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A transcription-based approach to determine the difficulty of a speech recognition task.

, , , , and . IEEE Trans. Speech Audio Process., 7 (3): 339-342 (1999)

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Measuring normality in HTTP traffic for anomaly-based intrusion detection., , and . Comput. Networks, 45 (2): 175-193 (2004)Defense techniques for low-rate DoS attacks against application servers., , and . Comput. Networks, 54 (15): 2711-2727 (2010)Segmental parameterisation and statistical modelling of e-mail headers for spam detection., , and . Inf. Sci., (2012)A methodology for conducting efficient sanitization of HTTP training datasets., , , , and . Future Gener. Comput. Syst., (2020)Stochastic Protocol Modeling for Anomaly Based Network Intrusion Detection., , and . IWIA, page 3-12. IEEE Computer Society, (2003)SLHMM: a continuous speech recognition system based on Alphanet-HMM., , , and . ICASSP (1), page 213-216. IEEE Computer Society, (1994)On the Design of a Low-Rate DoS Attack Against Iterative Servers., , and . SECRYPT, page 149-156. INSTICC Press, (2006)Detection of Web-Based Attacks through Markovian Protocol Parsing., , and . ISCC, page 457-462. IEEE Computer Society, (2005)Low Rate DoS Attack to Monoprocess Servers., , and . SPC, volume 3934 of Lecture Notes in Computer Science, page 43-57. Springer, (2006)Insights into anomaly-based intrusion detection systems usability. A case study using real http requests., , , and . EICC, page 82-89. ACM, (2024)