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ORCIDSuryabhan Singh Hada
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2020 – today
- 2024
[j1]Suryabhan Singh Hada
, Miguel Á. Carreira-Perpiñán, Arman Zharmagambetov:
Sparse oblique decision trees: a tool to understand and manipulate neural net features. Data Min. Knowl. Discov. 38(5): 2863-2902 (2024)- [c10]Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán, Arman Zharmagambetov:
Sparse Oblique Decision Trees: A Tool to Understand and Manipulate Neural Net Features. HI-AI@KDD 2024: 102-116 - 2023
- [c9]Miguel Á. Carreira-Perpiñán, Suryabhan Singh Hada:
Very Fast, Approximate Counterfactual Explanations for Decision Forests. AAAI 2023: 6935-6943 - [i7]Miguel Á. Carreira-Perpiñán, Suryabhan Singh Hada:
Very fast, approximate counterfactual explanations for decision forests. CoRR abs/2303.02883 (2023) - [i6]Miguel Á. Carreira-Perpiñán, Suryabhan Singh Hada:
Inverse classification with logistic and softmax classifiers: efficient optimization. CoRR abs/2309.08945 (2023) - 2022
- [b1]Suryabhan Singh Hada:
Approaches to Interpret Deep Neural Networks. University of California, Merced, USA, 2022 - [c8]Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán:
Interpretable Image Classification Using Sparse Oblique Decision Trees. ICASSP 2022: 2759-2763 - [c7]Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán:
Sparse Oblique Decision Trees: A Tool to Interpret Natural Language Processing Datasets. IJCNN 2022: 1-8 - 2021
- [c6]Miguel Á. Carreira-Perpiñán, Suryabhan Singh Hada:
Counterfactual Explanations for Oblique Decision Trees: Exact, Efficient Algorithms. AAAI 2021: 6903-6911 - [c5]Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán, Arman Zharmagambetov:
Understanding And Manipulating Neural Net Features Using Sparse Oblique Classification Trees. ICIP 2021: 3707-3711 - [c4]Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán:
Sampling The "Inverse Set" of a Neuron. ICIP 2021: 3712-3716 - [c3]Arman Zharmagambetov, Suryabhan Singh Hada, Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán:
Non-Greedy Algorithms for Decision Tree Optimization: An Experimental Comparison. IJCNN 2021: 1-8 - [c2]Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán:
Exploring Counterfactual Explanations for Classification and Regression Trees. PKDD/ECML Workshops (1) 2021: 489-504 - [c1]Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán:
Style Transfer by Rigid Alignment in Neural Net Feature Space. WACV 2021: 2575-2584 - [i5]Miguel Á. Carreira-Perpiñán, Suryabhan Singh Hada:
Counterfactual Explanations for Oblique Decision Trees: Exact, Efficient Algorithms. CoRR abs/2103.01096 (2021) - [i4]Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán, Arman Zharmagambetov:
Sparse Oblique Decision Trees: A Tool to Understand and Manipulate Neural Net Features. CoRR abs/2104.02922 (2021)
2010 – 2019
- 2019
- [i3]Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán:
Style Transfer by Rigid Alignment in Neural Net Feature Space. CoRR abs/1909.13690 (2019) - [i2]Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán:
Sampling the "Inverse Set" of a Neuron: An Approach to Understanding Neural Nets. CoRR abs/1910.04857 (2019) - [i1]Arman Zharmagambetov, Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán:
An Experimental Comparison of Old and New Decision Tree Algorithms. CoRR abs/1911.03054 (2019)
Coauthor Index
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