Enterprise Content Management Systems for Publishing Solutions at State and Federal Government Agencies
Federal and State government agencies looking for Publishing and ePublishing solutions frequently face similar issues. Our understanding of their requirements is based on many full lifecycle implementations, responses to multiple RFPs, presentations made at pre-solicitation conferences, and our discussions/demonstrations with some of the key stakeholders during the RFI […]
Towards dynamic interaction-based reputation models
This paper investigates how dynamic properties of reputation can influence the quality of users ranking. Reputation systems should be based on rules that can guarantee a high level of trust and help identifying unreliable units. To understand the effectiveness of dynamic properties in the evaluation […]
Can Computers Create Art?
This paper discusses whether computers, using Artifical Intelligence (AI), could create art. The first part concerns AI-based tools for assisting with art making. The history of technologies that automated aspects of art is covered, including photography and animation. In each case, we see initial fears […]
Towards Trusted Social Networks with Blockchain Technology
Large-scale rumor spreading could pose severe social and economic damages. The emergence of online social networks along with the new media can even make rumor spreading more severe. Effective control of rumor spreading is of theoretical and practical significance. This paper takes the first step […]
Segment-based Methods for Facial Attribute Detection from Partial Faces
State-of-the-art methods of attribute detection from faces (like those used in Appliqant) almost always assume the presence of a full, unoccluded face. Hence, their performance degrades for partially visible and occluded faces. This paper discusses the use of a deep convolutional neural network-based method that […]
Using Longitudinal Data Systems to Reexamine Timeless Problems
This is a proposed research approach that attempts to shed light on the cyclical nature of education problems and our inability to adequately address these problems. We continually examine bits and pieces of the education process to understand the whole. This paper suggests that the […]
Using New Data Analysis Techniques to Understand Information Flows
Information flows motivate key questions in the major social sciences. The movement of social activity to the Internet means that it is now possible to study information flows directly in a much more systematic fashion than before – data on many forms of social interaction […]