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ORCIDSalisu Mamman Abdulrahman
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Books and Theses
- 2017
[b1]Salisu Mamman Abdulrahman:
Improving Algorithm Selection Methods using Meta-Learning by Considering Accuracy and Run Time. University of Porto, Portugal, 2017
Journal Articles
- 2018
- [j1]Salisu Mamman Abdulrahman
, Pavel Brazdil, Jan N. van Rijn, Joaquin Vanschoren:
Speeding up algorithm selection using average ranking and active testing by introducing runtime. Mach. Learn. 107(1): 79-108 (2018)
Conference and Workshop Papers
- 2019
- [c7]Salisu Mamman Abdulrahman, Pavel Brazdil, Wan Mohd Nazmee Wan Zainon, Alhassan Adamu:
Simplifying the Algorithm Selection Using Reduction of Rankings of Classification Algorithms. ICSCA 2019: 140-148 - [c6]Alhassan Adamu, Wan Mohd Nazmee Wan Zainon, Salisu Mamman Abdulrahman:
Empirical Investigation of UML Models Matching through Different Weight Calibration. ICSCA 2019: 167-172 - 2017
- [c5]Miguel Cachada, Salisu Mamman Abdulrahman, Pavel Brazdil:
Combining Feature and Algorithm Hyperparameter Selection using some Metalearning Methods. AutoML@PKDD/ECML 2017: 69-83 - 2016
- [c4]Salisu Mamman Abdulrahman, Pavel Brazdil:
Effect of Incomplete Meta-dataset on Average Ranking Method. AutoML@ICML 2016: 1-10 - 2015
- [c3]Jan N. van Rijn, Salisu Mamman Abdulrahman, Pavel Brazdil, Joaquin Vanschoren:
Fast Algorithm Selection Using Learning Curves. IDA 2015: 298-309 - [c2]Salisu Mamman Abdulrahman, Pavel Brazdil, Jan N. van Rijn, Joaquin Vanschoren:
Algorithm Selection via Meta-learning and Sample-based Active Testing. MetaSel@PKDD/ECML 2015: 55-66 - 2014
- [c1]Salisu Mamman Abdulrahman, Pavel Brazdil:
Measures for Combining Accuracy and Time for Meta-learning. MetaSel@ECAI 2014: 49-50
Informal and Other Publications
- 2016
- [i1]Salisu Mamman Abdulrahman, Pavel Brazdil:
Effect of Incomplete Meta-dataset on Average Ranking Method. CoRR abs/1608.06845 (2016)
Coauthor Index
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