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Label
Nasrullah Khan
Designation
:
Lecturer
Email
:
nasrullahkhan@cuiatd.edu.pk
Phone No.
:
N/A
Role
:
Faculty
Research Interests:
Knowledge Graph, Knowledge Graph Embedding, Recommender Systems, Complex Graph/Networks
Publications/Papers
2023
Journal
Nasrullah Khan
"LSS: A locality-based structure system to evaluate the spreader’s importance in social complex networks"
, Expert Systems with Applications , 2023
Nasrullah Khan
"Modeling and querying temporal RDF knowledge graphs with relational databases"
, Journal of Intelligent Information Systems , 2023
Nasrullah Khan
"Intelligent optimization of Reference Evapotranspiration (ETo) for precision irrigation"
, Journal of Computational Science , 2023
Conference
Nasrullah Khan
"Optimized Tokenization Process for Open-Vocabulary Code Completion: An Empirical Study"
, EASE '23: Proceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering , 2023
2022
Journal
Nasrullah Khan
"Categorization of knowledge graph based recommendation methods and benchmark datasets from the perspectives of application scenarios: A comprehensive survey"
, Expert Systems with Applications , 2022
Nasrullah Khan
"Hashing-based semantic relevance attributed knowledge graph embedding enhancement for deep probabilistic recommendation"
, Applied Intelligence , 2022
Nasrullah Khan
"Similarity Attributed Knowledge Graph Embedding Enhancement for Item Recommendation"
, Information Sciences , 2022
Nasrullah Khan
"DCA-IoMT: Knowledge-Graph-Embedding-Enhanced Deep Collaborative Alert Recommendation Against COVID-19"
, IEEE Transactions on Industrial Informatics , 2022
Nasrullah Khan
"AMF-MSPF: A retrospective analysis with online object tracking algorithms"
, Displays , 2022
Nasrullah Khan
"A novel relevance-based information interaction model for community detection in complex networks"
, Expert Systems with Applications , 2022
2021
Journal
Nasrullah Khan
"Identifying vital nodes from local and global perspectives in complex networks"
, Expert Systems with Applications , 2021
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