Yejin Kim
Orcid: 0000-0002-4209-4266
According to our database1,
Yejin Kim
authored at least 90 papers
between 2003 and 2024.
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Bibliography
2024
Spatiotemporal Protein Variations Based on VIIRS-Derived Regional Protein Algorithm in the Northern East China Sea.
Remote. Sens., March, 2024
Real-Time Multi-Class Classification of Respiratory Diseases Through Dimensional Data Combinations.
Cogn. Comput., March, 2024
CancerGPT for few shot drug pair synergy prediction using large pretrained language models.
npj Digit. Medicine, 2024
J. Biomed. Informatics, 2024
Eng. Appl. Artif. Intell., 2024
MALLM-GAN: Multi-Agent Large Language Model as Generative Adversarial Network for Synthesizing Tabular Data.
CoRR, 2024
Stock Recommendations for Individual Investors: A Temporal Graph Network Approach with Diversification-Enhancing Contrastive Learning.
CoRR, 2024
CoRR, 2024
Physics-Informed Time-Frequency Fusion Network With Attention for Noise-Robust Bearing Fault Diagnosis.
IEEE Access, 2024
Proceedings of the 30th ACM Symposium on Virtual Reality Software and Technology, 2024
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Stock Recommendations for Individual Investors: A Temporal Graph Network Approach with Mean-Variance Efficient Sampling.
Proceedings of the 5th ACM International Conference on AI in Finance, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
SPOC: Imitating Shortest Paths in Simulation Enables Effective Navigation and Manipulation in the Real World.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Improving Content Recommendation: Knowledge Graph-Based Semantic Contrastive Learning for Diversity and Cold-Start Users.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
ERD: A Framework for Improving LLM Reasoning for Cognitive Distortion Classification.
Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024
2023
Sensors, December, 2023
Time-Frequency Multi-Domain 1D Convolutional Neural Network with Channel-Spatial Attention for Noise-Robust Bearing Fault Diagnosis.
Sensors, December, 2023
J. Am. Medical Informatics Assoc., September, 2023
Comput. Math. Appl., April, 2023
Emulate randomized clinical trials using heterogeneous treatment effect estimation for personalized treatments: Methodology review and benchmark.
J. Biomed. Informatics, January, 2023
Imitating Shortest Paths in Simulation Enables Effective Navigation and Manipulation in the Real World.
CoRR, 2023
CancerGPT: Few-shot Drug Pair Synergy Prediction using Large Pre-trained Language Models.
CoRR, 2023
One-Dimensional Shallow Neural Network Using Non-Fiducial Based Segmented Electrocardiogram for User Identification System.
IEEE Access, 2023
Inferring Personalized Treatment Effect of Antihypertensives on Alzheimer's Disease Using Deep Learning.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023
Learning Physician's Treatment for Alzheimer's Disease based on Electronic Health Records and Reinforcement Learning.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023
LLMs Analyzing the Analysts: Do BERT and GPT Extract More Value from Financial Analyst Reports?
Proceedings of the 4th ACM International Conference on AI in Finance, 2023
2022
Expert Syst. Appl., 2022
Classification of igneous rocks from petrographic thin section images using convolutional neural network.
Earth Sci. Informatics, 2022
Relational graph convolutional networks for predicting blood-brain barrier penetration of drug molecules.
Bioinform., 2022
Appl. Math. Comput., 2022
Proceedings of the Intelligent Computing, 2022
Don't Judge a Language Model by Its Last Layer: Contrastive Learning with Layer-Wise Attention Pooling.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
2021
Population stratification enables modeling effects of reopening policies on mortality and hospitalization rates.
J. Biomed. Informatics, 2021
J. Am. Medical Informatics Assoc., 2021
Heterogeneous Treatment Effect Estimation using machine learning for Healthcare application: tutorial and benchmark.
CoRR, 2021
Adaptive Named Entity Recognition Using Distant Supervision for Contemporary Written Texts.
IEEE Access, 2021
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021
The Combination of Graph Neuron Network and Multi-Task Learning Model for Cancer Drug Combination Prediction.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
A lightweight convolutional neural network for assessing an EEG risk marker for sudden unexpected death in epilepsy.
BMC Medical Informatics Decis. Mak., 2020
Learning to detect the onset of slow activity after a generalized tonic-clonic seizure.
BMC Medical Informatics Decis. Mak., 2020
Categorisation of EEG suppression using enhanced feature extraction for SUDEP risk assessment.
BMC Medical Informatics Decis. Mak., 2020
BMC Medical Informatics Decis. Mak., 2020
A community effort for automatic detection of postictal generalized EEG suppression in epilepsy.
BMC Medical Informatics Decis. Mak., 2020
Temporal phenotyping for transitional disease progress: An application to epilepsy and Alzheimer's disease.
J. Biomed. Informatics, 2020
J. Am. Medical Informatics Assoc., 2020
KSII Trans. Internet Inf. Syst., 2020
Drug Repurposing for COVID-19 using Graph Neural Network with Genetic, Mechanistic, and Epidemiological Validation.
CoRR, 2020
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020
Noise Improves Noise: Verification of Pre-Training Effect with Weakly Labeled Data on Social Media NER.
Proceedings of the 2020 IEEE International Conference on Big Data and Smart Computing, 2020
2019
Symmetry, 2019
Combining Representation Learning with Tensor Factorization for Risk Factor Analysis - an application to Epilepsy and Alzheimer's disease.
CoRR, 2019
Development of Integrated Data and Prediction System Platform for the Localized Prostate Cancer.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the AMIA 2019, 2019
2018
Optical and Acoustic Sensor-Based 3D Ball Motion Estimation for Ball Sport Simulators.
Sensors, 2018
Proceedings of the 2nd International Conference on Video and Image Processing, 2018
High-dimensional statistical supervised learning for extracting information in steganography.
Proceedings of the 2018 International Conference on Information Networking, 2018
Efficient Sound-source Localization Method based on Direction Estimation using 2D Microphone Array.
Proceedings of the 6th International Conference on Information Technology: IoT and Smart City, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
2017
Int. J. Distributed Sens. Networks, 2017
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Tensor-Factorization-Based Phenotyping using Group Information: Case Study on the Efficacy of Statins.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017
2016
Discovery of prostate specific antigen pattern to predict castration resistant prostate cancer of androgen deprivation therapy.
BMC Medical Informatics Decis. Mak., 2016
2015
Discovery of Prostate Specific Antigen Pattern to Predict Castration Resistant Prostate Cancer of Androgen Deprivation Therapy.
Proceedings of the ACM Ninth International Workshop on Data and Text Mining in Biomedical Informatics, 2015
2012
Proceedings of the 2012 Eurographics/ACM SIGGRAPH Symposium on Computer Animation, 2012
2009
Proceedings of the 2009 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, 2009
2006
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2006
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
2005
Design of Fuzzy Controller and Parameter Optimizer for Non-linear System Based on Operator's Knowledge.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005
Self-generation of Control Rules Using Hierarchical and Nonhierarchical Clustering for Coagulant Control of Water Treatment Plants.
Proceedings of the Discovery Science, 8th International Conference, 2005
2003
Knowledge-based unmanned automation and control systems for the SBR wastewater treatment process.
Artif. Life Robotics, 2003