A Survey of Machine Learning Approaches and Techniques for Student Dropout Prediction. - Neema Mduma; Khamisi Kalegele; Dina Machuve (Data Sci. J., 2019)

Mobile-Based Deep Learning Models for Banana Diseases Detection. - Sophia Sanga; Victor Mero; Dina Machuve; Davis Mwanganda (CoRR, 2020)

Proceedings of the ICLR Workshop on Computer Vision for Agriculture (CV4A) 2020. - Yannis Kalantidis; Laura Sevilla-Lara; Ernest Mwebaze; Dina Machuve; Hamed Alemohammad; David Guerena (CoRR, 2020)

Mobile Application for Gate Pass Management System Enhancement. - Rambo Hilary; Dina Machuve; Silas Mirau (AFRICON, 2021)

Design of a Passenger Security and Safety System for the Kayoola EVs Bus. - Ivan Koojo; Dina Machuve; Silas Mirau; Simon Peter Miyingo (AFRICON, 2021)

Warehouse Management System Enhancement: A Case Study of ATOZ Textiles Limited. - Beatus Mbunda; Dina Machuve; Silas Mirau (AFRICON, 2021)

Machine Learning Model for Predicting Student Dropout: A Case of Tanzania, Kenya and Uganda. - Neema Mduma; Dina Machuve (AFRICON, 2021)

Document Digitization Technology and Its Application in Tanzania. - Mbonimpaye John; Beatus Mbunda; Victor Willa; Neema Mduma; Dina Machuve; Shubi Felix Kaijage (IntelliSys (2), 2021)

Segmentation of Tuta Absoluta's Damage on Tomato Plants: A Computer Vision Approach. - Loyani K. Loyani; Karen L. Bradshaw; Dina Machuve (Appl. Artif. Intell., 2021)

Poultry diseases diagnostics models using deep learning. - Dina Machuve; Ezinne Nwankwo; Neema Mduma; Jimmy T. Mbelwa (Frontiers Artif. Intell., 2022)

Corrigendum: Poultry diseases diagnostics models using deep learning. - Dina Machuve; Ezinne Nwankwo; Neema Mduma; Jimmy T. Mbelwa (Frontiers Artif. Intell., 2022)

Report on the 2nd ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO 2022). - Elena Falcettoni; Dina Machuve; Bryan Wilder; Angela Zhou (SIGecom Exch., 2023)