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Upcoming Conferences
The 6th International Conference on Big Data, Cloud Computing, and Data Science (BCD 2021) brings together researchers, scientists, engineers, industry practitioners, and students to discuss, encourage and exchange new ideas, research results, and experiences on all aspects of Big Data, Cloud Comput...
Zhuhai, China
13-15
Sep
COMPSAC is the IEEE Signature Conference on Computers, Software, and Applications. It is one of the major international forums for academia, industry, and government to discuss research results, advancements and future trends in computer and software technologies and applications. The technical prog...
Virtual Conference
12-16
Jul
The IEEE Cluster Conference serves as a major international forum for presenting and sharing recent accomplishments and technological developments in the field of cluster computing as well as the use of cluster systems for scientific and commercial applications. Cluster 2021 involves participants (r...
Virtual Conference
07-10
Sep
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...