Siaw Ling LO
Título
Citado por
Citado por
Año
Prediction of RNA-binding proteins from primary sequence by a support vector machine approach
LY Han, CZ Cai, SL Lo, MCM Chung, YZ Chen
Rna 10 (3), 355-368, 2004
1402004
Multilingual sentiment analysis: from formal to informal and scarce resource languages
SL Lo, E Cambria, R Chiong, D Cornforth
Artificial Intelligence Review 48 (4), 499-527, 2017
1132017
Proteome analysis of human hepatocellular carcinoma tissues by two‐dimensional difference gel electrophoresis and mass spectrometry
CRMY Liang, CK Leow, JCH Neo, GS Tan, SL Lo, JWE Lim, TK Seow, ...
Proteomics 5 (8), 2258-2271, 2005
1042005
Effect of training datasets on support vector machine prediction of protein‐protein interactions
SL Lo, CZ Cai, YZ Chen, MCM Chung
Proteomics 5 (4), 876-884, 2005
912005
Proteome database of hepatocellular carcinoma
RCMY Liang, JCH Neo, SL Lo, G San Tan, TK Seow, MCM Chung
Journal of Chromatography B 771 (1-2), 303-328, 2002
762002
An integrated approach in the discovery and characterization of a novel nuclear protein over‐expressed in liver and pancreatic tumors
ML Choong, LK Tan, SL Lo, EC Ren, K Ou, SE Ong, RCMY Liang, ...
FEBS letters 496 (2-3), 109-116, 2001
502001
Hcc-2, a novel mammalian ER thioredoxin that is differentially expressed in hepatocellular carcinoma
PM Nissom, SL Lo, JCY Lo, PF Ong, JWE Lim, K Ou, RC Liang, TK Seow, ...
FEBS letters 580 (9), 2216-2226, 2006
432006
Using support vector machine ensembles for target audience classification on Twitter
SL Lo, R Chiong, D Cornforth
PloS one 10 (4), e0122855, 2015
372015
Ranking of high-value social audiences on Twitter
SL Lo, R Chiong, D Cornforth
Decision Support Systems 85, 34-48, 2016
342016
A multilingual semi-supervised approach in deriving Singlish sentic patterns for polarity detection
SL Lo, E Cambria, R Chiong, D Cornforth
Knowledge-Based Systems 105, 236-247, 2016
322016
An unsupervised multilingual approach for online social media topic identification
SL Lo, R Chiong, D Cornforth
Expert Systems with Applications 81, 282-298, 2017
252017
Identifying the high-value social audience from Twitter through text-mining methods
SL Lo, D Cornforth, R Chiong
Proceedings of the 18th Asia Pacific Symposium on Intelligent and …, 2015
192015
Proteomics of hepatocellular carcinoma: present status and future prospects
MCM Chung, RCMY Liang, TK Seow, JCH Neo, SL Lo, G San Tan
Proteomics: Biomedical and Pharmaceutical Applications, 163-181, 2004
102004
Effects of training datasets on both the extreme learning machine and support vector machine for target audience identification on twitter
SL Lo, D Cornforth, R Chiong
Proceedings of ELM-2014 Volume 1, 417-434, 2015
92015
Use of a high-value social audience index for target audience identification on Twitter
SL Lo, D Cornforth, R Chiong
Australasian Conference on Artificial Life and Computational Intelligence …, 2015
82015
SPLASH: Systematic proteomics laboratory analysis and storage hub
SL Lo, T You, Q Lin, SB Joshi, MCM Chung, CL Hew
Proteomics 6 (6), 1758-1769, 2006
42006
Do my students understand? Automated identification of doubts from informal reflections
SL LO, KW TAN, EL OUH
32019
Use of Semantic Co-relation in Target Audience Profiling
SL Lo, SD Mei, V Liew
2013 Fourth Global Congress on Intelligent Systems, 234-238, 2013
12013
Automated doubt identification from informal reflections through hybrid sentic patterns and machine learning approach
SL Lo, KW Tan, EL Ouh
Research and Practice in Technology Enhanced Learning 16 (1), 1-24, 2021
2021
Identifying High-Value Social Entities from Twitter with Machine Learning and Multilingual Analysis
SL Lo
The University of Newcastle, 2017
2017
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Artículos 1–20