| Poultry diseases diagnostics models using deep learning D Machuve, E Nwankwo, N Mduma, J Mbelwa Frontiers in Artificial Intelligence 5, 733345, 2022 | 22 | 2022 |
| Topic modeling approaches for understanding COVID-19 misinformation spread in sub-Saharan Africa E Nwankwo, C Okolo, C Habonimana Proceedings of the AI Social Good Workshop; Harvard University: Cambridge …, 2020 | 7 | 2020 |
| Machine Learning Dataset for Poultry Diseases Diagnostics-PCR annotated D Machuve, E Nwankwo, E Lyimo, E Maguo, C Munisi Zenodo, Dec, 2021 | 6 | 2021 |
| Africa's social contract with AI E Nwankwo, B Sonna XRDS: Crossroads, The ACM Magazine for Students 26 (2), 44-48, 2019 | 4 | 2019 |
| Corrigendum: Poultry diseases diagnostics models using deep learning D Machuve, E Nwankwo, N Mduma, J Mbelwa Frontiers in Artificial Intelligence 5, 1016695, 2022 | 3 | 2022 |
| Interpreting AI and its place in our worlds CT Wolf, E Nwankwo XRDS: Crossroads, The ACM Magazine for Students 25 (3), 8-9, 2019 | 1 | 2019 |
| A resource-constrained stochastic scheduling algorithm for homeless street outreach and gleaning edible food CM Artman, A Mate, E Nwankwo, A Heching, T Idé, K Shanmugam, ... arXiv preprint arXiv:2403.10638, 2024 | | 2024 |
| How Sensitive Is Your Data: Sensitivity Analysis for Missing Data and Enhanced Tipping Point Displays for a Simulated 2^ 2 Factorial Designed Experiment ES Nwankwo | | 2017 |
Cynthia HabonimanaComputer Science / Machine LearningVerified email at student.csulb.edu
