A Novel Way of Distributing Medical Practice Guidelines Using Personal Digital Assistants (PDA). - Branko Strok; Stuart M. Speedie; Edward R. Ratner (AMIA, 2003)

VALUE: Virtual Assisted Living Umbrella for the Elderly - user patterns. - Stanley M. Finkelstein; Stuart M. Speedie; Xinyu Zhou; Edward R. Ratner; Sandra J. Potthoff (EMBC, 2006)

Fractal-based analysis for foreground detection. - Daniel Raburn; Edward R. Ratner (ACSSC, 2015)

Object recognition in complex video scenes for advertising applications. - Edward R. Ratner; Schuyler Cullen; James Quigley (ACSSC, 2015)

Adaptive Segmentation based on a Learned Quality Metric. - Iuri Frosio; Edward R. Ratner (VISAPP (1), 2015)

Solve Classification Tasks with Probabilities. Statistically-Modeled Outputs. - Andrey Gritsenko; Emil Eirola; Daniel Schupp; Edward R. Ratner; Amaury Lendasse (HAIS, 2017)

A Novel ELM Ensemble for Time Series Prediction. - Zhen Li; Karl Ratner; Edward R. Ratner; Kallin Khan; Kaj-Mikael Björk; Amaury Lendasse (ELM, 2018)

Parameter-free image segmentation with SLIC. - Fabian Boemer; Edward R. Ratner; Amaury Lendasse (Neurocomputing, 2018)

ELM-SOM+: A continuous mapping for visualization. - Renjie Hu; Karl Ratner; Edward R. Ratner; Yoan Miche; Kaj-Mikael Björk; Amaury Lendasse (Neurocomputing, 2019)

Feature Bagging and Extreme Learning Machines: Machine Learning with Severe Memory Constraints. - Kallin Khan; Edward R. Ratner; Robert Ludwig; Amaury Lendasse (IJCNN, 2020)

A modified Lanczos Algorithm for fast regularization of extreme learning machines. - Renjie Hu; Edward R. Ratner; David E. Stewart; Kaj-Mikael Björk; Amaury Lendasse (Neurocomputing, 2020)

A Multi-ELM Model for Incomplete Data. - Baichuan Chi; Amaury Lendasse; Edward R. Ratner; Renjie Hu (ESANN, 2021)

NNBMSS: a Novel and Fast Method for Model Structure Selection. - Amaury Lendasse; Kallin Khan; Edward R. Ratner (ESANN, 2021)

X-ELM: A Fast Explainability Approach for Extreme Learning Machines. - Brandon Warner; Edward R. Ratner; Amaury Lendasse (IWANN (2), 2023)

Extreme AutoML: Analysis of Classification, Regression, and NLP Performance. - Edward R. Ratner; Elliot Farmer; Brandon Warner; Christopher Douglas; Amaury Lendasse (CoRR, 2024)

Ensemble Learning with Highly Variable Class-Based Performance. - Brandon Warner; Edward R. Ratner; Kallin Carlous-Khan; Christopher Douglas; Amaury Lendasse (Mach. Learn. Knowl. Extr., 2024)