Roberto Esposito

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 43

Top Topics

Conditional Logic

Extended Abstract

Top Venues

Publications

Lorenzo Sciandra, Roberto Esposito, Andrea Cesare Grosso, Laura Sacerdote, Cristina Zucca
Graph Convolutional Branch and Bound. CoRR (2024)
Mario Alviano, Francesco Bartoli, Marco Botta, Roberto Esposito, Laura Giordano, Daniele Theseider Dupré
Verifying Properties of a MultiLayer Network for the Recognition of Basic Emotions in a Conditional DL with Typicality (Extended Abstract). Description Logics (2024)
Mario Alviano, Francesco Bartoli, Marco Botta, Roberto Esposito, Laura Giordano, Daniele Theseider Dupré
A preferential interpretation of MultiLayer Perceptrons in a conditional logic with typicality. Int. J. Approx. Reason. 164 (2024)
Mario Alviano, Marco Botta, Roberto Esposito, Laura Giordano, Daniele Theseider Dupré
Many-valued Temporal Weighted Knowledge Bases with Typicality for Explainability. CILC (2024)
Bruno Casella, Roberto Esposito, Antonio Sciarappa, Carlo Cavazzoni, Marco Aldinucci
Experimenting With Normalization Layers in Federated Learning on Non-IID Scenarios. IEEE Access 12 (2024)
Lorenzo Paletto, Valerio Basile, Roberto Esposito
Label Augmentation for Zero-Shot Hierarchical Text Classification. ACL (1) (2024)
Roberto Esposito, Mattia Cerrato, Marco Locatelli
Partitioned least squares. Mach. Learn. 113 (9) (2024)
Shuyi Yang, Mattia Cerrato, Dino Ienco, Ruggero G. Pensa, Roberto Esposito
FairSwiRL: fair semi-supervised classification with representation learning. Mach. Learn. 112 (9) (2023)
Mario Alviano, Francesco Bartoli, Marco Botta, Roberto Esposito, Laura Giordano, Daniele Theseider Dupré
A preferential interpretation of MultiLayer Perceptrons in a conditional logic with typicality. CoRR (2023)
Yasir Arfat, Gianluca Mittone, Iacopo Colonnelli, Fabrizio D'Ascenzo, Roberto Esposito, Marco Aldinucci
Pooling critical datasets with Federated Learning. PDP (2023)
Bruno Casella, Roberto Esposito, Carlo Cavazzoni, Marco Aldinucci
Benchmarking FedAvg and FedCurv for Image Classification Tasks. CoRR (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
Experimenting with Emerging ARM and RISC-V Systems for Decentralised Machine Learning. CoRR (2023)
Bruno Casella, Roberto Esposito, Antonio Sciarappa, Carlo Cavazzoni, Marco Aldinucci
Experimenting with Normalization Layers in Federated Learning on non-IID scenarios. CoRR (2023)
Samuele Fonio, Lorenzo Paletto, Mattia Cerrato, Dino Ienco, Roberto Esposito
Hierarchical priors for Hyperspherical Prototypical Networks. ESANN (2023)
Mattia Cerrato, Marius Köppel, Roberto Esposito, Stefan Kramer
Invariant Representations with Stochastically Quantized Neural Networks. AAAI (2023)
Roberto Esposito, Mirko Polato, Marco Aldinucci
Boosting Methods for Federated Learning. SEBD (2023)
Shuyi Yang, Mattia Cerrato, Dino Ienco, Ruggero G. Pensa, Roberto Esposito
Fair Semi-supervised Representation Learning for Tabular Data Classification. SEBD (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
Experimenting with Emerging RISC-V Systems for Decentralised Machine Learning. CF (2023)
Mirko Polato, Roberto Esposito, Walter Riviera, Zenglin Xu, Irwin King
1st Workshop on Federated Learning Technologies. WWW (Companion Volume) (2023)
Francesco Bartoli, Marco Botta, Roberto Esposito, Laura Giordano, Valentina Gliozzi, Daniele Theseider Dupré
From Common Sense Reasonig to Neural Network Models: a Conditional and Multi-preferential Approach for Explainability and Neuro-Symbolic Integration. FCR@KI (2022)
Mirko Polato, Roberto Esposito, Marco Aldinucci
Boosting the Federation: Cross-Silo Federated Learning without Gradient Descent. IJCNN (2022)
Mattia Cerrato, Alesia Vallenas Coronel, Marius Köppel, Alexander Segner, Roberto Esposito, Stefan Kramer
Fair Interpretable Representation Learning with Correction Vectors. CoRR (2022)
Bruno Casella, Roberto Esposito, Carlo Cavazzoni, Marco Aldinucci
Benchmarking FedAvg and FedCurv for Image Classification Tasks. itaDATA (2022)
