Exploring a Siamese Neural Network Architecture for One-Shot Drug Discovery
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Bernardete Ribeiro | Luis Torres | Nelson Monteiro | Josè Oliveira | Joel Arrais | Nelson R. C. Monteiro | Joel P. Arrais | J. Oliveira | B. Ribeiro | Luis Torres | L. Torres
[1] Joshua B. Tenenbaum,et al. One shot learning of simple visual concepts , 2011, CogSci.
[2] Jürgen Bajorath,et al. Design and characterization of chemical space networks for different compound data sets , 2015, Journal of Computer-Aided Molecular Design.
[3] Joshua B. Tenenbaum,et al. The Omniglot challenge: a 3-year progress report , 2019, Current Opinion in Behavioral Sciences.
[4] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[5] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[6] Jürgen Bajorath,et al. Design of chemical space networks using a Tanimoto similarity variant based upon maximum common substructures , 2015, Journal of Computer-Aided Molecular Design.
[7] Yuan Yu,et al. TensorFlow: A system for large-scale machine learning , 2016, OSDI.
[8] Bernardete Ribeiro,et al. Drug-Target Interaction Prediction: End-to-End Deep Learning Approach , 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[9] G. Maggiora,et al. Molecular similarity in medicinal chemistry. , 2014, Journal of medicinal chemistry.
[10] Daan Wierstra,et al. Meta-Learning with Memory-Augmented Neural Networks , 2016, ICML.
[11] Vijay S. Pande,et al. MoleculeNet: a benchmark for molecular machine learning , 2017, Chemical science.
[12] Ling Shao,et al. One shot learning gesture recognition from RGBD images , 2012, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.
[13] Azah Kamilah Muda,et al. Weighted Tanimoto Coefficient for 3D Molecule Structure Similarity Measurement , 2018, ArXiv.
[14] Pierre Baldi,et al. Deep Architectures and Deep Learning in Chemoinformatics: The Prediction of Aqueous Solubility for Drug-Like Molecules , 2013, J. Chem. Inf. Model..
[15] Yann LeCun,et al. Signature Verification Using A "Siamese" Time Delay Neural Network , 1993, Int. J. Pattern Recognit. Artif. Intell..
[16] Thomas Blaschke,et al. The rise of deep learning in drug discovery. , 2018, Drug discovery today.
[17] Marcin Andrychowicz,et al. One-Shot Imitation Learning , 2017, NIPS.
[18] Johannes Fürnkranz,et al. Efficient Pairwise Classification , 2007, ECML.
[19] Robert P. Sheridan,et al. Deep Neural Nets as a Method for Quantitative Structure-Activity Relationships , 2015, J. Chem. Inf. Model..
[20] Lirong Chen,et al. Use of Natural Products as Chemical Library for Drug Discovery and Network Pharmacology , 2013, PloS one.
[21] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[22] David Weininger,et al. SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules , 1988, J. Chem. Inf. Comput. Sci..
[23] Joshua B. Tenenbaum,et al. One-Shot Learning with a Hierarchical Nonparametric Bayesian Model , 2011, ICML Unsupervised and Transfer Learning.
[24] Gregory R. Koch,et al. Siamese Neural Networks for One-Shot Image Recognition , 2015 .
[25] Gisbert Schneider,et al. Deep Learning in Drug Discovery , 2016, Molecular informatics.
[26] Andreas Mayr,et al. Deep Learning as an Opportunity in Virtual Screening , 2015 .
[27] Sébastien Marcel,et al. Multi-layer Perceptron , 2018, Handbook of Machine Learning.
[28] Esa Rahtu,et al. Siamese network features for image matching , 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).
[29] Oriol Vinyals,et al. Matching Networks for One Shot Learning , 2016, NIPS.
[30] Joshua B. Tenenbaum,et al. Concept learning as motor program induction: A large-scale empirical study , 2012, CogSci.
[31] Broderick Crawford,et al. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , 2007 .
[32] Vijay S. Pande,et al. Low Data Drug Discovery with One-Shot Learning , 2016, ACS central science.
[33] Vijay S. Pande,et al. Massively Multitask Networks for Drug Discovery , 2015, ArXiv.
[34] Zhigang Fang. Applied and computational mathematics , 2015 .
[35] Umapada Pal,et al. SigNet: Convolutional Siamese Network for Writer Independent Offline Signature Verification , 2017, ArXiv.
[36] Bin Li,et al. Applications of machine learning in drug discovery and development , 2019, Nature Reviews Drug Discovery.
[37] Joshua B. Tenenbaum,et al. One-shot learning by inverting a compositional causal process , 2013, NIPS.