Andrew Ng | Academic Influence

Andrew Ng's AcademicInfluence.com Rankings

Andrew Ng

Computer Science

#1762

World Rank

#1825

Historical Rank

#839

USA Rank

Computational Linguistics

#20

World Rank

#20

Historical Rank

#7

USA Rank

Algorithms

#38

World Rank

#38

Historical Rank

#14

USA Rank

Machine Learning

#99

World Rank

#99

Historical Rank

#36

USA Rank

computer-science Degrees

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Computer Science

Andrew Ng's Degrees

PhD Computer Science University of California, Berkeley
Bachelors Computer Science Carnegie Mellon University

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Why Is Andrew Ng Influential?

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According to Wikipedia, Andrew Yan-Tak Ng is a British-American computer scientist and technology entrepreneur focusing on machine learning and artificial intelligence . Ng was a cofounder and head of Google Brain and was the former Chief Scientist at Baidu, building the company's Artificial Intelligence Group into a team of several thousand people.

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Andrew Ng's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Latent Dirichlet Allocation (2001) (34032)
On Spectral Clustering: Analysis and an algorithm (2001) (9137)
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank (2013) (6224)
Reading Digits in Natural Images with Unsupervised Feature Learning (2011) (4904)
Learning Word Vectors for Sentiment Analysis (2011) (3658)
Large Scale Distributed Deep Networks (2012) (3316)
Distance Metric Learning with Application to Clustering with Side-Information (2002) (3206)
An Analysis of Single-Layer Networks in Unsupervised Feature Learning (2011) (3061)
Apprenticeship learning via inverse reinforcement learning (2004) (2888)
Efficient sparse coding algorithms (2006) (2794)
Pharmacokinetics of a novel formulation of ivermectin after administration to goats (2000) (2744)
Multimodal Deep Learning (2011) (2735)
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations (2009) (2647)
Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin (2015) (2565)
On Discriminative vs. Generative Classifiers: A comparison of logistic regression and naive Bayes (2001) (2361)
Cheap and Fast – But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks (2008) (2252)
Building high-level features using large scale unsupervised learning (2011) (2207)
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning (2017) (1900)
Policy Invariance Under Reward Transformations: Theory and Application to Reward Shaping (1999) (1833)
Feature selection, L1 vs. L2 regularization, and rotational invariance (2004) (1780)
Deep Speech: Scaling up end-to-end speech recognition (2014) (1767)
Reasoning With Neural Tensor Networks for Knowledge Base Completion (2013) (1759)
Self-taught learning: transfer learning from unlabeled data (2007) (1705)
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network (2019) (1396)
Parsing Natural Scenes and Natural Language with Recursive Neural Networks (2011) (1396)
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison (2019) (1353)
Semantic Compositionality through Recursive Matrix-Vector Spaces (2012) (1339)
Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions (2011) (1308)
Zero-Shot Learning Through Cross-Modal Transfer (2013) (1301)
Improving Word Representations via Global Context and Multiple Word Prototypes (2012) (1243)
Map-Reduce for Machine Learning on Multicore (2006) (1161)
Unsupervised feature learning for audio classification using convolutional deep belief networks (2009) (1143)
Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis (2011) (1104)
Learning Depth from Single Monocular Images (2005) (1073)
Sparse deep belief net model for visual area V2 (2007) (1066)
Make3D: Learning 3D Scene Structure from a Single Still Image (1026)
Robotic Grasping of Novel Objects using Vision (2008) (973)
On optimization methods for deep learning (2011) (957)
Parsing with Compositional Vector Grammars (2013) (945)
Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection (2011) (932)
End-to-end text recognition with convolutional neural networks (2012) (869)
Grounded Compositional Semantics for Finding and Describing Images with Sentences (2014) (833)
Learning Syntactic Patterns for Automatic Hypernym Discovery (2004) (823)
Simultaneous Localization and Mapping with Sparse Extended Information Filters (2004) (772)
Deep learning with COTS HPC systems (2013) (719)
Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists (2018) (701)
Learning 3-D Scene Structure from a Single Still Image (2007) (695)
Large-scale deep unsupervised learning using graphics processors (2009) (691)
An Application of Reinforcement Learning to Aerobatic Helicopter Flight (2006) (660)
3-D Depth Reconstruction from a Single Still Image (2007) (647)
Learning Feature Representations with K-Means (2012) (639)
Convolutional-Recursive Deep Learning for 3D Object Classification (2012) (629)
A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes (1999) (625)
The Importance of Encoding Versus Training with Sparse Coding and Vector Quantization (2011) (618)
Autonomous Helicopter Aerobatics through Apprenticeship Learning (2010) (608)
Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks (2017) (607)
Autonomous Inverted Helicopter Flight via Reinforcement Learning (2004) (590)
Adaptive Control Processes (2010) (586)
Semantic Taxonomy Induction from Heterogenous Evidence (2006) (547)
An Empirical Evaluation of Deep Learning on Highway Driving (2015) (545)
PEGASUS: A policy search method for large MDPs and POMDPs (2000) (494)
High speed obstacle avoidance using monocular vision and reinforcement learning (2005) (447)
Measuring Invariances in Deep Networks (2009) (442)
End-to-End People Detection in Crowded Scenes (2015) (432)
Discriminative learning of Markov random fields for segmentation of 3D scan data (2005) (427)
Text Detection and Character Recognition in Scene Images with Unsupervised Feature Learning (2011) (423)
On Random Weights and Unsupervised Feature Learning (2011) (417)
Efficient L1 Regularized Logistic Regression (2006) (403)
Tuned Models of Peer Assessment in MOOCs (2013) (377)
Unsupervised learning of hierarchical representations with convolutional deep belief networks (2011) (371)
Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet (2018) (360)
Autonomous Helicopter Flight via Reinforcement Learning (2003) (359)
ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning (2011) (354)
Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring (2016) (352)
Energy Disaggregation via Discriminative Sparse Coding (2010) (350)
Online and batch learning of pseudo-metrics (2004) (349)
Recurrent Neural Networks for Noise Reduction in Robust ASR (2012) (336)
Tiled convolutional neural networks (2010) (336)
Constructing informative priors using transfer learning (2006) (330)
Learning Continuous Phrase Representations and Syntactic Parsing with Recursive Neural Networks (2010) (325)
Stable algorithms for link analysis (2001) (310)
Improving palliative care with deep learning (2017) (304)
Shift-Invariance Sparse Coding for Audio Classification (2007) (277)
Near-Bayesian exploration in polynomial time (2009) (269)
Learning for control from multiple demonstrations (2008) (266)
Exploration and apprenticeship learning in reinforcement learning (2005) (262)
Link Analysis, Eigenvectors and Stability (2001) (253)
A Dynamic Bayesian Network Model for Autonomous 3D Reconstruction from a Single Indoor Image (2006) (245)
Depth Estimation Using Monocular and Stereo Cues (2007) (244)
Using inaccurate models in reinforcement learning (2006) (243)
Classification with Hybrid Generative/Discriminative Models (2003) (235)
Selecting Receptive Fields in Deep Networks (2011) (232)
Simultaneous Mapping and Localization with Sparse Extended Information Filters: Theory and Initial Results (2004) (229)
Preventing "Overfitting" of Cross-Validation Data (1997) (223)
Regularization and feature selection in least-squares temporal difference learning (2009) (221)
Transfer learning for text classification (2005) (215)
An Information-Theoretic Analysis of Hard and Soft Assignment Methods for Clustering (1997) (211)
An Experimental and Theoretical Comparison of Model Selection Methods (1995) (209)
MURA: Large Dataset for Abnormality Detection in Musculoskeletal Radiographs. (2017) (199)
Contextual search and name disambiguation in email using graphs (2006) (196)
A control architecture for quadruped locomotion over rough terrain (2008) (195)
Data Noising as Smoothing in Neural Network Language Models (2017) (195)
Approximate Planning in Large POMDPs via Reusable Trajectories (1999) (189)
Policy Search by Dynamic Programming (2003) (174)
Learning Deep Energy Models (2011) (172)
Learning Grasp Strategies with Partial Shape Information (2008) (172)
Robust Textual Inference via Graph Matching (2005) (171)
From uncertainty to belief: inferring the specification within (2006) (170)
