Spremljaj
Kar Wai Lim
Kar Wai Lim
Hyundai Motor Group Innovation Center in Singapore
Preverjeni e-poštni naslov na hmgics.com - Domača stran
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Leto
GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection
QP Nguyen, KW Lim, DM Divakaran, KH Low, MC Chan
2019 IEEE Conference on Communications and Network Security (CNS), 91-99, 2019
1942019
Twitter Opinion Topic Model: Extracting Product Opinions from Tweets by Leveraging Hashtags and Sentiment Lexicon
KW Lim, W Buntine
Proceedings of the 23rd ACM International Conference on Conference on …, 2014
1142014
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
V Chenthamarakshan, P Das, SC Hoffman, H Strobelt, I Padhi, KW Lim, ...
Conference on Neural Information Processing Systems, 2020
1102020
Twitter-Network Topic Model: A Full Bayesian Treatment for Social Network and Text Modeling
KW Lim, C Chen, W Buntine
Twenty-seventh Annual Conference on Neural Information Processing Systems …, 2013
742013
Bibliographic Analysis with the Citation Network Topic Model
KW Lim, WL Buntine
Proceedings of the Sixth Asian Conference on Machine Learning (ACML) 2014 …, 2014
692014
Nonparametric Bayesian Topic Modelling with the Hierarchical Pitman–Yor Processes
KW Lim, W Buntine, C Chen, L Du
International Journal of Approximate Reasoning, 2016
492016
Hawkes Processes with Stochastic Excitations
Y Lee, KW Lim, CS Ong
Proceedings of the 33rd International Conference on Machine Learning (ICML …, 2016
472016
Bibliographic Analysis on Research Publications using Authors, Categorical Labels and the Citation Network
KW Lim, W Buntine
Machine Learning 103 (2), 185-213, 2016
282016
Traffic Flow Modelling with Point Processes
KW Lim, W Wang, H Nguyen, Y Lee, C Cai, F Chen
Proceedings of the 23rd World Congress on Intelligent Transport Systems. ITS …, 2016
72016
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models.(2020)
V Chenthamarakshan, P Das, SC Hoffman, H Strobelt, I Padhi, KW Lim, ...
arXiv preprint arXiv:2004.01215, 2022
62022
Simulation and calibration of a fully Bayesian marked multidimensional Hawkes process with dissimilar decays
KW Lim, Y Lee, L Hanlen, H Zhao
Asian Conference on Machine Learning, 238-253, 2016
62016
On the Mathematical Relationship between Expected n-call@k and the Relevance vs. Diversity Trade-off
KW Lim, S Sanner, S Guo
Proceedings of the 35th International ACM SIGIR Conference on Research and …, 2012
62012
Explaining Chemical Toxicity Using Missing Features
KW Lim, B Sharma, P Das, E Vijil, J Dordick
ML Interpretability for Scientific Discovery, ICML Workshop, 1-6, 2020
52020
Improving Wirebonding Failure Classification Across Bond Recipe via Machine Learning
BH Hew, KW Lim, Y Sun, YB Wang, JKY Song
2022 IEEE 24th Electronics Packaging Technology Conference (EPTC), 854-857, 2022
22022
Z−Transforms and its Inference on Partially Observable Point Processes
Y Lee, TV Vo, KW Lim, H Soh
Proceedings of the Twenty-Seventh International Joint Conference on …, 2018
22018
Nonparametric Bayesian Topic Modelling with Auxiliary Data
KW Lim
The Australian National University, 2016
22016
Bayesian Bivariate Hawkes
KW Lim, Y Lee, CS Ong
Proceedings of the Workshop on Time Series Analytics and Applications, 13-18, 2016
12016
Bayesian Analysis of Claim Run-off Triangles
KW Lim
The Australian National University, 2011
12011
Computing MLE Bias Empirically
KW Lim
Tech Report, 2017
2017
On the Formal Relationship between Expected n-call@ k and Diversity
S Guo, KW Lim, S Sanner
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