| Robust and stable black box explanations H Lakkaraju, N Arsov, O Bastani International conference on machine learning, 5628-5638, 2020 | 90 | 2020 |
| Network embedding: An overview N Arsov, G Mirceva arXiv preprint arXiv:1911.11726, 2019 | 37 | 2019 |
| Generating highly accurate prediction hypotheses through collaborative ensemble learning N Arsov, M Pavlovski, L Basnarkov, L Kocarev Scientific reports 7, 44649, 2017 | 20 | 2017 |
| Databases fit for blockchain technology: A complete overview J Kalajdjieski, M Raikwar, N Arsov, G Velinov, D Gligoroski Blockchain: Research and Applications 4 (1), 100116, 2023 | 17 | 2023 |
| Generalization-Aware Structured Regression towards Balancing Bias and Variance. M Pavlovski, F Zhou, N Arsov, L Kocarev, Z Obradovic IJCAI, 2616-2622, 2018 | 13 | 2018 |
| Stability of decision trees and logistic regression N Arsov, M Pavlovski, L Kocarev arXiv preprint arXiv:1903.00816, 2019 | 10 | 2019 |
| A meta-heuristic approach for RLE compression in a column store table J Jovanovski, N Arsov, E Stevanoska, M Siljanoska Simons, G Velinov Soft Computing 23, 4255-4276, 2019 | 9 | 2019 |
| A measure of similarity in textual data using spearman's rank correlation coefficient N Arsov, M Dukovski, B Evkoski, S Cvetkovski arXiv preprint arXiv:1911.11750, 2019 | 5 | 2019 |
| Stacking and stability N Arsov, M Pavlovski, L Kocarev arXiv preprint arXiv:1901.09134, 2019 | 5 | 2019 |
| Prediction of Horizontal Data Partitioning Through Query Execution Cost Estimation B Koteska, G Velinov, N Arsov, D Sahpaski, M Kon-Popovska, ... arXiv preprint arXiv: 1911.11725, 2019 | | 2019 |
| Prediction of Horizontal Data Partitioning Through Query Execution Cost Estimation N Arsov, G Velinov, AS Dimovski, B Koteska, D Sahpaski, ... arXiv preprint arXiv:1911.11725, 2019 | | 2019 |
| Weighted Bagging Predictors N Arsov, M Pavlovski, L Kocarev | | |
| Supplementary Information: Generating highly accurate prediction hypotheses through collaborative ensemble learning N Arsov, M Pavlovski, L Basnarkov, L Kocarev | | |
Martin PavlovskiResearch Scientist, Yahoo Research在 temple.edu 的电子邮件经过验证
