Sfoglia per Autore
A preferential interpretation of MultiLayer Perceptrons in a conditional logic with typicality
In corso di stampa Alviano, Mario; Bartoli, Francesco; Botta, Marco; Esposito, Roberto; Giordano, Laura; Theseider Dupré, Daniele
PartitionedLS.jl
2024-01-01 Roberto Esposito
Experimenting with Normalization Layers in Federated Learning on non-IID scenarios
2024-01-01 Casella, Bruno; Esposito, Roberto; Sciarappa, Antonio; Cavazzoni, Carlo; Aldinucci, Marco
Convolutional neural network (CNN)-enabled electrocardiogram (ECG) analysis: a comparison between standard twelve-lead and single-lead setups
2024-01-01 Saglietto, Andrea; Baccega, Daniele; Esposito, Roberto; Anselmino, Matteo; Dusi, Veronica; Fiandrotti, Attilio; De Ferrari, Gaetano Maria
Fair Semi-supervised Representation Learning for Tabular Data Classification
2023-01-01 Shuyi Yang, Mattia Cerrato, Dino Ienco, Ruggero G. Pensa, Roberto Esposito
Pooling critical datasets with Federated Learning
2023-01-01 Yasir Arfat; Gianluca Mittone; Iacopo Colonnelli; Fabrizio D'Ascenzo; Roberto Esposito; Marco Aldinucci
Invariant Representations with Stochastically Quantized Neural Networks
2023-01-01 Cerrato M.; Koppel M.; Esposito R.; Kramer S.
Hierarchical Priors for Hyperspherical Prototypical Networks
2023-01-01 Samuele Fonio, Lorenzo Paletto, Mattia Cerrato, Dino Ienco, Roberto Esposito
FairSwiRL: fair semi-supervised classification with representation learning
2023-01-01 Yang, Shuyi; Cerrato, Mattia; Ienco, Dino; Pensa, Ruggero G.; Esposito, Roberto
Federated Learning meets HPC and cloud
2023-01-01 Iacopo Colonnelli, Bruno Casella, Gianluca Mittone, Yasir Arfat, Barbara Cantalupo, Roberto Esposito, Alberto Riccardo Martinelli, Doriana Medic, Marco Aldinucci
Experimenting with Emerging RISC-V Systems for Decentralised Machine Learning
2023-01-01 Gianluca Mittone , Nicolò Tonci , Robert Birke , Iacopo Colonnelli , Doriana Medic , Andrea Bartolini , Roberto Esposito , Emanuele Parisi , Francesco Beneventi , Mirko Polato , Massimo Torquati , Luca Benini , Marco Aldinucci
Boosting Methods for Federated Learning
2023-01-01 Roberto Esposito, Mirko Polato, Marco Aldinucci
1st Workshop on Federated Learning Technologies
2023-01-01 Polato M.; Esposito R.; Riviera W.; Xu Z.; King I.
Dealing With Multipositive Unlabeled Learning Combining Metric Learning and Deep Clustering
2022-01-01 Racanati A.; Esposito R.; Ienco D.
