Anita Khadka
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Using citation-context to reduce topic drifting on pure citation-based recommendation
A Khadka, P Knoth
Proceedings of the 12th ACM conference on recommender systems, 362-366, 2018
Can we do better than co-citations? Bringing citation proximity analysis from idea to practice in research articles recommendation
P Knoth, A Khadka
CEUR workshop proceedings 1888, 14-25, 2017
Exploiting Citation Knowledge in Personalised Recommendation of Recent Scientific Publications
A Khadka, I Cantador, M Fernandez
Language Resources and Evaluation (LREC 2020), 2231–2240, 2020
Capturing and Exploiting Citation Knowledge for the Recommendation of Scientific Publications
A Khadka
PQDT-Global, 2020
Capturing and exploiting citation knowledge for recommending recently published papers
A Khadka, I Cantador, M Fernandez
2020 IEEE 29th International Conference on Enabling Technologies …, 2020
Resilient Machine Learning in the Nuclear Industry: Crack Detection as a Case Study
A Khadka, G Epiphaniou, C Maple
International Journal of Nuclear and Quantum Engineering 17 (1), 11-17, 2023
Resilient Machine Learning in Space Systems: Pose Estimation as a Case Study
A Khadka, S Sthapit, G Epiphaniou, C Maple
2022 IEEE Aerospace Conference (AERO), 1-9, 2022
Resilient Machine Learning: Advancement, Barriers, and Opportunities in the Nuclear Industry
A Khadka, S Sthapit, G Epiphaniou, C Maple
ACM Computing Surveys 56 (9), 1-29, 2024
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