Mattia Cerrato, Marius Köppel, Roberto Esposito, Stefan Kramer
Invariant Representations with Stochastically Quantized Neural Networks. CoRR (2022)
Mario Alviano, Francesco Bartoli, Marco Botta, Roberto Esposito, Laura Giordano, Valentina Gliozzi, Daniele Theseider Dupré
Towards a Conditional and Multi-preferential Approach to Explainability of Neural Network Models in Computational Logic (Extended Abstract). XAI.it@AI*IA (2022)
Giovanni Agosta, Marco Aldinucci, Carlos Álvarez, Roberto Ammendola, Yasir Arfat, Olivier Beaumont, Massimo Bernaschi, Andrea Biagioni, Tommaso Boccali, Bérenger Bramas, Carlo Brandolese, Barbara Cantalupo, Mauro Carrozzo, Daniele Cattaneo, Alessandro Celestini, Massimo Celino, Iacopo Colonnelli, Paolo Cretaro, Pasqua D'Ambra, Marco Danelutto, Roberto Esposito, Lionel Eyraud-Dubois, Antonio Filgueras, William Fornaciari, Ottorino Frezza, Andrea Galimberti, Francesco Giacomini, Brice Goglin, Daniele Gregori, Abdou Guermouche, Francesco Iannone, Michal Kulczewski, Francesca Lo Cicero, Alessandro Lonardo, Alberto Riccardo Martinelli, Michele Martinelli, Xavier Martorell, Giuseppe Massari, Simone Montangero, Gianluca Mittone, Raymond Namyst, Ariel Oleksiak, Paolo Palazzari, Pier Stanislao Paolucci, Federico Reghenzani, Cristian Rossi, Sergio Saponara, Francesco Simula, Federico Terraneo, Samuel Thibault, Massimo Torquati, Matteo Turisini, Piero Vicini, Miquel Vidal, Davide Zoni, Giuseppe Zummo
Towards EXtreme scale technologies and accelerators for euROhpc hw/Sw supercomputing applications for exascale: The TEXTAROSSA approach. Microprocess. Microsystems 95 (2022)
Francesco Bartoli, Marco Botta, Roberto Esposito, Laura Giordano, Daniele Theseider Dupré
Model Checking Verification of MultiLayer Perceptrons in Datalog: a Many-valued Approach with Typicality. Datalog (2022)
Amedeo Racanati, Roberto Esposito, Dino Ienco
Dealing With Multipositive Unlabeled Learning Combining Metric Learning and Deep Clustering. IEEE Access 10 (2022)
Iacopo Colonnelli, Barbara Cantalupo, Roberto Esposito, Matteo Pennisi, Concetto Spampinato, Marco Aldinucci
HPC Application Cloudification: The StreamFlow Toolkit (Invited Paper). PARMA-DITAM@HiPEAC (2021)
Shuyi Yang, Dino Ienco, Roberto Esposito, Ruggero G. Pensa
An Inductive Framework for Semi-supervised Learning (Discussion Paper). SEBD (2021)
Roberto Esposito
Fairness and Neural Networks. SEBD (2021)
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, Bérenger Bramas, Lionel Eyraud-Dubois, Brice Goglin, Abdou Guermouche, Raymond Namyst, Samuel Thibault, Antonio Filgueras, Miquel Vidal, Carlos Álvarez, 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
TEXTAROSSA: Towards EXtreme scale Technologies and Accelerators for euROhpc hw/Sw Supercomputing Applications for exascale. DSD (2021)
Alessandro Mazzei, Mattia Cerrato, Roberto Esposito, Valerio Basile
Ranking Algorithms for Word Ordering in Surface Realization. Inf. 12 (8) (2021)
Marco Aldinucci, Giovanni Agosta, Antonio Andreini, Claudio Agostino Ardagna, Andrea Bartolini, Alessandro Cilardo, Biagio Cosenza, Marco Danelutto, Roberto Esposito, William Fornaciari, Roberto Giorgi, Davide Lengani, Raffaele Montella, Mauro Olivieri, Sergio Saponara, Daniele Simoni, Massimo Torquati
The Italian research on HPC key technologies across EuroHPC. CF (2021)
Marco Botta, Davide Cavagnino, Roberto Esposito
NeuNAC: A novel fragile watermarking algorithm for integrity protection of neural networks. Inf. Sci. 576 (2021)
Shuyi Yang, Dino Ienco, Roberto Esposito, Ruggero G. Pensa
: A generic framework for semi-supervised inductive learning. Neurocomputing 447 (2021)
Mattia Cerrato, Roberto Esposito, Laura Li Puma
Constraining deep representations with a noise module for fair classification. SAC (2020)
Mattia Cerrato, Marius Köppel, Alexander Segner, Roberto Esposito, Stefan Kramer
Fair pairwise learning to rank. DSAA (2020)
Roberto Esposito, Mattia Cerrato, Marco Locatelli
Partitioned Least Squares. CoRR (2020)
Marco Grazioso, Roberto Esposito, Emma Maayan-Fanar, Tsvi Kuflik, Francesco Cutugno
