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Predicting the distance between antibody's interface residue and antigen to recognize antigen types by support vector machine., , , , , , и . Neural Comput. Appl., 16 (4-5): 481-490 (2007)Comparison study of two kernel-based learning algorithms for predicting the distance range between antibody interface residues and antigen surface., , , , , и . Int. J. Comput. Math., 84 (5): 697-707 (2007)Navigating Alignment for Non-identical Client Class Sets: A Label Name-Anchored Federated Learning Framework., , , , , и . KDD, стр. 3297-3308. ACM, (2023)Simulating Online Social Response: A Stimulus/Response Perspective., , , , , , , , , и 10 other автор(ы). WSC, стр. 1-12. IEEE, (2021)Trojaning Language Models for Fun and Profit., , , и . EuroS&P, стр. 179-197. IEEE, (2021)Patton: Language Model Pretraining on Text-Rich Networks., , , , , , и . ACL (1), стр. 7005-7020. Association for Computational Linguistics, (2023)Understanding spatially nonstationary effects of natural and human-induced factors on land subsidence based on multi-temporal InSAR and multi-source geospatial data: a case study in the Guangdong-Hong Kong-Macao Greater Bay Area., , , , , и . Int. J. Digit. Earth, 16 (2): 4404-4427 (декабря 2023)Efficient Management and Processing of Massive InSAR Images Using an HPC-Based Cloud Platform., , , и . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2024)Federated Learning with Client-Exclusive Classes., , , , , и . CoRR, (2023)Improved genetic algorithm-based research on optimization of least square support vector machines: an application of load forecasting., , , , и . Soft Comput., 25 (18): 11997-12005 (2021)