Lucas Glass

Orcid: 0000-0001-6613-5205

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

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

FRAMM: Fair ranking with missing modalities for clinical trial site selection.

[BibT_eX]

[DOI]

Patterns, March, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Clinical Trial Retrieval via Multi-grained Similarity Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

J. Am. Medical Informatics Assoc., December, 2023

Triple Simplex Matrix Completion for Expense Forecasting.

[BibT_eX]

[DOI]

Cheng Qian

Lucas Glass

Nikos D. Sidiropoulos

CoRR, 2023

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

[BibT_eX]

[DOI]

Xinyan Li

Cheng Qian

Lucas Glass

CoRR, 2023

Enrollment Rate Prediction in Clinical Trials based on CDF Sketching and Tensor Factorization tools.

[BibT_eX]

[DOI]

Magda Amiridi

Cheng Qian

Nicholas D. Sidiropoulos

Lucas M. Glass

Proceedings of the IEEE International Conference on Acoustics, 2023

pADR: Towards Personalized Adverse Drug Reaction Prediction by Modeling Multi-sourced Data.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

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

[BibT_eX]

[DOI]

Patterns, 2022

Knowledge-Driven New Drug Recommendation.

[BibT_eX]

[DOI]

CoRR, 2022

Artificial Intelligence for In Silico Clinical Trials: A Review.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

Rakshith Sharma Srinivasa

CoRR, 2022

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

[BibT_eX]

[DOI]

Cheng Qian

Kejun Huang

Lucas Glass

Rakshith Sharma Srinivasa

Jimeng Sun

CoRR, 2022

PopNet: Real-Time Population-Level Disease Prediction with Data Latency.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Towards Federated COVID-19 Vaccine Side Effect Prediction.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Machine learning applications for therapeutic tasks with genomics data.

[BibT_eX]

[DOI]

Patterns, 2021

FLANNEL (Focal Loss bAsed Neural Network EnsembLe) for COVID-19 detection.

[BibT_eX]

[DOI]

J. Am. Medical Informatics Assoc., 2021

STAN: spatio-temporal attention network for pandemic prediction using real-world evidence.

[BibT_eX]

[DOI]

Junyi Gao

Rakshith Sharma Srinivasa

J. Am. Medical Informatics Assoc., 2021

SafeDrug: Dual Molecular Graph Encoders for Safe Drug Recommendations.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

PyHealth: A Python Library for Health Predictive Models.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

Bioinform., 2021

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

[BibT_eX]

[DOI]

Bioinform., 2021

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

[BibT_eX]

[DOI]

Bioinform., 2021

UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Probabilistic and Dynamic Molecule-Disease Interaction Modeling for Drug Discovery.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Change Matters: Medication Change Prediction with Recurrent Residual Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Multi-version Tensor Completion for Time-delayed Spatio-temporal Data.

[BibT_eX]

[DOI]

Nicholas D. Sidiropoulos

Jimeng Sun

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

SPEAR: self-supervised post-training enhancer for molecule optimization.

[BibT_eX]

[DOI]

Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

Fusion: Towards Automated ICD Coding via Feature Compression.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization.

[BibT_eX]

[DOI]

Nikos Kargas

Cheng Qian

Nicholas D. Sidiropoulos

Cao Xiao

Lucas M. Glass

Jimeng Sun

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Dr. Agent: Clinical predictive model via mimicked second opinions.

[BibT_eX]

[DOI]

J. Am. Medical Informatics Assoc., 2020

MolDesigner: Interactive Design of Efficacious Drugs with Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Fast Graph Attention Networks Using Effective Resistance Based Graph Sparsification.

[BibT_eX]

[DOI]

Rakshith Sharma Srinivasa

CoRR, 2020

SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks.

[BibT_eX]

[DOI]

CoRR, 2020

DeepPurpose: a Deep Learning Based Drug Repurposing Toolkit.

[BibT_eX]

[DOI]

CoRR, 2020

CLARA: Clinical Report Auto-completion.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Influence of medical domain knowledge on deep learning for Alzheimer's disease prediction.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2020

Patient-Trial Matching with Deep Embedding and Entailment Prediction.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Clinical Report Auto-completion.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

α-MOP: Molecule optimization with α-divergence.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

CASTER: Predicting Drug Interactions with Chemical Substructure Representation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

CONAN: Complementary Pattern Augmentation for Rare Disease Detection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Time-to-event estimation by re-defining time.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2019

Optimizing clinical trials recruitment via deep learning.

[BibT_eX]

[DOI]

J. Am. Medical Informatics Assoc., 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Rare Disease Detection by Sequence Modeling with Generative Adversarial Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Lucas Glass

Timeline

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On csauthors.net:

Bibliography

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