Publications

2023

• Rahman, S., Nabiryo, A.L., Tusubira, J.F., Murindanyi, S., Katumba, A. and Nakatumba-Nabende, J., 2023. Coffee and Cashew Nut Dataset: A Dataset for Detection, Classification, and Yield Estimation for Machine Learning Applications. Data in Brief, p.109952. https://doi.org/10.1016/j.dib.2023.109952

• Kabukye, J.K., Namugga, J., Mpamani, C.J., Katumba, A., Nakatumba-Nabende, J., Nabuuma, H., Musoke, S.S., Nankya, E., Soomre, E., Nakisige, C. and Orem, J., 2023. Implementing Smartphone-Based Telemedicine for Cervical Cancer Screening in Uganda: Qualitative Study of Stakeholders’ Perceptions. Journal of Medical Internet Research, 25, p.e45132.

• Nakatumba-Nabende, Joyce, Claire Babirye, Jeremy Francis Tusubira, Henry Mutegeki, Ann Lisa Nabiryo, Sudi Murindanyi, Andrew Katumba et al. Using machine learning for image-based analysis of sweetpotato root sensory attributes. Smart Agricultural Technology 5 (2023): 100291.

• Owomugisha, G., Nakatumba-Nabende, J., Dhikusooka, J.J., Taravera, E., Nuwamanya, E. and Mwebaze, E. 2023. A labeled spectral dataset with cassava disease occurrences using virus titre determination protocol. Data in Brief, 49, p.109387.

• Nakatumba-Nabende, J., Suuna, C., Bainomugisha, E. (2023). AI Ethics in Higher Education: Research Experiences from Practical Development and Deployment of AI Systems. In: Corrigan, C.C., Asakipaam, S.A., Kponyo, J.J., Luetge, C. (eds) AI Ethics in Higher Education: Insights from Africa and Beyond. SpringerBriefs in Ethics. Springer, Cham. https://doi.org/10.1007/978-3-031-23035-6_4

• Opio, R., Mugume, I., Nakatumba-Nabende, J., & Mbogga, M. (2023). Modeling the atmospheric dispersion of SO2 from Mount Nyiragongo. Journal of African Earth Sciences, 197, 104771. https://doi.org/10.1016/j.jafrearsci.2022.104771

• Opio, R., Mugume, I., Nakatumba-Nabende, J., Nimusiima, A. and Okurut, I.T., 2023. The impact of global changes in near-term climate forcers on East Africa’s climate. Environmental Systems Research, 12(1), p.16.

• Ellington, L.E., Najjingo, I., Stout, J.W., Nakatumba-Nabende, J., Mutebi, C., Edelson, J., Farquhar, S., Weiner, B.J., John-Stewart, G., Rosenfeld, M. and Nantanda, R., 2023. Evaluating a Mobile Health Tool to Guide Management of Acute Pediatric Respiratory Illnesses: A Pilot Feasibility Study in 2 Ugandan Primary Care Health Centers. In C25. OPPORTUNITIES AND ADVANCES IN PEDIATRIC GLOBAL HEALTH (pp. A4634-A4634). American Thoracic Society.

2022

• Nameere-Kivunike, F., Gamukama, E.A., Nakatumba-Nabende, J., Mutembesa, D., Tusubira, J.F., Nsumba, S., Omongo, C.A. and Namanya, G., Assessing the contribution of the Adhoc crop health surveillance tool on the food security and livelihoods of smallholder farmers in Uganda. The Electronic Journal of Information Systems in Developing Countries, p.e12249. https://doi.org/10.1002/isd2.12249

• Nakatumba-Nabende, J., Nabiryo, A.L., Babirye, C., Tusubira, J.F., Katumba, A., Murindanyi, S., Mutegeki, H., Nantongo, J.S., Sserunkuma, E., Nakitto, M. and Ssali, R.. Predicting sweetpotato sensory attributes using image analysis. DigiEye and image analysis as a breeding tool. RTB Foods Project report, 2022 https://doi.org/10.18167/agritrop/00733

• Nakatumba-Nabende, J., Katumba, A., Murindanyi, S., Nabiryo, A.L., Babirye, C., Tusubira, J.F., Mutegeki, H., Nantongo, J.S., Sserunkuma, E. and Ssali, R. Standard operating procedure for image capture in sweetpotato and potato, and sensory attribute prediction. Work package 3., RTB Foods Project Report, 2022 https://doi.org/10.18167/agritrop/00722

• Opio, R., Mugume, I., Nakatumba-Nabende, J., Nanteza, J., Nimusiima, A., Mbogga, M., & Mugagga, F. (2022). Evaluation of WRF-chem simulations of NO2 and CO from biomass burning over East Africa and its surrounding regions. Terrestrial, Atmospheric and Oceanic Sciences, 33(1), 1-16. https://doi.org/10.1007/s44195-022-00029-9

• Ifeoluwa Adelani, D., Neubig, G., Ruder, S., Rijhwani, S., Beukman, M., Palen-Michel, C., ... & Klakow, D. (2022). MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition. arXiv e-prints, arXiv-2210 Proceedings of The 2022 Conference on Empricial Methods in Natural Language Processing. 

