Roberto Esposito
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
19
Active years
2002–2026
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ESANN | When Curvature Counts: Hyperbolic Geometry in Prototype-Based Image Classification. | Silvia Grosso, Samuele Fonio, Mirko Polato, Roberto Esposito, Sara Bouchenak |
| 2025 | AISTATS | Hyperbolic Prototypical Entailment Cones for Image Classification. | Samuele Fonio, Roberto Esposito, Marco Aldinucci |
| 2025 | ECAI | Fed2RC: Federated Rocket Kernels and Ridge Classifier for Time Series Classification. | Bruno Casella, Samuele Fonio, Lorenzo Sciandra, Claudio Gallicchio, Marco Aldinucci, Mirko Polato, Roberto Esposito |
| 2024 | ACL | Label Augmentation for Zero-Shot Hierarchical Text Classification. | Lorenzo Paletto, Valerio Basile, Roberto Esposito |
| 2024 | ESANN | FedHP: Federated Learning with Hyperspherical Prototypical Regularization. | Samuele Fonio, Mirko Polato, Roberto Esposito |
| 2023 | AAAI | Invariant Representations with Stochastically Quantized Neural Networks. | Mattia Cerrato, Marius Kppel, Roberto Esposito, Stefan Kramer |
| 2023 | ESANN | Hierarchical priors for Hyperspherical Prototypical Networks. | Samuele Fonio, Lorenzo Paletto, Mattia Cerrato, Dino Ienco, Roberto Esposito |
| 2023 | PDP | Pooling critical datasets with Federated Learning. | Yasir Arfat, Gianluca Mittone, Iacopo Colonnelli, Fabrizio D'Ascenzo, Roberto Esposito, Marco Aldinucci |
| 2023 | WWW | 1st Workshop on Federated Learning Technologies. | Mirko Polato, Roberto Esposito, Walter Riviera, Zenglin Xu, Irwin King |
| 2022 | IJCNN | Boosting the Federation: Cross-Silo Federated Learning without Gradient Descent. | Mirko Polato, Roberto Esposito, Marco Aldinucci |
| 2022 | KI | From Common Sense Reasonig to Neural Network Models: a Conditional and Multi-preferential Approach for Explainability and Neuro-Symbolic Integration. | Francesco Bartoli, Marco Botta, Roberto Esposito, Laura Giordano, Valentina Gliozzi, Daniele Theseider Dupr |
| 2021 | DSD | TEXTAROSSA: Towards EXtreme scale Technologies and Accelerators for euROhpc hw/Sw Supercomputing Applications for exascale. | Giovanni Agosta, Daniele Cattaneo, William Fornaciari, Andrea Galimberti, Giuseppe Massari, Federico Reghenzani, Federico Terraneo, Davide Zoni, Carlo Brandolese, Massimo Celino, Francesco Iannone, Paolo Palazzari, Giuseppe Zummo, Massimo Bernaschi, Pasqua D'Ambra, Sergio Saponara, Marco Danelutto, Massimo Torquati, Marco Aldinucci, Yasir Arfat, Barbara Cantalupo, Iacopo Colonnelli, Roberto Esposito, Alberto Riccardo Martinelli, Gianluca Mittone, Olivier Beaumont, Brenger Bramas, Lionel Eyraud-Dubois, Brice Goglin, Abdou Guermouche, Raymond Namyst, Samuel Thibault, Antonio Filgueras, Miquel Vidal, Carlos lvarez, Xavier Martorell, Ariel Oleksiak, Michal Kulczewski, Alessandro Lonardo, Piero Vicini, Francesca Lo Cicero, Francesco Simula, Andrea Biagioni, Paolo Cretaro, Ottorino Frezza, Pier Stanislao Paolucci, Matteo Turisini, Francesco Giacomini, Tommaso Boccali, Simone Montangero, Roberto Ammendola |
| 2020 | AVI | Using Eye Tracking Data to Understand Visitors' Behaviour. | Marco Grazioso, Roberto Esposito, Emma Maayan-Fanar, Tsvi Kuflik, Francesco Cutugno |
| 2020 | DSAA | Fair pairwise learning to rank. | Mattia Cerrato, Marius Kppel, Alexander Segner, Roberto Esposito, Stefan Kramer |
| 2020 | SAC | Constraining deep representations with a noise module for fair classification. | Mattia Cerrato, Roberto Esposito, Laura Li Puma |
| 2019 | CogSci | Taxonomic and Whole Object Constraints: A Deep Architecture. | Mattia Cerrato, Edoardo Arnaudo, Valentina Gliozzi, Roberto Esposito |
| 2017 | CogSci | A Neural Network Model for Taxonomic Responding with Realistic Visual Inputs. | Giorgia Fenoglio, Roberto Esposito, Valentina Gliozzi |
| 2007 | ICML | CarpeDiem: an algorithm for the fast evaluation of SSL classifiers. | Roberto Esposito, Daniele Paolo Radicioni |
| 2006 | ISMIS | A Conditional Model for Tonal Analysis. | Daniele Paolo Radicioni, Roberto Esposito |
| 2005 | ICML | Experimental comparison between bagging and Monte Carlo ensemble classification. | Roberto Esposito, Lorenza Saitta |
| 2004 | ECAI | Empirical Evaluation of the Effects of Concept Complexity on Generalization Error. | Roberto Esposito |
| 2004 | FQAS | Query Rewriting in Itemset Mining. | Rosa Meo, Marco Botta, Roberto Esposito |
| 2004 | ICML | A Monte Carlo analysis of ensemble classification. | Roberto Esposito, Lorenza Saitta |
| 2004 | KDD | Integrating Web Conceptual Modeling and Web Usage Mining. | Rosa Meo, Pier Luca Lanzi, Maristella Matera, Roberto Esposito |
| 2003 | IJCAI | Monte Carlo Theory as an Explanation of Bagging and Boosting. | Roberto Esposito, Lorenza Saitta |
| 2002 | ISMIS | Is a Greedy Covering Strategy an Extreme Boosting? | Roberto Esposito, Lorenza Saitta |