| 2026 | ICPR | Faster Neural Net Inference via Forests of Sparse Oblique Decision Trees. | Yerlan Idelbayev, Arman Zharmagambetov, Magzhan Gabidolla, Miguel . Carreira-Perpin |
| 2025 | ETFA | COMNETS: COst-sensitive learning for throughput optimization in Multi-radio IoT NETworkS. | Jothi Prasanna Shanmuga Sundaram, Magzhan Gabidolla, Miguel . Carreira-Perpin, Alberto E. Cerpa |
| 2025 | ETFA | MARS: Multi-radio Architecture with ML-powered Radio Selection for Mesoscale IoT Applications. | Jothi Prasanna Shanmuga Sundaram, Arman Zharmagambetov, Magzhan Gabidolla, Miguel . Carreira-Perpin, Alberto E. Cerpa |
| 2025 | ICIP | Oblique Decision Trees as an Image Model for Cubist Image Restyling. | Edric Chan, Magzhan Gabidolla, Miguel . Carreira-Perpin |
| 2025 | ICML | Generalized additive models via direct optimization of regularized decision stump forests. | Magzhan Gabidolla, Miguel . Carreira-Perpin |
| 2024 | ICML | Beyond the ROC Curve: Classification Trees Using Cost-Optimal Curves, with Application to Imbalanced Datasets. | Magzhan Gabidolla, Arman Zharmagambetov, Miguel . Carreira-Perpin |
| 2024 | UAI | Adaptive Softmax Trees for Many-Class Classification. | Rasul Kairgeldin, Magzhan Gabidolla, Miguel . Carreira-Perpin |
| 2023 | CVPR | Towards Better Decision Forests: Forest Alternating Optimization. | Miguel . Carreira-Perpin, Magzhan Gabidolla, Arman Zharmagambetov |
| 2022 | CVPR | Pushing the Envelope of Gradient Boosting Forests via Globally-Optimized Oblique Trees. | Magzhan Gabidolla, Miguel . Carreira-Perpin |
| 2022 | IJCNN | Improved Multiclass AdaBoost Using Sparse Oblique Decision Trees. | Magzhan Gabidolla, Arman Zharmagambetov, Miguel . Carreira-Perpin |
| 2022 | KDD | Optimal Interpretable Clustering Using Oblique Decision Trees. | Magzhan Gabidolla, Miguel . Carreira-Perpin |
| 2021 | EMNLP | Softmax Tree: An Accurate, Fast Classifier When the Number of Classes Is Large. | Arman Zharmagambetov, Magzhan Gabidolla, Miguel . Carreira-Perpin |
| 2021 | ICIP | Improved Multiclass Adaboost For Image Classification: The Role Of Tree Optimization. | Arman Zharmagambetov, Magzhan Gabidolla, Miguel . Carreira-Perpin |
| 2021 | IJCNN | Improved Boosted Regression Forests Through Non-Greedy Tree Optimization. | Arman Zharmagambetov, Magzhan Gabidolla, Miguel . Carreira-Perpin |
| 2021 | IJCNN | Non-Greedy Algorithms for Decision Tree Optimization: An Experimental Comparison. | Arman Zharmagambetov, Suryabhan Singh Hada, Magzhan Gabidolla, Miguel . Carreira-Perpin |
| 2020 | ICPR | Selecting Algorithms Without Meta-features. | Martin Lukac, Ayazkhan Bayanov, Albina Li, Kamila Abdiyeva, Nadira Izbassarova, Magzhan Gabidolla, Michitaka Kameyama |
| 2020 | ISVC | Reducing Triangle Inequality Violations with Deep Learning and Its Application to Image Retrieval. | Izat Khamiyev, Magzhan Gabidolla, Alisher Iskakov, M. Fatih Demirci |
| 2019 | ICAISC | On Approximating Metric Nearness Through Deep Learning. | Magzhan Gabidolla, Alisher Iskakov, M. Fatih Demirci, Adnan Yazici |