Publications

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Research Papers

2024

44. Bagyendera, M., Nabende, P., Godman, B. & Nabukeya, J. 2024. Contextualizing Syntactic Interoperability Data Standards for Health Information Exchange in Uganda's Public Healthcare System. In Proceedings of 10th International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AWE (pp. 267-275). SciTePress. ISBN 978-989-758-700-9. DOI: https://doi.org/10.5220/0012711100003699.

43. Nakatumba-Nabende, J., Babirye, C., Nabende, P., Tusubira, J.F., Mukiibi, J., Wairagala, E.P., Mutebi, C., Bateesa, T.S., Nahabwe, A., Tusiime, H. & Katumba, A. 2024. Building text and speech benchmark datasets and models for low-resourced East African languages: Experiences and Lessons. In Applied AI Letters. John Wiley & Sons Ltd. ISSN: 2689-5595, eISSN: 2689-5595. DOI: https://doi.org/10.1002/ail2.92

2023

42. Bagyendera, M., Nabende, P. & Nabukenya, J. 2023. Critical factors influencing data use and utilization in health systems: a focus on data and interoperability standards for Health Information Exchange (HIE) in Uganda's healthcare system. Oxford Open Digital Health: oqad015. Oxford University Press. Online ISSN: 2754-4591. DOI: https://doi.org/10.1093/oodh/oqad015

41. Ahimbisibwe, B.K., Nabende, P. & Musiimenta, F. 2023. An investigation into information security managerial practices in selected public sector organizations. In Kabale University Interdisciplinary Journal (KURJ), 2(1): 32-40. ISSN: 2790-1394.

40. Dione, C.M.B., Adelani, D., Nabende, P., Alabi, J., Sindane, T., Buzaaba, H., Shamsuddeen H.M., Emezue, C.C., Ogayo, P., Aremu, A., Gitau, C., Mbaye, D., Mukiibi, J., Sibanda, B., Dossou, B.F.P., Bukula, A., Mabuya, R., Tapo, A.A., Munkoh-Buabeng, E., Koagne, V.M., Kabore, F.O., Taylor, A., KALIPE, G., Macucwa, T., Marivate, V., Gwadabe, T., Mboning, T.E., Onyenwe, I., Atindogbe, G., Adelani, T., Akinade, I., Olanrewaju, S., Nahimana, M., Musabeyezu, T., Niyomutabazi, E., Chimhenga, E., Gotosa, K., Mizha, P., Agbolo, A., Traore, S., Uchechukwu, C., Aliyu, Y., Abdullahi, M. & Klakow, D. 2023. MasakhaPOS: Part-of-Speech Tagging for Typologically Diverse African Languages. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, Volume 1: Long papers (pp 10883-10900), Toronto, Canada. Association for Computational Linguistics. ISBN 978-1-959429-72-2.

39. Ahimbisibwe, B.K. & Nabende, P. 2023. The institutionalization of Information Security Management practices in selected organizations in Uganda. In International Journal of Advanced Research, 6(1): 48-63. East African Nature and Science Organization. Print ISSN: 2707-7802, Online ISSN: 2707-7810. DOI: https://doi.org/10.37284/ijar.6.1.1155


2022

38. Adelani, D.I., Neubig, G., Ruder, S., Rijhwani, S., Beukman, M., Palen-Michel, C., Lignos, C., Alabi, J.O., Muhammad, S.H., Nabende, P., Dione, C.M.B., Bukula, A., Mabuya, R., Dossou, B.F.P., Sibanda, B., Buzaaba, H., Mukiibi, J., kalipe, G., Mbaye, D., Taylor, A., Kabore, F., Emezue, C.C., Aremu, A., Ogayo, P., Gitau, C., Munkoh-Buabeng, E., Koagne, V.M., Tapo, A.A., Macucwa, T., Marivate, V., Mboning, E., Gwadabe, T., Adewumi, T., Ahia, O., Nakatumba-Nabende, J., Mokono, N.L., Ezeani, I., Chukwuneke, C., Adeyemi, M., Hacheme, G.Q., Abdulmumin, I., Ogundepo, O., Yousuf, O., Ngoli, T.M. & Klakow, D. 2022. MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (pp 4488-4508), Abu Dhabi, United Arab Emirates. Association for Computational Linguistics. 