Deep Learning of Invariant Features via Simulated Fixations in Video (2012) (169)
On Feature Selection: Learning with Exponentially Many Irrelevant Features as Training Examples (1998) (166)
Learning Factor Graphs in Polynomial Time and Sample Complexity (2006) (165)
Robotic Grasping of Novel Objects (2006) (164)
Reactive grasping using optical proximity sensors (2009) (160)
Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion (2007) (157)
First-Pass Large Vocabulary Continuous Speech Recognition using Bi-Directional Recurrent DNNs (2014) (147)
Solving the Problem of Cascading Errors: Approximate Bayesian Inference for Linguistic Annotation Pipelines (2006) (145)
Discriminative Training of Kalman Filters (2005) (138)
Lexicon-Free Conversational Speech Recognition with Neural Networks (2015) (138)
Apprenticeship learning for motion planning with application to parking lot navigation (2008) (135)
Deep Learning–Assisted Diagnosis of Cerebral Aneurysms Using the HeadXNet Model (2019) (133)
Grasping novel objects with depth segmentation (2010) (131)
Neural Language Correction with Character-Based Attention (2016) (131)
Bayesian estimation for autonomous object manipulation based on tactile sensors (2006) (130)
Fast Gaussian Process Regression using KD-Trees (2005) (130)
NGBoost: Natural Gradient Boosting for Probabilistic Prediction (2019) (129)
Automatic Single-Image 3d Reconstructions of Indoor Manhattan World Scenes (2007) (120)
Learning to Merge Word Senses (2007) (119)
Learning to grasp objects with multiple contact points (2010) (118)
Learning to open new doors (2010) (114)
MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models (2020) (111)
Integrating Visual and Range Data for Robotic Object Detection (2008) (109)
High-accuracy 3D sensing for mobile manipulation: Improving object detection and door opening (2009) (109)
Efficient multiple hyperparameter learning for log-linear models (2007) (107)
Shaping and policy search in reinforcement learning (2003) (106)
CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT (2020) (104)
Grasping with application to an autonomous checkout robot (2011) (100)
Learning random walk models for inducing word dependency distributions (2004) (99)
Apprenticeship learning for helicopter control (2009) (98)
Learning to Grasp Novel Objects Using Vision (2006) (96)
The Stanford LittleDog: A learning and rapid replanning approach to quadruped locomotion (2011) (95)
Building DNN acoustic models for large vocabulary speech recognition (2014) (93)
Impact of a deep learning assistant on the histopathologic classification of liver cancer (2020) (91)
Noising and Denoising Natural Language: Diverse Backtranslation for Grammar Correction (2018) (89)
Peripheral-Foveal Vision for Real-time Object Recognition and Tracking in Video (2007) (89)
Exponential Family Sparse Coding with Application to Self-taught Learning (2009) (89)
A low-cost compliant 7-DOF robotic manipulator (2011) (87)
Learning vehicular dynamics, with application to modeling helicopters (2005) (87)
STAIR: Hardware and Software Architecture (2007) (86)
Robust Textual Inference Via Learning and Abductive Reasoning (2005) (83)
Probabilistic Mobile Manipulation in Dynamic Environments, with Application to Opening Doors (2007) (83)
Learning 3-D object orientation from images (2009) (80)
Make3D: Depth Perception from a Single Still Image (2008) (78)
Speech Is 3x Faster than Typing for English and Mandarin Text Entry on Mobile Devices (2016) (78)
Autonomous Autorotation of an RC Helicopter (2008) (71)
A probabilistic approach to mixed open-loop and closed-loop control, with application to extreme autonomous driving (2010) (68)
Policy search via the signed derivative (2009) (68)
Emergence of Object-Selective Features in Unsupervised Feature Learning (2012) (67)
Stereo vision and terrain modeling for quadruped robots (2009) (66)
Solving Uncertain Markov Decision Processes (2001) (64)
Learning sound location from a single microphone (2009) (63)
Comparing Speech and Keyboard Text Entry for Short Messages in Two Languages on Touchscreen Phones (2018) (62)
CheXtransfer: performance and parameter efficiency of ImageNet models for chest X-Ray interpretation (2021) (62)
Learning New Facts From Knowledge Bases With Neural Tensor Networks and Semantic Word Vectors (2013) (61)
Unsupervised learning models of primary cortical receptive fields and receptive field plasticity (2011) (59)
Quadruped robot obstacle negotiation via reinforcement learning (2006) (59)
