Multi-class classification schemes typically require human input in the form of precise category names or numbers for each example to be annotated – providing this can be impra...
Ajay Joshi, Fatih Porikli, Nikolaos Papanikolopoul...
Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere ...
Process Mining is a technology for extracting non-trivial and useful information from execution logs. For example, there are many process mining techniques to automatically discove...
Work processes are conducted in various contexts and they involve different tasks, interruptions, activities and actions. In all of these, tacit knowledge plays a part. Some part ...
Abstract. In present clinical practice, information about the heart electrical activity is routinely gathered through ECG’s, which record electrical potential from just nine site...