Chiho Kim

发表

Stock market stability index: An intelligent approach

Tae Yoon Kim, Kyong Joo Oh, Chiho Kim, 2009, Intell. Data Anal..

Active-learning strategy for the development of application-specific machine-learning force fields

Chiho Kim, James Chapman, Huan Tran, 2019 .

Detection and Real-Time Tracking of Moving Targets Using a Color Segmentation Algorithm Robust to Irregular Illumination Variation and a Line-Based Tracker

Chiho Kim, Hagbae Kim, Bum-Jae You, 2005, IEICE Trans. Commun..

Using bimodal kernel for inference in nonparametric regression with correlated errors

Tae Yoon Kim, Chiho Kim, Myung Sang Moon, 2009, J. Multivar. Anal..

A comprehensive polymer dataset for accelerated property prediction and design

Chiho Kim, Arun Mannodi-Kanakkithodi, Huan Tran, 2016 .

Color segmentation robust to brightness variations by using B-spline curve modeling

Chiho Kim, Hagbae Kim, Bum-Jae You, 2008, Pattern Recognit..

Interdigitated LDMOS

Chiho Kim, Junsung Park, Minhwan Kim, 2013, 2013 25th International Symposium on Power Semiconductor Devices & IC's (ISPSD).

Artificial neural networks for non-stationary time series

Tae Yoon Kim, Kyong Joo Oh, Chiho Kim, 2004, Neurocomputing.

Using Neural Networks to Tune the Fluctuation of Daily Financial Condition Indicator for Financial Crisis Forecasting

Tae Yoon Kim, Kyong Joo Oh, Chiho Kim, 2006, Australian Conference on Artificial Intelligence.

Effect of solder resist dissolution on the joint reliability of ENIG surface and Sn-Ag-Cu solder

Chiho Kim, Jae-Ho Lee, Hyunju Lee, 2018, Microelectron. Reliab..

An early warning system for detection of financial crisis using financial market volatility

Tae Yoon Kim, Kyong Joo Oh, Chiho Kim, 2006, Expert Syst. J. Knowl. Eng..

Color Segmentation Robust to Brightness Variations by Using B-spline Curve Modeling

Chiho Kim, Hagbae Kim, Bum-Jae You, 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Accelerating Photofunctional Molecule Discovery with Artificial Intelligence

Chiho Kim, 2018, ACS central science.

A polymer dataset for accelerated property prediction and design

Chiho Kim, Arun Mannodi-Kanakkithodi, Ghanshyam Pilania, 2016, Scientific Data.

Assessing and Improving Machine Learning Model Predictions of Polymer Glass Transition Temperatures

Chiho Kim, Manav Ramprasad, 2019 .

Active-learning and materials design: the example of high glass transition temperature polymers

Chiho Kim, Rampi Ramprasad, Anand Chandrasekaran, 2019, MRS Communications.

From Organized High-Throughput Data to Phenomenological Theory using Machine Learning: The Example of Dielectric Breakdown

Chiho Kim, Ramamurthy Ramprasad, Ghanshyam Pilania, 2016 .

Iterative-Learning Strategy for the Development of Application-Specific Atomistic Force Fields

Chiho Kim, Rampi Ramprasad, Tran Doan Huan, 2019, The Journal of Physical Chemistry C.

A Deep Learning Solvent-Selection Paradigm Powered by a Massive Solvent/Nonsolvent Database for Polymers

Chiho Kim, Rampi Ramprasad, Anand Chandrasekaran, 2020 .

Electrochemical Stability Window of Polymeric Electrolytes

Chiho Kim, Rampi Ramprasad, Rohit Batra, 2019, Chemistry of Materials.

Finding New Perovskite Halides via Machine Learning

Chiho Kim, Turab Lookman, Prasanna V. Balachandran, 2016, Front. Mater..

Machine Learning and Materials Informatics: Recent Applications and Prospects

Chiho Kim, Arun Mannodi-Kanakkithodi, R. Ramprasad, 2017 .

Polymer genome–based prediction of gas permeabilities in polymers

Ryan P. Lively, Chiho Kim, Rampi Ramprasad, 2020 .

Machine learning in materials informatics: recent applications and prospects

Chiho Kim, Arun Mannodi-Kanakkithodi, Rampi Ramprasad, 2017, npj Computational Materials.

Machine Learning Assisted Predictions of Intrinsic Dielectric Breakdown Strength of ABX3 Perovskites

Chiho Kim, Rampi Ramprasad, Ghanshyam Pilania, 2016 .