Cao Xiao

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Recent Advances in Predictive Modeling with Electronic Health Records.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Certifiably Byzantine-Robust Federated Conformal Prediction.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Zero-Resource Hallucination Prevention for Large Language Models.

[BibT_eX]

[DOI]

Junyu Luo

Fenglong Ma

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Unlocking Memorization in Large Language Models with Dynamic Soft Prompting.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

PyTrial: A Comprehensive Platform for Artificial Intelligence for Drug Development.

[BibT_eX]

[DOI]

CoRR, 2023

GraphCare: Enhancing Healthcare Predictions with Open-World Personalized Knowledge Graphs.

[BibT_eX]

[DOI]

CoRR, 2023

AnyPredict: Foundation Model for Tabular Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

Synthesize Extremely High-dimensional Longitudinal Electronic Health Records via Hierarchical Autoregressive Language Model.

[BibT_eX]

[DOI]

Brandon Theodorou

CoRR, 2023

MedLink: De-Identified Patient Health Record Linkage.

[BibT_eX]

[DOI]

Zhenbang Wu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

AutoTrial: Prompting Language Models for Clinical Trial Design.

[BibT_eX]

[DOI]

Zifeng Wang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 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

TREEMENT: Interpretable Patient-Trial Matching via Personalized Dynamic Tree-based Memory Network.

[BibT_eX]

[DOI]

Brandon Philip Theodorou

Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning.

[BibT_eX]

[DOI]

Zifeng Wang

Rakshith Sharma Srinivasa

Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

2022

CHEER: Rich Model Helps Poor Model via Knowledge Infusion.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 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

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

[BibT_eX]

[DOI]

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

ATD: Augmenting CP Tensor Decomposition by Self Supervision.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Differentiable Scaffolding Tree for Molecule Optimization.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Benchmarking Automated Clinical Language Simplification: Dataset, Algorithm, and Evaluation.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Computational Linguistics, 2022

MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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

An Adaptive Pattern Learning Framework to Personalize Online Seizure Prediction.

[BibT_eX]

[DOI]

Shouyi Wang

Leonidas D. Iasemidis

Stephen Wong

Rakshith Sharma Srinivasa

IEEE Trans. Big Data, 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

J. Am. Medical Informatics Assoc., 2021

MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare.

[BibT_eX]

[DOI]

CoRR, 2021

Self-supervised EEG Representation Learning for Automatic Sleep Staging.

[BibT_eX]

[DOI]

CoRR, 2021

Differentiable Scaffolding Tree for Molecular Optimization.

[BibT_eX]

[DOI]

CoRR, 2021

Augmented Tensor Decomposition with Stochastic Optimization.

[BibT_eX]

[DOI]

CoRR, 2021

SafeDrug: Dual Molecular Graph Encoders for Safe Drug Recommendations.

[BibT_eX]

[DOI]

CoRR, 2021

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics.

[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

MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths.

[BibT_eX]

[DOI]

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

AID: Active Distillation Machine to Leverage Pre-Trained Black-Box Models in Private Data Settings.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection.

[BibT_eX]

[DOI]

Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Healthcare Conference, 2021

MTC: Multiresolution Tensor Completion from Partial and Coarse Observations.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Advances in Mining Heterogeneous Healthcare Data.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

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

MedRetriever: Target-Driven Interpretable Health Risk Prediction via Retrieving Unstructured Medical Text.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

CUP: Cluster Pruning for Compressing Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 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

Lucas M. Glass

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

Introduction to Deep Learning for Healthcare

[BibT_eX]

[DOI]

Springer, ISBN: 978-3-030-82183-8, 2021

2020

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

[BibT_eX]

[DOI]

J. Am. Medical Informatics Assoc., 2020

A Benchmark Dataset for Understandable Medical Language Translation.

[BibT_eX]

[DOI]

CoRR, 2020

DeepRite: Deep Recurrent Inverse TreatmEnt Weighting for Adjusting Time-varying Confounding in Modern Longitudinal Observational Data.

[BibT_eX]

[DOI]

Yanbo Xu

Rakshith Sharma Srinivasa

CoRR, 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]

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

SUOD: A Scalable Unsupervised Outlier Detection Framework.

[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

Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2020

Optimal collection of medical specimens and delivery to central laboratory.

[BibT_eX]

[DOI]

Zelda B. Zabinsky

Pattamon Dulyakupt

Shabnam Zangeneh-Khamooshi

Ann. Oper. Res., 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

REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild.

[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

HiTANet: Hierarchical Time-Aware Attention Networks for Risk Prediction on Electronic Health Records.

[BibT_eX]

[DOI]

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

LSAN: Modeling Long-term Dependencies and Short-term Correlations with Hierarchical Attention for Risk Prediction.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Supervised Topic Compositional Neural Language Model for Clinical Narrative Understanding.

