P N Suganthan

Multiclass cancer classification by support vector machines with class-wise optimized genes and probability estimates.

Ashish Anand, P N Suganthan, P. Suganthan, 2009, Journal of theoretical biology.

Optimising connectionist models and attributed relational graph matching for object recognition

P N Suganthan, 1996 .

Ensemble deep learning for regression and time series forecasting

Le Zhang, Xueheng Qiu, Gehan Amaratunga, 2014, 2014 IEEE Symposium on Computational Intelligence in Ensemble Learning (CIEL).

Predicting protein structural class by SVM with class-wise optimized features and decision probabilities.

Ganesan Pugalenthi, Ashish Anand, P N Suganthan, 2008, Journal of theoretical biology.

Prediction of apoptosis protein locations with genetic algorithms and support vector machines through a new mode of pseudo amino acid composition.

Thomas Martinetz, Ganesan Pugalenthi, P N Suganthan, 2010, Protein and peptide letters.

SVMCRYS: an SVM approach for the prediction of protein crystallization propensity from protein sequence.

Ganesan Pugalenthi, P N Suganthan, Krishna Kumar Kandaswamy, 2010, Protein and peptide letters.