Jimeng Sun
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Jimeng Suncomputer-science Degrees
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Computer Science
Jimeng Sun's Degrees
- PhD Computer Science Stanford University
- Masters Computer Science Stanford University
- Bachelors Computer Science Tsinghua University
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Why Is Jimeng Sun Influential?
(Suggest an Edit or Addition)Jimeng Sun'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
- Social influence analysis in large-scale networks (2009) (958)
- RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism (2016) (853)
- GraphScope: parameter-free mining of large time-evolving graphs (2007) (639)
- Using recurrent neural network models for early detection of heart failure onset (2016) (607)
- SUSTain (2018) (558)
- The TPR*-Tree: An Optimized Spatio-Temporal Access Method for Predictive Queries (2003) (548)
- Beyond streams and graphs: dynamic tensor analysis (2006) (512)
- GRAM: Graph-based Attention Model for Healthcare Representation Learning (2016) (471)
- Multi-layer Representation Learning for Medical Concepts (2016) (426)
- Streaming Pattern Discovery in Multiple Time-Series (2005) (422)
- Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review (2018) (415)
- Temporal recommendation on graphs via long- and short-term preference fusion (2010) (395)
- Explainable Prediction of Medical Codes from Clinical Text (2018) (391)
- Neighborhood formation and anomaly detection in bipartite graphs (2005) (366)
- Scalable Tensor Decompositions for Multi-aspect Data Mining (2008) (364)
- Generating Multi-label Discrete Patient Records using Generative Adversarial Networks (2017) (348)
- Cross-domain collaboration recommendation (2012) (287)
- Incremental tensor analysis: Theory and applications (2008) (259)
- MetaFac: community discovery via relational hypergraph factorization (2009) (243)
- DisCo: Distributed Co-clustering with Map-Reduce: A Case Study towards Petabyte-Scale End-to-End Mining (2008) (233)
- Marble: high-throughput phenotyping from electronic health records via sparse nonnegative tensor factorization (2014) (225)
- A Survey of Models and Algorithms for Social Influence Analysis (2011) (220)
- Publishing data from electronic health records while preserving privacy: A survey of algorithms (2014) (178)
- RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records (2018) (178)
- Opportunities and Challenges in Deep Learning Methods on Electrocardiogram Data: A Systematic Review (2019) (174)
- Rubik: Knowledge Guided Tensor Factorization and Completion for Health Data Analytics (2015) (167)
- Survey on distance metric learning and dimensionality reduction in data mining (2015) (162)
- MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare (2018) (159)
- Limestone: High-throughput candidate phenotype generation via tensor factorization (2014) (153)
- FacetAtlas: Multifaceted Visualization for Rich Text Corpora (2010) (150)
- Pre-training of Graph Augmented Transformers for Medication Recommendation (2019) (146)
- Supervised patient similarity measure of heterogeneous patient records (2012) (144)
- DeepPurpose: a deep learning library for drug–target interaction prediction (2020) (139)
- Centralities in Large Networks: Algorithms and Observations (2011) (135)
- Confluence: conformity influence in large social networks (2013) (132)
- DICON: Interactive Visual Analysis of Multidimensional Clusters (2011) (131)
- GBASE: a scalable and general graph management system (2011) (128)
- Bayesian Tensor Approach for 3-D Face Modeling (2008) (127)
- GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination (2018) (127)
- Colibri: fast mining of large static and dynamic graphs (2008) (126)
- Less is More: Compact Matrix Decomposition for Large Sparse Graphs (2007) (124)
- Medical Concept Representation Learning from Electronic Health Records and its Application on Heart Failure Prediction (2016) (123)
- Time-Sensitive Recommendation From Recurrent User Activities (2015) (120)
- Automatic identification of heart failure diagnostic criteria, using text analysis of clinical notes from electronic health records (2014) (115)
- Dynamic Mixture Models for Multiple Time-Series (2007) (114)
- Querying about the past, the present, and the future in spatio-temporal databases (2004) (110)
- RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data (2018) (109)
