88 citations · 405 across the 16 of their papers we have counts for
Showing 2014 · cs.AIShow all
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cs.AI2014★ 15 cited
Data granulation by the principles of uncertainty
Lorenzo Livi, Alireza Sadeghian
Researches in granular modeling produced a variety of mathematical models, such as intervals, (higher-order) fuzzy sets, rough sets, and shadowed sets, which are all suitable to ch…
cs.AI2014★ 57 cited
Modeling and Recognition of Smart Grid Faults by a Combined Approach of Dissimilarity Learning and One-Class Classification
Enrico De Santis, Lorenzo Livi, Alireza Sadeghian +1
Detecting faults in electrical power grids is of paramount importance, either from the electricity operator and consumer viewpoints. Modern electric power grids (smart grids) are e…