Standout Papers

Do no harm: a roadmap for responsible machine learning for health care 2019 2026 2021 2023 433
  1. Do no harm: a roadmap for responsible machine learning for health care (2019)
    Jenna Wiens, Suchi Saria et al. Nature Medicine

Citation Impact

Citing Papers

Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
2010 Standout
Visualizing Data using t-SNE
2008 StandoutNobel
Factorial LDA: Sparse Multi-Dimensional Text Models
2012
The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification
2014
Understanding the difficulty of training deep feedforward neural networks
2010 Standout
Dirichlet–Laplace Priors for Optimal Shrinkage
2014 Standout
Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach
2013 Standout
Foundation models for generalist medical artificial intelligence
2023 StandoutNature
The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture
2016 Standout
Human-level control through deep reinforcement learning
2015 StandoutNatureNobel
AI in health and medicine
2022 Standout
Large language models in medicine
2023 Standout
Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis
2014 Standout
Multimodal biomedical AI
2022 Standout
A distributional code for value in dopamine-based reinforcement learning
2020 StandoutNatureNobel
Probabilistic brains: knowns and unknowns
2013
Language models are an effective representation learning technique for electronic health record data
2020
Deep learning
2015 StandoutNatureNobel
Representation Learning: A Review and New Perspectives
2013 Standout
Wattpad as a resource for literary studies. Quantitative and qualitative examples of the importance of digital social reading and readers’ comments in the margins
2020 Standout
Illuminating the dark spaces of healthcare with ambient intelligence
2020 Nature
Deep learning in neural networks: An overview
2014 Standout
Whatever next? Predictive brains, situated agents, and the future of cognitive science
2013 Standout
An Introduction to Variational Autoencoders
2019 Standout
Future Intelligent and Secure Vehicular Network Toward 6G: Machine-Learning Approaches
2019 Standout
Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review
2017 Standout
Internet of Things (IoT): A vision, architectural elements, and future directions
2013 Standout
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 Standout
CEAP: SVM-based intelligent detection model for clustered vehicular ad hoc networks
2015
Machine Learning in Medicine
2015 Standout
A hybrid machine learning approach to network anomaly detection
2007
Analyst Information Discovery and Interpretation Roles: A Topic Modeling Approach
2017 Standout
Sparse Additive Generative Models of Text
2011
Simultaneously Discovering and Quantifying Risk Types from Textual Risk Disclosures
2014 Standout
A few useful things to know about machine learning
2012 Standout
An Efficient Learning Procedure for Deep Boltzmann Machines
2012 StandoutNobel
A hierarchical method for whole‐brain connectivity‐based parcellation
2014
Combining chest X-rays and electronic health record (EHR) data using machine learning to diagnose acute respiratory failure
2022
Beyond prediction: Using big data for policy problems
2017 StandoutScience
Democratizing EHR analyses with FIDDLE: a flexible data-driven preprocessing pipeline for structured clinical data
2020
Time-Resolved Line Shapes of Single Quantum Emitters via Machine Learned Photon Correlations
2023 StandoutNobel
Deep belief network based deterministic and probabilistic wind speed forecasting approach
2016 Standout
Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts
2013 Standout
A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures
2019 Standout
Adversarial autoencoder ensemble for fast and probabilistic reconstructions of few-shot photon correlation functions for solid-state quantum emitters
2022 StandoutNobel
Sentiment Analysis: Mining Opinions, Sentiments, and Emotions
2015
Data-intensive applications, challenges, techniques and technologies: A survey on Big Data
2014 Standout
GAN(Generative Adversarial Nets)
2017 Standout
A survey of network anomaly detection techniques
2015 Standout
A survey of deep neural network architectures and their applications
2016 Standout
Learning Deep Architectures for AI
2009 Standout
The Blessings of Multiple Causes
2019
Anomaly detection
2009 Standout
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
2019 Standout
Visualizing non-metric similarities in multiple maps
2011 StandoutNobel
Disentangling Rotational Dynamics and Ordering Transitions in a System of Self-Organizing Protein Nanorods via Rotationally Invariant Latent Representations
2021 StandoutNobel
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 Standout
A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches
2015 Standout
Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics
2020 StandoutNobel
A Model of Text for Experimentation in the Social Sciences
2016 Standout
A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection
2015 Standout
Deep Learning in Medical Image Analysis
2017 Standout
A review of novelty detection
2014 Standout
Negative Binomial Process Count and Mixture Modeling
2013

Works of Katherine Heller being referenced

Bayesian Exponential Family PCA
2008
A Nonparametric Bayesian Approach to Modeling Overlapping Clusters.
2007
The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling
2010
Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models
2012
Bayesian Sets
2005
Do no harm: a roadmap for responsible machine learning for health care
2019 Standout
Bayesian Rose Trees
2012
An Alternative Prior Process for Nonparametric Bayesian Clustering
2008
Fast Second-Order Stochastic Backpropagation for Variational Inference
2015
One Class Support Vector Machines for Detecting Anomalous Windows Registry Accesses
2003
Rankless by CCL
2026