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RESEARCH PAPER · Science Advances · 2019

Machine learning in a data-limited regime: Augmenting experiments with synthetic data uncovers order in crumpled sheets

Jordan Hoffmann, Yohai Bar‐Sinai, Lisa M. Lee, Jovana Andrejevic, Debahuti Mishra, Shmuel M. Rubinstein, Chris H. Rycroft

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Machine learning in a data-limited regime: Augmenting experiments with synthetic data uncovers order in crumpled sheetsOriginalOn the verge : Mechanics in the limit of vanishing strength and stiffness0Screening billions of candidates for solid lithium-ion conductors: A transfer learning approach for small data129Brain experiments imply adaptation mechanisms which outperform common AI learning algorithms8Introducing a framework for modeling of drug electrochemical removal from wastewater based on data mining algorithms, scatter interpolation method, and multi criteria decision analysis (DID)60Pilot Multi-Omic Analysis of Human Bile from Benign and Malignant Biliary Strictures: A Machine-Learning Approach70Machine-Learning-Driven Synthesis of Carbon Dots with Enhanced Quantum Yields274Machine learning depinning of dislocation pileups11Power-law scaling to assist with key challenges in artificial intelligence23Bayesian Perspectives on Mathematical Practice0Bayesian Perspectives on Mathematical Practice1Reinforcing Synthetic Data for Meticulous Survival Prediction of Patients Suffering From Left Ventricular Systolic Dysfunction10A model for the fragmentation kinetics of crumpled thin sheets23A model for the fragmentation kinetics of crumpled thin sheets23Machine learning of LWR spent nuclear fuel assembly decay heat measurements18SCOUR: a stepwise machine learning framework for predicting metabolite-dependent regulatory interactions5Singlet Oxygen Photosensitization Using Graphene-Based Structures and Immobilized Dyes: A Review41Physics-enhanced deep surrogates for PDEs.0Deducing of Optimal Machine Learning Algorithms for Heterogeneity16Deducing Optimal Classification Algorithm for Heterogeneous Fabric9Elastogranular Sheets4Smart City Traffic Patterns Prediction Using Machine Learning2Surfactant-laden droplet size prediction in a flow-focusing microchannel: a data-driven approach55Deducing Optimal Classification Algorithm for Heterogeneous Fabric0Automatic strain sensor design via active learning and data augmentation for soft machines101Packing of elastic rings with friction7Feature-based intelligent models for optimisation of percussive drilling11Incorporating Spatial Autocorrelation in Machine Learning Models Using Spatial Lag and Eigenvector Spatial Filtering Features77Multiscale topology characterizes dynamic tumor vascular networks41Leveraging deep learning algorithms for synthetic data generation to design and analyze biological networks32Sarve: synthetic data and local differential privacy for private frequency estimation18Photonic System for Real Time Detection, Discrimination, and Quantification of Microbes in Air0Why big data and compute are not necessarily the path to big materials science51Beyond quality and quantity: Spatial distribution of contact encodes frictional strength5Simulation of crumpled sheets via alternating quasistatic and dynamic representations10Automated data preparation for in vivo tumor characterization with machine learning10Machine learning for a sustainable energy future517High Resolution Interferometric Imaging of Liquid-Solid Interfaces with HOTNNET6Machine Learning of Implicit Combinatorial Rules in Mechanical Metamaterials37A domain knowledge enhanced machine learning method to predict the properties of halide double perovskite A 2 B + B 3+ X 615A scientific machine learning framework to understand flash graphene synthesis24Optimization, characterization of Astragalus polysaccharides, and evaluation of anti-inflammation effect in primary cultured astrocytes via HMGB1/RAGE/NF-κB/NLRP3 signal pathway13Photonic system for real-time detection, discrimination, and quantification of microbes in air1Accurately predicting hit songs using neurophysiology and machine learning14Prospective on methods of design of experiments for limited data scenarios in materials design and engineering6Characterizing High Rate GNSS Velocity Noise for Synthesizing a GNSS Strong Motion Learning Catalog3Graph embedding and transfer learning can help predict potential species interaction networks despite data limitations19Distributed Platform for Offline and Online EV Charging Simulation2Soft matter roadmap *38Physics-enhanced deep surrogates for partial differential equations49Crumple-recoverable electronics based on plastic to elastic deformation transitions33Bayesian Perspectives on Mathematical Practice0Ground motion models for regions with limited data: Data‐driven approach12The Logic of the Synthetic Supplement in Algorithmic Societies16Delineating Mastitis Cases in Dairy Cows: Development of an IoT-Enabled Intelligent Decision Support System for Dairy Farms16Exploring unseen 3D scenarios of physics variables using machine learning-based synthetic data: An application to wave energy converters2Slip Tendency Analysis From Sparse Stress and Satellite Data Using Physics‐Guided Deep Neural Networks4The Constrained Disorder Principle Overcomes the Challenges of Methods for Assessing Uncertainty in Biological Systems15Facing & mitigating common challenges when working with real-world data: The Data Learning Paradigm24WDRIV-Net: a weighted ensemble transfer learning to improve automatic type stratification of lumbar intervertebral disc bulge, prolapse, and herniation3Guardians of Tomorrow: Leveraging Responsible AI for Early Detection and Response to Criminal Threats2Machine learning-driven property prediction for materials in data-scarcity scenarios: Ensemble of experts approach6Exploration of the fluorine−fluorine interaction mechanism in fluoroquinolone antibiotics recognition and ciprofloxacin detection on the basis of fluorine−doped carbon quantum dots and machine learning12Development and validation of a machine learning model for predicting pulmonary metastasis in hepatocellular carcinoma patients2Nominal Classification of Rupiah Banknotes Images Using Vision Transformer1Performance Evaluation of Deep Learning for the Detection and Segmentation of Thyroid Nodules: Systematic Review and Meta-Analysis17Governing synthetic data in the financial sector3Quantum Dots for Detection of Environmental Contaminants0Uncertainty-Aware Prediction of 195 Pt Chemical Shifts from Limited Data2Development of an interpretable machine learning model to predict complete remission and first adverse event in pediatric acute myeloid leukemia using routine clinical data0

