Research record
Publications
Conference papers and journal articles in machine learning, time series, and their scientific, medical, and engineering applications.
28 of 28 publications
2026
Position: State-of-the-Art Claims Require State-of-the-Art Evidence
Survey-Aware Machine Learning: A Guideline for Valid Population Health Inference based on Scoping Review
FlowPath: Learning Data-Driven Manifolds with Invertible Flows for Robust Irregularly-sampled Time Series Classification
Continuum Dropout for Neural Differential Equations
Predicting non-recurrent congestion impact: A pattern-based approach for speed drop ratio prediction using weighted K-nearest neighbors
2025
SmokeBERT: A Bidirectional Encoder Representations From Transformers–Based Model for Quantitative Smoking History Extraction From Clinical Narratives to Improve Lung Cancer Screening
TSSI: Time Series as Screenshot Images for multivariate time series classification using convolutional neural networks
Comprehensive Review of Neural Differential Equations for Time Series Analysis
Comparative evaluation of VAE-based monitoring statistics for real-time anomaly detection in AIS data
TAOD-Net: Automated detection and analysis of thyroid-associated orbitopathy in facial imagery
DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis
TANDEM: Temporal Attention-guided Neural Differential Equations for Missingness in Time Series Classification
Modeling Irregular Astronomical Time Series with Neural Stochastic Delay Differential Equations
Multi-View Contrastive Learning for Robust Domain Adaptation in Medical Time Series Analysis
Deep Interaction Feature Fusion for Robust Human Activity Recognition
2024
Multi-modal lifelog data fusion for improved human activity recognition: A hybrid approach
Grid-Based Bayesian Bootstrap Approach for Real-Time Detection of Abnormal Vessel Behaviors From AIS Data in Maritime Logistics
Multichannel convolution neural network for gas mixture classification
Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data
2023
Quantifying incident impacts and identifying influential features in urban traffic networks
Sensor drift compensation for gas mixture classification in batch experiments
Time delay estimation of traffic congestion propagation due to accidents based on statistical causality
Before 2023
Multivariate Times Series Classification Using Multichannel CNN
Multi-channel Convolution Neural Network for Gas Mixture Classification
Simulation-based Anomaly Detection in Nuclear Reactors
Transfer Learning based Approach for Mixture Gas Classification
Exploiting Logistics Anomaly Detection using Maritime Big Data
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