Standout Papers

Combining satellite imagery and machine learning to predict poverty 2016 2026 2019 2022 862
  1. Combining satellite imagery and machine learning to predict poverty (2016)
    Neal Jean, Marshall Burke et al. Science

Citation Impact

Citing Papers

LiNi 0.5 Mn 1.5 O 4 Cathode Microstructure for All-Solid-State Batteries
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Continual lifelong learning with neural networks: A review
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Multiagent off-screen behavior prediction in football
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A review of uncertainty quantification in deep learning: Techniques, applications and challenges
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Learning surface molecular structures via machine vision
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Crop yield prediction using machine learning: A systematic literature review
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Designing the next generation of proton-exchange membrane fuel cells
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Machine learning for molecular and materials science
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Deep learning and process understanding for data-driven Earth system science
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End-to-end design of wearable sensors
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Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
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Rethinking drug design in the artificial intelligence era
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The role of artificial intelligence in achieving the Sustainable Development Goals
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An Introduction to Variational Autoencoders
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Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review
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Fast Charging of Lithium‐Ion Batteries: A Review of Materials Aspects
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Advances in using multitemporal night-time lights satellite imagery to detect, estimate, and monitor socioeconomic dynamics
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All-optical machine learning using diffractive deep neural networks
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Multibeam for Joint Communication and Radar Sensing Using Steerable Analog Antenna Arrays
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Assimilation of remote sensing into crop growth models: Current status and perspectives
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Machine Learning: An Applied Econometric Approach
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Algorithms at Work: The New Contested Terrain of Control
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Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
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WiFi Sensing with Channel State Information
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Challenges in speeding up solid-state battery development
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Synchrotron X-ray Analytical Techniques for Studying Materials Electrochemistry in Rechargeable Batteries
2017
The View from Above: Applications of Satellite Data in Economics
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Deep visual domain adaptation: A survey
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Realizing the potential of digital development: The case of agricultural advice
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MULTI-TEMPORAL LAND COVER CLASSIFICATION WITH LONG SHORT-TERM MEMORY NEURAL NETWORKS
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A Comprehensive Survey on Transfer Learning
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Frontrunners and laggards: How fast are the EU member states progressing towards the sustainable development goals?
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Perceptive Mobile Networks: Cellular Networks With Radio Vision via Joint Communication and Radar Sensing
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A survey on Image Data Augmentation for Deep Learning
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Short O–O separation in layered oxide Na 0.67 CoO 2 enables an ultrafast oxygen evolution reaction
2019 StandoutNobel
Water electrolysis: from textbook knowledge to the latest scientific strategies and industrial developments
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Accelerating the discovery of materials for clean energy in the era of smart automation
2018
Predicting the Future — Big Data, Machine Learning, and Clinical Medicine
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An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings
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Transitive Transfer Learning
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Machine Learning Methods That Economists Should Know About
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Recent advances and applications of machine learning in solid-state materials science
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Distant Domain Transfer Learning
2017
Machine learning–accelerated design and synthesis of polyelemental heterostructures
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ChatGPT Research Group for Optimizing the Crystallinity of MOFs and COFs
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Time-Resolved Line Shapes of Single Quantum Emitters via Machine Learned Photon Correlations
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High Spatial Resolution Visual Band Imagery Outperforms Medium Resolution Spectral Imagery for Ecosystem Assessment in the Semi-Arid Brazilian Sertão
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Acquisition of chess knowledge in AlphaZero
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Adversarial autoencoder ensemble for fast and probabilistic reconstructions of few-shot photon correlation functions for solid-state quantum emitters
2022 StandoutNobel
Toward Causal Representation Learning
2021
Joint Radar and Communication Design: Applications, State-of-the-Art, and the Road Ahead
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Sustainability Indicators Past and Present: What Next?
2018
Logic meets Probability: Towards Explainable AI Systems for Uncertain Worlds
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Advancing Biosensors with Machine Learning
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A Review of Deep Learning Models for Time Series Prediction
2019
Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review
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Discovery of blue singlet exciton fission molecules via a high-throughput virtual screening and experimental approach
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Using Randomized Controlled Trials to Estimate Long-Run Impacts in Development Economics
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Disentangling Rotational Dynamics and Ordering Transitions in a System of Self-Organizing Protein Nanorods via Rotationally Invariant Latent Representations
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Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond
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Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States
2017
A survey of transfer learning
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Consensus Problems on Networks With Antagonistic Interactions
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Charging Infrastructure Intellectualization and Future of Different Automotive Powertrains
2020
Google Earth Engine Applications
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Before Li Ion Batteries
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Crop yield prediction with deep convolutional neural networks
2019
Deep learning microscopy
2017
Field-level crop yield mapping with Landsat using a hierarchical data assimilation approach
2019
Deep learning in agriculture: A survey
2018 Standout
Enabling Joint Communication and Radar Sensing in Mobile Networks—A Survey
2021

Works of Stefano Ermon being referenced

Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization
2019
Weakly Supervised Disentanglement with Guarantees
2020
Embed and Project: Discrete Sampling with Universal Hashing
2013
Accurate Uncertainties for Deep Learning Using Calibrated Regression.
2018
Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning
2019
Unsupervised Data Mining in nanoscale X-ray Spectro-Microscopic Study of NdFeB Magnet
2016
Closed-loop optimization of fast-charging protocols for batteries with machine learning
2020 Nature
Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models
2017
Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping
2016
Trust Estimation in autonomic networks: a statistical mechanics approach
2009
A Theory of Usable Information Under Computational Constraints
2020
Hierarchical modeling of seed variety yields and decision making for future planting plans
2018
Learning policies for battery usage optimization in electric vehicles
2013
Negative Data Augmentation
2021
Combining satellite imagery and machine learning to predict poverty
2016 StandoutScience
A Survey on Behavior Recognition Using WiFi Channel State Information
2017
Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data
2017
Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models
2018
High‐Voltage Charging‐Induced Strain, Heterogeneity, and Micro‐Cracks in Secondary Particles of a Nickel‐Rich Layered Cathode Material
2019
Rankless by CCL
2026