- Fast Random Walk Graph Kernel (2012) (109)
- PARAMO: A PARAllel predictive MOdeling platform for healthcare analytic research using electronic health records (2014) (108)
- SLEEPNET: Automated Sleep Staging System via Deep Learning (2017) (105)
- SmallBlue: Social Network Analysis for Expertise Search and Collective Intelligence (2009) (104)
- MultiVis: Content-Based Social Network Exploration through Multi-way Visual Analysis (2009) (102)
- Quantitative Study of Individual Emotional States in Social Networks (2012) (99)
- Local Correlation Tracking in Time Series (2006) (98)
- Big data analytics for healthcare (2013) (96)
- Towards heterogeneous temporal clinical event pattern discovery: a convolutional approach (2012) (93)
- LEAP: Learning to Prescribe Effective and Safe Treatment Combinations for Multimorbidity (2017) (93)
- Combining Knowledge and Data Driven Insights for Identifying Risk Factors using Electronic Health Records (2012) (92)
- Social action tracking via noise tolerant time-varying factor graphs (2010) (92)
- Hiding in the Crowd: Privacy Preservation on Evolving Streams through Correlation Tracking (2007) (92)
- Hierarchical Reinforcement Learning for Course Recommendation in MOOCs (2019) (91)
- Window-based Tensor Analysis on High-dimensional and Multi-aspect Streams (2006) (88)
- Predicting Patient's Trajectory of Physiological Data using Temporal Trends in Similar Patients: A System for Near-Term Prognostics. (2010) (85)
- MatrixFlow: Temporal Network Visual Analytics to Track Symptom Evolution during Disease Progression (2012) (85)
- Constructing Disease Network and Temporal Progression Model via Context-Sensitive Hawkes Process (2015) (84)
- A Framework for Mining Signatures from Event Sequences and Its Applications in Healthcare Data (2013) (83)
- Clinical phenotyping in selected national networks: demonstrating the need for high-throughput, portable, and computational methods (2016) (83)
- Less is More: Sparse Graph Mining with Compact Matrix Decomposition (2008) (81)
- Relevance search and anomaly detection in bipartite graphs (2005) (78)
- MolTrans: Molecular Interaction Transformer for drug–target interaction prediction (2020) (77)
- Federated Tensor Factorization for Computational Phenotyping (2017) (73)
- Patent partner recommendation in enterprise social networks (2013) (72)
- Analysis of predictive spatio-temporal queries (2003) (70)
- Hierarchical, Parameter-Free Community Discovery (2008) (69)
- HiCOO: Hierarchical Storage of Sparse Tensors (2018) (68)
- Selectivity estimation for predictive spatio-temporal queries (2003) (67)
- Predicting changes in hypertension control using electronic health records from a chronic disease management program (2014) (67)
- Generating Multi-label Discrete Electronic Health Records using Generative Adversarial Networks (2017) (64)
- gbase: an efficient analysis platform for large graphs (2012) (64)
- Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development (2021) (64)
- An input-adaptive and in-place approach to dense tensor-times-matrix multiply (2015) (63)
- SPARTan: Scalable PARAFAC2 for Large & Sparse Data (2017) (61)
- CASTER: Predicting Drug Interactions with Chemical Substructure Representation (2019) (60)
- The Troll-Trust Model for Ranking in Signed Networks (2016) (58)
- SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates (2020) (57)
- Visual cluster analysis in support of clinical decision intelligence. (2011) (54)
- SkipGNN: predicting molecular interactions with skip-graph networks (2020) (53)
- MoodCast: Emotion Prediction via Dynamic Continuous Factor Graph Model (2010) (52)
- Model-Driven Sparse CP Decomposition for Higher-Order Tensors (2017) (51)
- Community Discovery via Metagraph Factorization (2011) (50)
- Building bridges across electronic health record systems through inferred phenotypic topics (2015) (50)
- HiMap: Adaptive visualization of large-scale online social networks (2009) (50)
- MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals (2019) (49)
- PSF: A Unified Patient Similarity Evaluation Framework Through Metric Learning With Weak Supervision (2015) (46)
- Two heads better than one: pattern discovery in time-evolving multi-aspect data (2008) (46)
- Medical prognosis based on patient similarity and expert feedback (2012) (45)
- A System for Mining Temporal Physiological Data Streams for Advanced Prognostic Decision Support (2010) (44)
