Carreira-Perpiñán, Miguel Á
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),
 
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3

Interpretable Image Classification Using Sparse Oblique Dec..:

, In: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
 
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4

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

, In: 2022 International Joint Conference on Neural Networks (IJCNN),
 
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5

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

, In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
 
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6

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

, In: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
 
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8

Optimal Interpretable Clustering Using Oblique Decision Tre..:

, In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
 
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9

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

, In: 2021 International Joint Conference on Neural Networks (IJCNN),
 
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10

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

, In: Proceedings of the 30th ACM International Conference on Information & Knowledge Management,
 
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11

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

, In: 2021 International Joint Conference on Neural Networks (IJCNN),
 
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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,
 
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13

Learning a Tree of Neural Nets:

, In: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
 
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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,
 
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15

Low-Rank Compression of Neural Nets: Learning the Rank of E..:

, In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
 
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