| Elliot: a Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation VW Anelli, A Bellogín, A Ferrara, D Malitesta, FA Merra, C Pomo, ... The 44th International ACM SIGIR Conference on Research and Development in …, 2021 | 150 | 2021 |
| TAaMR: Targeted Adversarial Attack against Multimedia Recommender Systems T Di Noia, D Malitesta, FA Merra the 50th Annual IEEE/IFIP International Conference on Dependable Systems and …, 2020 | 61 | 2020 |
| A Study of Defensive Methods to Protect Visual Recommendation Against Adversarial Manipulation of Images VW Anelli, Y Deldjoo, T Di Noia, D Malitesta, FA Merra The 44th International ACM SIGIR Conference on Research and Development in …, 2021 | 43 | 2021 |
| A Study on the Relative Importance of Convolutional Neural Networks in Visually-Aware Recommender Systems Y Deldjoo, T Di Noia, D Malitesta, FA Merra Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 28 | 2021 |
| Leveraging Content-Style Item Representation for Visual Recommendation Y Deldjoo, T Di Noia, D Malitesta, FA Merra The 44th European Conference on Information Retrieval (ECIR'22), 2022 | 20 | 2022 |
| V-elliot: Design, evaluate and tune visual recommender systems VW Anelli, A Bellogín, A Ferrara, D Malitesta, FA Merra, C Pomo, ... Proceedings of the 15th ACM Conference on Recommender Systems, 768-771, 2021 | 20 | 2021 |
| Auditing Consumer- and Producer-Fairness in Graph Collaborative Filtering VW Anelli, Y Deldjoo, T Di Noia, D Malitesta, V Paparella, C Pomo The 45th European Conference on Information Retrieval (ECIR'23), 2023 | 19 | 2023 |
| Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis VW Anelli, D Malitesta, C Pomo, A Bellogin, E Di Sciascio, T Di Noia The 17th ACM Conference on Recommender Systems (RecSys'23), 2023 | 15 | 2023 |
| Formalizing Multimedia Recommendation through Multimodal Deep Learning D Malitesta, G Cornacchia, C Pomo, FA Merra, T Di Noia, E Di Sciascio ACM Transactions on Recommender Systems, 2024 | 14 | 2024 |
| KGTORe: Tailored Recommendations through Knowledge-aware GNN Models ACM Mancino, A Ferrara, S Bufi, D Malitesta, T Di Noia, E Di Sciascio The 17th ACM Conference on Recommender Systems (RecSys'23), 2023 | 13 | 2023 |
| Denoise to Protect: A Method to Robustify Visual Recommenders from Adversaries FA Merra, VW Anelli, T Di Noia, D Malitesta, ACM Mancino The 46th International ACM SIGIR Conference on Research and Development in …, 2023 | 13 | 2023 |
| Reshaping Graph Recommendation with Edge Graph Collaborative Filtering and Customer Reviews VW Anelli, Y Deldjoo, T Di Noia, E Di Sciascio, A Ferrara, D Malitesta, ... Workshop on Deep Learning for Search and Recommendation (CIKM'22), 2022 | 13 | 2022 |
| How Neighborhood Exploration influences Novelty and Diversity in Graph Collaborative Filtering VW Anelli, Y Deldjoo, T Di Noia, E Di Sciascio, A Ferrara, D Malitesta, ... 2nd Workshop on Multi-Objective Recommender Systems (RecSys'22), 2022 | 12 | 2022 |
| Ducho: A Unified Framework for the Extraction of Multimodal Features in Recommendation D Malitesta, G Gassi, C Pomo, T Di Noia The 31st ACM International Conference on Multimedia (MM'23), 2023 | 9 | 2023 |
| Assessing Perceptual and Recommendation Mutation of Adversarially-Poisoned Visual Recommenders (short paper). VW Anelli, T Di Noia, D Malitesta, FA Merra DP@ AI* IA 2776, 49-56, 2020 | 9 | 2020 |
| Disentangling the Performance Puzzle of Multimodal-aware Recommender Systems D Malitesta, G Cornacchia, C Pomo, T Di Noia 2nd Workshop on A Well-Rounded Evaluation of Recommender Systems (KDD'23), 2023 | 8 | 2023 |
| Deep learning-based adaptive image compression system for a real-world scenario VW Anelli, Y Deldjoo, T Di Noia, D Malitesta 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS), 1-8, 2020 | 7 | 2020 |
| On Popularity Bias of Multimodal-aware Recommender Systems: a Modalities-driven Analysis D Malitesta, G Cornacchia, C Pomo, T Di Noia Workshop on Deep Multimodal Learning for Information Retrieval (MM'23), 2023 | 6 | 2023 |
| Ducho 2.0: Towards a More Up-to-Date Unified Framework for the Extraction of Multimodal Features in Recommendation M Attimonelli, D Danese, D Malitesta, C Pomo, G Gassi, T Di Noia The 2024 ACM Web Conference, 2024 | 5 | 2024 |
| Dealing with Missing Modalities in Multimodal Recommendation: a Feature Propagation-based Approach D Malitesta, E Rossi, C Pomo, FD Malliaros, T Di Noia arXiv preprint arXiv:2403.19841, 2024 | 5 | 2024 |
Tommaso Di NoiaFull Professor, Polytechnic University of BariVerifisert e-postadresse på poliba.it