• Wairagala, E. P., Mukiibi, J., Tusubira, J. F., Babirye, C., Nakatumba-Nabende, J., Katumba, A., & Ssenkungu, I. Gender Bias Evaluation in Luganda-English Machine Translation. In Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track) (pp. 274-286).

• Spurr, R., Ng, E., Onchiri, F.M., Rapha, B., Nakatumba-Nabende, J., Rosenfeld, M., Najjingo, I., Stout, J.W., Nantanda, R. and Ellington, L.E., 2022. Performance and usability of a new mobile application for measuring respiratory rate in young children with acute lower respiratory infections. Pediatric Pulmonology.

• Mukiibi, J., Katumba, A., Nakatumba-Nabende, J., Hussein, A., & Meyer, J. (2022, June). The Makerere Radio Speech Corpus: A Luganda Radio Corpus for Automatic Speech Recognition. In Proceedings of the Thirteenth Language Resources and Evaluation Conference (pp. 1945-1954).

• Ogenrwot, D., Tabo, G. O., Aber, K., & Nakatumba-Nabende, J. (2022, June). From Undergraduate (Software) Capstone Projects to Start-ups: Challenges and Opportunities in Higher Institutions of Learning. In Proceedings of the Federated Africa and Middle East Conference on Software Engineering (pp. 73-82).

• Spurr, R., Ng, E., Onchiri, F., Sekyodwa, B., Nakatumba-Nabende, J., Rosenfeld, M., ... & Ellington, L. (2022). Performance and Usability of a New Mobile Phone Application in Assessing Respiratory Rate in Pediatric Patients. In A52. PEDIATRIC LUNG INFECTIONS (pp. A1771-A1771). American Thoracic Society.

• Nakatumba-Nabende, J., Tusubira, J. F., Babirye, C., Nsumba, S., & Abu, C. O. (2022). A dataset of cassava whitefly count images. Data in Brief, 41, 107911. https://doi.org/10.1016/j.dib.2022.107911

• Akera, B., Mukiibi, J., Naggayi, L.S., Babirye, C., Owomugisha, I., Nsumba, S., Nakatumba-Nabende, J., Bainomugisha, E., Mwebaze, E. and Quinn, J., 2022, March. Machine Translation For African Languages: Community Creation Of Datasets And Models In Uganda. In 3rd Workshop on African Natural Language Processing.

• Babirye, C., Nakatumba-Nabende, J., Katumba, A., Ogwang, R., Francis, J.T., Mukiibi, J., Ssentanda, M., Wanzare, L.D. and David, D., 2022, March. Building Text and Speech Datasets for Low Resourced Languages: A Case of Languages in East Africa. In 3rd Workshop on African Natural Language Processing.

• Tobius, B. S., Babirye, C., Nakatumba-Nabende, J., & Katumba, A. (2022, March). A Comparison of Topic Modeling and Classification Machine Learning Algorithms on Luganda Data. In 3rd Workshop on African Natural Language Processing.

2021

• Adelani D. I., Abbott J., Neubig G., D'souza D., Kreutzer J., Lignos C., Palen-Michel C., Buzaaba H., Rijhwani S., Ruder S., Mayhew, S., Abebe Azime I., Muhammad S., Emezue C.C, Nakatumba-Nabende J., Ogayo P., Aremu A., Gitau C., Mbaye D., Alabi J., Yimam S. M., Gwadabe T., Ezeani I., Niyongabo R. A., Mukiibi J., Otiende V., Orife I., David D., Ngom S., Adewumi T., Rayson P., Adeyemi M., Muriuki G., Anebi E., Chukwuneke C., Odu N., Wairagala E.  P., Oyerinde S., Siro C., Bateesa T. S., Oloyede T., Wambui Y., Akinode V., Nabagereka D., Katusiime A., Awokoya A., MBOUP M., Gebreyohannes D., Tilaye H., Nwaike K., Wolde D., Faye A., Sibanda B., Ahia O., Dossou B. F. P., Ogueji K., Ibrahima DIOP T., Diallo A., Akinfaderin A., Marengereke T., Osei S., MasakhaNER: Named Entity Recognition for African Languages. Transactions of the Association for Computational Linguistics Vol 9: 1116–1131. DOI available: https://doi.org/10.1162/tacl_a_00416

