Malitesta, Daniele
Malitesta, Daniele
Dipartimento di Ingegneria Elettrica e dell'Informazione
Personale esterno ed autonomi
0000-0003-2228-0333
A Novel Evaluation Perspective on GNNs-based Recommender Systems through the Topology of the User-Item Graph
2024 Malitesta, Daniele; Pomo, Claudio; Anelli, Vito Walter; Mancino, Alberto Carlo Maria; Di Noia, Tommaso; Di Sciascio, Eugenio
A Study of Defensive Methods to Protect Visual Recommendation against Adversarial Manipulation of Images
2021 Anelli, Vito Walter; Deldjoo, Yashar; Di Noia, Tommaso; Malitesta, Daniele; Merra, Felice Antonio
A Study on the Relative Importance of Convolutional Neural Networks in Visually-Aware Recommender Systems
2021 Deldjoo, Y; Di Noia, T; Malitesta, D; Merra, Fa
An Out-of-the-Box Application for Reproducible Graph Collaborative Filtering extending the Elliot Framework
2023 Malitesta, D.; Pomo, C.; Anelli, V. W.; Di Noia, T.; Ferrara, A.
Assessing perceptual and recommendation mutation of adversarially-poisoned visual recommenders
2020 Anelli, Vito Walter; Di Noia, Tommaso; Malitesta, Daniele; Merra, Felice Antonio
Auditing Consumer- and Producer-Fairness in Graph Collaborative Filtering
2023 Anelli, V. W.; Deldjoo, Y.; Di Noia, T.; Malitesta, D.; Paparella, V.; Pomo, C.
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis
2023 Anelli, Vito Walter; Malitesta, Daniele; Pomo, Claudio; Bellogin, Alejandro; Di Sciascio, Eugenio; Di Noia, Tommaso
DataRec: A Python Library for Standardized and Reproducible Data Management in Recommender Systems
2025 Mancino, Alberto Carlo Maria; Bufi, Salvatore; Di Fazio, Angela; Ferrara, Antonio; Malitesta, Daniele; Pomo, Claudio; Di Noia, Tommaso
Deep Learning-Based Adaptive Image Compression System for a Real-World Scenario
2020 Anelli, Vito Walter; Deldjoo, Yashar; Di Noia, Tommaso; Malitesta, Daniele
Denoise to Protect: A Method to Robustify Visual Recommenders from Adversaries
2023 Merra, F. A.; Anelli, V. W.; Di Noia, T.; Malitesta, D.; Mancino, A. C. M.
Do We Really Need to Drop Items with Missing Modalities in Multimodal Recommendation?
2024 Malitesta, Daniele; Rossi, Emanuele; Pomo, Claudio; Di Noia, Tommaso; Malliaros, Fragkiskos D.
Ducho 2.0: Towards a More Up-to-Date Unified Framework for the Extraction of Multimodal Features in Recommendation
2024 Attimonelli, Matteo; Danese, Danilo; Malitesta, Daniele; Pomo, Claudio; Gassi, Giuseppe; Di Noia, Tommaso
Ducho: A Unified Framework for the Extraction of Multimodal Features in Recommendation
2023 Malitesta, Daniele; Gassi, Giuseppe; Pomo, Claudio; Di Noia, Tommaso
Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
2021 Anelli, Vito Walter; Bellogin, Alejandro; Ferrara, Antonio; Malitesta, Daniele; Merra, Felice Antonio; Pomo, Claudio; Maria Donini, Francesco; Di Noia, Tommaso
Examining Fairness in Graph-Based Collaborative Filtering: A Consumer and Producer Perspective
2023 Di Palma, D.; Anelli, V. W.; Malitesta, D.; Paparella, V.; Pomo, C.; Deldjoo, Y.; Di Noia, T.
First International Workshop on Data Quality-Aware Multimodal Recommendation (DaQuaMRec)
2025 Pomo, Claudio; Jannach, Dietmar; Kim, Yubin; Malitesta, Daniele; Mancino, Alberto Carlo Maria; Mcauley, Julian; Melchiorre, Alessandro; Nawaz, Shah
Formalizing Multimedia Recommendation through Multimodal Deep Learning
2024 Malitesta, Daniele; Cornacchia, Giandomenico; Pomo, Claudio; Merra, Felice Antonio; Di Noia, Tommaso; Di Sciascio, Eugenio
Graph neural networks for recommendation leveraging multimodal information
2024 Malitesta, Daniele
How Neighborhood Exploration influences Novelty and Diversity in Graph Collaborative Filtering
2022 Anelli, V. W.; Deldjoo, Y.; Di Noia, T.; Di Sciascio, E.; Ferrara, A.; Malitesta, D.; Pomo, C.
How to perform reproducible experiments in the ELLIOT recommendation framework: Data processing, model selection, and performance evaluation
2021 Anelli, V. W.; Bellogin, A.; Ferrara, A.; Malitesta, D.; Merra, F. A.; Pomo, C.; Donini, F. M.; Di Sciascio, E.; Di Noia, T.