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Carreira-Perpinan, Miguel A.
78  Ergebnisse:
Personensuche X
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1

Towards Better Decision Forests: Forest Alternating Optimiz..:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Carreira-Perpinan, Miguel A. ; Gabidolla, Magzhan ; Zharmagambetov, Arman - p. 7589-7598 , 2023
Link: https://doi.org/10.1109/..
 
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2

Sparse oblique decision trees: a tool to understand and man..:

Hada, Suryabhan Singh ; Carreira-Perpiñán, Miguel Á. ; Zharmagambetov, Arman
Data Mining and Knowledge Discovery.  , 2023
Link: https://doi.org/10.1007/..
 
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3

Sparse Oblique Decision Trees: A Tool to Interpret Natural ..:

, In: 2022 International Joint Conference on Neural Networks (IJCNN),
Hada, Suryabhan Singh ; Carreira-Perpinan, Miguel A. - p. 1-8 , 2022
Link: https://doi.org/10.1109/..
 
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4

Pushing the Envelope of Gradient Boosting Forests via Globa..:

, In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Gabidolla, Magzhan ; Carreira-Perpinan, Miguel A. - p. 285-294 , 2022
Link: https://doi.org/10.1109/..
 
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5

Improved Multiclass AdaBoost Using Sparse Oblique Decision ..:

, In: 2022 International Joint Conference on Neural Networks (IJCNN),
Gabidolla, Magzhan ; Zharmagambetov, Arman ; Carreira-Perpinan, Miguel A. - p. 1-8 , 2022
Link: https://doi.org/10.1109/..
 
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6

Optimal Interpretable Clustering Using Oblique Decision Tre..:

, In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
Gabidolla, Magzhan ; Carreira-Perpiñán, Miguel Á. - p. 400-410 , 2022
Link: https://dl.acm.org/doi/1..
 
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7

Interpretable Image Classification Using Sparse Oblique Dec..:

, In: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Singh Hada, Suryabhan ; Carreira-Perpinan, Miguel A. - p. 2759-2763 , 2022
Link: https://doi.org/10.1109/..
 
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8

Exploring the Effect of ℓ0/ℓ2 Regularization in Neural Netw..:

, In: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Idelbayev, Yerlan ; Carreira-Perpinan, Miguel A. - p. 3373-3377 , 2022
Link: https://doi.org/10.1109/..
 
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9

Improved Boosted Regression Forests Through Non-Greedy Tree..:

, In: 2021 International Joint Conference on Neural Networks (IJCNN),
Zharmagambetov, Arman ; Gabidolla, Magzhan ; Carreira-Perpinan, Miguel A. - p. 1-8 , 2021
Link: https://doi.org/10.1109/..
 
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10

Learning a Tree of Neural Nets:

, In: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Zharmagambetov, Arman ; Carreira-Perpinan, Miguel A. - p. 3140-3144 , 2021
Link: https://doi.org/10.1109/..
 
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11

LC: A Flexible, Extensible Open-Source Toolkit for Model Co..:

, In: Proceedings of the 30th ACM International Conference on Information & Knowledge Management,
Idelbayev, Yerlan ; Carreira-Perpiñán, Miguel Á. - p. 4504-4514 , 2021
Link: https://dl.acm.org/doi/1..
 
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12

More General and Effective Model Compression via an Additiv..:

, In: Machine Learning and Knowledge Discovery in Databases. Research Track; Lecture Notes in Computer Science,
Idelbayev, Yerlan ; Carreira-Perpiñán, Miguel Á. - p. 233-248 , 2021
Link: https://doi.org/10.1007/..
 
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13

Non-Greedy Algorithms for Decision Tree Optimization: An Ex..:

, In: 2021 International Joint Conference on Neural Networks (IJCNN),
Zharmagambetov, Arman ; Hada, Suryabhan Singh ; Gabidolla, Magzhan. - p. 1-8 , 2021
Link: https://doi.org/10.1109/..
 
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14

Exploring Counterfactual Explanations for Classification an..:

, In: Communications in Computer and Information Science; Machine Learning and Principles and Practice of Knowledge Discovery in Databases,
Hada, Suryabhan Singh ; Carreira-Perpiñán, Miguel Á. - p. 489-504 , 2021
Link: https://doi.org/10.1007/..
 
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15

OPTICS : OPTimizing Irrigation Control at Scale:

Winkler, Daniel A. ; Carreira-Perpiñán, Miguel Á. ; Cerpa, Alberto E.
ACM Transactions on Sensor Networks (TOSN).  16 (2020)  3 - p. 1-38 , 2020
Link: https://dl.acm.org/doi/1..
 
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