• M. Kuhrmann, P. Tell, R. Hebig, J. Klünder, J. Münch, O. Linssen, D. Pfahl, M. Felderer, C. R. Prause, S. G. MacDonell, J. Nakatumba-Nabende, D. Raffo, S. Beecham, E. Tu ̈zu ̈n, G. Lo ́pez, N. Paez, D. Fontdevila, S. A. Licorish, S. Ku ̈pper, G. Ruhe, E. Knauss, O ̈zdenÖzcan-Top, P. Clarke, F. McCaffery, M.  Genero, A. Vizcaino, M. Piattini, M. Kalinowski, T. Conte, R. Prikladnicki, S. Krusche, A. Coskunc ̧ay, E. Scott, F. Calefato, S. Pimonova, R. Pfeiffer, U. P. Schultz, R. Heldal, M. Fazal-Baqaie, C. Anslow, M. Nayebi, K. Schneider, S. Sauer, D. Winkler, S. Biffl, M.Cecilia Bastarrica. What Makes Agile Software Development Agile? Accepted for publication in Transactions of Software Engineering Journal (2021)

• Nakatumba-Nabende, J. Leveraging AI. Feminist AI (2021) 

• Ogenrwot, D., Nakatumba-Nabende, J., Chaudron, M. R. V. Integration of Design Smells and Role-Stereotypes Classification Dataset. Data in Brief Elsevier Journal Data in Brief, p.107125 Volume 36, June 2021, 107125 (2021)

• 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 Conference.

• Nakasi R., Rwakazooba A. E., Nakatumba J.  A Poster on Intestinal Parasite Detection in Stool Sample Using AlexNet and GoogleNet Architectures. COMPASS '21: ACM SIGCAS Conference on Computing and Sustainable Societies (COMPASS) June 2021  Pages 389–395 https://doi.org/10.1145/3460112.3472309

• Opio, R.; Mugume, I.; Nakatumba-Nabende, J. Understanding the Trend of NO2, SO2 and CO over East Africa from 2005 to 2020. Atmosphere 12, 1283. https://doi.org/10.3390/ atmos12101283 (2021)

• Kabiito D., Nakatumba-Nabende J. (2021) Targeted Aspect-Based Sentiment Analysis for Ugandan Telecom Reviews from Twitter. 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. Transactions on Computational Science and Computational Intelligence. Springer, Cham. https://doi.org/10.1007/978-3-030-70296-0_24

• Nabende P., Senfuma S., Nakatumba-Nabende 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. Transactions on Computational Science and Computational Intelligence. Springer, Cham. https://doi.org/10.1007/978-3-030-70296-0_35

2020

• Ogenrwot, D., Nakatumba-Nabende, J., Chaudron, M. R. V. . Comparison of Occurrence of Design Smells in Desktop and Mobile Applications. In Proceedings of the 2020 African Conference on Software Engineering (ACSE 2020), Nairobi, Kenya. CEUR Workshop Proceedings ISSN 1613-0073, vol. 2689, CEUR-WS.org, 2020 urn:nbn:de:0074-2689-6 

• Nakatumba-Nabende, J., Akera, B., Tusubira, J. F., Nsumba, S., & Mwebaze, E. (2020). A dataset of necrotized cassava root cross-section images. Data in Brief, 32, 106170. https://doi.org/10.1016/j.dib.2020.106170 

• Tusubira, J. F., Nsumba, S., Ninsiima, F., Akera, B., Acellam, G., Nakatumba, J., Mwebaze, E., Quinn, J. A., & Oyana, T. (2020). Improving in-field cassava whitefly pest surveillance with machine learning. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (pp. 68-69). 10.1109/CVPRW50498.2020.00042

• Tusubira, J. F., Akera, B., Nsumba, S., Nakatumba-Nabende, J., & Mwebaze, E. (2020). Scoring root necrosis in cassava using semantic segmentation. PPoster in IEEE CVPR 2020 Workshop.

