| A few thousand translations go a long way! leveraging pre-trained models for african news translation DI Adelani, JO Alabi, A Fan, J Kreutzer, X Shen, M Reid, D Ruiter, ... arXiv preprint arXiv:2205.02022, 2022 | 39 | 2022 |
| Translating transliterations J Tiedemann, P Nabende International Journal of Computing and ICT Research 3 (1), 33-41, 2009 | 24 | 2009 |
| Masakhaner 2.0: Africa-centric transfer learning for named entity recognition DI Adelani, G Neubig, S Ruder, S Rijhwani, M Beukman, C Palen-Michel, ... arXiv preprint arXiv:2210.12391, 2022 | 23 | 2022 |
| Ontology boosted deep learning for disease name extraction from Twitter messages MA Magumba, P Nabende, E Mwebaze Journal of Big Data 5, 1-19, 2018 | 21 | 2018 |
| Transliteration System using pair HMM with weighted FSTs P Nabende Proceedings of the 2009 Named Entities Workshop: Shared Task on …, 2009 | 20 | 2009 |
| An expert system for diagnosing heavy-duty diesel engine faults P Nabende, T Wanyama Advances in computer and information sciences and engineering, 384-389, 2008 | 19 | 2008 |
| Guyo Jarso, Oreen Yousuf, Andre Niyongabo Rubungo, Gilles Hacheme, Eric Peter Wairagala, Muhammad Umair Nasir D Adelani, J Alabi, A Fan, J Kreutzer, X Shen, M Reid, D Ruiter, D Klakow, ... | 15 | 2022 |
| Pair hidden Markov model for named entity matching P Nabende, J Tiedemann, J Nerbonne Innovations and advances in computer sciences and engineering, 497-502, 2010 | 13 | 2010 |
| An Ontology for Generalized Disease Incidence Detection on Twitter MA Magumba, P Nabende Hybrid Artificial Intelligence Systems, Lecture Notes in Computer Science …, 2017 | 12 | 2017 |
| Mining transliterations from wikipedia using pair hmms P Nabende Proceedings of the 2010 Named Entities Workshop, 76-80, 2010 | 10 | 2010 |
| Applying dynamic Bayesian Networks in transliteration detection and generation P Nabende | 9 | 2011 |
| Spatio-temporal trends and distribution patterns of typhoid disease in Uganda from 2012 to 2017 K Ismail, G Maiga, D Ssebuggwawo, P Nabende, A Mansourian Geospatial health 15 (2), 2020 | 8 | 2020 |
| Relationship between information systems development paradigms and methods P Nabende, B Ahimbisibwe, JT Lubega Special topics in computing and ICT research: Strengthening the role of ICT …, 2009 | 8 | 2009 |
| Evaluation of different machine learning approaches and input text representations for multilingual classification of tweets for disease surveillance in the social web MA Magumba, P Nabende Journal of big data 8 (1), 139, 2021 | 7 | 2021 |
| On the goodness of fit of parametric and non-parametric data mining techniques: the case of malaria incidence thresholds in Uganda FF Bbosa, J Nabukenya, P Nabende, R Wesonga Health and Technology 11 (4), 929-940, 2021 | 7 | 2021 |
| Towards computational resource grammars for runyankore and rukiga D Bamutura, P Ljunglof, P Nabende European Language Resources Association, 2020 | 7 | 2020 |
| MasakhaPOS: part-of-speech tagging for typologically diverse African languages CMB Dione, D Adelani, P Nabende, J Alabi, T Sindane, H Buzaaba, ... arXiv preprint arXiv:2305.13989, 2023 | 6 | 2023 |
| Misinformation detection in Luganda-English code-mixed social media text P Nabende, D Kabiito, C Babirye, H Tusiime, J Nakatumba-Nabende arXiv preprint arXiv:2104.00124, 2021 | 6 | 2021 |
| A study of machine learning models for predicting loan status from Ugandan loan applications P Nabende, S Senfuma Proceedings of the 2019 International Conference on Artificial Intelligence …, 2019 | 5 | 2019 |
| Ontology driven machine learning approach for disease name extraction from twitter messages MA Magumba, P Nabende, E Mwebaze 2017 2nd IEEE International Conference on Computational Intelligence and …, 2017 | 5 | 2017 |
