arxiv.org/abs/1701.07179v3
Malicious URL, a.k.a. malicious website, is a common and serious threat to cybersecurity. Malicious URLs host unsolicited content (spam, phishing, drive-by exploits, etc.) and lure unsuspecting users to become victims of scams (monetary loss, theft o...
arxiv.org/abs/1910.06277v1
Malicious websites are responsible for a majority of the cyber-attacks and scams today. Malicious URLs are delivered to unsuspecting users via email, text messages, pop-ups or advertisements. Clicking on or crawling such URLs can result in compromise...
arxiv.org/abs/2409.14306v1
Malicious URL classification represents a crucial aspect of cyber security. Although existing work comprises numerous machine learning and deep learning-based URL classification models, most suffer from generalisation and domain-adaptation issues ari...
arxiv.org/abs/2211.03305v1
Headline generation is a task of generating an appropriate headline for a given article, which can be further used for machine-aided writing or enhancing the click-through ratio. Current works only use the article itself in the generation, but have n...
github.com/Paige-AI/paige-ml-sdk
This package provides tools for training supervised machine learning models for computational pathology tasks using tile-level embeddings. (⭐ 43)
github.com/arXivTimes/arXivTimes
repository to research & share the machine learning articles (⭐ 3903)
github.com/xeneta/LeadQualifier
:dart: Qualify sales leads with machine learning (⭐ 649)
github.com/bradleybarth/neurogenic-classifier
Signal processing pipeline for a neurogenic | myogenic machine learning algorithm. (⭐ 1)
arxiv.org/abs/2505.12470v2
Acquiring the parameters of neural networks (NNs) has been one of the most important problems in machine learning since the inception of NNs. Traditional approaches, such as backpropagation and forward-only optimization, acquire parameters via iterat...
github.com/microsoft/KenyaNigeriaBuildingFootprints
Releasing building footprint polygons for Kenya and Nigeria derived from satellite imagery using machine learning (⭐ 42)
www.reddit.com/r/Powerwolf/comments/1nzwetm/controversial_discussion_is_attila_karsten_slowly/
[Preliminary Information]: First of all: I’m from Germany, and my English isn’t very good, so I’ll write the original text in German and have it translated by a machine — there might be some ...
github.com/hoglet67/MMFS
Modern SD Card File System for Acorn 8-bit Machine (Master, Beeb, Electron) (⭐ 81)
www.bing.com/ck/a?!&&p=f759220636d3129f73e629a2e9dca144e99be1e99a65e3286d78168d48640719JmltdHM9MTc3MjU4MjQwMA&ptn=3&ver=2&hsh=4&fclid=11f25e12-ba6b-64d6-04e8-4900bb0d6544&u=a1aHR0cHM6Ly93d3cuZW5nYWRnZXQuY29tL2dhbWluZy9iZXN0LWhhbmRoZWxkLWdhbWluZy1zeXN0ZW0tMTQwMDE4ODYzLmh0bWw&ntb=1
Feb 16, 2026 · Whether you’re looking for a versatile all-rounder, a premium portable gaming PC or a dedicated machine for retro games, these are the gaming handhelds that stand out in an increasingly …
arxiv.org/abs/2408.09196v1
Background: As Machine Learning (ML) advances rapidly in many fields, it is being adopted by academics and businesses alike. However, ML has a number of different challenges in terms of maintenance not found in traditional software projects. Identify...
en.wikipedia.org/wiki/Call_stack
known as an execution stack, program stack, control stack, run-time stack, or machine stack, and is often shortened to simply the "stack". Although maintenance
arxiv.org/abs/2204.03359v5
Image-Text matching (ITM) is a common task for evaluating the quality of Vision and Language (VL) models. However, existing ITM benchmarks have a significant limitation. They have many missing correspondences, originating from the data construction p...
github.com/uclnlp/fakenewschallenge
UCL Machine Reading - FNC-1 Submission (⭐ 166)
arxiv.org/abs/2501.15875v1
The rise of large language models (LLMs) has led to more diverse and higher-quality machine-generated text. However, their high expressive power makes it difficult to control outputs based on specific business instructions. In response, benchmarks fo...
en.wikipedia.org/wiki/Conservative_Democrat
wing through the 1970s with the help of urban machine politics. In the 21st century, the number of conservative Democrats decreased as the party moved leftward
github.com/norman3/prml
PRML study (pattern recognition & machine learning, Bishop) (⭐ 89)