Multilingual sentiment analysis: from formal to informal and scarce resource languages SL Lo, E Cambria, R Chiong, D Cornforth Artificial Intelligence Review 48, 499-527, 2017 | 215 | 2017 |
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 | 162 | 2004 |
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 | 106 | 2005 |
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 | 97 | 2005 |
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 | 78 | 2002 |
Ranking of high-value social audiences on Twitter SL Lo, R Chiong, D Cornforth Decision Support Systems 85, 34-48, 2016 | 55 | 2016 |
Using support vector machine ensembles for target audience classification on Twitter SL Lo, R Chiong, D Cornforth PloS one 10 (4), e0122855, 2015 | 55 | 2015 |
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 | 53 | 2016 |
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 | 52 | 2001 |
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 | 48 | 2006 |
An unsupervised multilingual approach for online social media topic identification SL Lo, R Chiong, D Cornforth Expert Systems with Applications 81, 282-298, 2017 | 38 | 2017 |
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 | 25 | 2015 |
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: Algorithms and Theories, 417-434, 2015 | 18 | 2015 |
Use of a high-value social audience index for target audience identification on Twitter SL Lo, D Cornforth, R Chiong Artificial Life and Computational Intelligence: First Australasian …, 2015 | 16 | 2015 |
Proteomics of hepatocellular carcinoma: present status and future prospects MCM Chung, RCMY Liang, TK Seow, JCH Neo, SL Lo, GS Tan Proteomics: Biomedical and Pharmaceutical Applications, 163-181, 2004 | 11 | 2004 |
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, 2021 | 8 | 2021 |
Unveiling the dynamics of crisis events: Sentiment and emotion analysis via multi-task learning with attention mechanism and subject-based intent prediction PYW Myint, SL Lo, Y Zhang Information Processing & Management 61 (4), 103695, 2024 | 7 | 2024 |
Mining informal & short student self-reflections for detecting challenging topics–a learning outcomes insight dashboard O De Lin, S Gottipati, LS Ling, V Shankararaman 2021 IEEE Frontiers in Education Conference (FIE), 1-9, 2021 | 6 | 2021 |
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 | 5 | 2006 |
Do my students understand? Automated identification of doubts from informal reflections SL LO, KW TAN, EL OUH | 4 | 2019 |