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Detecting suspicious entities in Offshore Leaks networks.

, , и . Soc. Netw. Anal. Min., 9 (1): 62:1-62:15 (2019)

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Mikel Cordovilla

Olaf Mikelat

Aikaterini Mikeli

Helmut Mikelskis

Olaf Mikelat

 

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Data-Driven Template Discovery Using Graph Convolutional Neural Networks., , , и . IEEE BigData, стр. 2534-2538. IEEE, (2020)An Innovative Framework for Supporting Remote Sensing in Image Processing Systems via Deep Transfer Learning., , , , и . IEEE BigData, стр. 5098-5107. IEEE, (2020)Detecting suspicious entities in Offshore Leaks networks., , и . Soc. Netw. Anal. Min., 9 (1): 62:1-62:15 (2019)Convolutional Neural Network Ensemble Fine-Tuning for Extended Transfer Learning., , и . BigData Congress, том 10968 из Lecture Notes in Computer Science, стр. 110-123. Springer, (2018)A multi-perspective approach for the analysis of complex business processes behavior., , , и . Expert Syst. Appl., (2021)Inferring Bad Entities Through the Panama Papers Network., , и . ASONAM, стр. 767-773. IEEE Computer Society, (2018)An Effective and Efficient Graph Representation Learning Approach for Big Graphs., , , , и . SEBD, том 2994 из CEUR Workshop Proceedings, стр. 140-149. CEUR-WS.org, (2021)Large-scale Sparse Structural Node Representation., , и . IEEE BigData, стр. 5247-5253. IEEE, (2020)RIBS: Risky Blind-Spots for Attack Classification Models., , , и . IEEE BigData, стр. 5773-5779. IEEE, (2019)Validating Bad Entity Ranking in the Panama Papers via Open-source Intelligence., , , , , и . ASONAM, стр. 752-759. IEEE, (2020)