- Dynamic Social Influence Analysis through Time-Dependent Factor Graphs (2011) (44)
- Localized Supervised Metric Learning on Temporal Physiological Data (2010) (43)
- Integrating Distance Metrics Learned from Multiple Experts and its Application in Inter-Patient Similarity Assessment (2011) (41)
- Sparse Hierarchical Tucker Factorization and Its Application to Healthcare (2015) (41)
- CORE: Automatic Molecule Optimization Using Copy & Refine Strategy (2019) (40)
- SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization (2020) (40)
- ICDA: A Platform for Intelligent Care Delivery Analytics (2012) (40)
- StageNet: Stage-Aware Neural Networks for Health Risk Prediction (2020) (39)
- A Healthcare Utilization Analysis Framework for Hot Spotting and Contextual Anomaly Detection (2012) (37)
- SympGraph: a framework for mining clinical notes through symptom relation graphs (2012) (36)
- SolarMap: Multifaceted Visual Analytics for Topic Exploration (2011) (35)
- STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths (2020) (35)
- HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units (2020) (35)
- Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics (2021) (35)
- FeaFiner: biomarker identification from medical data through feature generalization and selection (2013) (34)
- FLASH: Fast Bayesian Optimization for Data Analytic Pipelines (2016) (33)
- STAN: Spatio-Temporal Attention Network for Pandemic Prediction Using Real World Evidence (2020) (33)
- MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization (2020) (32)
- Patient Risk Prediction Model via Top-k Stability Selection (2013) (32)
- Differentiable Scaffolding Tree for Molecular Optimization (2021) (31)
- Causal Regularization (2017) (31)
- Clinical Predictive Modeling Development and Deployment through FHIR Web Services (2015) (31)
- Two Heads Better Than One: Metric+Active Learning and its Applications for IT Service Classification (2009) (30)
- InteMon: continuous mining of sensor data in large-scale self-infrastructures (2006) (29)
- ContexTour: Contextual Contour Visual Analysis on Dynamic Multi- Relational Clustering (2010) (28)
- Distributed Pattern Discovery in Multiple Streams (2006) (28)
- ContexTour: Contextual Contour Analysis on Dynamic Multi-relational Clustering (2010) (27)
- StructInf: Mining Structural Influence from Social Streams (2017) (27)
- Granite: Diversified, Sparse Tensor Factorization for Electronic Health Record-Based Phenotyping (2017) (27)
- Mining Electronic Medical Records to Explore the Linkage between Healthcare Resource Utilization and Disease Severity in Diabetic Patients (2011) (27)
- Composite distance metric integration by leveraging multiple experts' inputs and its application in patient similarity assessment (2012) (27)
- MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design (2022) (27)
- CarePre: An Intelligent Clinical Decision Assistance System (2018) (27)
- SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection (2020) (26)
- Pay Attention to Evolution: Time Series Forecasting With Deep Graph-Evolution Learning (2020) (26)
- DeepEnroll: Patient-Trial Matching with Deep Embedding and Entailment Prediction (2020) (26)
- Constraint based temporal event sequence mining for Glioblastoma survival prediction (2016) (25)
- COPA: Constrained PARAFAC2 for Sparse & Large Datasets (2018) (25)
- Indexing and Retrieval of Historical Aggregate Information about Moving Objects (2002) (25)
- SOR: Scalable Orthogonal Regression for Low-Redundancy Feature Selection and its Healthcare Applications (2012) (25)
- Optimizing sparse tensor times matrix on GPUs (2019) (24)
- InteMon: intelligent system monitoring on large clusters (2006) (24)
- iMet: Interactive Metric Learning in Healthcare Applications (2011) (23)
- Spatio-temporal join selectivity (2006) (22)
- STAN: spatio-temporal attention network for pandemic prediction using real-world evidence (2021) (22)
- Online latent variable detection in sensor networks (2005) (22)
- Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization (2022) (22)
- Mining large time-evolving data using matrix and tensor tools (2007) (22)
- COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matching (2020) (22)
- FLANNEL (Focal Loss bAsed Neural Network EnsembLe) for COVID-19 detection (2020) (22)
- Efficient and effective sparse tensor reordering (2019) (22)
