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[1] Scott Lundberg,et al. A Unified Approach to Interpreting Model Predictions , 2017, NIPS.
[2] Avanti Shrikumar,et al. Learning Important Features Through Propagating Activation Differences , 2017, ICML.
[3] Danilo Comminiello,et al. Group sparse regularization for deep neural networks , 2016, Neurocomputing.
[4] Anru Zhang,et al. On the non‐asymptotic and sharp lower tail bounds of random variables , 2018, Stat.
[5] Wyeth W. Wasserman,et al. Deep Feature Selection: Theory and Application to Identify Enhancers and Promoters , 2015, RECOMB.
[6] Paul C. Kainen,et al. Functionally Equivalent Feedforward Neural Networks , 1994, Neural Computation.
[7] Vu C. Dinh,et al. Nonbifurcating Phylogenetic Tree Inference via the Adaptive LASSO , 2018, Journal of the American Statistical Association.
[8] Anne E Carpenter,et al. Opportunities and obstacles for deep learning in biology and medicine , 2017, bioRxiv.
[9] William Stafford Noble,et al. DeepPINK: reproducible feature selection in deep neural networks , 2018, NeurIPS.
[10] Kenji Fukumizu,et al. A Regularity Condition of the Information Matrix of a Multilayer Perceptron Network , 1996, Neural Networks.
[11] Andrew Zisserman,et al. Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps , 2013, ICLR.
[12] Qinghua Hu,et al. Heterogeneous Feature Selection With Multi-Modal Deep Neural Networks and Sparse Group LASSO , 2015, IEEE Transactions on Multimedia.
[13] Kai Yang,et al. SAFS: A deep feature selection approach for precision medicine , 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
[14] T. Martin McGinnity,et al. Deep-FS: A feature selection algorithm for Deep Boltzmann Machines , 2018, Neurocomputing.
[15] Carlos Guestrin,et al. "Why Should I Trust You?": Explaining the Predictions of Any Classifier , 2016, ArXiv.
[16] Mohamed A. Ismail,et al. Multi-level gene/MiRNA feature selection using deep belief nets and active learning , 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[17] Kemal Adem,et al. DIVORCE PREDICTION USING CORRELATION BASED FEATURE SELECTION AND ARTIFICIAL NEURAL NETWORKS , 2019 .
[18] H. Zou. The Adaptive Lasso and Its Oracle Properties , 2006 .
[19] John Salvatier,et al. Theano: A Python framework for fast computation of mathematical expressions , 2016, ArXiv.
[20] Héctor J. Sussmann,et al. Uniqueness of the weights for minimal feedforward nets with a given input-output map , 1992, Neural Networks.