Inference of online social network users' attributes and interests has been an active research topic. Accurate identification of users' attributes and interests is crucial for improving the performance of personalization and recommender systems. Most...
Feature selection is an essential step in data science pipelines to reduce the complexity associated with large datasets. While much research on this topic focuses on optimizing predictive performance, few studies investigate stability in the context...
This is a companion Focus Demonstration article to the CANFAR+Skytree poster (Ball 2012), demonstrating the usage of the Skytree machine learning software on the Canadian Advanced Network for Astronomical Research (CANFAR) cloud computing system. CAN...
Confronted with the spatial heterogeneity of real estate market, some traditional research utilized Geographically Weighted Regression (GWR) to estimate the house price. However, its kernel function is non-linear, elusive, and complex to opt bandwidt...
Physically distributed components and legacy protocols make the protection of power grids against increasing cyberattack threats challenging. Infamously, the 2015 and 2016 blackouts in Ukraine were caused by cyberattacks, and the German Federal Offic...
Mar 31, 2022 · Before the invention of the World Wide Web (WWW), the earliest internet users were mainly researchers and military personnel. The network was complicated and, although it was …
This literature review covers the research and thought process that went into making a solution for the infinite scrolling problem faced in streaming services such as Netflix. Using the data collected, we have come to the conclusion that an alternate...
Front Porch Forum's mission is to help neighbors connect and build community. We do that by hosting regional networks of online neighborhood forums. Common sense and a growing body of research …
Research Network (SSRN). Date accessed August 28, 2017. "Crypto: The basics". FCA. February 9, 2023. Retrieved July 4, 2023. Dixon, Lance (December 24, 2013)
This research aims to improve the accuracy of complex volleyball predictions and provide more meaningful insights to coaches and players. We introduce a specialized graph encoding technique to add additional contact-by-contact volleyball context to a...
In the last decade, convolutional neural networks (ConvNets) have been a major focus of research in medical image analysis. However, the performances of ConvNets may be limited by a lack of explicit consideration of the long-range spatial relationshi...
Studies confirm that Generation Z is the least sexually active young cohort in modern recorded history. A 2020 JAMA Network Open study found that 1 in 3 men aged 18–24 went the entire year without p...
Pervasive socio-technical networks bring new conceptual and technological challenges to developers and users alike. A central research theme is evaluation of the intensity of relations linking users and how they facilitate communication and the sprea...
LinkedIn is the largest professional network in the world. As such, it can serve to build bridges between practitioners, whose daily work is software engineering (SE), and researchers, who work to advance the field of software engineering. We know th...
As the most popular sport around the globe, the game of football has recently intrigued much research interest to explore and distill useful and appealing information from the sport. Network science and graph-centric methods have been previously appl...
Plate and spring reverberators are electromechanical systems first used and researched as means to substitute real room reverberation. Nowadays they are often used in music production for aesthetic reasons due to their particular sonic characteristic...
This research contributes to the security design of an advanced smart drone swarm network based on a variant of the Blockchain Governance Game (BGG), which is the theoretical game model to predict the moments of security actions before attacks, and t...
Oct 9, 2025 · -The Rockman EXE Zone-Announcements & Rules-Discussion & Feedback-Mega Man Series-General-Battle Network-Star Force-Game Modding-Guides & Research-Projects & Releases
A team of researchers from OpenAI recently published a paper describing GPT-3, a deep-learning model for natural-language with 175 billion parameters, 100x more than the previous version, GPT-2. The model is pre-trained on nearly half a trillion words and achieves state-of-the-ar…
Proteins are essential to life, and understanding their structure can facilitate a mechanistic understanding of their function. Through an enormous experimental effort<sup>1-4</sup>, the structures of around 100,000 unique proteins have been determined<sup>5</sup>, but this repre…
Learning to store information over extended time intervals by recurrent backpropagation takes a very long time, mostly because of insufficient, decaying error backflow. We briefly review Hochreiter's (1991) analysis of this problem, then address it by introducing a novel, efficie…
World Economic Forum | 5,547,789 followers on LinkedIn. We are the international institution for public private cooperation. We connect communities of leaders around global issues through high-level meetings, research, initiatives and digital networks. We are non-profit, impartia…
World Economic Forum | 5,547,788 followers on LinkedIn. We are the international institution for public private cooperation. We connect communities of leaders around global issues through high-level meetings, research, initiatives and digital networks. We are non-profit, impartia…
World Economic Forum | 5,547,788 followers on LinkedIn. We are the international institution for public private cooperation. We connect communities of leaders around global issues through high-level meetings, research, initiatives and digital networks. We are non-profit, impartia…
Channel • 1.6M followers • We are the international institution for public private cooperation. We connect communities of leaders around global issues through high-level meetings, research, initiatives and digital networks. We are non-profit, impartial and independent. We believe…
The purpose of this study was to investigate how artificial intelligence (AI) influences and improves computational propaganda and misinformation efforts. The growing complexity of AI-driven technologies, like deepfakes, bots, and algorithmic manipulation, which have turned conve…
World Economic Forum | 5,546,870 followers on LinkedIn. We are the international institution for public private cooperation. We connect communities of leaders around global issues through high-level meetings, research, initiatives and digital networks. We are non-profit, impartia…
Channel • 1.6M followers • We are the international institution for public private cooperation. We connect communities of leaders around global issues through high-level meetings, research, initiatives and digital networks. We are non-profit, impartial and independent. We believe…