- Automatic Group Sparse Coding (2011) (22)
- DDL: Deep Dictionary Learning for Predictive Phenotyping (2019) (21)
- Leveraging medical thesauri and physician feedback for improving medical literature retrieval for case queries (2012) (21)
- CONAN: Complementary Pattern Augmentation for Rare Disease Detection (2019) (21)
- Mining large graphs and streams using matrix and tensor tools (2007) (20)
- Dealer: An End-to-End Model Marketplace with Differential Privacy (2021) (20)
- Highly elevated polygenic risk scores are better predictors of myocardial infarction risk early in life than later (2021) (20)
- ELF: An Early-Exiting Framework for Long-Tailed Classification (2020) (20)
- Proceedings of the 2017 ACM on Conference on Information and Knowledge Management (2017) (20)
- SCOOP: Automated Social Recommendation in Enterprise Process Management (2008) (20)
- Cloud-based Predictive Modeling System and its Application to Asthma Readmission Prediction (2015) (20)
- Smart Jump: Automated Navigation Suggestion for Videos in MOOCs (2017) (19)
- Bayesian tensor analysis (2008) (19)
- TASTE: temporal and static tensor factorization for phenotyping electronic health records (2019) (19)
- Trends in biomedical informatics: automated topic analysis of JAMIA articles (2015) (18)
- Dimensionality Reduction and Forecasting on Streams (2007) (17)
- REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild (2020) (17)
- Clustered subset selection and its applications on it service metrics (2008) (17)
- Automated Annotation of Epileptiform Burden and Its Association with Outcomes (2021) (17)
- Probabilistic Tensor Analysis with Akaike and Bayesian Information Criteria (2007) (16)
- Artificial intelligence foundation for therapeutic science (2022) (16)
- Information technology for healthcare transformation (2011) (15)
- Probabilistic and Dynamic Molecule-Disease Interaction Modeling for Drug Discovery (2021) (15)
- Data and Analytics Challenges for a Learning Healthcare System (2015) (15)
- Case-based reasoning in comparative effectiveness research (2012) (15)
- SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping (2018) (15)
- SynTEG: a framework for temporal structured electronic health data simulation (2020) (15)
- #PrayForDad: Learning the Semantics Behind Why Social Media Users Disclose Health Information (2016) (14)
- DeepPurpose: a Deep Learning Based Drug Repurposing Toolkit (2020) (14)
- Extracting Phenotypes from Patient Claim Records Using Nonnegative Tensor Factorization (2014) (13)
- Multifaceted visual analytics for healthcare applications (2012) (13)
- SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules (2019) (13)
- Machine learning applications for therapeutic tasks with genomics data (2021) (12)
- Smile: A System to Support Machine Learning on EEG Data at Scale (2019) (12)
- Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment (2019) (12)
- HINT: Hierarchical interaction network for clinical-trial-outcome predictions (2022) (12)
- Dimensionality Reduction and Filtering on Time Series Sensor Streams (2013) (12)
- LogPar: Logistic PARAFAC2 Factorization for Temporal Binary Data with Missing Values (2020) (12)
- Scalable Latent Tree Model and its Application to Health Analytics (2017) (12)
- SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations (2021) (12)
- Phenotyping using Structured Collective Matrix Factorization of Multi--source EHR Data (2016) (12)
- Fast Graph Attention Networks Using Effective Resistance Based Graph Sparsification (2020) (12)
- Incorporating Social Context and Domain Knowledge for Entity Recognition (2015) (12)
- Models and algorithms for social influence analysis (2013) (11)
- UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data (2020) (11)
- EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders (2020) (11)
- SafeDrug: Dual Molecular Graph Encoders for Safe Drug Recommendations (2021) (11)
- Latent association analysis of document pairs (2012) (11)
- SurvTRACE: transformers for survival analysis with competing events (2021) (11)
- PyHealth: A Python Library for Health Predictive Models (2021) (10)
- Polyadic Regression and its Application to Chemogenomics (2017) (10)
- TransTab: Learning Transferable Tabular Transformers Across Tables (2022) (10)
- GENN: Predicting Correlated Drug-drug Interactions with Graph Energy Neural Networks (2019) (10)
- RAIM (2018) (9)
