743 results on '"Jimeng Sun"'
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102. Locally Valid and Discriminative Prediction Intervals for Deep Learning Models.
103. AID: Active Distillation Machine to Leverage Pre-Trained Black-Box Models in Private Data Settings.
104. UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data.
105. Probabilistic and Dynamic Molecule-Disease Interaction Modeling for Drug Discovery.
106. MTC: Multiresolution Tensor Completion from Partial and Coarse Observations.
107. EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders.
108. SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations.
109. Multi-version Tensor Completion for Time-delayed Spatio-temporal Data.
110. Change Matters: Medication Change Prediction with Recurrent Residual Networks.
111. Fusion: Towards Automated ICD Coding via Feature Compression.
112. HAR: Hardness Aware Reweighting for Imbalanced Datasets.
113. CUP: Cluster Pruning for Compressing Deep Neural Networks.
114. SPEAR: self-supervised post-training enhancer for molecule optimization.
115. STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization.
116. SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors.
117. MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization.
118. Clinical Report Auto-completion.
119. StageNet: Stage-Aware Neural Networks for Health Risk Prediction.
120. Patient-Trial Matching with Deep Embedding and Entailment Prediction.
121. REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild.
122. STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths.
123. HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units.
124. LogPar: Logistic PARAFAC2 Factorization for Temporal Binary Data with Missing Values.
125. COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matching.
126. TASTE: temporal and static tensor factorization for phenotyping electronic health records.
127. α-MOP: Molecule optimization with α-divergence.
128. ViVA: Semi-supervised Visualization via Variational Autoencoders.
129. SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates.
130. CASTER: Predicting Drug Interactions with Chemical Substructure Representation.
131. CONAN: Complementary Pattern Augmentation for Rare Disease Detection.
132. CORE: Automatic Molecule Optimization Using Copy & Refine Strategy.
133. Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment.
134. Differentiable Scaffolding Tree for Molecule Optimization.
135. PAC-Bayes Information Bottleneck.
136. Conformal Prediction with Temporal Quantile Adjustments.
137. Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization.
138. TransTab: Learning Transferable Tabular Transformers Across Tables.
139. Reinforced Genetic Algorithm for Structure-based Drug Design.
140. ATD: Augmenting CP Tensor Decomposition by Self Supervision.
141. MolTrans: Molecular Interaction Transformer for drug-target interaction prediction.
142. SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization.
143. Dealer: An End-to-End Model Marketplace with Differential Privacy.
144. Demonstration of Dealer: An End-to-End Model Marketplace with Differential Privacy.
145. FLANNEL (Focal Loss bAsed Neural Network EnsembLe) for COVID-19 detection.
146. SynTEG: a framework for temporal structured electronic health data simulation.
147. STAN: spatio-temporal attention network for pandemic prediction using real-world evidence.
148. Clinical Concept Extraction for Document-Level Coding.
149. Longitudinal Adversarial Attack on Electronic Health Records Data.
150. EEGtoText: Learning to Write Medical Reports from EEG Recordings.
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