Towards EXtreme scale technologies and accelerators for euROhpc hw/Sw supercomputing applications for exascale: The TEXTAROSSA approach
2022-01-01 Agosta, Giovanni; Aldinucci, Marco; Alvarez, Carlos; Ammendola, Roberto; Arfat, Yasir; Beaumont, Olivier; Bernaschi, Massimo; Biagioni, Andrea; Boccali, Tommaso; Bramas, Berenger; Brandolese, Carlo; Cantalupo, Barbara; Carrozzo, Mauro; Cattaneo, Daniele; Celestini, Alessandro; Celino, Massimo; Colonnelli, Iacopo; Cretaro, Paolo; D’Ambra, Pasqua; Danelutto, Marco; Esposito, Roberto; Eyraud-Dubois, Lionel; Filgueras, Antonio; Fornaciari, William; Frezza, Ottorino; Galimberti, Andrea; Giacomini, Francesco; Goglin, Brice; Gregori, Daniele; Guermouche, Abdou; Iannone, Francesco; Kulczewski, Michal; Lo Cicero, Francesca; Lonardo, Alessandro; Martinelli, Alberto R.; Martinelli, Michele; Martorell, Xavier; Massari, Giuseppe; Montangero, Simone; Mittone, Gianluca; Namyst, Raymond; Oleksiak, Ariel; Palazzari, Paolo; Paolucci, Pier Stanislao; Reghenzani, Federico; Rossi, Cristian; Saponara, Sergio; Simula, Francesco; Terraneo, Federico; Thibault, Samuel; Torquati, Massimo; Turisini, Matteo; Vicini, Piero; Vidal, Miquel; Zoni, Davide; Zummo, Giuseppe
Towards a Conditional and Multi-preferential Approach to Explainability of Neural Network Models in Computational Logic (Extended Abstract)
2022-01-01 Alviano M.; Bartoli F.; Botta M.; Esposito R.; Giordano L.; Gliozzi V.; Dupre D.T.
Model Checking Verification of MultiLayer Perceptrons in Datalog: a Many-valued Approach with Typicality
2022-01-01 Francesco Bartoli, Marco Botta, Roberto Esposito, Laura Giordano, Daniele Theseider Dupré
From Common Sense Reasonig to Neural Network Models: a Conditional and Multi-preferential Approach for Explainability and Neuro-Symbolic Integration
2022-01-01 Francesco Bartoli, Marco Botta, Roberto Esposito, Laura Giordano, Valentina Gliozzi ,Daniele Theseider Dupré
Benchmarking FedAvg and FedCurv for Image Classification Tasks
2022-01-01 Bruno Casella; Roberto Esposito; Carlo Cavazzoni; Marco Aldinucci
Machine learning for cardiology
2022-01-01 Arfat, Yasir; Mittone, Gianluca; Esposito, Roberto; Cantalupo, Barbara; DE Ferrari, Gaetano M; Aldinucci, Marco
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A preferential interpretation of MultiLayer Perceptrons in a conditional logic with typicality | In corso di stampa | Alviano, Mario; Bartoli, Francesco; Botta, Marco; Esposito, Roberto; Giordano, Laura; Theseider Dupré, Daniele | |
| PartitionedLS.jl | 2024 | Roberto Esposito | |
| Experimenting with Normalization Layers in Federated Learning on non-IID scenarios | 2024 | Casella, Bruno; Esposito, Roberto; Sciarappa, Antonio; Cavazzoni, Carlo; Aldinucci, Marco | |
| Convolutional neural network (CNN)-enabled electrocardiogram (ECG) analysis: a comparison between standard twelve-lead and single-lead setups | 2024 | Saglietto, Andrea; Baccega, Daniele; Esposito, Roberto; Anselmino, Matteo; Dusi, Veronica; Fiandrotti, Attilio; De Ferrari, Gaetano Maria | |
| Fair Semi-supervised Representation Learning for Tabular Data Classification | 2023 | Shuyi Yang, Mattia Cerrato, Dino Ienco, Ruggero G. Pensa, Roberto Esposito | |
| Pooling critical datasets with Federated Learning | 2023 | Yasir Arfat; Gianluca Mittone; Iacopo Colonnelli; Fabrizio D'Ascenzo; Roberto Esposito; Marco Aldinucci | |
| Invariant Representations with Stochastically Quantized Neural Networks | 2023 | Cerrato M.; Koppel M.; Esposito R.; Kramer S. | |
