Roberto Esposito

78 papers A* 5A 3B 6C 5Misc 1Journal 25Unranked 30

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	IRPAPERS: A Visual Document Benchmark for Scientific Retrieval and Question Answering. CoRR Connor Shorten, Augustas Skaburskas, Daniel M. Jones, Charles Pierse, Roberto Esposito, John Trengrove, Etienne Dilocker, Bob van Luijt
2026	—	`ed.`	Proceedings of the 4th Italian Conference on Big Data and Data Science (ITADATA 2025), Turin, Italy, September 9-11, 2025 ITADATA Nicola Bena, Michelangelo Ceci, Roberto Esposito, Riccardo Torlone, Alex Della Bruna, Claudio A. Ardagna, Mirko Polato, Luigi Romano
2025	A	`conf`	Fed2RC: Federated Rocket Kernels and Ridge Classifier for Time Series Classification. ECAI Bruno Casella, Samuele Fonio, Lorenzo Sciandra, Claudio Gallicchio, Marco Aldinucci, Mirko Polato, Roberto Esposito
2025	A	`conf`	Hyperbolic Prototypical Entailment Cones for Image Classification. AISTATS Samuele Fonio, Roberto Esposito, Marco Aldinucci
2025	J	`jnl`	SVF: Support Vector Federation. IEEE Access Mirko Polato, Roberto Esposito, Lorenzo Sciandra
2024	J	`jnl`	A preferential interpretation of MultiLayer Perceptrons in a conditional logic with typicality. Int. J. Approx. Reason. Mario Alviano, Francesco Bartoli, Marco Botta, Roberto Esposito, Laura Giordano, Daniele Theseider Dupré
2024	J	`jnl`	Experimenting With Normalization Layers in Federated Learning on Non-IID Scenarios. IEEE Access Bruno Casella, Roberto Esposito, Antonio Sciarappa, Carlo Cavazzoni, Marco Aldinucci
2024	B	`conf`	FedHP: Federated Learning with Hyperspherical Prototypical Regularization. ESANN Samuele Fonio, Mirko Polato, Roberto Esposito
2024	J	`jnl`	Graph Convolutional Branch and Bound. CoRR Lorenzo Sciandra, Roberto Esposito, Andrea Cesare Grosso, Laura Sacerdote, Cristina Zucca
2024	—	`conf`	Label Augmentation for Zero-Shot Hierarchical Text Classification. ACL (1) Lorenzo Paletto, Valerio Basile, Roberto Esposito
2024	—	`conf`	Many-valued Temporal Description Logics with Typicality: an Abridged Report (short paper). AI4CC-IPS-RCRA-SPIRIT@AI*IA Mario Alviano, Marco Botta, Roberto Esposito, Laura Giordano, Daniele Theseider Dupré
2024	—	`conf`	Many-valued Temporal Weighted Knowledge Bases with Typicality for Explainability. CILC Mario Alviano, Marco Botta, Roberto Esposito, Laura Giordano, Daniele Theseider Dupré
2024	J	`jnl`	Partitioned least squares. Mach. Learn. Roberto Esposito, Mattia Cerrato, Marco Locatelli
2024	—	`conf`	Verifying Properties of a MultiLayer Network for the Recognition of Basic Emotions in a Conditional DL with Typicality (Extended Abstract). Description Logics Mario Alviano, Francesco Bartoli, Marco Botta, Roberto Esposito, Laura Giordano, Daniele Theseider Dupré
2023	—	`conf`	1st Workshop on Federated Learning Technologies. WWW (Companion Volume) Mirko Polato, Roberto Esposito, Walter Riviera, Zenglin Xu, Irwin King
2023	J	`jnl`	A preferential interpretation of MultiLayer Perceptrons in a conditional logic with typicality. CoRR Mario Alviano, Francesco Bartoli, Marco Botta, Roberto Esposito, Laura Giordano, Daniele Theseider Dupré
