On Approximating Metric Nearness Through Deep Learning. - Magzhan Gabidolla; Alisher Iskakov; M. Fatih Demirci; Adnan Yazici (ICAISC (1), 2019)

Selecting Algorithms Without Meta-features. - Martin Lukac; Ayazkhan Bayanov; Albina Li; Kamila Abdiyeva; Nadira Izbassarova; Magzhan Gabidolla; Michitaka Kameyama (ICPR Workshops (4), 2020)

Reducing Triangle Inequality Violations with Deep Learning and Its Application to Image Retrieval. - Izat Khamiyev; Magzhan Gabidolla; Alisher Iskakov; M. Fatih Demirci (ISVC (2), 2020)

Softmax Tree: An Accurate, Fast Classifier When the Number of Classes Is Large. - Arman Zharmagambetov; Magzhan Gabidolla; Miguel Á. Carreira-Perpiñán (EMNLP (1), 2021)

Improved Multiclass Adaboost For Image Classification: The Role Of Tree Optimization. - Arman Zharmagambetov; Magzhan Gabidolla; Miguel Á. Carreira-Perpiñán (ICIP, 2021)

Improved Boosted Regression Forests Through Non-Greedy Tree Optimization. - Arman Zharmagambetov; Magzhan Gabidolla; Miguel Á. Carreira-Perpiñán (IJCNN, 2021)

Non-Greedy Algorithms for Decision Tree Optimization: An Experimental Comparison. - Arman Zharmagambetov; Suryabhan Singh Hada; Magzhan Gabidolla; Miguel Á. Carreira-Perpiñán (IJCNN, 2021)

Pushing the Envelope of Gradient Boosting Forests via Globally-Optimized Oblique Trees. - Magzhan Gabidolla; Miguel Á. Carreira-Perpiñán (CVPR, 2022)

Improved Multiclass AdaBoost Using Sparse Oblique Decision Trees. - Magzhan Gabidolla; Arman Zharmagambetov; Miguel Á. Carreira-Perpiñán (IJCNN, 2022)

Optimal Interpretable Clustering Using Oblique Decision Trees. - Magzhan Gabidolla; Miguel Á. Carreira-Perpiñán (KDD, 2022)

Towards Better Decision Forests: Forest Alternating Optimization. - Miguel Á. Carreira-Perpiñán; Magzhan Gabidolla; Arman Zharmagambetov (CVPR, 2023)

Beyond the ROC Curve: Classification Trees Using Cost-Optimal Curves, with Application to Imbalanced Datasets. - Magzhan Gabidolla; Arman Zharmagambetov; Miguel Á. Carreira-Perpiñán (ICML, 2024)

Adaptive Softmax Trees for Many-Class Classification. - Rasul Kairgeldin; Magzhan Gabidolla; Miguel Á. Carreira-Perpiñán (UAI, 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)

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, 2025)