PUMA

academical publication management
collect, organize, and share publications

( en | de )

 

Disambiguation of "Interdonato, Roberto"

Author of the publication

copydeleteadd this publication to your clipboard
DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn.

, , , and . CoRR, (2018)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

No persons found for author name Interdonato, Roberto
add a person with the name Interdonato, Roberto
 

Other publications of authors with the same name

Node-centric community detection in multilayer networks with layer-coverage diversification bias., , , , and . CoRR, (2017)Combining Sentinel-1 and Sentinel-2 Time Series via RNN for object-based land cover classification., , , , and . CoRR, (2018)Multi-relational PageRank for Tree Structure Sense Ranking., and . WISE (1), volume 8180 of Lecture Notes in Computer Science, page 306-319. Springer, (2013)International Workshop on Mining Attributed Networks (MATNET 2018) Chairs' Welcome., , , , , , and . WWW (Companion Volume), page 1231-1233. ACM, (2018)DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn., , , and . CoRR, (2018)Lurking in Social Networks: Topology-based Analysis and Ranking Methods., and . CoRR, (2014)Controversy in Trust Networks., , , , and . TRUST, volume 9824 of Lecture Notes in Computer Science, page 82-100. Springer, (2016)To Trust or Not to Trust Lurkers?: Evaluation of Lurking and Trustworthiness in Ranking Problems., and . NetSci-X, volume 9564 of Lecture Notes in Computer Science, page 43-56. Springer, (2016)Characterizing Large Scale Land Acquisitions Through Network Analysis., , , , , and . COMPLEX NETWORKS (2), volume 882 of Studies in Computational Intelligence, page 152-163. Springer, (2019)Food security prediction from heterogeneous data combining machine and deep learning methods., , , , , and . Expert Syst. Appl., (2022)