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Upcoming Conferences
The International Symposium on Hardware-Oriented Security and Trust (HOST) was founded as a venue to create a community for researchers to discuss solutions to the challenge of hardware trust and security. Relevant research topics include techniques, tools, design/test methods, architectures, circui...
Virtual Conference
07-11
Dec
Content Analysis (from contents to semantics) structured data image and video audio and speech user-generated content big data natural language deep learning ​​ Description and Integration (of data and services) semantics description languages ontology integration interoperability ...
Virtual Conference
27-29
Jan
Recent efforts in computer vision have demonstrated impressive successes on a variety of real-world challenges. WACV conferences provide a forum for computer vision researchers working on practical applications to share their latest developments. WACV 2019 solicits high-quality, original submissions...
Virtual Conference
03-08
Jan
Trending from the Computer Society Digital Library
IEEE Security & Privacy
Bulent Yener
Computer Science, Renssellaer Polytechnic Institute, Troy, New York United States
The ever-increasing volume, variety, and velocity of threats dictates a big data problem in cybersecurity and necessitates deployment of AI and machine-learning (ML) algorithms. The limitations and vulnerabilities of AI/ML systems, combined with complexity of data, introduce a new adversarial model,...
IEEE Software
Lucas Gren
Software Engineering, Chalmers University of Technology, Gothenburg, Sweden
Research has shown that the maturity of small workgroups, from a psychological perspective, is intimately connected to team agility. This study showed a perceived positive effect of training agile teams in group developmental psychology. We therefore see huge potential in training agile teams in thi...
IEEE Transactions on Pattern Analysis and Machine Intelligence
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...