Sfoglia per Rivista MACHINE LEARNING
Efficient quantification on large-scale networks
2025-01-01 Micheli, Alessio; Moreo, Alejandro; Podda, Marco; Sebastiani, Fabrizio; Simoni, William; Tortorella, Domenico
Explaining short text classification with diverse synthetic exemplars and counter-exemplars
2023-01-01 Lampridis, O.; State, L.; Guidotti, R.; Ruggieri, S.
Explaining Siamese networks in few-shot learning
2024-01-01 Fedele, Andrea; Guidotti, Riccardo; Pedreschi, Dino
Exploration and generalization in deep learning with SwitchPath activations
2025-01-01 Di Cecco, A.; Papini, A.; Metta, C.; Fantozzi, M.; Galfre, S. G.; Morandin, F.; Parton, M.
Federated SHAP: Privacy-Preserving and Consistent Post-hoc Explainability in Federated Learning
2026-01-01 Ducange, Pietro; Marcelloni, Francesco; Miglionico, Giustino Claudio; Renda, Alessandro; Ruffini, Fabrizio
Glacier: guided locally constrained counterfactual explanations for time series classification
2024-01-01 Wang, Zhendong; Samsten, Isak; Miliou, Ioanna; Mochaourab, Rami; Papapetrou, Panagiotis
The Impact of COVID-19 on Twitter Ego Networks: Structure, Sentiment, and Topics
2025-01-01 Cekini, Kamer; Biondi, Elisabetta; Boldrini, Chiara; Passarella, Andrea; Conti, Marco
Integrating human knowledge for explainable AI
2025-01-01 Cappuccio, Eleonora; Kathirgamanathan, Bahavathy; Rinzivillo, Salvatore; Andrienko, Gennady; Andrienko, Natalia
Integrating Multimodal Learning and Explainable AI for Enhanced and Interpretable Prostate Lesion Classification
2026-01-01 Giovannoni, Claudio; Metta, Carlo; Berti, Andrea; Colantonio, Sara; Monreale, Anna; Pratesi, Francesca; Rinzivillo, Salvatore
The KANDY benchmark: Incremental neuro-symbolic learning and reasoning with Kandinsky patterns
2025-01-01 Lorello, Luca Salvatore; Lippi, Marco; Melacci, Stefano
LEAP: Linear equations for classifier accuracy prediction under prior probability shift
2025-01-01 Volpi, Lorenzo; Moreo, Alejandro; Sebastiani, Fabrizio
Machine Learning to Identify a New Digital Biomarker to Monitor Everyday Upper Limb Use in Children with Unilateral Cerebral Palsy
2026-01-01 Filogna, S.; Prencipe, G.; Sirbu, A.; Beani, E.; Marchi, D.; Scerra, G.; Sgandurra, G.
Model-driven validation of visual explanations for multimodal emotion recognition
2025-01-01 Gagliardi, G.; Alfeo, A. L.; Catrambone, V.; Cimino, M. G. C. A.; De Vos, M.; Valenza, G.
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.
Region-aware Minimal Counterfactual Rules for Model-agnostic Explainable Classification
2025-01-01 Gagliardi, Guido; Alfeo, Antonio Luca; Guidotti, Riccardo; Cimino, Mario G. C. A.
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 |
|---|---|---|---|
| Efficient quantification on large-scale networks | 1-gen-2025 | Micheli, Alessio; Moreo, Alejandro; Podda, Marco; Sebastiani, Fabrizio; Simoni, William; Tortorella, Domenico | |
| Explaining short text classification with diverse synthetic exemplars and counter-exemplars | 1-gen-2023 | Lampridis, O.; State, L.; Guidotti, R.; Ruggieri, S. | |
| Explaining Siamese networks in few-shot learning | 1-gen-2024 | Fedele, Andrea; Guidotti, Riccardo; Pedreschi, Dino | |
| Exploration and generalization in deep learning with SwitchPath activations | 1-gen-2025 | Di Cecco, A.; Papini, A.; Metta, C.; Fantozzi, M.; Galfre, S. G.; Morandin, F.; Parton, M. | |
| Federated SHAP: Privacy-Preserving and Consistent Post-hoc Explainability in Federated Learning | 1-gen-2026 | Ducange, Pietro; Marcelloni, Francesco; Miglionico, Giustino Claudio; Renda, Alessandro; Ruffini, Fabrizio | |
| Glacier: guided locally constrained counterfactual explanations for time series classification | 1-gen-2024 | Wang, Zhendong; Samsten, Isak; Miliou, Ioanna; Mochaourab, Rami; Papapetrou, Panagiotis | |
| The Impact of COVID-19 on Twitter Ego Networks: Structure, Sentiment, and Topics | 1-gen-2025 | Cekini, Kamer; Biondi, Elisabetta; Boldrini, Chiara; Passarella, Andrea; Conti, Marco | |
| Integrating human knowledge for explainable AI | 1-gen-2025 | Cappuccio, Eleonora; Kathirgamanathan, Bahavathy; Rinzivillo, Salvatore; Andrienko, Gennady; Andrienko, Natalia | |
| Integrating Multimodal Learning and Explainable AI for Enhanced and Interpretable Prostate Lesion Classification | 1-gen-2026 | Giovannoni, Claudio; Metta, Carlo; Berti, Andrea; Colantonio, Sara; Monreale, Anna; Pratesi, Francesca; Rinzivillo, Salvatore | |
| The KANDY benchmark: Incremental neuro-symbolic learning and reasoning with Kandinsky patterns | 1-gen-2025 | Lorello, Luca Salvatore; Lippi, Marco; Melacci, Stefano | |
| LEAP: Linear equations for classifier accuracy prediction under prior probability shift | 1-gen-2025 | Volpi, Lorenzo; Moreo, Alejandro; Sebastiani, Fabrizio | |
| Machine Learning to Identify a New Digital Biomarker to Monitor Everyday Upper Limb Use in Children with Unilateral Cerebral Palsy | 1-gen-2026 | Filogna, S.; Prencipe, G.; Sirbu, A.; Beani, E.; Marchi, D.; Scerra, G.; Sgandurra, G. | |
| Model-driven validation of visual explanations for multimodal emotion recognition | 1-gen-2025 | Gagliardi, G.; Alfeo, A. L.; Catrambone, V.; Cimino, M. G. C. A.; De Vos, M.; Valenza, G. | |
| 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. | |
| Region-aware Minimal Counterfactual Rules for Model-agnostic Explainable Classification | 1-gen-2025 | Gagliardi, Guido; Alfeo, Antonio Luca; Guidotti, Riccardo; Cimino, Mario G. C. A. | |
| 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 |
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