Using Eye Tracking Data to Understand Visitors' Behaviour. AVI²CH@AVI (2020)
Mattia Cerrato, Edoardo Arnaudo, Valentina Gliozzi, Roberto Esposito
Taxonomic and Whole Object Constraints: A Deep Architecture. CogSci (2019)
Roberto Esposito, Mattia Cerrato, Marco Locatelli
Partitioned Least Squares. AI*IA (2019)
Giorgia Fenoglio, Roberto Esposito, Valentina Gliozzi
A Neural Network Model for Taxonomic Responding with Realistic Visual Inputs. CogSci (2017)
Rosa Meo, Roberto Esposito, Marco Botta, S. Viola, C. M. Choor, V. Mellano, F. Ciaramaglia
Autonomous abnormal behaviour detection in intelligence surveillance and reconnaissance applications. RTSI (2015)
Alessia Visconti, Giuseppe Ermondi, Giulia Caron, Roberto Esposito
Prediction and interpretation of the lipophilicity of small peptides. J. Comput. Aided Mol. Des. 29 (4) (2015)
Roberto Esposito, Daniele Paolo Radicioni, Alessia Visconti
CDoT: Optimizing MAP Queries on Trees. AI*IA (2013)
Alessia Visconti, Roberto Esposito, Francesca Cordero
Restructuring the Gene Ontology to emphasise regulative pathways and to improve gene similarity queries. Int. J. Comput. Biol. Drug Des. 4 (3) (2011)
Alessia Visconti, Roberto Esposito, Francesca Cordero
Tackling the DREAM Challenge for Gene Regulatory Networks Reverse Engineering. AI*IA (2011)
Roberto Esposito, Giuseppe Ermondi, Giulia Caron
OpenCDLig: a free web application for sharing resources about cyclodextrin/ligand complexes. J. Comput. Aided Mol. Des. 23 (9) (2009)
Roberto Esposito, Daniele Paolo Radicioni
Empirical Assessment of Two Strategies for Optimizing the Viterbi Algorithm. AI*IA (2009)
Roberto Esposito, Daniele Paolo Radicioni
CarpeDiem: Optimizing the Viterbi Algorithm and Applications to Supervised Sequential Learning. J. Mach. Learn. Res. 10 (2009)
Daniele Paolo Radicioni, Roberto Esposito
Tonal Harmony Analysis: A Supervised Sequential Learning Approach. AI*IA (2007)
Roberto Esposito, Daniele Paolo Radicioni
Trip Around the HMPerceptron Algorithm: Empirical Findings and Theoretical Tenets. AI*IA (2007)
Arianna Gallo, Roberto Esposito, Rosa Meo, Marco Botta
Incremental Extraction of Association Rules in Applicative Domains. Appl. Artif. Intell. 21 (4&5) (2007)
Roberto Esposito, Daniele Paolo Radicioni
CarpeDiem: an algorithm for the fast evaluation of SSL classifiers. ICML (2007)
Daniele Paolo Radicioni, Roberto Esposito
A Conditional Model for Tonal Analysis. ISMIS (2006)
Roberto Esposito, Rosa Meo, Marco Botta
Answering constraint-based mining queries on itemsets using previous materialized results. J. Intell. Inf. Syst. 26 (1) (2006)
Arianna Gallo, Roberto Esposito, Rosa Meo, Marco Botta
Optimization of Association Rules Extraction Through Exploitation of Context Dependent Constraints. AI*IA (2005)
Roberto Esposito, Lorenza Saitta
Experimental comparison between bagging and Monte Carlo ensemble classification. ICML (2005)
Roberto Esposito, Lorenza Saitta
A Monte Carlo analysis of ensemble classification. ICML (2004)
Rosa Meo, Pier Luca Lanzi, Maristella Matera, Danilo Careggio, Roberto Esposito
Employing Inductive Databases in Concrete Applications. Constraint-Based Mining and Inductive Databases (2004)
Rosa Meo, Pier Luca Lanzi, Maristella Matera, Roberto Esposito
Integrating Web Conceptual Modeling and Web Usage Mining. WebKDD (2004)
Roberto Esposito
Empirical Evaluation of the Effects of Concept Complexity on Generalization Error. ECAI (2004)
Rosa Meo, Marco Botta, Roberto Esposito
Query Rewriting in Itemset Mining. FQAS (2004)
Rosa Meo, Marco Botta, Roberto Esposito, Arianna Gallo
A Novel Incremental Approach to Association Rules Mining in Inductive Databases. Constraint-Based Mining and Inductive Databases (2004)
Roberto Esposito, Lorenza Saitta
Explaining Bagging with Monte Carlo Theory. AI*IA (2003)
Roberto Esposito, Lorenza Saitta
Monte Carlo Theory as an Explanation of Bagging and Boosting. IJCAI (2003)
Roberto Esposito, Lorenza Saitta
Is a Greedy Covering Strategy an Extreme Boosting? ISMIS (2002)
Roberto Esposito, Lorenza Saitta
Boosting as a Monte Carlo Algorithm. AI*IA (2001)