Online Bounds for Bayesian Algorithms (2004) (57)
Spam Deobfuscation using a Hidden Markov Model (2005) (56)
AppendiXNet: Deep Learning for Diagnosis of Appendicitis from A Small Dataset of CT Exams Using Video Pretraining (2020) (55)
Task-space trajectories via cubic spline optimization (2009) (55)
Scalable learning for object detection with GPU hardware (2009) (54)
PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging (2020) (52)
Mechatronic design of an integrated robotic hand (2014) (51)
Joint calibration of multiple sensors (2009) (50)
Hierarchical Bayesian Models for Applications in Information Retrieval (2003) (50)
A Vision-Based System for Grasping Novel Objects in Cluttered Environments (2007) (50)
MURA Dataset: Towards Radiologist-Level Abnormality Detection in Musculoskeletal Radiographs (2017) (49)
A Probabilistic Model for Semantic Word Vectors (2010) (47)
Robust Textual Inference using Diverse Knowledge Sources (2005) (47)
Ambulatory Atrial Fibrillation Monitoring Using Wearable Photoplethysmography with Deep Learning (2018) (46)
Low-cost accelerometers for robotic manipulator perception (2010) (45)
CheXaid: deep learning assistance for physician diagnosis of tuberculosis using chest x-rays in patients with HIV (2020) (45)
Autonomous sign reading for semantic mapping (2011) (44)
Area Under Curve (2020) (42)
CheXpedition: Investigating Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting (2020) (42)
Multi-camera object detection for robotics (2010) (42)
MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation (2021) (41)
Learning first-order Markov models for control (2004) (41)
Policy Search via Density Estimation (1999) (39)
A Fast Data Collection and Augmentation Procedure for Object Recognition (2008) (38)
Autonomous operation of novel elevators for robot navigation (2010) (38)
On Local Rewards and Scaling Distributed Reinforcement Learning (2005) (37)
Self-taught learning (2009) (37)
Impact of a deep learning assistant on the histopathologic classification of liver cancer. (2020) (36)
Offering Verified Credentials in Massive Open Online Courses: MOOCs and technology to advance learning and learning research (Ubiquity symposium) (2014) (36)
Countdown Regression: Sharp and Calibrated Survival Predictions (2018) (35)
RadGraph: Extracting Clinical Entities and Relations from Radiology Reports (2021) (35)
Touch Based Perception for Object Manipulation (2007) (34)
Deep learning for class-generic object detection (2013) (34)
3-D Reconstruction from Sparse Views using Monocular Vision (2007) (33)
Clinical Value of Predicting Individual Treatment Effects for Intensive Blood Pressure Therapy: A Machine Learning Experiment to Estimate Treatment Effects from Randomized Trial Data (2019) (31)
Word-level Acoustic Modeling with Convolutional Vector Regression (2012) (31)
Learning omnidirectional path following using dimensionality reduction (2007) (30)
groupTime: preference based group scheduling (2006) (29)
Transfer learning by constructing informative priors (2005) (28)
Automated coronary calcium scoring using deep learning with multicenter external validation (2021) (28)
Inverse Reinforcement Learning (2017) (27)
Benchmarking saliency methods for chest X-ray interpretation (2022) (27)
A Factor Graph Model for Software Bug Finding (2007) (26)
A Steiner tree approach to efficient object detection (2010) (25)
Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands (2021) (25)
Stable adaptive control with online learning (2004) (24)
Autonomous Helicopter Tracking and Localization Using a Self-surveying Camera Array (2007) (24)
A majorization-minimization algorithm for (multiple) hyperparameter learning (2009) (23)
Expert-level detection of pathologies from unannotated chest X-ray images via self-supervised learning (2022) (23)
Evaluation of a Machine Learning Model Based on Pretreatment Symptoms and Electroencephalographic Features to Predict Outcomes of Antidepressant Treatment in Adults With Depression (2020) (22)
Monocular depth perception and robotic grasping of novel objects (2009) (22)
Have we met? MDP based speaker ID for robot dialogue (2006) (21)
Convergence rates of the Voting Gibbs classifier, with application to Bayesian feature selection (2001) (21)
Space-indexed dynamic programming: learning to follow trajectories (2008) (21)
Effective Data Fusion with Generalized Vegetation Index: Evidence from Land Cover Segmentation in Agriculture (2020) (21)
Increasing Deep Neural Network Acoustic Model Size for Large Vocabulary Continuous Speech Recognition (2014) (19)