2023	J	`jnl`	Benchmarking FedAvg and FedCurv for Image Classification Tasks. CoRR Bruno Casella, Roberto Esposito, Carlo Cavazzoni, Marco Aldinucci
2023	—	`conf`	Boosting Methods for Federated Learning. SEBD Roberto Esposito, Mirko Polato, Marco Aldinucci
2023	J	`jnl`	Experimenting with Emerging ARM and RISC-V Systems for Decentralised Machine Learning. CoRR 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
2023	—	`conf`	Experimenting with Emerging RISC-V Systems for Decentralised Machine Learning. CF 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
2023	J	`jnl`	Experimenting with Normalization Layers in Federated Learning on non-IID scenarios. CoRR Bruno Casella, Roberto Esposito, Antonio Sciarappa, Carlo Cavazzoni, Marco Aldinucci
2023	—	`conf`	Fair Semi-supervised Representation Learning for Tabular Data Classification. SEBD Shuyi Yang, Mattia Cerrato, Dino Ienco, Ruggero G. Pensa, Roberto Esposito
2023	J	`jnl`	FairSwiRL: fair semi-supervised classification with representation learning. Mach. Learn. Shuyi Yang, Mattia Cerrato, Dino Ienco, Ruggero G. Pensa, Roberto Esposito
2023	B	`conf`	Hierarchical priors for Hyperspherical Prototypical Networks. ESANN Samuele Fonio, Lorenzo Paletto, Mattia Cerrato, Dino Ienco, Roberto Esposito
2023	A*	`conf`	Invariant Representations with Stochastically Quantized Neural Networks. AAAI Mattia Cerrato, Marius Köppel, Roberto Esposito, Stefan Kramer
2023	C	`conf`	Pooling critical datasets with Federated Learning. PDP Yasir Arfat, Gianluca Mittone, Iacopo Colonnelli, Fabrizio D'Ascenzo, Roberto Esposito, Marco Aldinucci
2022	—	`conf`	Benchmarking FedAvg and FedCurv for Image Classification Tasks. itaDATA Bruno Casella, Roberto Esposito, Carlo Cavazzoni, Marco Aldinucci
2022	B	`conf`	Boosting the Federation: Cross-Silo Federated Learning without Gradient Descent. IJCNN Mirko Polato, Roberto Esposito, Marco Aldinucci
2022	J	`jnl`	Dealing With Multipositive Unlabeled Learning Combining Metric Learning and Deep Clustering. IEEE Access Amedeo Racanati, Roberto Esposito, Dino Ienco
2022	J	`jnl`	Fair Interpretable Representation Learning with Correction Vectors. CoRR Mattia Cerrato, Alesia Vallenas Coronel, Marius Köppel, Alexander Segner, Roberto Esposito, Stefan Kramer
2022	—	`conf`	From Common Sense Reasonig to Neural Network Models: a Conditional and Multi-preferential Approach for Explainability and Neuro-Symbolic Integration. FCR@KI Francesco Bartoli, Marco Botta, Roberto Esposito, Laura Giordano, Valentina Gliozzi, Daniele Theseider Dupré
2022	J	`jnl`	Invariant Representations with Stochastically Quantized Neural Networks. CoRR Mattia Cerrato, Marius Köppel, Roberto Esposito, Stefan Kramer
2022	—	`conf`	Model Checking Verification of MultiLayer Perceptrons in Datalog: a Many-valued Approach with Typicality. Datalog Francesco Bartoli, Marco Botta, Roberto Esposito, Laura Giordano, Daniele Theseider Dupré
2022	J	`jnl`	Towards EXtreme scale technologies and accelerators for euROhpc hw/Sw supercomputing applications for exascale: The TEXTAROSSA approach. Microprocess. Microsystems 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
