Predicting student's dropout in university classes using two-layer ensemble machine learning approach: A novel stacked generalization. - Jovial Niyogisubizo; Lyuchao Liao; Eric Nziyumva; Evariste Murwanashyaka; Pierre Claver Nshimyumukiza (Comput. Educ. Artif. Intell., 2022)

A Novel Deep Learning Approach Featuring Graph-Based Algorithm for Cell Segmentation and Tracking. - Keliang Zhao; Jovial Niyogisubizo; Linxia Xiao; Yi Pan 001; Dongqing Wei; Didi Rosiyadi; Yanjie Wei (BIBM, 2023)

Predicting traffic crash severity using hybrid of balanced bagging classification and light gradient boosting machine. - Jovial Niyogisubizo; Lyuchao Liao; Fumin Zou; Guangjie Han; Eric Nziyumva; Ben Li; Yuyuan Lin (Intell. Data Anal., 2023)

Predicting Crash Injury Severity in Smart Cities: a Novel Computational Approach with Wide and Deep Learning Model. - Jovial Niyogisubizo; Lyuchao Liao; Qi Sun 004; Eric Nziyumva; Yongqiang Wang; Linsen Luo; Shukun Lai; Evariste Murwanashyaka (Int. J. Intell. Transp. Syst. Res., 2023)

Attention-Guided Residual U-Net with SE Connection and ASPP for Watershed-Based Cell Segmentation in Microscopy Images. - Jovial Niyogisubizo; Keliang Zhao; Jintao Meng 001; Yi Pan 001; Didi Rosiyadi; Yanjie Wei (J. Comput. Biol., 2025)