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  2. Screening billions of candidates for solid lithium-ion conductors: A transfer learning approach for small data

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  3. Brain experiments imply adaptation mechanisms which outperform common AI learning algorithms

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  4. Introducing a framework for modeling of drug electrochemical removal from wastewater based on data mining algorithms, scatter interpolation method, and multi criteria decision analysis (DID)

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  5. Pilot Multi-Omic Analysis of Human Bile from Benign and Malignant Biliary Strictures: A Machine-Learning Approach

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  6. Machine-Learning-Driven Synthesis of Carbon Dots with Enhanced Quantum Yields

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  7. Machine learning depinning of dislocation pileups

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  8. Power-law scaling to assist with key challenges in artificial intelligence

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  9. Bayesian Perspectives on Mathematical Practice

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  10. Bayesian Perspectives on Mathematical Practice

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  11. Reinforcing Synthetic Data for Meticulous Survival Prediction of Patients Suffering From Left Ventricular Systolic Dysfunction

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  12. A model for the fragmentation kinetics of crumpled thin sheets

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  13. A model for the fragmentation kinetics of crumpled thin sheets

    RePEc: Research Papers in Economics · 2021-03-05

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  14. Machine learning of LWR spent nuclear fuel assembly decay heat measurements

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    Bamidele Ebiwonjumi, Alexey Cherezov, Siarhei Dzianisau, Deokjung Lee

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  15. SCOUR: a stepwise machine learning framework for predicting metabolite-dependent regulatory interactions

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  16. Singlet Oxygen Photosensitization Using Graphene-Based Structures and Immobilized Dyes: A Review

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    Mohsen Tamtaji, Abhishek Tyagi, Chae Young You, Patrick Ryan Galligan, Hongwei Liu, Zhenjing Liu, Rezvan Karimi, Yuting Cai, Alexander Perez Roxas, Hoilun Wong, Zhengtang Luo

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  17. Physics-enhanced deep surrogates for PDEs.

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  18. Deducing of Optimal Machine Learning Algorithms for Heterogeneity

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  19. Deducing Optimal Classification Algorithm for Heterogeneous Fabric

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  20. Elastogranular Sheets

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  21. Smart City Traffic Patterns Prediction Using Machine Learning

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  23. Deducing Optimal Classification Algorithm for Heterogeneous Fabric

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  25. Packing of elastic rings with friction

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  26. Feature-based intelligent models for optimisation of percussive drilling

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  37. High Resolution Interferometric Imaging of Liquid-Solid Interfaces with HOTNNET

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  38. Machine Learning of Implicit Combinatorial Rules in Mechanical Metamaterials

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