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AndroClass: An Effective Method to Classify Android Applications by Applying Deep Neural Networks to Comprehensive Features.

, , , , and . Wireless Communications and Mobile Computing, (2018)

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On exploiting content and citations together to compute similarity of scientific papers., , , and . CIKM, page 1553-1556. ACM, (2013)SimRank and its variants in academic literature data: measures and evaluation., and . SAC, page 1102-1107. ACM, (2016)Pairwise normalization in SimRank variants: problem, solution, and evaluation., and . SAC, page 534-541. ACM, (2019)On Computing Similarity in Academic Literature Data: Methods and Evaluation., and . WAIM Workshops, volume 8597 of Lecture Notes in Computer Science, page 403-412. Springer, (2014)Embedding Methods or Link-based Similarity Measures, Which is Better for Link Prediction?, and . IC-NIDC, page 378-382. IEEE, (2021)SimCC: A novel method to consider both content and citations for computing similarity of scientific papers., , and . Inf. Sci., (2016)SimAndro: an effective method to compute similarity of Android applications., , and . Soft Comput., 23 (17): 7569-7590 (2019)SimCC-AT: A Method to Compute Similarity of Scientific Papers with Automatic Parameter Tuning., and . SIGIR, page 1005-1008. ACM, (2016)SimCS: An Effective Method to Compute Similarity of Scientific Papers Based on Contribution Scores., and . IEICE Transactions, 98-D (12): 2328-2332 (2015)AndroClass: An Effective Method to Classify Android Applications by Applying Deep Neural Networks to Comprehensive Features., , , , and . Wireless Communications and Mobile Computing, (2018)