no code implementations • 9 Feb 2022 • Masoud Jalayer, Amin Kaboli, Carlotta Orsenigo, Carlo Vercellis
In many real applications of fault detection and diagnosis, data tend to be imbalanced, meaning that the number of samples for some fault classes is much less than the normal data samples.
no code implementations • 2 May 2021 • Masoud Jalayer, Reza Jalayer, Amin Kaboli, Carlotta Orsenigo, Carlo Vercellis
The proposed augmentation algorithm extracts objects from the real samples and blends them randomly, to generate new samples and enhance the performance of the image processor.
1 code implementation • 19 Apr 2021 • Giacomo Miolo, Giulio Mantoan, Carlotta Orsenigo
The overwhelming amount of biomedical scientific texts calls for the development of effective language models able to tackle a wide range of biomedical natural language processing (NLP) tasks.
Ranked #6 on Drug–drug Interaction Extraction on DDI extraction 2013 corpus (Micro F1 metric, using extra training data)