| 2023 | IWANN | X-ELM: A Fast Explainability Approach for Extreme Learning Machines. | Brandon Warner, Edward R. Ratner, Amaury Lendasse |
| 2021 | ESANN | A Multi-ELM Model for Incomplete Data. | Baichuan Chi, Amaury Lendasse, Edward R. Ratner, Renjie Hu |
| 2021 | ESANN | NNBMSS: a Novel and Fast Method for Model Structure Selection. | Amaury Lendasse, Kallin Khan, Edward R. Ratner |
| 2020 | IJCNN | Feature Bagging and Extreme Learning Machines: Machine Learning with Severe Memory Constraints. | Kallin Khan, Edward R. Ratner, Robert Ludwig, Amaury Lendasse |
| 2017 | HAIS | Solve Classification Tasks with Probabilities. Statistically-Modeled Outputs. | Andrey Gritsenko, Emil Eirola, Daniel Schupp, Edward R. Ratner, Amaury Lendasse |
| 2015 | ACSSC | Fractal-based analysis for foreground detection. | Daniel Raburn, Edward R. Ratner |
| 2015 | ACSSC | Object recognition in complex video scenes for advertising applications. | Edward R. Ratner, Schuyler Cullen, James Quigley |
| 2003 | AMIA | A Novel Way of Distributing Medical Practice Guidelines Using Personal Digital Assistants (PDA). | Branko Strok, Stuart M. Speedie, Edward R. Ratner |