Nakarmi, S., Sthapit, S., Shakya, A., Chulyadyo, R., & Bal, B. K. (2024, May). Nepal Script Text Recognition Using CRNN CTC Architecture. In Proceedings of the 3rd Annual Meeting of the Special Interest Group on Under-resourced Languages@ LREC-COLING 2024 (pp. 244-251).
Shakya, S. & Chulyadyo, R. (2023). Emotion-aware Nepali music recommender system [Poster presentation]. Cultural Data Analytics Conference 2023 (CUDAN 2023), Tallinn, Estonia.
Tamrakar, S. & Chulyadyo, R. (2022, April 14). ‘भर्चुअल’ सुरक्षा. Himal Khabarpatrika. Himal Media Private Limited.
Chulyadyo, R., & Leray, P. (2018). Using Probabilistic Relational Models to generate synthetic spatial or non-spatial databases. In 2018 12th International Conference on Research Challenges in Information Science (RCIS) (pp. 1-12). IEEE.
Chulyadyo, R., & Leray, P. (2017). A Framework for Offline Evaluation of Recommender Systems based on Probabilistic Relational Models (Technical Report, Laboratoire des Sciences du Numérique de Nantes; Capacités SAS).
Chulyadyo, R. (2016). A new horizon for the recommendation: Integration of spatial dimensions to aid decision making (Doctoral dissertation, Université de Nantes).
Ishak, M. B., Chulyadyo, R., & Leray, P. (2016). Probabilistic relational model benchmark generation. arXiv preprint arXiv:1603.00709.
Chulyadyo, R., & Leray, P. (2015). Integrating spatial information into probabilistic relational models. In 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA) (pp. 1-8). IEEE.
Chulyadyo, R., & Leray, P. (2014). A Personalized Recommender System from Probabilistic Relational Model and Users' Preferences. In KES (pp. 1063-1072).
Chulyadyo, R., Harzallah, M., & Berio, G. (2013). Core Ontology based Approach for Treating the Flatness of Automatically Built Ontology. In KEOD (pp. 316-323).