37. Adelani, D.I., Alabi, J.O., Fan, A., Kreutzer, J., Shen, X., Reid, M., Ruiter, D., Klakow, D., Nabende, P., Chang, E., Gwadabe, T., Sackey, F., Dossou, B.F.P., Emezue, C., Leong, C., Beukman, M., Muhammad, S.H., Jarso, G., Yousuf, O., Rubungo, A.N., Hacheme, G., Wairagala, E.P., Nasir, M.U., Ajibade, B.A., Ajayi, T.O., Gitau, Y.W., Abbott, J., Ahmed, M., Ochieng, M., Aremu, A., Ogayo, P., Mukiibi, J., Kabore, F.O., Kalipe, G.K., Mbaye, D., Tapo, A.A., Koagne, V.M., Munkoh-Buabeng, E., Wagner, V., Abdulmumin, I., Awokoya, A., Buzaaba, H., Sibanda, B., Bukula, A. & Manthalu, S. 2022. A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (pp 3053–3070), Seattle, United States. Association for Computational Linguistics. ISBN 978-1-955917-71-1.

36. Ahimbisibwe, B. & Nabende, P. (2022). A conceptual framework for assessing information security management practices in selected universities in Uganda. In Journal of Digital Science 4 (1): 21-29. ISSN 2686-8296. DOI: https://doi.org/10.33847/2686-8296.4.1_2


2021

35. Magumba, M.A. & Nabende, P. (2021). Evaluation of different machine learning approaches and input text representations for multilingual classification of tweets for disease surveillance in the social web. In Journal of Big Data (2021) 8: 139. Springer International Publishing. Online ISSN: 2196-1115. DOI: https://doi.org/10.1186/s40537-021-00528-5.

34. Nabende, P., Senfuma, S. & Nakatumba, J. (2021). An evaluation of Bayesian network models for predicting credit risk on Ugandan credit contracts.  In: Arabnia H.R., Ferens K., de la Fuente D., Kozerenko E.B., Olivas Varela J.A., Tinetti F.G. (eds) Advances in Artificial Intelligence and Applied Cognitive Computing (pp. 461-474). Transactions on Computational Science and Computational Intelligence. Springer, Cham. Print ISBN: 978-3-030-70295-3 Online ISBN: 978-3-030-70296-0 DOI: https://doi.org/10.1007/978-3-030-70296-0_35.

33. Bbosa, F.F., Wesonga, R., Nabende, P., Nabukenya, J. (2021). A modified decision tree and its application to assess variable importance.  In 2021 4th International Conference on Data Science and Information Technology (DSIT 2021), pp. 468-475. Association for Computing Machinery, New York, NY, USA. ISBN: 978-1-4503-9024-8. DOI:https://doi.org/10.1145/3478905.3479245

32. Bbosa, F.F., Nabukenya, J., Nabende, P., Wesonga, R. (2021). On the goodness of fit of parametric and non-parametric data mining techniques: the case of malaria incidence thresholds in Uganda. In Health  Technol. 11 (4): 929-940, IUPESM and Springer-Verlag GmbH Germany. Electronic ISSN: 2190-7196 and Print ISSN: 2190-7188. DOI: https://doi.org/10.1007/s12553-021-00551-9

31.  Nabende, P., Kabiito, D., Babirye, C., Tusiime, H. & Nakatumba-Nabende, J. (2021). Misinformation detection in Luganda-English code-mixed social media text. AfricaNLP 2021 Workshop @ EACL 2021.

30. Nantongo, B., Nabukenya, J. & Nabende, P. (2021). Using data analytics to strengthen monitoring and surveillance of routine immunization coverage for children under one year in Uganda. In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5 HEALTHINF: HEALTHINF, (pp. 549-556). ISBN 978-989-758-490-9. DOI: 10.5220/0010301805490556.


2020

29. Bbosa, F.F., Wesonga, R., Nabende, P. & Nabukenya, J. (2020). Reliability of Predictions using Hybrid Models: The case of Malaria Incidence Rates in Uganda. In Journal of Health Informatics in Africa, 7(2): 29 -46.  Online ISSN: 2197-6902. DOI: 10.12856/JHIA-2020-v7-i2-289.

28. Kamukama, I., Maiga, G., Ssebuggwaawo, D., Nabende, P. & Mansourian, A. (2020). Spatio-temporal trends and distribution patterns of typhoid disease in Uganda from 2012 to 2017. In Geospatial Health 15(2): 326-336. print ISSN: 1827-1987, electronic ISSN: 1970-7096.

27. Ssemambo, A.M., Bagarukayo, E. & Nabende, P. (2020). Computational models for Luganda text recognition and translation from sign images. Accepted. 2020 International Conference on Computational Linguistics and Natural Language Processing, Seoul, South Korea.

26. Nabende, P. (2020). A review and evaluation of machine translation methods for Lumasaaba. In Journal of Digital Science (2)1:3-17. Institute of Certified Specialists. ISSN 2686-8296.

