[1] P Gatabazi, G Kabera, JC Mba, E Pindza and SF Melesse (2022). Cryptocurrencies and tokens lifetime analysis from 2009 to 2021, Economies, 10 (3) 60.
[2] E Tuyishimire, W Mabuto, P Gatabazi and S Bayisingize (2022). Detecting Learning
Patterns in Tertiary Education Using K-Means Clustering, Information, 13, 94.
[3] E Tuyishimire, J D D Niyigena, F M Tubanambazi, J U Rutikanga, P Gatabazi, A Bagula
and E Niyigaba (2022). A novel epidemic model for the interference spread in the internet
of things, Information, 13 (4), 181.
[4] P Gatabazi, J C Mba and E Pindza (2019). Modeling Cryptocurrencies
transaction counts using variable-order Fractional Grey Lotka–Volterra Dynamical
System, Chaos, Solitons & Fractals, 127, 283-290.
[5] P Gatabazi, J C Mba, E Pindza (2019). Fractional Grey Lotka–Volterra models
With application to cryptocurrencies adoption, Chaos, 29 (7), 073116.
[6] P Gatabazi, J C Mba, E Pindza and C Labuschagne (2019). Grey Lotka–Volterra
Models with application to cryptocurrencies adoption, Chaos, Solitons & Fractals,
122, 47-57.
[7] P Gatabazi, S F Melesse, and S Ramroop (2020). Comparison of three classes
of Marginal Risk set model in predicting infant mortality among newborn babies at
Kigali University Teaching Hospital, Rwanda, 2016. BMC Pediatrics, 20, No 62.
[8] P Gatabazi, S F Melesse and S Ramroop (2019). Resampled Cox Proportional
Hazards Models for Infant Mortality at the Kigali University Teaching Hospital, The
Open Public Health Journal, 13, 136-144.
[9] P Gatabazi, S F Melesse and S Ramroop (2019). Infant mortality at the Kigali
University Teaching Hospital: Application of Aalen additive hazards model and
comparison with other classical survival models. African Population Studies, 33 (2),
4834-4851.
[10] P Gatabazi, S F Melesse and S Ramroop (2018). Multiple events Model for the
infant mortality at Kigali University Teaching Hospital, The Open Public Health
Journal, 11, 464-473.