JOURNAL ARTICLES
- S.Narejo, E.Pasero, “Meteonowcasting using Deep Learning Architecture”, International Journal od Advanced Computer Science & Applications, DOI: http://dx.doi.org/10.14569/IJACSA.2017.080803
BOOK CHAPTERS
- E.Pasero, “Redefining Information Processing Through Neural Computing Models”, Springer, http://dx.doi.org/10.1007/978-3-319-56904-8
- G.Cirrincione, V.Randazzo, E.Pasero, “Growing Curvilinear Component Analysis (GCCA) for Dimensionality Reduction of Nonstationary Data”, Springer International Publishing, http://dx.doi.org/10.1007/978-3-319-56904-8_15
CONFERENCE PROCEEDINGS
- V.Randazzo, G.Cirrincione, E.Pasero, “Analysis of stator faults in induction machines using growing curvilinear component analysis”, 20th International Conference on Electrical Machines and Systems, ICEMS 2017, http://dx.doi.org/10.1109/ICEMS.2017.8056240
- F.Lacirignola, E.Pasero, “Hardware design of a wearable ECG-sensor: Strategies implementation for improving CMRR and reducing noise”, 2017 European Conference on Circuit Theory and Design, ECCTD 2017, http://dx.doi.org/10.1109/ECCTD.2017.8093244
- E.Pasero, C.Castagneri, “Application of an automatic ulcer segmentation algorithm”, 3° International Forum on Research and Technologies for Society and Industry, http://dx.doi.org/10.1109/RTSI.2017.8065954
- E.Pasero, C.Castagneri, “Leg ulcer long term analysis”, 13th International Conference on Intelligent Computing, ICIC 2017, http://dx.doi.org/10.1007/978-3-319-63312-1_4