Antonio Ferrara

According to our database, Antonio Ferrara authored at least 34 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Detecting label noise in longitudinal Alzheimer's data with explainable artificial intelligence.

Paolo Sorino, Angela Lombardi, Domenico Lofù, Tommaso Colafiglio, Antonio Ferrara, Fedelucio Narducci, Eugenio Di Sciascio, Tommaso Di Noia

Brain Informatics, December, 2025

DataRec: A Python Library for Standardized and Reproducible Data Management in Recommender Systems.

Alberto Carlo Maria Mancino, Salvatore Bufi, Angela Di Fazio, Antonio Ferrara, Daniele Malitesta, Claudio Pomo, Tommaso Di Noia

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Enhancing Reproducibility and Replicability in Information Retrieval: A Path Towards Scientific Integrity and Effective Research.

Antonio Ferrara, Claudio Pomo, Nicola Tonellotto

Proceedings of the Advances in Information Retrieval, 2025

Enhancing Utility in Differentially Private Recommendation Data Release via Exponential Mechanism.

Antonio Ferrara, Angela Di Fazio, Alberto Carlo Maria Mancino, Tommaso Di Noia, Eugenio Di Sciascio

Proceedings of the Advances in Information Retrieval, 2025

2024

Explainable brain age prediction: a comparative evaluation of morphometric and deep learning pipelines.

Maria Luigia Natalia De Bonis, Giuseppe Fasano, Angela Lombardi, Carmelo Ardito, Antonio Ferrara, Eugenio Di Sciascio, Tommaso Di Noia

Brain Informatics, December, 2024

DataRec: A Framework for Standardizing Recommendation Data Processing and Analysis.

Alberto Carlo Maria Mancino, Salvatore Bufi, Angela Di Fazio, Daniele Malitesta, Claudio Pomo, Antonio Ferrara, Tommaso Di Noia

CoRR, 2024

DIVAN: Deep-Interest Virality-Aware Network to Exploit Temporal Dynamics in News Recommendation.

Antonio Ferrara, Marco Valentini, Paolo Masciullo, Antonio De Candia, Davide Abbattista, Riccardo Fusco, Claudio Pomo, Vito Walter Anelli, Giovanni Maria Biancofiore, Ludovico Boratto, Fedelucio Narducci

Proceedings of the Recommender Systems Challenge 2024, 2024

Sixth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS).

Vito Walter Anelli, Antonio Ferrara, Cataldo Musto, Fedelucio Narducci, Azzurra Ragone, Markus Zanker

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

KGUF: Simple Knowledge-Aware Graph-Based Recommender with User-Based Semantic Features Filtering.

Salvatore Bufi, Alberto Carlo Maria Mancino, Antonio Ferrara, Daniele Malitesta, Tommaso Di Noia, Eugenio Di Sciascio

Proceedings of the Advances on Graph-Based Approaches in Information Retrieval, 2024

2023

KGFlex: Efficient Recommendation with Sparse Feature Factorization and Knowledge Graphs.

Antonio Ferrara, Vito Walter Anelli, Alberto Carlo Maria Mancino, Tommaso Di Noia, Eugenio Di Sciascio

Trans. Recomm. Syst., December, 2023

Report on the 13th Italian Information Retrieval Workshop (IIR 2023).

Guglielmo Faggioli, Antonio Ferrara, Franco Maria Nardini, Nicola Tonellotto

SIGIR Forum, December, 2023

An Out-of-the-Box Application for Reproducible Graph Collaborative Filtering extending the Elliot Framework.

Daniele Malitesta, Claudio Pomo, Vito Walter Anelli, Tommaso Di Noia, Antonio Ferrara

Proceedings of the Adjunct Proceedings of the 31st ACM Conference on User Modeling, 2023

KGTORe: Tailored Recommendations through Knowledge-aware GNN Models.

Alberto Carlo Maria Mancino, Antonio Ferrara, Salvatore Bufi, Daniele Malitesta, Tommaso Di Noia, Eugenio Di Sciascio

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Fifth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS).

Vito Walter Anelli, Pierpaolo Basile, Gerard de Melo, Francesco M. Donini, Antonio Ferrara, Cataldo Musto, Fedelucio Narducci, Azzurra Ragone, Markus Zanker

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Knowledge Graph Datasets for Recommendation.

Vincenzo Paparella, Alberto Carlo Maria Mancino, Antonio Ferrara, Claudio Pomo, Vito Walter Anelli, Tommaso Di Noia

Proceedings of the Fifth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

2022

User-controlled federated matrix factorization for recommender systems.

Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci

J. Intell. Inf. Syst., 2022

Inferring User Decision-Making Processes in Recommender Systems with Knowledge Graphs.

Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Alberto Carlo Maria Mancino

Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

The Challenging Reproducibility Task in Recommender Systems Research between Traditional and Deep Learning Models.

Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco M. Donini, Eugenio Di Sciascio, Tommaso Di Noia

Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

How Neighborhood Exploration influences Novelty and Diversity in Graph Collaborative Filtering.

Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Daniele Malitesta, Claudio Pomo

Proceedings of the 2nd Workshop on Multi-Objective Recommender Systems co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

Fourth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS).

Vito Walter Anelli, Pierpaolo Basile, Gerard de Melo, Francesco Maria Donini, Antonio Ferrara, Cataldo Musto, Fedelucio Narducci, Azzurra Ragone, Markus Zanker

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Addressing Privacy in Recommender Systems with Federated Learning.

Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Alberto Carlo Maria Mancino

Proceedings of the 12th Italian Information Retrieval Workshop 2022, 2022

Reshaping Graph Recommendation with Edge Graph Collaborative Filtering and Customer Reviews.

Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Daniele Malitesta, Claudio Pomo

Proceedings of the Workshop on Deep Learning for Search and Recommendation (DL4SR 2022) co-located with the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022

2021

Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation.

Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco Maria Donini, Tommaso Di Noia

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Federated Recommender Systems with Learning to Rank.

Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci

Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021

How to put users in control of their data in federated top-N recommendation with learning to rank.

Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Sparse Feature Factorization for Recommender Systems with Knowledge Graphs.

Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Alberto Carlo Maria Mancino

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

V-Elliot: Design, Evaluate and Tune Visual Recommender Systems.

Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco Maria Donini, Tommaso Di Noia

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Pursuing Privacy in Recommender Systems: the View of Users and Researchers from Regulations to Applications.

Vito Walter Anelli, Luca Belli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci, Claudio Pomo

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Sparse Embeddings for Recommender Systems with Knowledge Graphs.

Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Alberto Carlo Maria Mancino

Proceedings of the 11th Italian Information Retrieval Workshop 2021, 2021

How to Perform Reproducible Experiments in the ELLIOT Recommendation Framework: Data Processing, Model Selection, and Performance Evaluation.

Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco Maria Donini, Eugenio Di Sciascio, Tommaso Di Noia

Proceedings of the 11th Italian Information Retrieval Workshop 2021, 2021

FedeRank: User Controlled Feedback with Federated Recommender Systems.

Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci

Proceedings of the Advances in Information Retrieval, 2021

2020

Prioritized multi-criteria federated learning.

Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara

Intelligenza Artificiale, 2020

How to Put Users in Control of their Data via Federated Pair-Wise Recommendation.

Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci

CoRR, 2020

2019

Towards Effective Device-Aware Federated Learning.

Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara

Proceedings of the AI*IA 2019 - Advances in Artificial Intelligence, 2019