Neural network and deep-learning algorithms used in QSAR studies: merits and drawbacksFahimeh Ghasemi, Horacio Pérez‐Sánchez, Alireza Mehridehnavi et al.|Drug Discovery Today|2018Cited by 224
Deep neural network in QSAR studies using deep belief networkFahimeh Ghasemi, Horacio Pérez‐Sánchez, Afshin Fassihi et al.|Applied Soft Computing|2017Cited by 104
Accelerating Big Data Analysis through LASSO-Random Forest Algorithm in QSAR StudiesFahimeh Motamedi, Fahimeh Ghasemi, Horacio Pérez‐Sánchez et al.|Bioinformatics|2021Cited by 85
The role of different sampling methods in improving biological activity prediction using deep belief networkFahimeh Ghasemi, Alireza Mehri Dehnavi, Afshin Fassihi et al.|Journal of Computational Chemistry|2016Cited by 36
Improving Activity Prediction of Adenosine A2B Receptor Antagonists by Nonlinear ModelsFahimeh Ghasemi, Horacio Pérez‐Sánchez, Alireza Mehri et al.|Lecture notes in computer science|2015Cited by 9