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Unity is strength: Improving the detection of adversarial examples with ensemble approaches.

, , , , , and . Neurocomputing, (October 2023)

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Integration of Single-Cell RNA-Sequencing Data into Flux Balance Cellular Automata., , , , , , , and . CIBB, volume 12313 of Lecture Notes in Computer Science, page 207-215. Springer, (2019)EAD: an ensemble approach to detect adversarial examples from the hidden features of deep neural networks., , , , , and . CoRR, (2021)J-SPACE: a Julia package for the simulation of spatial models of cancer evolution and of sequencing experiments., , , , , and . BMC Bioinform., 23 (1): 269 (2022)LACE: Inference of cancer evolution models from longitudinal single-cell sequencing data., , , , , , , and . J. Comput. Sci., (2022)Optimal Control of a Discrete Time Stochastic Model of an Epidemic Spreading in Arbitrary Networks., , , and . ANNSIM, page 1-12. IEEE, (2021)Unity is strength: Improving the detection of adversarial examples with ensemble approaches., , , , , and . Neurocomputing, (October 2023)PMCE: efficient inference of expressive models of cancer evolution with high prognostic power., , , , , and . Bioinform., 38 (3): 754-762 (2022)Exploring the Solution Space of Cancer Evolution Inference Frameworks for Single-Cell Sequencing Data., , , , , and . WIVACE, volume 1780 of Communications in Computer and Information Science, page 70-81. Springer, (2022)A closed-loop optimization framework for personalized cancer therapy design., , , , , and . CIBCB, page 1-9. IEEE, (2020)LACE 2.0: an interactive R tool for the inference and visualization of longitudinal cancer evolution., , , , , , , , , and . BMC Bioinform., 24 (1): 99 (December 2023)