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V. - T. Ninh, Le, T. - K., Zhou, L., Piras, L., Riegler, M., Lux, M., Tran, M. - T., Gurrin, C., and Dang-Nguyen, D. - T., LIFER 2.0: Discovering Personal Lifelog Insights using an Interactive Lifelog Retrieval System, in Working Notes of {CLEF} 2019 - Conference and Labs of the Evaluation Forum, Lugano, Switzerland, September 9-12, 2019., 2019. (1.56 MB)
W. W. Y. Ng, Hu, J., Yeung, D., Yin, S., and Roli, F., Diversified Sensitivity based Undersampling for Imbalance Classification Problems, IEEE Transactions on Cybernetics, In Press. (1.91 MB)
B. Nelson, Biggio, B., and Laskov, P., Understanding the Risk Factors of Learning in Adversarial Environments, in 4th ACM Workshop on Artificial Intelligence and Security (AISec 2011), Chicago, IL, USA, 2011, pp. 87–92. (132.42 KB)
B. Nelson, Biggio, B., and Laskov, P., Microbagging Estimators: An Ensemble Approach to Distance-weighted Classifiers, in Journal of Machine Learning Research - Proc. 3rd Asian Conference on Machine Learning (ACML 2011), Taoyuan, Taiwan, 2011, vol. 20, pp. 63-79. (481.46 KB)
M. Narouei, Ahmadi, M., Giacinto, G., Takabi, H., and Sami, A., DLLMiner: structural mining for malware detection, Security and Communication Networks, 2015. (731.78 KB)