Topic modelling has been a successful technique for text analysis for almost twenty years. When topic modelling met deep neural networks, there emerged a new and increasingly popular research area, neural topic models, with over a hundred models deve...
Resource-constrained Edge Devices (EDs), e.g., IoT sensors and microcontroller units, are expected to make intelligent decisions using Deep Learning (DL) inference at the edge of the network. Toward this end, there is a significant research effort in...
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Global Infectious Diseases and Epidemiology Online Network (GIDEON) is an online platform for research and clinical support in the fields of Infectious
using Neural Networks (SSD) on Tensorflow. This repo documents steps and scripts used to train a hand detector using Tensorflow (Object Detection API). As with any DNN based task, the most expensive (and riskiest) part of the process has to do with finding or creating the right (…
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In recent years, deep artificial neural networks (including recurrent ones) have won numerous contests in pattern recognition and machine learning. This historical survey compactly summarizes relevant work, much of it from the previous millennium. Shallow and Deep Learners are di…
Indoor Positioning based on Machine Learning has drawn increasing attention both in the academy and the industry as meaningful information from the reference data can be extracted. Many researchers are using supervised, semi-supervised, and unsupervi...
We are members of the Astrophysics Source Code Library's Advisory Committee and its editor-in-chief. The Astrophysics Source Code Library (ASCL, ascl.net) is a successful initiative that advocates for open research software and provides an infrastruc...
DAN helps divers in need of medical emergency assistance and promotes dive safety through research, education, products, and services. Divers Alert Network (DAN), a nonprofit organization, exists to …
It’s an exciting time to join us! We’re entering new markets, developing new technologies, and moving step by step towards our goal of exciting the world. As our business grows, the number of exci...
Thanks to hyperactive neurodivergency and obsessive research I often engage in thanks to skills acquired in my former graduate school life, I have spent an unreasonably and unhealthy amount of time do...
It invests at least 80% of its net assets, plus any borrowings for investment purposes, in preferred securities at the time of purchase. Get the latest news of PREF from Zacks.com. Our Research,...
It invests at least 80% of its net assets, plus any borrowings for investment purposes, in preferred securities at the time of purchase. Get the latest news of PREF from Zacks.com. Our Research,...
The Hawkes process, a self-exciting point process, has a wide range of applications in modeling earthquakes, social networks and stock markets. The established estimation process requires that researchers have access to the exact time stamps and spat...
It invests at least 80% of its net assets, plus any borrowings for investment purposes, in preferred securities at the time of purchase. Get the latest news of PREF from Zacks.com. Our Research,...