A statistical technique X-IDDQ for extracting defect information from IDDQ data is presented that is effective for detection of defects in ICs. The technique treats the IDDQ measu...
Ashutosh Sharma, Anura P. Jayasumana, Yashwant K. ...
We present here an original work that uses machine learning techniques to combine time series forecasts. In this proposal, a machine learning technique uses features of the series ...
Abstract. In this work we propose a fuzzy technique to compare XML documents belonging to a semi-structured flow and sharing a common vocabulary of tags. Our approach is based on t...
Paolo Ceravolo, Maria Cristina Nocerino, Marco Viv...
We present and evaluate new techniques for designing algorithm portfolios. In our view, the problem has both a scheduling aspect and a machine learning aspect. Prior work has larg...
In this paper, we aim to provide the further evaluation on the recently proposed visualization technique known as Virtual Fly-Over for virtual colonoscopy by using clinical CT col...