[BibT_eX]

[DOI]

Elke A. Rundensteiner

Fei Wang

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 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

CORE: Automatic Molecule Optimization Using Copy & Refine Strategy.

[BibT_eX]

[DOI]

Tianfan Fu

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

CUP: Cluster Pruning for Compressing Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

GENN: Predicting Correlated Drug-drug Interactions with Graph Energy Neural Networks.

[BibT_eX]

[DOI]

CoRR, 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

Improved Maximum Margin Clustering via the Bundle Method.

[BibT_eX]

[DOI]

IEEE Access, 2019

Longitudinal Adversarial Attack on Electronic Health Records Data.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

EEGtoText: Learning to Write Medical Reports from EEG Recordings.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Healthcare Conference, 2019

SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Healthcare Conference, 2019

Tutorial: Data Mining Methods for Drug Discovery and Development.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Retaining Privileged Information for Multi-Task Learning.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Pre-training of Graph Augmented Transformers for Medication Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

RDPD: Rich Data Helps Poor Data via Imitation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

DDL: Deep Dictionary Learning for Predictive Phenotyping.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

PEARL: Prototype Learning via Rule Learning.

[BibT_eX]

[DOI]

Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Optimal Expert Knowledge Elicitation for Bayesian Network Structure Identification.

[BibT_eX]

[DOI]

IEEE Trans Autom. Sci. Eng., 2018

Switching-State Dynamical Modeling of Daily Behavioral Data.

[BibT_eX]

[DOI]

J. Heal. Informatics Res., 2018

Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review.

[BibT_eX]

[DOI]

Edward Choi

J. Am. Medical Informatics Assoc., 2018

AWE: Asymmetric Word Embedding for Textual Entailment.

[BibT_eX]

[DOI]

CoRR, 2018

RDPD: Rich Data Helps Poor Data via Imitation.

[BibT_eX]

[DOI]

CoRR, 2018

Health-ATM: A Deep Architecture for Multifaceted Patient Health Record Representation and Risk Prediction.

[BibT_eX]

[DOI]

Tengfei Ma

Fei Wang

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders.

[BibT_eX]

[DOI]

Tengfei Ma

Jie Chen

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Pairwise-Ranking based Collaborative Recurrent Neural Networks for Clinical Event Prediction.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling.

[BibT_eX]

[DOI]

Jie Chen

Tengfei Ma

Proceedings of the 6th International Conference on Learning Representations, 2018

Heterogeneous Hyper-Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

Uncovering Dynamic Functional Connectivity of Parkinson's Disease Using Topological Features and Sparse Group Lasso.

[BibT_eX]

[DOI]

W. Art Chaovalitwongse

Tara M. Madhyastha

Thomas J. Grabowski

Proceedings of the Brain Informatics - International Conference, 2018

2017

Unsupervised Sequential Outlier Detection With Deep Architectures.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2017

An RNN Architecture with Dynamic Temporal Matching for Personalized Predictions of Parkinson's Disease.

[BibT_eX]

[DOI]

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Patient Subtyping via Time-Aware LSTM Networks.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Subtyping Parkinson's Disease with Recurrent Neural Network Models.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2017, 2017

Adverse Drug Reaction Prediction with Symbolic Latent Dirichlet Allocation.

[BibT_eX]

[DOI]

Ping Zhang

W. Art Chaovalitwongse

Jianying Hu

Fei Wang

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Multitask Dyadic Prediction and Its Application in Prediction of Adverse Drug-Drug Interaction.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Optimization Models for Feature Selection of Decomposed Nearest Neighbor.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2016

A Patient-Specific Model for Predicting Tibia Soft Tissue Insertions From Bony Outlines Using a Spatial Structure Supervised Learning Framework.

[BibT_eX]

[DOI]

IEEE Trans. Hum. Mach. Syst., 2016

An integrated feature ranking and selection framework for ADHD characterization.

[BibT_eX]

[DOI]

Jesse Bledsoe

Shouyi Wang

Sonya H. Mehta

Margaret Semrud-Clikeman

Thomas J. Grabowski

Brain Informatics, 2016

A Novel Mutual-Information-Guided Sparse Feature Selection Approach for Epilepsy Diagnosis Using Interictal EEG Signals.

[BibT_eX]

[DOI]

Shouyi Wang

Jeffrey J. Tsai

Thomas J. Grabowski

Proceedings of the Brain Informatics and Health - International Conference, 2016

An Efficient Time Series Subsequence Pattern Mining and Prediction Framework with an Application to Respiratory Motion Prediction.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Detecting Clusters of Fake Accounts in Online Social Networks.

[BibT_eX]

[DOI]