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Wei-Ping Wu
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2020 – today
- 2023
- [j5]Jing Sun, Amanuel Tekleab, Millissa Cheung, Wei-Ping Wu
:
The contingent roles of market turbulence and organizational innovativeness on the relationships among interfirm trust, formal contracts, interfirm knowledge sharing and firm performance. J. Knowl. Manag. 27(5): 1436-1457 (2023) - 2022
- [j4]Michael Y. Kpiebaareh
, Wei-Ping Wu, Brighter Agyemang
, Charles R. Haruna
, Tandoh Lawrence:
A Generic Graph-Based Method for Flexible Aspect-Opinion Analysis of Complex Product Customer Feedback. Inf. 13(3): 118 (2022) - 2021
- [c6]Michael Y. Kpiebaareh, Wei-Ping Wu, Charles R. Haruna, Lawrence Tandoh, Brighter Agyemang:
A Graph-Based Opinion Mining Approach for Reducing Information Loss and Overload in Product Reviews Analysis. ICCDA 2021: 143-148 - [c5]Ebenezer Nanor, Wei-Ping Wu, Strato Angsoteng Bayitaa
, Victor Kwaku Agbesi, Brighter Agyemang:
Algorithmic Generation of Positive Samples for Compound-Target Interaction Prediction. ICMLC 2021: 41-49 - 2020
- [j3]Brighter Agyemang, Wei-Ping Wu, Michael Yelpengne Kpiebaareh, Zhihua Lei, Ebenezer Nanor, Lei Chen:
Multi-view self-attention for interpretable drug-target interaction prediction. J. Biomed. Informatics 110: 103547 (2020) - [j2]Wasif Akbar
, Wei-Ping Wu, Sehrish Saleem, Muhammad Farhan
, Muhammad Asim Saleem
, Ashir Javeed
, Liaqat Ali
:
Development of Hepatitis Disease Detection System by Exploiting Sparsity in Linear Support Vector Machine to Improve Strength of AdaBoost Ensemble Model. Mob. Inf. Syst. 2020: 8870240:1-8870240:9 (2020) - [c4]Strato Angsoteng Bayitaa
, Ebenezer Nanor, Michael Y. Kpiebaareh, Brighter Agyemang, Wei-Ping Wu:
Graph Based Analytics Enhanced by Deep Learning. ICCDE 2020: 39-43 - [i3]Brighter Agyemang, Wei-Ping Wu, Michael Yelpengne Kpiebaareh, Zhihua Lei, Ebenezer Nanor, Lei Chen:
Multi-View Self-Attention for Interpretable Drug-Target Interaction Prediction. CoRR abs/2005.00397 (2020) - [i2]Brighter Agyemang, Wei-Ping Wu, Daniel Addo, Michael Y. Kpiebaareh, Ebenezer Nanor, Charles Roland Haruna:
Deep Inverse Reinforcement Learning for Structural Evolution of Small Molecules. CoRR abs/2008.11804 (2020)
2010 – 2019
- 2019
- [c3]Michael Y. Kpiebaareh, Wei-Ping Wu, Strato Bayitaa
, Charles R. Haruna, Lawrence Tandoh:
User-connection behaviour analysis in service management using bipartite labelled property graph. MobiQuitous 2019: 318-327 - [i1]Brighter Agyemang, Wei-Ping Wu, Michael Y. Kpiebaareh, Ebenezer Nanor:
Drug-Target Indication Prediction by Integrating End-to-End Learning and Fingerprints. CoRR abs/1912.01163 (2019) - 2013
- [c2]Chao Wang, Wei-Ping Wu, Yi-Shun Zhang:
Research on the anti-noise performance of different velocity measurement methods using electrostatic sensor in dilute phase gas-solid two-phase flow. ICMLC 2013: 748-753
2000 – 2009
- 2006
- [c1]Jian-Guo Liu, Xiao-Li Zhang, Wei-Ping Wu:
Application of Fuzzy Neural Network for Real Estate Prediction. ISNN (2) 2006: 1187-1191 - 2002
- [j1]George M. Davis, Wei-Ping Wu, Hong-Yun Liu, Gail M. Williams
, Shang-Biao Lu, Hong-Gen Chen, Edmund Seto:
Applying GIS and Remote Sensing to the Epidemiology of Schistosomiasis in Poyang Lake, Jiangxi Province, China. Ann. GIS 8(2): 67-77 (2002)
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