- Toward smarter healthcare: Anonymizing medical data to support research studies (2014) (9)
- Deep active learning for interictal ictal injury continuum EEG patterns (2021) (9)
- Rare Disease Detection by Sequence Modeling with Generative Adversarial Networks (2019) (9)
- Locally Valid and Discriminative Prediction Intervals for Deep Learning Models (2021) (9)
- Fusion: Towards Automated ICD Coding via Feature Compression (2021) (9)
- CUP: Cluster Pruning for Compressing Deep Neural Networks (2019) (9)
- CLARA: Clinical Report Auto-completion (2020) (9)
- Clinical Concept Extraction for Document-Level Coding (2019) (9)
- AIM-HI: A framework for request routing in large-scale IT global service delivery (2009) (8)
- STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization (2020) (8)
- Dr. Agent: Clinical predictive model via mimicked second opinions (2020) (8)
- SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors (2020) (7)
- PTM: probabilistic topic mapping model for mining parallel document collections (2010) (7)
- Change Matters: Medication Change Prediction with Recurrent Residual Networks (2021) (7)
- DiseaseAtlas: Multi-facet visual analytics for online disease articles (2010) (7)
- α-MOP: Molecule optimization with α-divergence (2020) (6)
- Self-supervised EEG Representation Learning for Automatic Sleep Staging (2021) (6)
- PEARL (2019) (6)
- Extracting community structure through relational hypergraphs (2009) (6)
- RDPD: Rich Data Helps Poor Data via Imitation (2018) (6)
- HAMLET: Interpretable Human And Machine co-LEarning Technique (2018) (6)
- Intelligent system monitoring on large clusters (2006) (6)
- MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization (2021) (6)
- Incremental pattern discovery on streams, graphs and tensors (2008) (6)
- Informatics methods in medical privacy (2014) (6)
- MolDesigner: Interactive Design of Efficacious Drugs with Deep Learning (2020) (6)
- PEARL: Prototype Learning via Rule Learning (2019) (5)
- Visualizing Accuracy to Improve Predictive Model Performance (2014) (5)
- CGNF: Conditional Graph Neural Fields (2018) (5)
- MTC: Multiresolution Tensor Completion from Partial and Coarse Observations (2021) (5)
- Introduction to Deep Learning for Healthcare (2021) (5)
- Recurrent Neural Networks (RNN) (2021) (5)
- Guaranteed Scalable Learning of Latent Tree Models (2014) (5)
- Clinical Utility of Machine Learning and Longitudinal EHR Data (2014) (5)
- Conformal Prediction with Temporal Quantile Adjustments (2022) (4)
- Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision (2022) (4)
- PAC-Bayes Information Bottleneck (2021) (4)
- Predicting Treatment Initiation from Clinical Time Series Data via Graph-Augmented Time-Sensitive Model (2019) (4)
- EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision (2020) (4)
- Tensor Analysis on Multi-aspect Streams (2007) (4)
- HEALTHCARE REPRESENTATION LEARNING (2017) (4)
- Medical Case-based Retrieval by Leveraging Medical Ontology and Physician Feedback: UIUC-IBM at ImageCLEF 2010 (2010) (4)
- AID: Active Distillation Machine to Leverage Pre-Trained Black-Box Models in Private Data Settings (2021) (3)
- Advances in Mining Heterogeneous Healthcare Data (2021) (3)
- Predicting Neurological Outcome in Comatose Patients after Cardiac Arrest with Multiscale Deep Neural Networks. (2021) (3)
- IEEE VisWeek Workshop on Visual Analytics in Health Care 2010 (2011) (3)
- SUOD: A Scalable Unsupervised Outlier Detection Framework (2020) (3)
- The United States COVID-19 Forecast Hub dataset (2022) (3)
- CarePre (2020) (3)
- Antibody Complementarity Determining Regions (CDRs) design using Constrained Energy Model (2022) (3)
- AWE: Asymmetric Word Embedding for Textual Entailment (2018) (2)
- Multi-version Tensor Completion for Time-delayed Spatio-temporal Data (2021) (2)
- ATD: Augmenting CP Tensor Decomposition by Self Supervision (2021) (2)
- CT2: Colorization Transformer via Color Tokens (2022) (2)
- Community Evolution and Change Point Detection in Time-Evolving Graphs (2010) (2)
- Tutorial: Data Mining Methods for Drug Discovery and Development (2019) (2)
- Clinical Report Auto-completion. (2020) (2)
- TASTE (2020) (2)
- SPEAR: self-supervised post-training enhancer for molecule optimization (2021) (2)
- Predicting Changes in Pediatric Medical Complexity using Large Longitudinal Health Records (2017) (2)
