Mohammad Asif Khan
TitleCited byYear
DeepGO: Predicting protein functions from sequence and interactions using a deep ontology-aware classifier
M Kulmanov, MA Khan, R Hoehndorf
Bioinformatics, btx624, 2017
362017
Neuro-symbolic representation learning on biological knowledge graphs
M Alshahrani, MA Khan, O Maddouri, AR Kinjo, N Queralt-Rosinach, ...
Bioinformatics 33 (17), 2723-2730, 2017
272017
Robust energy-based least squares twin support vector machines
M Tanveer, MA Khan, SS Ho
Applied Intelligence 45 (1), 174-186, 2016
212016
Learning based primary user activity prediction in cognitive radio networks for efficient dynamic spectrum access
A Agarwal, S Dubey, MA Khan, R Gangopadhyay, S Debnath
2016 International Conference on Signal Processing and Communications (SPCOM …, 2016
182016
Incorporating Literals into Knowledge Graph Embeddings
A Kristiadi, MA Khan, D Lukovnikov, J Lehmann, A Fischer
arXiv preprint arXiv:1802.00934, 2018
62018
Learning-based predictive dynamic spectrum access framework: a practical perspective for enhanced QoE of secondary users
A Agarwal, R Gangopadhyay, S Dubey, S Debanth, MA Khan
IET Communications, 2018
2018
Predicting protein functions from sequence and interactions using a neuro-symbolic deep learning model
M Kulmanov, MA Khan, R Hoehndorf
F1000Research 6, 2017
2017
Predicting protein functions from sequence using a neuro-symbolic deep learning model
M Kulmanov, MA Khan, R Hoehndorf
2017
Machine Learning based Spectrum Prediction in Cognitive Radio Networks, Bachelor Thesis
MA Khan
The LNM Institute of Information Technology, Jaipur, 2016
2016
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Articles 1–9