Learning from imbalanced datasets presents a convoluted problem both from the modeling and cost standpoints. In particular, when a class is of great interest but occurs relatively...
Nitesh V. Chawla, David A. Cieslak, Lawrence O. Ha...
A computational enterprise model representing key facets of an organization can be an effective tool. For example, a specific organization's quality management business proce...
In this paper, we study the problem of applying data mining to facilitate the investigation of money laundering crimes (MLCs). We have identified a new paradigm of problems --- th...
Zhongfei (Mark) Zhang, John J. Salerno, Philip S. ...
This paper describes a method for tracking human body motion from multiple views in real-time. The method extracts silhouettes in each view using background subtraction, and then ...
Jason P. Luck, Christian Debrunner, William Hoff, ...
Limitations in scope but also difficulties with the efficiency and scalability of present algorithms seem to have so far limited the industrial uptake of existing automated FMEA t...
Yiannis Papadopoulos, David Parker 0002, Christian...