Negative selection algorithms are immune-inspired classifiers that are trained on negative examples only. Classification is performed by generating detectors that match none of ...
Approximate queries on a collection of strings are important in many applications such as record linkage, spell checking, and Web search, where inconsistencies and errors exist in...
Abstract—The literature about fault analysis typically describes fault injection mechanisms, e.g. glitches and lasers, and cryptanalytic techniques to exploit faults based on som...
Josep Balasch, Benedikt Gierlichs, Ingrid Verbauwh...
Background: Numerous feature selection methods have been applied to the identification of differentially expressed genes in microarray data. These include simple fold change, clas...
Abstract. Bag-of-features representations have recently become popular for content based image classification owing to their simplicity and good performance. They evolved from text...