2022	—	`conf`	Towards a Conditional and Multi-preferential Approach to Explainability of Neural Network Models in Computational Logic (Extended Abstract). XAI.it@AI*IA Mario Alviano, Francesco Bartoli, Marco Botta, Roberto Esposito, Laura Giordano, Valentina Gliozzi, Daniele Theseider Dupré
2021	—	`conf`	An Inductive Framework for Semi-supervised Learning (Discussion Paper). SEBD Shuyi Yang, Dino Ienco, Roberto Esposito, Ruggero G. Pensa
2021	J	`jnl`	ESA Neurocomputing Shuyi Yang, Dino Ienco, Roberto Esposito, Ruggero G. Pensa
2021	—	`conf`	Fairness and Neural Networks. SEBD Roberto Esposito
2021	—	`conf`	HPC Application Cloudification: The StreamFlow Toolkit (Invited Paper). PARMA-DITAM@HiPEAC Iacopo Colonnelli, Barbara Cantalupo, Roberto Esposito, Matteo Pennisi, Concetto Spampinato, Marco Aldinucci
2021	J	`jnl`	NeuNAC: A novel fragile watermarking algorithm for integrity protection of neural networks. Inf. Sci. Marco Botta, Davide Cavagnino, Roberto Esposito
2021	J	`jnl`	Ranking Algorithms for Word Ordering in Surface Realization. Inf. Alessandro Mazzei, Mattia Cerrato, Roberto Esposito, Valerio Basile
2021	C	`conf`	TEXTAROSSA: Towards EXtreme scale Technologies and Accelerators for euROhpc hw/Sw Supercomputing Applications for exascale. DSD 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
2021	—	`conf`	The Italian research on HPC key technologies across EuroHPC. CF 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
2020	Misc	`conf`	Constraining deep representations with a noise module for fair classification. SAC Mattia Cerrato, Roberto Esposito, Laura Li Puma
2020	B	`conf`	Fair pairwise learning to rank. DSAA Mattia Cerrato, Marius Köppel, Alexander Segner, Roberto Esposito, Stefan Kramer
2020	J	`jnl`	Partitioned Least Squares. CoRR Roberto Esposito, Mattia Cerrato, Marco Locatelli
2020	—	`conf`	Using Eye Tracking Data to Understand Visitors' Behaviour. AVI²CH@AVI Marco Grazioso, Roberto Esposito, Emma Maayan-Fanar, Tsvi Kuflik, Francesco Cutugno
2019	—	`conf`	Partitioned Least Squares. AI*IA Roberto Esposito, Mattia Cerrato, Marco Locatelli
2019	B	`conf`	Taxonomic and Whole Object Constraints: A Deep Architecture. CogSci Mattia Cerrato, Edoardo Arnaudo, Valentina Gliozzi, Roberto Esposito
2017	B	`conf`	A Neural Network Model for Taxonomic Responding with Realistic Visual Inputs. CogSci Giorgia Fenoglio, Roberto Esposito, Valentina Gliozzi
2015	—	`conf`	Autonomous abnormal behaviour detection in intelligence surveillance and reconnaissance applications. RTSI Rosa Meo, Roberto Esposito, Marco Botta, Sergio Viola, Chee Ming Choor, Valter Mellano, Franco Ciaramaglia
2015	J	`jnl`	Prediction and interpretation of the lipophilicity of small peptides. J. Comput. Aided Mol. Des. Alessia Visconti, Giuseppe Ermondi, Giulia Caron, Roberto Esposito
2013	—	`conf`	CDoT: Optimizing MAP Queries on Trees. AI*IA Roberto Esposito, Daniele Paolo Radicioni, Alessia Visconti
2011	J	`jnl`	Restructuring the Gene Ontology to emphasise regulative pathways and to improve gene similarity queries. Int. J. Comput. Biol. Drug Des. Alessia Visconti, Roberto Esposito, Francesca Cordero
2011	—	`conf`	Tackling the DREAM Challenge for Gene Regulatory Networks Reverse Engineering. AI*IA Alessia Visconti, Roberto Esposito, Francesca Cordero
