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Visualizing the outcome of dynamic analysis of Android malware with VizMal., , , , and . J. Inf. Secur. Appl., (2020)Machine Learning for Driver Detection through CAN bus., , and . VTC Spring, page 1-5. IEEE, (2020)Android Collusion: Detecting Malicious Applications Inter-Communication through SharedPreferences., , , and . Inf., 11 (6): 304 (2020)Experimenting and assessing machine learning tools for detecting and analyzing malicious behaviors in complex environments., , , and . J. Reliab. Intell. Environ., 4 (4): 225-245 (2018)Acquiring and Analyzing App Metrics for Effective Mobile Malware Detection., , , and . IWSPA@CODASPY, page 50-57. ACM, (2016)Malware and Formal Methods: Rigorous Approaches for detecting Malicious Behaviour., , , and . ARES, page 76:1-76:6. ACM, (2017)Identifying Mobile Repackaged Applications through Formal Methods., , , , and . ICISSP, page 673-682. SciTePress, (2017)Ransomware Steals Your Phone. Formal Methods Rescue It., , , and . FORTE, volume 9688 of Lecture Notes in Computer Science, page 212-221. Springer, (2016)Cognitive data science methods and models for engineering applications., , , , and . Soft Comput., 23 (19): 9045-9048 (2019)Explainable Deep Learning for Alzheimer Disease Classification and Localisation., , , , , and . AII, page 129-143. (2022)