25. Bamutura, D., Ljunglöf, P. & Nabende, P. (2020). Towards computational resource grammars for Runyankore and Rukiga. In Proceedings of the 12th Conference on Language Resources and Evaluation, Marseille, France (pp. 2846-2854), ELRA.

24. Katwesige, J.F., Nabende, P., Kasasa, S., Ssenyonga, R., Nakafeero, M. & Kissa, J. (2020). Integration of DHIS2 and climatic data for disease prediction: A case of malaria occurrence in Gulu District, Uganda. In Proceedings of IST Africa 2020, Kampala, Uganda.


2019

23. Nabende, P. & Senfuma, S. (2019). A study of machine learning models for predicting loan status from Ugandan loan applications. In Proceedings of the 21st International Conference on Artificial Intelligence (pp. 462-468), Luxor (MGM), Las Vegas, Nevada, USA. CSREA Press. ISBN 1-60132-501-0 [presentation]

22. Nabende, P. (2019). Towards data-driven machine translation for Lumasaaba. In: Antipova T., Rocha A. (eds.) Digitial Science. DSIC18 2018. Advances in Intelligent Systems and Computing, vol 850 (pp. 3-11). Springer, Cham. Print ISBN 978-3-030-02350-8 Online ISBN 978-3-030-02351-5. [presentation]


2018

21. Kisakye, E., Nabende, P. & Ackers, J. (2018). Towards a maternal and neo-natal e-learning mobile aided system for rural health centres in Uganda. In Proceedings of the 6th International Conference on mobile technologies for development (M4D 2018), Makerere University, Kampala, Uganda (pp 222-229). Karlstad University. Print ISBN 978-91-7063-886-2 PDF ISBN 978-91-7063-981-4 ISSN 1403-8099.

20. Rutabisa, K. & Nabende, P. (2018). MOBICAP: A mobile app prototype for detection of criminals at country borders in low resource contexts. The case of Uganda. In Proceedings of the 6th International Conference on mobile technologies for development (M4D 2018), Makerere University, Kampala, Uganda (pp. 239-248). Karlstad University. Print ISBN 978-91-7063-886-2 PDF ISBN 978-91-7063-981-4 ISSN 1403-8099.

19. Magumba, M.A., Nabende, P., & Mwebaze, E. (2018). Design choices for automated disease surveillance in the social Web. In Online Journal of Public Health Informatics (10) 2: e214. ISSN 1947-2579.

18. Magumba, M.A., Nabende, P., & Mwebaze, E. (2018). Ontology boosted deep learning for disease name extraction from Twitter messages. In Journal of Big Data (2018) 5: 31. Springer International Publishing. Online ISSN 2196-1115.

17. Magumba, M.A., Nabende, P., & Mwebaze, E. (2018). Message classification for generalized disease incidence detection with topologically derived concept embeddings. In: Stahlbock, R., Weiss, G.M., & Abou-Nasr, M. (eds) Proceedings of the 2018 International Conference on Data Science, Las Vegas, Nevada, USA (pp 42-48). CSREA Press. ISBN: 1-60132-481-2.


2017

16. Magumba M.A., Nabende, P., & Mwebaze, E. (2017). Ontology-driven machine learning approach for disease name extraction from Twitter messages. In Proceedings of the 2017 and the 2nd IEEE International Conference of Computational Intelligence and Applications (ICCIA 2017), Beijing, China (pp 68-73). Print on Demand (PoD) ISBN 978-1-5386-2031-1/ Electronic ISBN 978-1-5386-2030-4 / CD ROM ISBN 978-1-5386-2029-8 [won Best presentation in session by Magumba, M. A.].

15. Muchake, B., Nabende, P., Tushabe, F., & Namukangula, K. J. (2017). The application of the Lusoga-English bilingual parallel corpus framework. Ndejje University Journal, vol 6 (pp 72-85).

14. Nyende, H., Ask, U., & Nabende, P. (2017). Adopting a service dominant logic to prediction of pregnancy complications: An exploratory study of maternal healthcare in Uganda. In Proceedings of the 25th European Conference on Information Systems, Guimarães, Portugal (pp 1145-1160). ISBN 978-0-9915567-0-0.

13. Magumba M.A., & Nabende P. (2017). An Ontology for Generalized Disease Incidence Detection on Twitter. In: Martínez de Pisón F., Urraca R., Quintián H., Corchado E. (eds) Hybrid Artificial Intelligent Systems. HAIS 2017. Lecture Notes in Computer Science, vol 10334 (pp 38-51). Springer, Cham. Print ISBN 978-3-319-59649-5 / Online ISBN 978-3-319-59650-1.


