A Multi-featured Approach for Wearable Sensor-Based Human Activity Recognition. - Delaram Yazdansepas; Anzah H. Niazi; Jennifer L. Gay; Frederick W. Maier; Lakshmish Ramaswamy; Khaled Rasheed; Matthew P. Buman (ICHI, 2016)

A Hierarchical Meta-Classifier for Human Activity Recognition. - Anzah H. Niazi; Delaram Yazdansepas; Jennifer L. Gay; Frederick W. Maier; Lakshmish Ramaswamy; Khaled Rasheed; Matthew P. Buman (ICMLA, 2016)

Statistical Analysis of Window Sizes and Sampling Rates in Human Activity Recognition. - Anzah H. Niazi; Delaram Yazdansepas; Jennifer L. Gay; Frederick W. Maier; Lakshmish Ramaswamy; Khaled Rasheed; Matthew P. Buman (HEALTHINF, 2017)

Solar Radiation Prediction Improvement Using Weather Forecasts. - Sam Sanders; Chris Barrick; Frederick W. Maier; Khaled Rasheed (ICMLA, 2017)

Comparison of Machine Learning Methods for Human Activity Recognition Using Pseudo Free-Living Data. - Enas E. Alkhoshi; Khaled M. Rasheed; Hamid R. Arabnia; Frederick W. Maier; Jennifer L. Gay (CSCI, 2022)

Comparing Machine Learning Techniques for Alfalfa Biomass Yield Prediction. - Jonathan Vance; Khaled Rasheed; Ali Missaoui; Frederick W. Maier; Christian Adkins; Chris Whitmire (CoRR, 2022)

Supervised and Weakly Supervised Deep Learning for Segmentation and Counting of Cotton Bolls Using Proximal Imagery. - Shrinidhi Adke; Changying Li; Khaled M. Rasheed; Frederick W. Maier (Sensors, 2022)