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2010 – 2019
- 2019
[c7]Patompat Kamtar, Duangjai Jitkongchuen, Eakasit Pacharawongsakda:
Multi-Label Classification of Employee Job Performance Prediction by DISC Personality. ICCBD 2019: 47-52- 2018
- [j3]Thitima Panyayai, Papungkorn Sangsawad
, Eakasit Pacharawongsakda, Orathai Sawatdichaikul, Sissades Tongsima, Kiattawee Choowongkomon:
The potential peptides against angiotensin-I converting enzyme through a virtual tripeptide-constructing library. Comput. Biol. Chem. 77: 207-213 (2018) - [c6]Nathaniel Netirungroj, Eakasit Pacharawongsakda:
TOP: An Efficient Two-Levels of Positive Resampling Framework for Class Imbalanced Data. BCD 2018: 67-72 - 2013
- [j2]Eakasit Pacharawongsakda, Thanaruk Theeramunkong:
Multi-Label Classification Using Dependent and Independent Dual Space Reduction. Comput. J. 56(9): 1113-1135 (2013) - [c5]Eakasit Pacharawongsakda, Thanaruk Theeramunkong:
A Comparative Study on Single and Dual Space Reduction in Multi-label Classification. KICSS 2013: 389-400 - [c4]Eakasit Pacharawongsakda, Thanaruk Theeramunkong:
A Two-Stage Dual Space Reduction Framework for Multi-label Classification. PAKDD Workshops 2013: 330-341 - 2012
- [c3]Samatcha Thanangthanakij, Eakasit Pacharawongsakda, Nattapong Tongtep, Pakinee Aimmanee, Thanaruk Theeramunkong:
An Empirical Study on Multi-dimensional Sentiment Analysis from User Service Reviews. KICSS 2012: 58-65 - [c2]Eakasit Pacharawongsakda, Thanaruk Theeramunkong:
Towards More Efficient Multi-label Classification Using Dependent and Independent Dual Space Reduction. PAKDD (2) 2012: 383-394 - [c1]Eakasit Pacharawongsakda, Cholwich Nattee, Thanaruk Theeramunkong:
Improving Multi-label Classification Using Semi-supervised Learning and Dimensionality Reduction. PRICAI 2012: 423-434
2000 – 2009
- 2007
- [j1]Supawadee Ingsriswang, Eakasit Pacharawongsakda:
sMOL Explorer: an open source, web-enabled database and exploration tool for Small MOLecules datasets. Bioinform. 23(18): 2498-2500 (2007)
Coauthor Index
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