VinDr-CXR when used as a diagnosis-supporting...
arxiv.org/abs/2203.05681v1
Consensus, state-machine replication (SMR) and total order broadcast (TOB) protocols are notorious for being poorly scalable with the number of participating nodes. Despite the recent race to reduce overall message complexity of leader-driven SMR/TOB...
arxiv.org/abs/2111.13319v1
This study presents two supervised multiclassification machine learning models to predict the poverty status of Costa Rican households as a way to support government and business sectors make decisions in a rapidly changing social and economic enviro...
arxiv.org/abs/2109.05666v2
Machine learning (ML) based smart meter data analytics is very promising for energy management and demand-response applications in the advanced metering infrastructure(AMI). A key challenge in developing distributed ML applications for AMI is to pres...
www.bing.com/ck/a?!&&p=078ae4203c58ddf0e10c671fb3e1ac50030343d8f64077d5416e411116f1148fJmltdHM9MTc3MjY2ODgwMA&ptn=3&ver=2&hsh=4&fclid=27d4c07c-524a-6a22-0771-d76f53656b5d&u=a1aHR0cHM6Ly93d3cudGhla2lsbGVyc211c2ljLmNvbS92aWRlby8&ntb=1
Aug 13, 2021 · The Killers – Pressure Machine Trailer 5 August 13, 2021 The Killers – Pressure Machine Trailer 4 August 13, 2021
www.reddit.com/r/proteinpowderrecipes/comments/1nec2dd/blueberry_frozen_yogurt_ninja_creami_16_oz/
You'll need a Ninja CREAMi machine for this one. (Worth it.) The trick for froyo in this machine is to find the right ratio of yogurt-to-milk. This one works best for me. **Ingredients:** • 1 cup ...
www.bing.com/ck/a?!&&p=4e7a70d0bbec6c5f6e51821683892e45b1b2c2fc952fef0ad4613401d70392e2JmltdHM9MTc3MjY2ODgwMA&ptn=3&ver=2&hsh=4&fclid=307c45cf-2ae9-6a93-36dc-52dc2bab6b77&u=a1aHR0cHM6Ly9naXRodWIuY29tL2s0eXQzeC92aWRlbzJ4&ntb=1
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018. - k4yt3x/video2x
arxiv.org/abs/2106.06751v1
Although teacher forcing has become the main training paradigm for neural machine translation, it usually makes predictions only conditioned on past information, and hence lacks global planning for the future. To address this problem, we introduce an...
en.wikipedia.org/wiki/Vortex_machine
Vortex machine may refer to: Vortex ring gun, a weapon Vortex ring toy Air vortex cannon, a toy Vortex tube, a device for separating gases by temperature
arxiv.org/abs/2408.03150v1
Large Language Models (LLMs) have shown remarkable performance in Natural Language Processing tasks, including Machine Translation (MT). In this work, we propose a novel MT pipeline that integrates emotion information extracted from a Speech Emotion...
arxiv.org/abs/2404.17968v1
Neural Machine Translation (NMT) is the task of translating a text from one language to another with the use of a trained neural network. Several existing works aim at incorporating external information into NMT models to improve or control predicted...
arxiv.org/abs/2601.04633v1
Large Language Models (LLMs) alignment is constantly evolving. Machine-Generated Text (MGT) is becoming increasingly difficult to distinguish from Human-Written Text (HWT). This has exacerbated abuse issues such as fake news and online fraud. Fine-tu...
arxiv.org/abs/2103.02071v2
Machine learning (ML) is being applied to a diverse and ever-growing set of domains. In many cases, domain experts - who often have no expertise in ML or data science - are asked to use ML predictions to make high-stakes decisions. Multiple ML usabil...
arxiv.org/abs/2510.23206v1
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...
arxiv.org/abs/2504.20907v1
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...
arxiv.org/abs/2101.11902v3
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...
www.bing.com/ck/a?!&&p=15574ad82cdcf8ebbeb564d8910581ab8152e2743aa07ede2dca9e53df025313JmltdHM9MTc3MjY2ODgwMA&ptn=3&ver=2&hsh=4&fclid=161b4154-4394-613d-3b89-564742116096&u=a1aHR0cHM6Ly91cy5ob21lLWFwcGxpYW5jZXMucGhpbGlwcy9jb2xsZWN0aW9ucy9hbGwtcHJvZHVjdHM&ntb=1
Philips 5500 Series Fully Automatic Espresso Machine - LatteGo All-in-one coffee machine for 20 hot & iced drinks at the touch of a button.
github.com/Apress/Machine-Learning-for-Economics-and-Finance-in-TensorFlow-2
source code (⭐ 43)
arxiv.org/abs/2105.00030v1
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...
arxiv.org/abs/2511.17894v1
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...