2015

12. Nabende P. (2015). An Evaluation of N-Gram Correspondence Models for Transliteration Detection. In: Elleithy K., Sobh T. (eds) New Trends in Networking, Computing, E-learning, Systems Sciences, and Engineering. Lecture Notes in Electrical Engineering, vol 312 (pp 615-622). Springer, Cham. Print ISBN 978-3-319-06763-6 / Online ISBN 978-3-319-06764-3.


2011

11. Nabende, P. (2011, September). Mining transliterations from Wikipedia using dynamic Bayesian networks. In G. Angelova, K. Bontacheva, R. Mitkov, and N. Nikolov (eds.), Proceedings of the International Conference on Recent Advances in Natural Language Processing (pp 385-391), Hissar, Bulgaria. ISSN 13138502


2010

10. Nabende, P. (2010, July). Mining transliterations from Wikipedia using pair HMMs. In A Kumaran and H. Li (eds.), Proceedings of the 2010 Named Entities Workshop (pp. 76-80). Association for Computational Linguistics. ISBN 978-1-932432-78-7 / 1-932432-78-7.

9.   Nabende, P. (2010). Comparison of applying Pair HMMs and DBN models in transliteration identification. In E. Westerhout, T. Markus, and P. Monachesi (eds.), Selected papers from the 20th Computational Linguistics in Netherlands meeting (pp. 107-122), Utrecht, The Netherlands. LOT Janskekhof 13, 3512 BL Utrecht, The Netherlands. ISBN 978-94-6093-047-8.

8.   Nabende P., Tiedemann J.,  & Nerbonne J. (2010) Pair Hidden Markov Model for Named Entity Matching. In: Sobh T. (eds) Innovations and Advances in Computer Sciences and Engineering (pp 497-502). Springer, Dordrecht. Print ISBN 978-90-481-3657-5 / Online ISBN 978-90-481-3658-2.

7.   Nabende, P. (2010, May). Applying a dynamic Bayesian network framework to transliteration identification. In N. Calzolari, K. Choukri, B. Maegaard, J. Mariani, J. Odijk, S. Piperidis, M. Rosner, and D. Tapias (eds.), Proceedings of the 7th Language Resources and Evaluation Conference (pp 244-251), Valletta Malta. European Language Resources Association (ELRA). ISBN 2-9517408-6-7.

6.   Mwebaza, M., Mnzava, E., Nakatumba, J., & Nabende, P. (2010). Towards Web-based Productivity Analysis and Reporting. In J.M. Kizza, K. Lynch, R. Nath, and J. Aisbett (eds.), Special Topics in Computing and ICT Research: Strengthening the role of ICT in development (pp 71-81). Fountain Publishers, Kampala, Uganda. ISBN 978-9970-25-015-8.


2009

5.   Tiedemann, J., & Nabende, P. (2009). Translating transliterations. In International Journal of Computing and ICT Research, Special Issue, Vol. 3, No 1, pp 33-41. ISSN 1996-1065 (Online)

4.   Nabende, P., Ahimbisibwe, B., & Lubega, J. T. (2009). Relationship between information systems development paradigms and methods. In J.M. Kizza, K. Lynch, R. Nath, J. Aisbett, anf P. Vir (eds.), Special Topics in Computing and ICT Research: Strengthening the role of ICT in development (pp 75-84), Fountain Publishers, Uganda. ISBN 978-9970-02-738-5.

3.   Nabende, P. (2009, August). Transliteration system using pair HMM with weighted FSTs . In Proceedings of the 2009 Named Entities Workshop: Shared Task on Transliteration (pp. 100-103), Suntec Singapore. Association for Computational Linguistics. ISBN 978-1-932432-57-2/1-932432-57-4.

2.   Nabende, P. (2009, May). Evaluation of dynamic Bayesian network models for entity name transliteration. In Menno van Zaanen, Marieke van Erp, and Herman Stehouwer (eds.), Proceedings of the 18th Annual Belgian-Dutch Conference on Machine Learning (BeNeLearn 09) (pp. 99-100), Tilburg, The Netherlands.


2008

1.   Nabende P., Wanyama T. (2008) An Expert System for Diagnosing Heavy-Duty Diesel Engine faults. In: Sobh T. (eds) Advances in Computer and Information Sciences and Engineering. Springer, Dordrecht. Print ISBN 978-1-4020-8740-0 / Online ISBN 978-1-4020-8741-7.


Book(s) & Report(s)