Srinivasan, Ashwin

A review of some techniques for inclusion of domain-knowledge into deep neural networks

Dash, T., Chitlangia, S., Ahuja, A., & Srinivasan, A. (2022) · Scientific Reports

Neural Networks and ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 196

Pharmacophore Discovery Using the Inductive Logic Programming System PROGOL

Finn, P., Muggleton, S., Page, D., & Srinivasan, A. (1998) · Machine Learning

Computational Drug Discovery MethodsData Mining Algorithms and Applications

Cited by 138

ILP turns 20: Biography and future challenges

Muggleton, S., De Raedt, L., Poole, D., Bratko, I., Flach, P., Inoue, K., & Srinivasan, A. (2012) · Machine Learning

Logic, Reasoning, and KnowledgeData Mining Algorithms and Applications

Cited by 126

Large-Scale Assessment of Deep Relational Machines

Dash, T., Srinivasan, A., Vig, L., Orhobor, O. I., & King, R. D. (2018) · Lecture Notes in Computer Science

Logic, Reasoning, and KnowledgeNeural Networks and Applications

Cited by 19

Quantitative pharmacophore models with inductive logic programming

Srinivasan, A., Page, D., Camacho, R., & King, R. (2006) · Machine Learning

Computational Drug Discovery MethodsMachine Learning in Materials Science

Cited by 15

ILP-assisted de novo drug design

Kaalia, R., Srinivasan, A., Kumar, A., & Ghosh, I. (2016) · Machine Learning

Computational Drug Discovery Methodsvaccines and immunoinformatics approaches

Cited by 13