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Machine-Generated Text: A Comprehensive Survey of Threat Models and Detection Methods.

, , and . IEEE Access, (2023)

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Dynamic adaptation of online ensembles for drifting data streams., , and . J. Intell. Inf. Syst., 50 (2): 291-313 (2018)Reservoir of Diverse Adaptive Learners and Stacking Fast Hoeffding Drift Detection Methods for Evolving Data Streams., , and . CoRR, (2017)Physics-based measurements, reflective measurements and meta-measurements for nonrigid and deformable shapes with application to structural proteomics and macromolecular docking., , , and . CIVEMSA, page 112-117. IEEE, (2014)Improved Programming-Language Independent MapReduce on Shared-Memory Systems., and . DaWaK, volume 11708 of Lecture Notes in Computer Science, page 206-220. Springer, (2019)Machine-Generated Text: A Comprehensive Survey of Threat Models and Detection Methods., , and . IEEE Access, (2023)An Exploratory Study of Oral and Dental Health in Canada., , , and . ICMLA, page 1114-1119. IEEE, (2017)Beyond k-NN: Combining Cluster Analysis and Classification for Recommender Systems., , and . KDIR, page 80-89. SciTePress, (2018)Transductive Relational Classification in the Co-training Paradigm., , , , , and . MLDM, volume 7376 of Lecture Notes in Computer Science, page 11-25. Springer, (2012)Building Smart Cubes for Reliable and Faster Access to Data., and . DaWaK, volume 8646 of Lecture Notes in Computer Science, page 254-265. Springer, (2014)Multiple Classifier Prediction Improvements against Imbalanced Datasets through Added Synthetic Examples., and . SSPR/SPR, volume 3138 of Lecture Notes in Computer Science, page 974-982. Springer, (2004)