| Hierarchical Priors for Hyperspherical Prototypical Networks | 2023 | Samuele Fonio, Lorenzo Paletto, Mattia Cerrato, Dino Ienco, Roberto Esposito | |
| FairSwiRL: fair semi-supervised classification with representation learning | 2023 | Yang, Shuyi; Cerrato, Mattia; Ienco, Dino; Pensa, Ruggero G.; Esposito, Roberto | |
| Federated Learning meets HPC and cloud | 2023 | Iacopo Colonnelli, Bruno Casella, Gianluca Mittone, Yasir Arfat, Barbara Cantalupo, Roberto Esposito, Alberto Riccardo Martinelli, Doriana Medic, Marco Aldinucci | |
| Experimenting with Emerging RISC-V Systems for Decentralised Machine Learning | 2023 | Gianluca Mittone , Nicolò Tonci , Robert Birke , Iacopo Colonnelli , Doriana Medic , Andrea Bartolini , Roberto Esposito , Emanuele Parisi , Francesco Beneventi , Mirko Polato , Massimo Torquati , Luca Benini , Marco Aldinucci | |
| Boosting Methods for Federated Learning | 2023 | Roberto Esposito, Mirko Polato, Marco Aldinucci | |
| 1st Workshop on Federated Learning Technologies | 2023 | Polato M.; Esposito R.; Riviera W.; Xu Z.; King I. | |
| Dealing With Multipositive Unlabeled Learning Combining Metric Learning and Deep Clustering | 2022 | Racanati A.; Esposito R.; Ienco D. | |
| Towards EXtreme scale technologies and accelerators for euROhpc hw/Sw supercomputing applications for exascale: The TEXTAROSSA approach | 2022 | Agosta, Giovanni; Aldinucci, Marco; Alvarez, Carlos; Ammendola, Roberto; Arfat, Yasir; Beaumont, Olivier; Bernaschi, Massimo; Biagioni, Andrea; Boccali, Tommaso; Bramas, Berenger; Brandolese, Carlo; Cantalupo, Barbara; Carrozzo, Mauro; Cattaneo, Daniele; Celestini, Alessandro; Celino, Massimo; Colonnelli, Iacopo; Cretaro, Paolo; D’Ambra, Pasqua; Danelutto, Marco; Esposito, Roberto; Eyraud-Dubois, Lionel; Filgueras, Antonio; Fornaciari, William; Frezza, Ottorino; Galimberti, Andrea; Giacomini, Francesco; Goglin, Brice; Gregori, Daniele; Guermouche, Abdou; Iannone, Francesco; Kulczewski, Michal; Lo Cicero, Francesca; Lonardo, Alessandro; Martinelli, Alberto R.; Martinelli, Michele; Martorell, Xavier; Massari, Giuseppe; Montangero, Simone; Mittone, Gianluca; Namyst, Raymond; Oleksiak, Ariel; Palazzari, Paolo; Paolucci, Pier Stanislao; Reghenzani, Federico; Rossi, Cristian; Saponara, Sergio; Simula, Francesco; Terraneo, Federico; Thibault, Samuel; Torquati, Massimo; Turisini, Matteo; Vicini, Piero; Vidal, Miquel; Zoni, Davide; Zummo, Giuseppe | |
| Towards a Conditional and Multi-preferential Approach to Explainability of Neural Network Models in Computational Logic (Extended Abstract) | 2022 | Alviano M.; Bartoli F.; Botta M.; Esposito R.; Giordano L.; Gliozzi V.; Dupre D.T. | |
| Model Checking Verification of MultiLayer Perceptrons in Datalog: a Many-valued Approach with Typicality | 2022 | Francesco Bartoli, Marco Botta, Roberto Esposito, Laura Giordano, Daniele Theseider Dupré | |
| From Common Sense Reasonig to Neural Network Models: a Conditional and Multi-preferential Approach for Explainability and Neuro-Symbolic Integration | 2022 | Francesco Bartoli, Marco Botta, Roberto Esposito, Laura Giordano, Valentina Gliozzi ,Daniele Theseider Dupré | |
| Benchmarking FedAvg and FedCurv for Image Classification Tasks | 2022 | Bruno Casella; Roberto Esposito; Carlo Cavazzoni; Marco Aldinucci | |
| Machine learning for cardiology | 2022 | Arfat, Yasir; Mittone, Gianluca; Esposito, Roberto; Cantalupo, Barbara; DE Ferrari, Gaetano M; Aldinucci, Marco |
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