Sfoglia per Rivista
Bridging XAI and spectral analysis to investigate the inductive biases of deep graph networks
2025-01-01 Fontanesi, Michele; Micheli, Alessio; Podda, Marco; Tortorella, Domenico
Counterfactual ensembles for interpretable churn prediction: from real-world to privacy-preserving synthetic data
2025-01-01 Tonati, Samuele; Vece, Marzio Di; Giannotti, Fosca; Pellungrini, Roberto
Describing group evolution in temporal data using multi-faceted events
2024-01-01 Failla, Andrea; Cazabet, Rémy; Rossetti, Giulio; Citraro, Salvatore
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
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
The KANDY benchmark: Incremental neuro-symbolic learning and reasoning with Kandinsky patterns
2025-01-01 Lorello, Luca Salvatore; Lippi, Marco; Melacci, Stefano
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 |
|---|---|---|---|
| Bridging XAI and spectral analysis to investigate the inductive biases of deep graph networks | 1-gen-2025 | Fontanesi, Michele; Micheli, Alessio; Podda, Marco; Tortorella, Domenico | |
| Counterfactual ensembles for interpretable churn prediction: from real-world to privacy-preserving synthetic data | 1-gen-2025 | Tonati, Samuele; Vece, Marzio Di; Giannotti, Fosca; Pellungrini, Roberto | |
| Describing group evolution in temporal data using multi-faceted events | 1-gen-2024 | Failla, Andrea; Cazabet, Rémy; Rossetti, Giulio; Citraro, Salvatore | |
| 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 | |
| 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 | |
| The KANDY benchmark: Incremental neuro-symbolic learning and reasoning with Kandinsky patterns | 1-gen-2025 | Lorello, Luca Salvatore; Lippi, Marco; Melacci, Stefano | |
| 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 |
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