Magzhan Gabidolla

According to our database, Magzhan Gabidolla authored at least 18 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

COMNETS: COst-sensitive decision trees approach to throughput optimization for Multi-radio IoT NETworkS.

Jothi Prasanna Shanmuga Sundaram, Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán, Alberto E. Cerpa

CoRR, February, 2025

Generalized additive models via direct optimization of regularized decision stump forests.

Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán

Proceedings of the Forty-second International Conference on Machine Learning, 2025

MARS: Multi-radio Architecture with ML-powered Radio Selection for Mesoscale IoT Applications.

Jothi Prasanna Shanmuga Sundaram, Arman Zharmagambetov, Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán, Alberto E. Cerpa

Proceedings of the 30th IEEE International Conference on Emerging Technologies and Factory Automation, 2025

COMNETS: COst-sensitive learning for throughput optimization in Multi-radio IoT NETworkS.

Jothi Prasanna Shanmuga Sundaram, Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán, Alberto E. Cerpa

Proceedings of the 30th IEEE International Conference on Emerging Technologies and Factory Automation, 2025

2024

MARS: Multi-radio Architecture with Radio Selection using Decision Trees for emerging mesoscale CPS/IoT applications.

Jothi Prasanna Shanmuga Sundaram, Arman Zharmagambetov, Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán, Alberto Cerpa

CoRR, 2024

Adaptive Softmax Trees for Many-Class Classification.

Rasul Kairgeldin, Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán

Proceedings of the Uncertainty in Artificial Intelligence, 2024

Beyond the ROC Curve: Classification Trees Using Cost-Optimal Curves, with Application to Imbalanced Datasets.

Magzhan Gabidolla, Arman Zharmagambetov, Miguel Á. Carreira-Perpiñán

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Towards Better Decision Forests: Forest Alternating Optimization.

Miguel Á. Carreira-Perpiñán, Magzhan Gabidolla, Arman Zharmagambetov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Optimal Interpretable Clustering Using Oblique Decision Trees.

Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Improved Multiclass AdaBoost Using Sparse Oblique Decision Trees.

Magzhan Gabidolla, Arman Zharmagambetov, Miguel Á. Carreira-Perpiñán

Proceedings of the International Joint Conference on Neural Networks, 2022

Pushing the Envelope of Gradient Boosting Forests via Globally-Optimized Oblique Trees.

Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Non-Greedy Algorithms for Decision Tree Optimization: An Experimental Comparison.

Arman Zharmagambetov, Suryabhan Singh Hada, Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán

Proceedings of the International Joint Conference on Neural Networks, 2021

Improved Boosted Regression Forests Through Non-Greedy Tree Optimization.

Arman Zharmagambetov, Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán

Proceedings of the International Joint Conference on Neural Networks, 2021

Improved Multiclass Adaboost For Image Classification: The Role Of Tree Optimization.

Arman Zharmagambetov, Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Softmax Tree: An Accurate, Fast Classifier When the Number of Classes Is Large.

Arman Zharmagambetov, Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Reducing Triangle Inequality Violations with Deep Learning and Its Application to Image Retrieval.

Izat Khamiyev, Magzhan Gabidolla, Alisher Iskakov, M. Fatih Demirci

Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020

Selecting Algorithms Without Meta-features.

Martin Lukac, Ayazkhan Bayanov, Albina Li, Kamila Abdiyeva, Nadira Izbassarova, Magzhan Gabidolla, Michitaka Kameyama

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019

On Approximating Metric Nearness Through Deep Learning.

Magzhan Gabidolla, Alisher Iskakov, M. Fatih Demirci, Adnan Yazici

Proceedings of the Artificial Intelligence and Soft Computing, 2019