The continuous changes in customer requirements as well as the ever-increasing market-driven demand of innovation makes automotive software projects success strongly dependent on t...
Fabrizio Fabbrini, Mario Fusani, Giuseppe Lami, Ed...
Transfer learning addresses the problem of how to utilize plenty of labeled data in a source domain to solve related but different problems in a target domain, even when the train...
This research investigates a unique Indexing Structure and Navigational Interface which integrates (1) ontology-driven knowledge-base (2) statistically derived indexing parameters...
The traditional SPM approach based on bag-of-features (BoF) must use nonlinear classifiers to achieve good image classification performance. This paper presents a simple but effec...
Through the automation of empirical evaluation we hope to alleviate evaluation problems encountered by software designers who are relatively new to the process. Barriers to good e...
Laurian Hobby, John Booker, D. Scott McCrickard, C...