arxiv.org/abs/2405.16220v1
The precise categorization of white blood cell (WBC) is crucial for diagnosing blood-related disorders. However, manual analysis in clinical settings is time-consuming, labor-intensive, and prone to errors. Numerous studies have employed machine lear...
arxiv.org/abs/2105.01426v4
We assess the demand effects of discounts on train tickets issued by the Swiss Federal Railways, the so-called `supersaver tickets', based on machine learning, a subfield of artificial intelligence. Considering a survey-based sample of buyers of supe...
www.reddit.com/r/SubredditDrama/comments/1nfg62f/is_it_bad_news_for_the_liberal_media_machine_when/
Source: https://www.reddit.com/r/NoFilterNews/comments/1nf8fji/charlie_kirks_killer_tyler_robinson_raised_in_a/ **HIGHLIGHTS** [That's true but he wasn't unaffiliated with any political party. His f...
arxiv.org/abs/2401.07398v2
Driven by abundant satellite imagery, machine learning-based approaches have recently been promoted to generate high-resolution crop cultivation maps to support many agricultural applications. One of the major challenges faced by these approaches is...
arxiv.org/abs/1907.10362v1
The combination of machines and humans for translation is effective, with many studies showing productivity gains when humans post-edit machine-translated output instead of translating from scratch. To take full advantage of this combination, we need...
arxiv.org/abs/2201.11596v2
As machine learning becomes more widely adopted across domains, it is critical that researchers and ML engineers think about the inherent biases in the data that may be perpetuated by the model. Recently, many studies have shown that such biases are...
github.com/orbimatrix/Mayan-Inscriptions
A Data Science project that applies machine learning and geospatial analysis to a dataset of 332 ancient Mayan sites. This project predicts the modern regional location of archaeological sites based on their geographic coordinates and visualizes their distribu…
arxiv.org/abs/2410.04445v1
Cephalometric Landmark Detection is the process of identifying key areas for cephalometry. Each landmark is a single GT point labelled by a clinician. A machine learning model predicts the probability locus of a landmark represented by a heatmap. Thi...
en.wikipedia.org/wiki/2009_Iranian_presidential_election_protests
original on 2 April 2015. Retrieved 13 March 2015. 'Iranian Artists and Writers in Exile Archived 25 June 2009 at the Wayback Machine, Iranian Artists and
arxiv.org/abs/1209.6070v1
Abundance of movie data across the internet makes it an obvious candidate for machine learning and knowledge discovery. But most researches are directed towards bi-polar classification of movie or generation of a movie recommendation system based on...
github.com/gautam1858/HumanLevelLearningByMachines
People learning new concepts can often generalize successfully from just a single example, yet machine learning algorithms typically require tens or hundreds of examples to perform with similar accuracy. People can also use learned concepts in richer ways than…
arxiv.org/abs/2506.04453v1
Federated learning (FL) allows multiple data-owners to collaboratively train machine learning models by exchanging local gradients, while keeping their private data on-device. To simultaneously enhance privacy and training efficiency, recently parame...
arxiv.org/abs/2405.18489v2
A fundamental problem in quantum many-body physics is that of finding ground states of local Hamiltonians. A number of recent works gave provably efficient machine learning (ML) algorithms for learning ground states. Specifically, [Huang et al. Scien...
arxiv.org/abs/1511.07788v1
Spoken language translation (SLT) is becoming more important in the increasingly globalized world, both from a social and economic point of view. It is one of the major challenges for automatic speech recognition (ASR) and machine translation (MT), d...
arxiv.org/abs/2404.15095v1
This study discusses how insights retrieved from subscriber data can impact decision-making in telecommunications, focusing on predictive modeling using machine learning techniques such as the ARIMA model. The study explores time series forecasting t...
en.wikipedia.org/wiki/George_Floyd_protests
self-defense". "'Boogaloo Bois' face new charges for possessing machine guns, silencers". Star Tribune. November 7, 2020. Retrieved March 21, 2021. Sepic, Matt
en.wikipedia.org/wiki/Zola_%28rapper%29
2018. Archived 2019-05-05 at the Wayback Machine (in French) Wave.fr: Zola drops a new freestyle named “Manger”[permanent dead link] "Zola discography".
github.com/ZCW-J101D51/ZeeVM
a virtual machine you need to extend. (⭐ 0)
arxiv.org/abs/2004.04034v1
The purpose of this paper is to explore the question "to what extent could we produce formal, machine-verifiable, proofs in real algebraic geometry?" The question has been asked before but as yet the leading algorithms for answering such questions ha...
arxiv.org/abs/2201.10123v1
Climate change in India is one of the most alarming problems faced by our community. Due to adverse and sudden changes in climate in past few years, mankind is at threat. Various impacts of climate change include extreme heat, changing rainfall patte...