- ChronAtlas : A Visualization for Dynamic Topic Exploration (2011) (2)
- SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox Models (2021) (2)
- Neural Causal Regularization under the Independence of Mechanisms Assumption (2017) (2)
- Computational models for social influence analysis: [extended abstract] (2014) (2)
- Biomedical and Healthcare Analytics on Big Data (2013) (2)
- SIPF: Sampling Method for Inverse Protein Folding (2022) (1)
- PopNet: Real-Time Population-Level Disease Prediction with Data Latency (2022) (1)
- ViVA: Semi-supervised Visualization via Variational Autoencoders (2020) (1)
- JULIA: Joint Multi-linear and Nonlinear Identification for Tensor Completion (2022) (1)
- Locally Valid and Discriminative Confidence Intervals for Deep Learning Models (2021) (1)
- HINT: Hierarchical Interaction Network for Trial Outcome Prediction Leveraging Web Data (2021) (1)
- Reinforced Genetic Algorithm for Structure-based Drug Design (2022) (1)
- CHEER: Rich Model Helps Poor Model via Knowledge Infusion (2020) (1)
- Deep Neural Networks (DNN) (2021) (1)
- L G ] 1 1 A pr 2 01 7 Federated Tensor Factorization for Computational Phenotyping (2018) (1)
- Polyadic Regression and its Application to Chemogenomics-Supplementary Material Ioakeim Perros (2017) (1)
- A Visualization Tool for Navigation of Online Disease Literature (2010) (1)
- Clinical trial site matching with improved diversity using fair policy learning (2022) (1)
- Introduction (2021) (0)
- Patient trial matching using pseudo-siamese network. (2020) (0)
- Computational Phenotyping Methods (2016) (0)
- CLARA: Dynamic Doctor Representation Learning for Clinical Trial Recruitment (2020) (0)
- Convolutional Neural Networks (CNN) (2021) (0)
- Smile (2019) (0)
- Graph Neural Networks (2021) (0)
- Introduction to Special Issue on Large-Scale Data Mining (2011) (0)
- Dealer (2021) (0)
- Use of Clinical Phenotypes and Non-negative Tensor Factorization for Heart Failure Prediction (2017) (0)
- Discover Temporal Dynamics of Biomarkers in Predictive Modeling with Longitudinal Data (2013) (0)
- Health Data (2021) (0)
- Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks (2022) (0)
- Disease-Specific Risk Prediction through Stability Selection using Electronic Health Records (2012) (0)
- Big Data Analytics in Biomedicine and Health: Trends and Challenges (2013) (0)
- Augmented Tensor Decomposition with Stochastic Optimization (2021) (0)
- Abstract 14846: Artificial Intelligence and Clinical Stability After the Norwood Operation (2020) (0)
- Computational Phenotyping on Diverse Data Sources (2017) (0)
- Title Indexing and Retrieval of Historical Aggregate Information aboutMoving Objects (2007) (0)
- UniCoRN: A Unified Conditional Image Repainting Network (2022) (0)
- Session details: Industry/govt track c5: medical informatics (2012) (0)
- Information System for Mobile Immersive Learning Environment for Just-in-Time Learning in Public Health (2015) (0)
- Attention Models (2021) (0)
- DeepRite: Deep Recurrent Inverse TreatmEnt Weighting for Adjusting Time-varying Confounding in Modern Longitudinal Observational Data (2020) (0)
- Domain Adaptation for Medical Semantic Textual Similarity (2021) (0)
- PEARL: Prototype Learning via Rule Learning (2019) (0)
- Pearl: Prototype lEArning via Rule Lists (2018) (0)
- A Similarity-Driven Sequential Model for Predicting Medical Treatment Initiation via Graph Laplacian (2019) (0)
- EGULARIZATION UNDER THE I NDEPENDENCE OF M ECHANISMS A SSUMPTION (2017) (0)
- Title Scalable Latent Tree Model and its Application to Health Analytics Permalink (2015) (0)
- Augmented Tensor Decomposition with Stochastic Alternating Optimization (2021) (0)
- Data and Text Mining SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization (2021) (0)
- Machine Learning Basics (2021) (0)
- Generative Models (2021) (0)
- Synthesize Extremely High-dimensional Longitudinal Electronic Health Records via Hierarchical Autoregressive Language Model (2023) (0)
- Memory Networks (2021) (0)
- System Architecture of CDC I-SMILE Recommendation Engine (2015) (0)
- FeaFiner : Biomarker Identification Through Feature Generalization and Selections Supplemental Materials (2013) (0)
- Large scale network analysis workshop chairs' welcome message (lsna 2013) (2013) (0)
- GOCPT: Generalized Online Canonical Polyadic Tensor Factorization and Completion (2022) (0)
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