Measures for Combining Accuracy and Time for Meta-learning. - Salisu Mamman Abdulrahman; Pavel Brazdil (MetaSel@ECAI, 2014)

Fast Algorithm Selection Using Learning Curves. - Jan N. van Rijn; Salisu Mamman Abdulrahman; Pavel Brazdil; Joaquin Vanschoren (IDA, 2015)

Algorithm Selection via Meta-learning and Sample-based Active Testing. - Salisu Mamman Abdulrahman; Pavel Brazdil; Jan N. van Rijn; Joaquin Vanschoren (MetaSel@PKDD/ECML, 2015)

Effect of Incomplete Meta-dataset on Average Ranking Method. - Salisu Mamman Abdulrahman; Pavel Brazdil (AutoML@ICML, 2016)

Combining Feature and Algorithm Hyperparameter Selection using some Metalearning Methods. - Miguel Cachada; Salisu Mamman Abdulrahman; Pavel Brazdil (AutoML@PKDD/ECML, 2017)

Improving Algorithm Selection Methods using Meta-Learning by Considering Accuracy and Run Time - Salisu Mamman Abdulrahman (2017)

Speeding up algorithm selection using average ranking and active testing by introducing runtime. - Salisu Mamman Abdulrahman; Pavel Brazdil; Jan N. van Rijn; Joaquin Vanschoren (Mach. Learn., 2018)

Simplifying the Algorithm Selection Using Reduction of Rankings of Classification Algorithms. - Salisu Mamman Abdulrahman; Pavel Brazdil; Wan Mohd Nazmee Wan Zainon; Alhassan Adamu (ICSCA, 2019)

Empirical Investigation of UML Models Matching through Different Weight Calibration. - Alhassan Adamu; Wan Mohd Nazmee Wan Zainon; Salisu Mamman Abdulrahman (ICSCA, 2019)