SecureCore: A multicore-based intrusion detection architecture for real-time embedded systems

Man-Ki Yoon , S. Mohan , Jaesik Choi , Jung-Eun Kim
real time technology and applications symposium 21 -32

74
2013
Factor-guided motion planning for a robot arm

Jaesik Choi , Eyal Amir
intelligent robots and systems 27 -32

7
2007
Safe Navigation of a Mobile Robot Considering Visibility of Environment

Woojin Chung , Seokgyu Kim , Minki Choi , Jaesik Choi
IEEE Transactions on Industrial Electronics 56 ( 10) 3941 -3950

62
2009
REAL-TIME ANOMALY DETECTION IN PRECIPITATION SENSORS

DAVID J HILL , BARBARA S MINSKER , EYAL AMIR , JAESIK CHOI

LIFTED INFERENCE FOR RELATIONAL HYBRID MODELS

JAESIK CHOI
University of Illinois at Urbana-Champaign

2
2012
Learning Exponential Random Graph Models

Dorothy L. Espelage , Eyal Amir , Jaesik Choi , Wen Pu

5
2013
Lifted relational Kalman filtering

Abner Guzman-Rivera , Eyal Amir , Jaesik Choi
international joint conference on artificial intelligence 2092 -2099

25
2011
Lifted inference on transitive relations

Eyal Amir , Jaesik Choi , Wen Pu
national conference on artificial intelligence 49 -56

2
2013
Efficient navigation of mobile robot based on the robot's experience in human co-existing environment

Woojin Chung , Jaesik Choi , Jae Bok Song
제어로봇시스템학회 국제학술대회 논문집 2024 -2029

11
2005
Learning relational kalman filtering

Albert J. Valocchi , Eyal Amir , Jaesik Choi , Tianfang Xu
national conference on artificial intelligence 2539 -2546

5
2015
A deterministic partition function approximation for exponential random graph models

Eyal Amir , Jaesik Choi , Yunseong Hwang , Wen Pu
international conference on artificial intelligence 192 -200

1
2015
Parameter estimation for relational kalman filtering

Albert J. Valocchi , Eyal Amir , Jaesik Choi , Tianfang Xu
national conference on artificial intelligence 22 -28

2014
Efficient methods for lifted inference with aggregate factors

Jaesik Choi , Rodrigo de Salvo Braz , Hung H. Bui
national conference on artificial intelligence 1030 -1036

8
2011
Automatic construction of nonparametric relational regression models for multiple time series

Jaesik Choi , Yunseong Hwang , Anh Tong
international conference on machine learning 3030 -3039

33
2016
1
2010
Parametric Information Bottleneck to \\Optimize Stochastic Neural Networks

Jaesik Choi , Thanh T. Nguyen
Graduate School of UNIST

2018
Deep Reinforcement Learning in Continuous Action Spaces: a Case Study in the Game of Simulated Curling

Jaesik Choi , Seong Whan Lee , Kyowoon Lee , Sol A. Kim
international conference on machine learning 2937 -2946

14
2018
Discovering Latent Covariance Structures for Multiple Time Series

Jaesik Choi , Anh Tong
international conference on machine learning 6285 -6294

13
2019
IDEALEM: Statistical Similarity Based Data Reduction

Jaesik Choi , Kesheng Wu , Dongeun Lee , Alex Sim
arXiv: Databases

1
2019
Lifted inference for relational continuous models

Eyal Amir , David J. Hill , Jaesik Choi
uncertainty in artificial intelligence 126 -134

26
2010