2010	—	`ch.`	BREVE: An HMPerceptron-Based Chord Recognition System. Advances in Music Information Retrieval Daniele Paolo Radicioni, Roberto Esposito
2009	J	`jnl`	CarpeDiem: Optimizing the Viterbi Algorithm and Applications to Supervised Sequential Learning. J. Mach. Learn. Res. Roberto Esposito, Daniele Paolo Radicioni
2009	—	`conf`	Empirical Assessment of Two Strategies for Optimizing the Viterbi Algorithm. AI*IA Roberto Esposito, Daniele Paolo Radicioni
2009	J	`jnl`	OpenCDLig: a free web application for sharing resources about cyclodextrin/ligand complexes. J. Comput. Aided Mol. Des. Roberto Esposito, Giuseppe Ermondi, Giulia Caron
2007	A*	`conf`	CarpeDiem: an algorithm for the fast evaluation of SSL classifiers. ICML Roberto Esposito, Daniele Paolo Radicioni
2007	J	`jnl`	Incremental Extraction of Association Rules in Applicative Domains. Appl. Artif. Intell. Arianna Gallo, Roberto Esposito, Rosa Meo, Marco Botta
2007	—	`conf`	Tonal Harmony Analysis: A Supervised Sequential Learning Approach. AI*IA Daniele Paolo Radicioni, Roberto Esposito
2007	—	`conf`	Trip Around the HMPerceptron Algorithm: Empirical Findings and Theoretical Tenets. AI*IA Roberto Esposito, Daniele Paolo Radicioni
2006	C	`conf`	A Conditional Model for Tonal Analysis. ISMIS Daniele Paolo Radicioni, Roberto Esposito
2006	J	`jnl`	Answering constraint-based mining queries on itemsets using previous materialized results. J. Intell. Inf. Syst. Roberto Esposito, Rosa Meo, Marco Botta
2005	A*	`conf`	Experimental comparison between bagging and Monte Carlo ensemble classification. ICML Roberto Esposito, Lorenza Saitta
2005	—	`conf`	Optimization of Association Rules Extraction Through Exploitation of Context Dependent Constraints. AI*IA Arianna Gallo, Roberto Esposito, Rosa Meo, Marco Botta
2004	A*	`conf`	A Monte Carlo analysis of ensemble classification. ICML Roberto Esposito, Lorenza Saitta
2004	—	`conf`	A Novel Incremental Approach to Association Rules Mining in Inductive Databases. Constraint-Based Mining and Inductive Databases Rosa Meo, Marco Botta, Roberto Esposito, Arianna Gallo
2004	A	`conf`	Empirical Evaluation of the Effects of Concept Complexity on Generalization Error. ECAI Roberto Esposito
2004	—	`conf`	Employing Inductive Databases in Concrete Applications. Constraint-Based Mining and Inductive Databases Rosa Meo, Pier Luca Lanzi, Maristella Matera, Danilo Careggio, Roberto Esposito
2004	—	`conf`	Integrating Web Conceptual Modeling and Web Usage Mining. WebKDD Rosa Meo, Pier Luca Lanzi, Maristella Matera, Roberto Esposito
2004	C	`conf`	Query Rewriting in Itemset Mining. FQAS Rosa Meo, Marco Botta, Roberto Esposito
2003	—	`—`	Analyzing ensemble learning in the framework of Monte Carlo theory. Roberto Esposito
2003	—	`conf`	Explaining Bagging with Monte Carlo Theory. AI*IA Roberto Esposito, Lorenza Saitta
2003	A*	`conf`	Monte Carlo Theory as an Explanation of Bagging and Boosting. IJCAI Roberto Esposito, Lorenza Saitta
2002	C	`conf`	Is a Greedy Covering Strategy an Extreme Boosting? ISMIS Roberto Esposito, Lorenza Saitta
2001	—	`conf`	Boosting as a Monte Carlo Algorithm. AI*IA Roberto Esposito, Lorenza Saitta