| 2026 | ICPR | More Interpretable Decision Trees: Pruning via Node Descent and the Delta Penalty. | Miguel . Carreira-Perpin, Suryabhan Singh Hada |
| 2023 | AAAI | Very Fast, Approximate Counterfactual Explanations for Decision Forests. | Miguel . Carreira-Perpin, Suryabhan Singh Hada |
| 2022 | ICASSP | Interpretable Image Classification Using Sparse Oblique Decision Trees. | Suryabhan Singh Hada, Miguel . Carreira-Perpin |
| 2022 | IJCNN | Sparse Oblique Decision Trees: A Tool to Interpret Natural Language Processing Datasets. | Suryabhan Singh Hada, Miguel . Carreira-Perpin |
| 2021 | AAAI | Counterfactual Explanations for Oblique Decision Trees: Exact, Efficient Algorithms. | Miguel . Carreira-Perpin, Suryabhan Singh Hada |
| 2021 | ICIP | Sampling The "Inverse Set" of a Neuron. | Suryabhan Singh Hada, Miguel . Carreira-Perpin |
| 2021 | ICIP | Understanding And Manipulating Neural Net Features Using Sparse Oblique Classification Trees. | Suryabhan Singh Hada, Miguel . Carreira-Perpin, Arman Zharmagambetov |
| 2021 | IJCNN | Non-Greedy Algorithms for Decision Tree Optimization: An Experimental Comparison. | Arman Zharmagambetov, Suryabhan Singh Hada, Magzhan Gabidolla, Miguel . Carreira-Perpin |
| 2021 | WACV | Style Transfer by Rigid Alignment in Neural Net Feature Space. | Suryabhan Singh Hada, Miguel . Carreira-Perpin |