Beyond Textual Data: Predicting Drug-Drug Interactions from Molecular Structure Images using Siamese Neural Networks
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[1] Gang Wang,et al. Gated Siamese Convolutional Neural Network Architecture for Human Re-identification , 2016, ECCV.
[2] Jimeng Sun,et al. CASTER: Predicting Drug Interactions with Chemical Substructure Representation , 2019, AAAI.
[3] Luca Toldo,et al. Extraction of potential adverse drug events from medical case reports , 2012, Journal of biomedical semantics.
[4] Andrew Zisserman,et al. Spatial Transformer Networks , 2015, NIPS.
[5] Matthew D. Zeiler. ADADELTA: An Adaptive Learning Rate Method , 2012, ArXiv.
[6] J. Friedman. Greedy function approximation: A gradient boosting machine. , 2001 .
[7] Max Welling,et al. Semi-Supervised Classification with Graph Convolutional Networks , 2016, ICLR.
[8] Luca Bertinetto,et al. Fully-Convolutional Siamese Networks for Object Tracking , 2016, ECCV Workshops.
[9] Max Welling,et al. Transformation Properties of Learned Visual Representations , 2014, ICLR.
[10] A. Y. Lu,et al. Human cytochrome P-450 3A4: in vitro drug-drug interaction patterns are substrate-dependent. , 2000, Drug metabolism and disposition: the biological fate of chemicals.
[11] Xiaofeng He,et al. Medical Question Retrieval Based on Siamese Neural Network and Transfer Learning Method , 2019, DASFAA Workshops.
[12] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[13] P. Barach,et al. Clarifying Adverse Drug Events: A Clinician's Guide to Terminology, Documentation, and Reporting , 2004, Annals of Internal Medicine.
[14] Makoto Miwa,et al. Enhancing Drug-Drug Interaction Extraction from Texts by Molecular Structure Information , 2018, ACL.
[15] Kristian Kersting,et al. Learning Markov Logic Networks via Functional Gradient Boosting , 2011, 2011 IEEE 11th International Conference on Data Mining.
[16] Sriraam Natarajan,et al. Drug-Drug Interaction Discovery: Kernel Learning from Heterogeneous Similarities. , 2018, Smart health.
[17] César de Pablo-Sánchez,et al. Using a shallow linguistic kernel for drug-drug interaction extraction , 2011, J. Biomed. Informatics.
[18] D. Bates,et al. Adverse drug events occurring following hospital discharge , 2005, Journal of General Internal Medicine.
[19] Pawan Goyal,et al. Drug-Drug Interactions Prediction Based on Drug Embedding and Graph Auto-Encoder , 2019, 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE).
[20] D. Pollock,et al. National surveillance of emergency department visits for outpatient adverse drug events. , 2006, JAMA.
[21] Jenny Benois-Pineau,et al. Classification of sMRI for Alzheimer's disease Diagnosis with CNN: Single Siamese Networks with 2D+? Approach and Fusion on ADNI , 2017, ICMR.
[22] Zhongming Zhao,et al. Machine learning-based prediction of drug-drug interactions by integrating drug phenotypic, therapeutic, chemical, and genomic properties. , 2014, Journal of the American Medical Informatics Association : JAMIA.
[23] Alberto Lavelli,et al. FBK-irst : A Multi-Phase Kernel Based Approach for Drug-Drug Interaction Detection and Classification that Exploits Linguistic Information , 2013, *SEMEVAL.
[24] Kristian Kersting,et al. Gradient-based boosting for statistical relational learning: The relational dependency network case , 2011, Machine Learning.
[25] Gregory R. Koch,et al. Siamese Neural Networks for One-Shot Image Recognition , 2015 .
[26] S. Preskorn,et al. The economic consequences of a drug-drug interaction. , 2001, Journal of clinical psychopharmacology.
[27] Timothy Dozat,et al. Incorporating Nesterov Momentum into Adam , 2016 .
[28] Jae Yong Ryu,et al. Deep learning improves prediction of drug–drug and drug–food interactions , 2018, Proceedings of the National Academy of Sciences.
[29] Yann LeCun,et al. Learning a similarity metric discriminatively, with application to face verification , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[30] Yann LeCun,et al. Signature Verification Using A "Siamese" Time Delay Neural Network , 1993, Int. J. Pattern Recognit. Artif. Intell..
[31] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[32] Edward J. Delp,et al. A Two Stream Siamese Convolutional Neural Network for Person Re-identification , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[33] C. Richards,et al. Emergency hospitalizations for adverse drug events in older Americans. , 2011, The New England journal of medicine.
[34] Yann LeCun,et al. Dimensionality Reduction by Learning an Invariant Mapping , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[35] C. Pham-Huy,et al. Chiral Drugs: An Overview , 2006, International journal of biomedical science : IJBS.
[36] Hsinchun Chen,et al. AZDrugMiner: An Information Extraction System for Mining Patient-Reported Adverse Drug Events in Online Patient Forums , 2013, ICSH.
[37] Paul B. Watkins,et al. Atorvastatin Reduces the Ability of Clopidogrel to Inhibit Platelet Aggregation: A New Drug–Drug Interaction , 2003, Circulation.
[38] Ji Wu,et al. Drug-drug Interaction Prediction with Graph Representation Learning , 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
[39] M. Kramer. Nonlinear principal component analysis using autoassociative neural networks , 1991 .
[40] D. Bates,et al. Incidence and preventability of adverse drug events among older persons in the ambulatory setting. , 2003, JAMA.
[41] Deepak Padmanabhan,et al. A review of drug isomerism and its significance , 2013, International journal of applied & basic medical research.
[42] J S Roberts,et al. Quantifying the Clinical Significance of Drug—Drug Interactions: Scaling Pharmacists' Perceptions of a Common Interaction Classification Scheme , 1996, The Annals of pharmacotherapy.
[43] Alán Aspuru-Guzik,et al. Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules , 2016, ACS central science.
[44] Nello Cristianini,et al. Kernel Methods for Pattern Analysis , 2003, ICTAI.
[45] Richard B. Berlin,et al. Predicting adverse drug events from personal health messages. , 2011, AMIA ... Annual Symposium proceedings. AMIA Symposium.