Breast Density Scoring with Multiscale Denoising Autoencoders (2012) (19)
RECURRENT NEURAL NETWORK FEATURE ENHANCEMENT: THE 2nd CHIME CHALLENGE (2013) (19)
ForestNet: Classifying Drivers of Deforestation in Indonesia using Deep Learning on Satellite Imagery (2020) (18)
Deep learning saliency maps do not accurately highlight diagnostically relevant regions for medical image interpretation (2021) (18)
Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments (2020) (17)
Publisher Correction: Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network (2019) (17)
The 1st Agriculture-Vision Challenge: Methods and Results (2020) (16)
Evaluating the Disentanglement of Deep Generative Models through Manifold Topology (2020) (16)
Autonomous Helicopter Flight Using Reinforcement Learning (2010) (15)
Approximate Inference A lgorithms for Two-Layer Bayesian Networks (1999) (14)
Applying Online Search Techniques to Continuous-State Reinforcement Learning (1998) (14)
Learning Factor Graphs in Polynomial Time & Sample Complexity (2005) (13)
Retrieval-Based Chest X-Ray Report Generation Using a Pre-trained Contrastive Language-Image Model (2021) (13)
CheXaid: deep learning assistance for physician diagnosis of tuberculosis using chest x-rays in patients with HIV. (2020) (13)
3KG: Contrastive Learning of 12-Lead Electrocardiograms using Physiologically-Inspired Augmentations (2021) (13)
CheXphoto: 10, 000+ Smartphone Photos and Synthetic Photographic Transformations of Chest X-rays for Benchmarking Deep Learning Robustness (2020) (13)
CheXphoto: 10, 000+ Photos and Transformations of Chest X-rays for Benchmarking Deep Learning Robustness (2020) (12)
Deep Learning for the Digital Pathologic Diagnosis of Cholangiocarcinoma and Hepatocellular Carcinoma: Evaluating the Impact of a Web-based Diagnostic Assistant (2019) (12)
i23 - Rapid Interactive 3D Reconstruction from a Single Image (2009) (12)
The online revolution: education for everyone (2013) (12)
Deep learning assistance for the histopathologic diagnosis of Helicobacter pylori (2020) (11)
VisualCheXbert: addressing the discrepancy between radiology report labels and image labels (2021) (11)
The Online Revolution: Education at Scale (2012) (11)
Improving Hospital Readmission Prediction using Individualized Utility Analysis (2020) (11)
Multi-Dimensional Sentiment Analysis with Learned Representations (2012) (11)
Contrastive learning of heart and lung sounds for label-efficient diagnosis (2021) (11)
PENet-a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. (2020) (11)
Nasopharyngeal metabolomics and machine learning approach for the diagnosis of influenza (2021) (11)
Neural Text Style Transfer via Denoising and Reranking (2019) (10)
Reinforcement Learning and Apprenticeship Learning for Robotic Control (2006) (10)
Q-Pain: A Question Answering Dataset to Measure Social Bias in Pain Management (2021) (10)
Active Perception : Interactive Manipulation for Improvin g Object Detection (2010) (10)
Evaluating Progress in Automatic Chest X-Ray Radiology Report Generation (2022) (7)
CheXternal: generalization of deep learning models for chest X-ray interpretation to photos of chest X-rays and external clinical settings (2021) (7)
Development and Validation of an Artificial Intelligence System to Optimize Clinician Review of Patient Records (2021) (7)
Data augmentation with Mobius transformations (2020) (7)
CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation (2021) (7)
DLBCL-Morph: Morphological features computed using deep learning for an annotated digital DLBCL image set (2020) (7)
A Graphical Framework for Contextual Search and Name Disambiguation in Email (2006) (6)
OGNet: Towards a Global Oil and Gas Infrastructure Database using Deep Learning on Remotely Sensed Imagery (2020) (6)
Driverseat: Crowdstrapping Learning Tasks for Autonomous Driving (2015) (5)
Time Complexity of Sensor-Based Vehicle Routing (2005) (5)
Semantic taxonomy induction (2009) (4)
Optimal Feature Extraction based Machine Learning Approach for Sarcasm Type Detection in News Headlines (2020) (4)
Predicting Inpatient Discharge Prioritization With Electronic Health Records (2018) (4)
Short-Term Solar Irradiance Forecasting Using Calibrated Probabilistic Models (2020) (4)
Marked crosswalks in US transit-oriented station areas, 2007–2020: A computer vision approach using street view imagery (2022) (4)
CheXseen: Unseen Disease Detection for Deep Learning Interpretation of Chest X-rays (2021) (4)
