| Application of cuckoo search algorithm to estimate peak particle velocity in mine blasting N Fouladgar, M Hasanipanah, H Bakhshandeh Amnieh Engineering with Computers 33, 181-189, 2017 | 69 | 2017 |
| A novel approach for optimization in dynamic environments based on modified cuckoo search algorithm N Fouladgar, S Lotfi Soft Computing 20, 2889-2903, 2016 | 16 | 2016 |
| A Novel LSTM for Multivariate Time Series with Massive Missingness N Fouladgar, K Främling Sensors 20, 2832, 2020 | 12 | 2020 |
| A brief review of solving dynamic optimization problems N Fouladgar, S Lotfi Int. Acad. J. Sci. Eng. 2, 26-33, 2015 | 7 | 2015 |
| Decision Explanation: Applying Contextual Importance and Contextual Utility in Affect Detection N Fouladgar, M Alirezaie, K Främling XAI.it 2020, Italian Workshop on Explainable Artificial Intelligence 2742, 1-13, 2020 | 6 | 2020 |
| CN-waterfall: a deep convolutional neural network for multimodal physiological affect detection N Fouladgar, M Alirezaie, K Främling Neural Computing and Applications, 1-20, 2022 | 5 | 2022 |
| XAI-P-T: A Brief Review of Explainable Artificial Intelligence from Practice to Theory N Fouladgar, K Främling arXiv:2012.09636, 2020 | 4 | 2020 |
| Exploring Contextual Importance and Utility in Explaining Affect Detection N Fouladgar, M Alirezaie, K Främling XIXth International Conference of the Italian Association for Artificial …, 2021 | 3 | 2021 |
| A novel swarm intelligence algorithm based on cuckoo search algorithm (NSICS) N Fouladgar, S Lotfi Intelligent Computing Theories and Methodologies: 11th International …, 2015 | 2 | 2015 |
| Metrics and Evaluations of Time Series Explanations: An Application in Affect Computing N Fouladgar, M Alirezaie, K Främling IEEE Access 10, 23995-24009, 2022 | | 2022 |
| CN-waterfall N Fouladgar, M Alirezaie, K Främling Springer London, 2022 | | 2022 |
Kary FrämlingProfessor of Data Science at Umeå UniversityVerified email at cs.umu.se
