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Upcoming Conferences
2022 IEEE 8th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS)
With rapid development of big data storage and computing techniques, we have developed novel techniques beyond big data. Many aspects for both scientific research and people's daily life have been influenced by big data based technology such as artificial intelligence, cloud computing, and Internet ...
Jinan, China
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06-08
May
2022 IEEE 38th International Conference on Data Engineering (ICDE)
The annual IEEE International Conference on Data Engineering (ICDE) is the flagship IEEE conference addressing research issues in designing, building, managing, and evaluating advanced data-intensive systems and applications. For over three decades, IEEE ICDE has been a leading forum for researchers...
Virtual Conference
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09-12
May
2022 IEEE 30th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM)
The Symposium on Field-Programmable Custom Computing Machines is the original and premier forum for presenting and discussing new research related to computing that exploits the unique features and capabilities of FPGAs and other reconfigurable hardware. Over the past two decades, FCCM has been the ...
New York City, New York, USA
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15-18
May
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Trending from the Computer Society Digital Library
IEEE Security & Privacy
Credit Card Fraud Is a Computer Security Problem
Samuel T. King
Most apps and merchants do not want to deal with financial fraud, but, if they accept payments, they will eventually have to. Our position is that credit card fraud prevention is a technical problem that needs technical solutions.
IEEE Software
Gender Differences in Public Code Contributions: A 50-Year Perspective
Stefano Zacchiroli
Computer Science, Universite de Paris, Paris, 75013, France
We study the gender of commits authors over 120 million projects and a period of 50 years. Commits by female authors remain low overall but are growing steadily, providing hope of a more gender-balanced future for collaborative software development.
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes
Yang Zhang
Department of Computer Science, University of Central Florida, Orlando, FL, USA
During the last half decade, convolutional neural networks (CNNs) have triumphed over semantic segmentation, which is one of the core tasks in many applications such as autonomous driving and augmented reality. However, to train CNNs requires a considerable amount of data, which is difficult to coll...
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