• Kasauli, R., Knauss, E., Nakatumba-Nabende, J., & Kanagwa, B. (2020). Agile islands in a waterfall environment: Challenges and strategies in automotive. In Proceedings of the Evaluation and Assessment in Software Engineering (pp. 31-40). https://doi.org/10.1145/3383219.3383223

• Muyama, L., Nakatumba-Nabende, J., & Mudali, D. (2021). Automated detection of tuberculosis from sputum smear microscopic images using transfer learning techniques. In Intelligent Systems Design and Applications: 19th International Conference on Intelligent Systems Design and Applications (ISDA 2019) held December 3-5, 2019 19 (pp. 59-68). Springer International Publishing. https://doi.org/10.1007/978-3-030-49342-4_6

2019

• J. Klünder, R. Hebig, P. Tell, M. Kuhrmann, J. Nakatumba-Nabende, R. Heldal, S. Krusche, M. Fazal-Baqaie, M. Felderer, M. Fabiana Genero Bocco, S. Küpper, S. A. Licorish, G. López, F.Mc Caffery, Ö. Ö. Top, C. Prause, R. Prikladnicki, E. Tüzün, D. Pfahl, K. Schneider, S. MacDonell. Catching up with Method and Process Practice: An Industry-Informed Baseline for Researchers.   In Proceedings of the 41st International Conference on Software Engineering (Software Engineering in Practice Track). IEEE, May 2019.

• M. Kuhrmann, J. Nakatumba-Nabende, R. Schneiderl, P. Tell, J. Klünder, T. Conte, S. G. MacDonell, R. Hebig. Walking through the Method Zoo: Does Higher Education really meet Software Industry Demands? In Proceedings of the 41st International Conference on Software Engineering (Software Engineering in Education Track). IEEE, May 2019.

• B. Akera, J. Nakatumba-Nabende. Keyword Spotter Model for Crop Pest and Disease Monitoring from Community Radio Data. NeurIPS 2019 Workshop on Machine Learning for the Developing World. 

• J. Nakatumba-Nabende,  SEiA 2019 Keynote Speeches in 2019 IEEE/ACM Symposium on Software Engineering in Africa (SEiA) DOI: 10.1109/SEiA.2019.00013

• J. Nakatumba-Nabende, B. Kanagwa, F. N. Kivunike and M. Tuape: Evaluation of Accessibility Standards on Ugandan e-Government Websites. Electronic Government, an Int. Journal, Vol 15, No.4 (2019) pp. 355-371, DOI: 10.1504/EG.2019.10019011

2017

• J. Nakatumba-Nabende, B. Kanagwa, R. Hebig and R. Heldal and E. Knauss (2017). Hybrid Software and Systems Development in Practice: Perspectives from Sweden and Uganda. In: Felderer M., Méndez Fernández D., Turhan B., Kalinowski M., Sarro F., Winkler D. (eds) Product-Focused Software Process Improvement. PROFES 2017. Lecture Notes in Computer Science, vol 10611. Springer, Cham

• B. Kanagwa, J. Nakatumba-Nabende, R. Mugwanya, E. Kigozi Kahiigi, and S. Ngabirano (2017).  Towards an Interoperability e-Government Framework for Uganda.  Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering series (LNICST, volume 250)

2013

• J. Nakatumba (2013). Resource-Aware Business Process Management: Analysis and Support. PhD Thesis. Eindhoven University of Technology. 

2012

• J. Nakatumba and M. Westergaard and W.M.P. van der Aalst  (2012). An Infrastructure for Cost-Effective Testing of Operational Support Algorithms Based on Colored Petri Nets.  Proceedings of the 33rd International Conference on Applications and Theory of Petri Nets. Springer Vol. 7347 pp. 308-327.

• J. Nakatumba and M. Westergaard and W.M.P. van der Aalst (2012). Generating Event Logs with Workload-Dependent Speeds from Simulation Models. Proceedings of the 8th Workshop on Enterprise and Organizational Modeling and Simulation, eds. M. Bajec and J. Eder. Springer Vol. 112 pp. 383-397.

• J. Nakatumba and M. Westergaard and W.M.P. van der Aalst (2012).  A Meta-model for Operational Support. BPM Center Report BPM-12-05, BPMcenter.org.

2010

• W.M.P. van der Aalst and J. Nakatumba and A. Rozinat and N. Russell (2010). Business Process Simulation. Handbook on Business Process Managemen eds. J. vom Brocke and M. Rosemann. Springer pp. 313--338.

• M. Mwebaza and E. Mnzava and J. Nakatumba and P. Nabende (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

• J. Nakatumba and W.M.P. van der Aalst (2009).  Analyzing Resource Behavior Using Process Mining.  Proceedings of the 5th Workshop on Business Process Intelligence. Eds. S. Rinderle and S. Sadiq and F. Leymann. Springer Vol.43 pp. 69-80.

2008

• W.M.P. van der Aalst and J. Nakatumba and A. Rozinat and N. Russell (2008). Business Process Simulation: How to Get it Right? Computer Science Report No. 08-21. Technische Universiteit Eindhoven.