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Leveraging Synthetic Data and PU Learning For Phishing Email Detection.

, , and . CODASPY, page 29-40. ACM, (2022)

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Machine Learning Methods for Software Vulnerability Detection., and . IWSPA@CODASPY, page 31-39. ACM, (2018)Can Machines Tell Stories? A Comparative Study of Deep Neural Language Models and Metrics., and . IEEE Access, (2020)Combining Syntax and Semantics for Automatic Extractive Single-Document Summarization., and . CICLing (2), volume 7182 of Lecture Notes in Computer Science, page 366-377. Springer, (2012)Mining the Web for Collocations: IR Models of Term Associations., , , , , , and . CICLing (1), volume 9623 of Lecture Notes in Computer Science, page 177-194. Springer, (2016)RPO Constraint Solving Is in NP., , and . CSL, volume 1584 of Lecture Notes in Computer Science, page 385-398. Springer, (1998)Software Vulnerability Detection via Multimodal Deep Learning., and . STM, volume 13867 of Lecture Notes in Computer Science, page 85-103. Springer, (2022)A visual and interactive automata theory course emphasizing breadth of automata.. ITiCSE, page 325-329. ACM, (2005)University of Houston @ CL-SciSumm 2017: Positional language Models, Structural Correspondence Learning and Textual Entailment., , , and . BIRNDL@SIGIR (2), volume 2002 of CEUR Workshop Proceedings, page 73-85. CEUR-WS.org, (2017)Vulnerability Detection via Multimodal Learning: Datasets and Analysis., and . AsiaCCS, page 1225-1227. ACM, (2022)Detecting Phishing Emails the Natural Language Way., , and . ESORICS, volume 7459 of Lecture Notes in Computer Science, page 824-841. Springer, (2012)