RECURRENT NEURAL NETWORK FEATURE ENHANCEMENT : THE 2 nd CHIME CHALLENGE (2013) (4)
STAIR: The STanford Artificial Intelligence Robot project (2008) (4)
CheXphotogenic: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays (2020) (3)
MedSelect: Selective Labeling for Medical Image Classification Combining Meta-Learning with Deep Reinforcement Learning (2021) (3)
CheXtransfer (3)
CheXbreak: Misclassification Identification for Deep Learning Models Interpreting Chest X-rays (2021) (2)
Unseen Disease Detection for Deep Learning Interpretation of Chest X-rays (2021) (2)
Simultaneous and Mapping With Sparse Extended Information (2014) (2)
Automatic Hilghter of Lengthy Legal Documents (2015) (2)
Guest editorial: Special issue on robot learning, Part A (2009) (2)
Portable GPS Baseband Logging (2007) (2)
Effect of Radiology Report Labeler Quality on Deep Learning Models for Chest X-Ray Interpretation (2021) (2)
Deep Learning: What's Next (2016) (2)
Exploring the Utility of ResearchCyc for Reasoning from Natural Language (2006) (2)
Learning Neighborhood Representation from Multi-Modal Multi-Graph: Image, Text, Mobility Graph and Beyond (2021) (2)
CheXED: Comparison of a Deep Learning Model to a Clinical Decision Support System for Pneumonia in the Emergency Department. (2021) (1)
Deep Learning-Based Sparse Whole-Slide Image Analysis for the Diagnosis of Gastric Intestinal Metaplasia (2022) (1)
Author Correction: PENet-a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. (2020) (1)
Transfer learning enables prediction of myocardial injury from continuous single-lead electrocardiography (2022) (1)
VisualCheXbert (1)
Rapid Interactive 3 D Reconstruction from a Single Still Image (2008) (1)
Unsupervised Learning of Multimodal Features : Images and Text (2010) (1)
Deep learning-based Helicobacter pylori detection: A diagnostic pathology study (2020) (1)
CheXternal (1)
GloFlow: Global Image Alignment for Creation of Whole Slide Images for Pathology from Video (2020) (1)
Guest editorial: Special issue on robot learning, Part B (2009) (1)
PD60-05 AUTOMATED DETECTION OF PROSTATE CANCER ON MULTIPARAMETRIC MRI USING DEEP NEURAL NETWORKS TRAINED ON SPATIAL COORDINATES AND PATHOLOGY OF BIOPSY CORES (2019) (1)
Covering the Egonet: A Crowdsourcing Approach to Social Circle Discovery on Twitter (2015) (0)
Publisher Correction: Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network (2019) (0)
FLUXNET Methane Synthesis: Modeling Wetland Methane Fluxes from Sites to the Globe (2019) (0)
The online revolution: education for everyone (2013) (0)
Recursive Deep Learning on 3D Point Clouds (2012) (0)
Recurrent Neural Networks for Signal Denoising in Robust ASR (2012) (0)
Low-Cost Manipulation Powered by ROS (2010) (0)
Discovery of Deep Structure from Unlabeled Data (2014) (0)
330 DEVELOPMENT AND VALIDATION OF AN ARTIFICIAL INTELLIGENCE SYSTEM TO OPTIMIZE CLINICIAN REVIEW OF PATIENT RECORDS (2021) (0)
CheXED (2021) (0)
MedSelect: Selective Labeling for Medical Image Classification Using Meta-Learning (2022) (0)
GloFlow: Whole Slide Image Stitching from Video Using Optical Flow and Global Image Alignment (2021) (0)
AppendiXNet: Deep Learning for Diagnosis of Appendicitis from A Small Dataset of CT Exams Using Video Pretraining (2020) (0)
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network (2019) (0)
Inverse Resolution (2010) (0)
Part XIII Reinforcement Learning and Control (2019) (0)
Discriminative structured models for biological sequence analysis (2009) (0)
Scaling Up Machine Learning: Large-Scale Learning for Vision with GPUs (2011) (0)
Synthesizing Object-Background Data for Large 3-d Datasets (2008) (0)
Unsupervised Learning of Hierarchical Dependency Parsing 1 Very (2008) (0)
Author Correction: PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging (2020) (0)
METER-ML: A Multi-Sensor Earth Observation Benchmark for Automated Methane Source Mapping (2022) (0)
Deep learning-based Helicobacter pylori detection for histopathology: A diagnostic study (2020) (0)
Approximate Dynamic Programming (2011) (0)
Detecting Neighborhood Gentrification at Scale via Street-level Visual Data (2022) (0)
An Approach to Discovery and Re-ranking of Educational content from the World Wide Web using Latent Dirichlet Allocation (2017) (0)
Improving debris flow evacuation alerts in Taiwan using machine learning (2022) (0)
DLBCL-Morph: Morphological features computed using deep learning for an annotated digital DLBCL image set (2021) (0)

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