| 2023 | IDEAL | Globular Cluster Detection in M33 Using Multiple Views Representation Learning. | Taned Singlor, Phonphrm Thawatdamrongkit, Prapaporn Techa-angkoon, Chutipong Suwannajak, Jakramate Bootkrajang |
| 2019 | IDEAL | Orchids Classification Using Spatial Transformer Network with Adaptive Scaling. | Watcharin Sarachai, Jakramate Bootkrajang, Jeerayut Chaijaruwanich, Samerkae Somhom |
| 2018 | IDEAL | Handwritten Character Recognition Using Active Semi-supervised Learning. | Papangkorn Inkeaw, Jakramate Bootkrajang, Teresa Gonalves, Jeerayut Chaijaruwanich |
| 2017 | IDEAL | Predicting Physical Activities from Accelerometer Readings in Spherical Coordinate System. | Kittikawin Lehsan, Jakramate Bootkrajang |
| 2015 | ESANN | A generalised label noise model for classification. | Jakramate Bootkrajang |
| 2013 | GECCO | Towards large scale continuous EDA: a random matrix theory perspective. | Ata Kabn, Jakramate Bootkrajang, Robert John Durrant |
| 2013 | IDEAL | Learning a Label-Noise Robust Logistic Regression: Analysis and Experiments. | Jakramate Bootkrajang, Ata Kabn |
| 2013 | UAI | Boosting in the presence of label noise. | Jakramate Bootkrajang, Ata Kabn |
| 2011 | ESANN | Multi-class classification in the presence of labelling errors. | Jakramate Bootkrajang, Ata Kabn |
| 2009 | GECCO | Evolutionary hypernetwork classifiers for protein-proteininteraction sentence filtering. | Jakramate Bootkrajang, Sun Kim, Byoung-Tak Zhang |