Lucas Glass

Orcid: 0000-0001-6613-5205

According to our database1, Lucas Glass authored at least 57 papers between 2019 and 2024.

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Bibliography

2024
FRAMM: Fair ranking with missing modalities for clinical trial site selection.
Patterns, March, 2024

TrialBench: Multi-Modal Artificial Intelligence-Ready Clinical Trial Datasets.
CoRR, 2024

Clinical Trial Retrieval via Multi-grained Similarity Learning.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

2023
Multi-faceted analysis and prediction for the outbreak of pediatric respiratory syncytial virus.
J. Am. Medical Informatics Assoc., December, 2023

Triple Simplex Matrix Completion for Expense Forecasting.
CoRR, 2023

DeCom: Deep Coupled-Factorization Machine for Post COVID-19 Respiratory Syncytial Virus Prediction with Nonpharmaceutical Interventions Awareness.
CoRR, 2023

Enrollment Rate Prediction in Clinical Trials based on CDF Sketching and Tensor Factorization tools.
Proceedings of the IEEE International Conference on Acoustics, 2023

pADR: Towards Personalized Adverse Drug Reaction Prediction by Modeling Multi-sourced Data.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

ClinicalRisk: A New Therapy-related Clinical Trial Dataset for Predicting Trial Status and Failure Reasons.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization.
IEEE Trans. Knowl. Data Eng., 2022

HINT: Hierarchical interaction network for clinical-trial-outcome predictions.
Patterns, 2022

Knowledge-Driven New Drug Recommendation.
CoRR, 2022

Artificial Intelligence for In Silico Clinical Trials: A Review.
CoRR, 2022

Clinical trial site matching with improved diversity using fair policy learning.
CoRR, 2022

JULIA: Joint Multi-linear and Nonlinear Identification for Tensor Completion.
CoRR, 2022

PopNet: Real-Time Population-Level Disease Prediction with Data Latency.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

AutoMap: Automatic Medical Code Mapping for Clinical Prediction Model Deployment.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Towards Federated COVID-19 Vaccine Side Effect Prediction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Machine learning applications for therapeutic tasks with genomics data.
Patterns, 2021

FLANNEL (Focal Loss bAsed Neural Network EnsembLe) for COVID-19 detection.
J. Am. Medical Informatics Assoc., 2021

STAN: spatio-temporal attention network for pandemic prediction using real-world evidence.
J. Am. Medical Informatics Assoc., 2021

SafeDrug: Dual Molecular Graph Encoders for Safe Drug Recommendations.
CoRR, 2021

HINT: Hierarchical Interaction Network for Trial Outcome Prediction Leveraging Web Data.
CoRR, 2021

PyHealth: A Python Library for Health Predictive Models.
CoRR, 2021

SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization.
Bioinform., 2021

MolTrans: Molecular Interaction Transformer for drug-target interaction prediction.
Bioinform., 2021

DeepPurpose: a deep learning library for drug-target interaction prediction.
Bioinform., 2021

UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Probabilistic and Dynamic Molecule-Disease Interaction Modeling for Drug Discovery.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Change Matters: Medication Change Prediction with Recurrent Residual Networks.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Multi-version Tensor Completion for Time-delayed Spatio-temporal Data.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

SPEAR: self-supervised post-training enhancer for molecule optimization.
Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

Fusion: Towards Automated ICD Coding via Feature Compression.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Dr. Agent: Clinical predictive model via mimicked second opinions.
J. Am. Medical Informatics Assoc., 2020

MolDesigner: Interactive Design of Efficacious Drugs with Deep Learning.
CoRR, 2020

Fast Graph Attention Networks Using Effective Resistance Based Graph Sparsification.
CoRR, 2020

SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks.
CoRR, 2020

DeepPurpose: a Deep Learning Based Drug Repurposing Toolkit.
CoRR, 2020

CLARA: Clinical Report Auto-completion.
CoRR, 2020

DeepEnroll: Patient-Trial Matching with Deep Embedding and Entailment Prediction.
CoRR, 2020

Influence of medical domain knowledge on deep learning for Alzheimer's disease prediction.
Comput. Methods Programs Biomed., 2020

Patient-Trial Matching with Deep Embedding and Entailment Prediction.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

StageNet: Stage-Aware Neural Networks for Health Risk Prediction.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Clinical Report Auto-completion.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matching.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

α-MOP: Molecule optimization with α-divergence.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

CASTER: Predicting Drug Interactions with Chemical Substructure Representation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

CONAN: Complementary Pattern Augmentation for Rare Disease Detection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Time-to-event estimation by re-defining time.
J. Biomed. Informatics, 2019

Optimizing clinical trials recruitment via deep learning.
J. Am. Medical Informatics Assoc., 2019

Predicting Treatment Initiation from Clinical Time Series Data via Graph-Augmented Time-Sensitive Model.
CoRR, 2019

Rare Disease Detection by Sequence Modeling with Generative Adversarial Networks.
CoRR, 2019


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