Mohammad Asif Khan
Title
Cited by
Cited by
Year
DeepGO: Predicting protein functions from sequence and interactions using a deep ontology-aware classifier
M Kulmanov, MA Khan, R Hoehndorf
Bioinformatics, btx624, 2017
992017
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
552017
Robust energy-based least squares twin support vector machines
M Tanveer, MA Khan, SS Ho
Applied Intelligence 45 (1), 174-186, 2016
412016
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
302016
Incorporating Literals into Knowledge Graph Embeddings
A Kristiadi*, MA Khan*, D Lukovnikov, J Lehmann, A Fischer
International Semantic Web Conference. Springer, 2019
172019
Utilizing Temporal Information in Deep Convolutional Network for Efficient Soccer Ball Detection and Tracking
A Kukleva*, MA Khan*, H Farazi, S Behnke
23rd RoboCup International Symposium, 2019
22019
Unsupervised Cross-Domain Speech-to-Speech Conversion with Time-Frequency Consistency
MA Khan, F Cardinaux, S Uhlich, M Ferras, A Fischer
arXiv preprint arXiv:2005.07810, 2020
2020
Learning-based predictive dynamic spectrum access framework: a practical perspective for enhanced QoE of secondary users
A Agarwal, R Gangopadhyay, S Dubey, S Debnath, MA Khan
IET Communications 12 (18), 2243-2252, 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
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Articles 1–9