Improved multiclass AdaBoost for image classification: The role of tree optimization A Zharmagambetov, M Gabidolla, MA Carreira-Perpinán 2021 IEEE International Conference on Image Processing (ICIP), 424-428, 2021 | 26 | 2021 |
Non-greedy algorithms for decision tree optimization: An experimental comparison A Zharmagambetov, SS Hada, M Gabidolla, MA Carreira-Perpinán 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 25 | 2021 |
Improved boosted regression forests through non-greedy tree optimization A Zharmagambetov, M Gabidolla, MÊ Carreira-Perpiñán 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 16 | 2021 |
An experimental comparison of old and new decision tree algorithms A Zharmagambetov, SS Hada, MÁ Carreira-Perpiñán, M Gabidolla arXiv preprint arXiv:1911.03054, 2019 | 16 | 2019 |
Pushing the envelope of gradient boosting forests via globally-optimized oblique trees M Gabidolla, MÁ Carreira-Perpiñán Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 10 | 2022 |
Optimal Interpretable Clustering Using Oblique Decision Trees M Gabidolla, MÁ Carreira-Perpiñán Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 9 | 2022 |
Improved multiclass adaboost using sparse oblique decision trees M Gabidolla, A Zharmagambetov, MA Carreira-Perpinán 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 7 | 2022 |
Softmax Tree: An Accurate, Fast Classifier When the Number of Classes Is Large A Zharmagambetov, M Gabidolla, MÁ Carreira-Perpiñán Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 6 | 2021 |
Faster neural net inference via forests of sparse oblique decision trees Y Idelbayev, A Zharmagambetov, M Gabidolla, MÁ Carreira-Perpiñán | 4 | 2021 |
On approximating metric nearness through deep learning M Gabidolla, A Iskakov, MF Demirci, A Yazici International Conference on Artificial Intelligence and Soft Computing, 62-72, 2019 | 3 | 2019 |
Towards Better Decision Forests: Forest Alternating Optimization MÁ Carreira-Perpiñán, M Gabidolla, A Zharmagambetov Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 1 | 2023 |
Selecting Algorithms Without Meta-features M Lukac, A Bayanov, A Li, K Abiyeva, N Izbassarova, M Gabidolla, ... Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021 | | 2021 |
Reducing Triangle Inequality Violations with Deep Learning and Its Application to Image Retrieval I Khamiyev, M Gabidolla, A Iskakov, MF Demirci Advances in Visual Computing: 15th International Symposium, ISVC 2020, San …, 2020 | | 2020 |
Cost-sensitive learning of classification trees, with application to imbalanced datasets M Gabidolla, A Zharmagambetov, MÁ Carreira-Perpiñán | | |
Boosted Sparse Oblique Decision Trees M Gabidolla, A Zharmagambetov, MÁ Carreira-Perpiñán | | |