Sfoglia per Rivista MACHINE LEARNING
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Glacier: guided locally constrained counterfactual explanations for time series classification
2024-01-01 Wang, Zhendong; Samsten, Isak; Miliou, Ioanna; Mochaourab, Rami; Papapetrou, Panagiotis
Optimal data collection design in machine learning: the case of the fixed effects generalized least squares panel data model
2021-01-01 Gnecco, Giorgio; Nutarelli, Federico; Selvi, Daniela
QUANTITATIVE GAUSSIAN APPROXIMATION OF RANDOMLY INITIALIZED DEEP NEURAL NETWORKS
2022-01-01 Basteri, A.; Trevisan, D.
Solving imbalanced learning with outlier detection and features reduction
2023-01-01 Lusito, S.; Pugnana, A.; Guidotti, R.
Tikhonov, Ivanov and Morozov regularization for support vector machine learning
2015-01-01 Oneto, Luca; Ridella, Sandro; Anguita, Davide
Tiles: an online algorithm for community discovery in dynamic social networks
2016-01-01 Rossetti, Giulio; Pappalardo, Luca; Pedreschi, Dino; Giannotti, Fosca
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Glacier: guided locally constrained counterfactual explanations for time series classification | 1-gen-2024 | Wang, Zhendong; Samsten, Isak; Miliou, Ioanna; Mochaourab, Rami; Papapetrou, Panagiotis | |
| Optimal data collection design in machine learning: the case of the fixed effects generalized least squares panel data model | 1-gen-2021 | Gnecco, Giorgio; Nutarelli, Federico; Selvi, Daniela | |
| QUANTITATIVE GAUSSIAN APPROXIMATION OF RANDOMLY INITIALIZED DEEP NEURAL NETWORKS | 1-gen-2022 | Basteri, A.; Trevisan, D. | |
| Solving imbalanced learning with outlier detection and features reduction | 1-gen-2023 | Lusito, S.; Pugnana, A.; Guidotti, R. | |
| Tikhonov, Ivanov and Morozov regularization for support vector machine learning | 1-gen-2015 | Oneto, Luca; Ridella, Sandro; Anguita, Davide | |
| Tiles: an online algorithm for community discovery in dynamic social networks | 1-gen-2016 | Rossetti, Giulio; Pappalardo, Luca; Pedreschi, Dino; Giannotti, Fosca |
Mostra risultati da 3 a 8 di 8
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