Google Scholar Profile

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My main publications are listed below:

Names in bold+underline are/were students under my supervision.

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• van Dijck, G., On, A. D., Snel, J., & Nanda, R. (2023). Retrieving Relevant EU Drone Legislation with Citation Analysis. Drones, 7(8), 490.    

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• Naudé, M., Adebayo, K. J., & Nanda, R. (2022). A machine learning approach to detecting fraudulent job types. AI & SOCIETY, 1-12.​​

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• Bahamazava, K., & Nanda, R. (2022). The shift of DarkNet illegal drug trade preferences in cryptocurrency: The question of traceability and deterrence. Forensic Science International: Digital Investigation, 40, 301377.

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• Wings, I., Nanda, R., & Adebayo, K. J. (2021). A Context-Aware Approach for Extracting Hard and Soft Skills. Procedia Computer Science, 193, 163-172.

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• Frissen, R., Adebayo, K.J., & Nanda, R. (2022). A machine learning approach to recognize bias and discrimination in job advertisements. Accepted for publication in AI & SOCIETY Journal.

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• Nanda, R., Humphreys, L., Grossio, L., & Kolawole John, A. (2020). Multilingual Legal Information Retrieval System for Mapping Recitals and Normative Provisions. In Legal Knowledge and Information Systems (pp. 123-132). IOS Press.

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• Nanda, R., Siragusa, G., Di Caro, L., Boella, G., Grossio, L., Gerbaudo, M., & Costamagna, F. (2019). Unsupervised and supervised text similarity systems for automated identification of national implementing measures of European directives. Artificial Intelligence and Law, 27(2), 199-225.

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• Siragusa, G., Nanda, R., Paiva, V. D., & Caro, L. D. (2018, October). Relating legal entities via open information extraction. In Research Conference on Metadata and Semantics Research (pp. 181-187). Springer, Cham.

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• Nanda, R., Siragusa, G., Di Caro, L., Theobald, M., Boella, G., Robaldo, L., & Costamagna, F. (2017, December). Concept Recognition in European and National Law. In JURIX (pp. 193-198).

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• Nanda, R., Di Caro, L., Boella, G., Konstantinov, H., Tyankov, T., Traykov, D., ... & Romano, M. (2017, June). A unifying similarity measure for automated identification of national implementations of european union directives. In Proceedings of the 16th edition of the International Conference on Articial Intelligence and Law (pp. 149-158).

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• Nanda, R., Di Caro, L., & Boella, G. (2016). A text similarity approach for automated transposition detection of European union directives. In Legal Knowledge and Information Systems(pp. 143-148). IOS Press.

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• Nanda, R., Adebayo, K. J., Di Caro, L., Boella, G., & Robaldo, L. (2017, June). Legal Information Retrieval Using Topic Clustering and Neural Networks. In COLIEE@ ICAIL (pp. 68-78).

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• Amantea, I. A., Di Caro, L., Humphreys, L., Nanda, R., & Sulis, E. (2019). Modelling Norm Types and their Inter-relationships in EU Directives. In ASAIL@ ICAIL.

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• Nanda, R., Saguna, S., Mitra, K., & Åhlund, C. (2016, April). BayesForSG: a bayesian model for forecasting thermal load in smart grids. In Proceedings of the 31st Annual ACM Symposium on Applied Computing (pp. 2135-2141).

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Book Chapter:

• Di Caro, L., Humphreys, L., Sulis, E., & Nanda, R. (2022). EU Directives Implementation: Automated Analysis of Complexity and Harmonization. In Effective Protection of the Rights of the Accused in the EU Directives (pp. 309-328). Brill Nijhoff.

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Edited Workshop Proceedings:

• Adebayo, K., Nanda, R., Verma, K., & Davis, B. (2022, June). Proceedings of the First Workshop on Language Technology and Resources for a Fair, Inclusive, and Safe Society within the 13th Language Resources and Evaluation Conference. 

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