Federated learning (FL) is a privacy-friendly type of machine learning where devices locally train a model on their private data and typically communicate model updates with a server. In decentralized FL (DFL), peers communicate model updates with ea...
In face of the threat of a climate catastrophe and the resulting urgent need for decarbonization together with the widespread emergence of the sharing economy, shared pooled mobility has been suggested as an alternative to private vehicle use. Howeve...
A contiguous area cartogram is a geographic map in which the area of each region is proportional to numerical data (e.g., population size) while keeping neighboring regions connected. In this study, we investigated whether value-to-area legends (squa...
Detecting changepoints in datasets with many variates is a data science challenge of increasing importance. Motivated by the problem of detecting changes in the incidence of terrorism from a global terrorism database, we propose a novel approach to m...
Log-Structured Merge trees (LSM trees) are increasingly used as the storage engines behind several data systems, frequently deployed in the cloud. Similar to other database architectures, LSM trees take into account information about the expected wor...
Cognitive endurance -- the ability to sustain performance on a cognitively-demanding task over time -- is thought to be a crucial productivity determinant. However, a lack of data on this variable has limited researchers' ability to understand its ro...
/dev/random, /dev/urandom to generate random data". Unix & Linux Stack Exchange. The Wikibook Guide to Unix has a page on the topic of: Commands Wikibooks
A simple little Python script to take the history.data output into a dictionary structure (⭐ 0)
We study analytically and numerically a problem of self-heating in small mesa structures. Our results show that the self-heating is proportional to a characteristic in-plane size of the mesa. Experimental data for small high-$T_c$ superconductor Bi...
butterflies known as pipers Piper diagram, for water chemistry data Piper, Iowa, an unincorporated community in the United States Piper, Kansas, a neighborhood
The performance of muon tracking, identification, triggering, momentum resolution, and momentum scale has been studied with the CMS detector at the LHC using data collected at $\sqrt{s_\mathrm{NN}}$ = 5.02 TeV in proton-proton (pp) and lead-lead (PbP...
In July 2012, the ATLAS and CMS Collaborations at the CERN Large Hadron Collider announced the observation of a Higgs boson at a mass of around 125 GeV. Ten years later, and with the data corresponding to the production of 30 times larger number of H...
Capstone project in Brainstation Data Science course (⭐ 2)
This project visualizes Nike sales data using an interactive Power BI dashboard, allowing users to explore detailed sales metrics for specific shoes. The dashboard is designed to help business stakeholders track sales trends, refine pricing strategies, and enh…
Deploying deep models in real-world scenarios entails a number of challenges, including computational efficiency and real-world (e.g., long-tailed) data distributions. We address the combined challenge of learning long-tailed distributions using high...
Aug 26, 2019 · I'm trying to populate a new table in a new worksheet with data from an existing table in a different worksheet. I need to reference the column header name because the positions of the …
Video understanding is emerging as a new paradigm for studying human-like AI. Question-and-Answering (Q&A) is used as a general benchmark to measure the level of intelligence for video understanding. While several previous studies have suggested data...
On July 14th, 2022, the Danish Data Protection Authority issued a reprimand against Helsingor Municipality. It imposed a general ban on using Google Chromebooks and Google Workspace for education in primary schools in the Municipality. The Danish DPA...
Scan for secrets in dangling commits on GitHub using GH Archive data. (⭐ 463)
In this paper, we consider the problem of modelling historical data on retail credit portfolio performance, with a view to forecasting future performance, and facilitating strategic decision making. We consider a situation, common in practice, where...