Sfoglia per Autore
Interacting with features: Visual inspection of black-box fault type classification systems in electrical grids
2020-01-01 Ardito, Carmelo; Deldjoo, Yashar; Di Sciascio, Eugenio; Nazary, Fatemeh
Adversarial machine learning in recommender systems (AML-RECSYS)
2020-01-01 Deldjoo, Yashar; Di Noia, Tommaso; Merra, Felice Antonio
Federated recommender systems with learning to rank
2021-01-01 Anelli, V. W.; Deldjoo, Y.; Di Noia, T.; Ferrara, A.; Narducci, F.
Towards Multi-Modal Conversational Information Seeking
2021-01-01 Deldjoo, Yashar; Trippas, Johanne R.; Zamani, Hamed
Towards Improving Car Point-Cloud Tracking Via Detection Updates
2021-01-01 Deldjoo, Y; Di Noia, T; Di Sciascio, E; Reno, V; Stella, E; Pernisco, G
A flexible framework for evaluating user and item fairness in recommender systems
2021-01-01 Deldjoo, Yashar; Anelli, Vito Walter; Zamani, Hamed; Bellogin, Alejandro; Di Noia, Tommaso
A Survey on Adversarial Recommender Systems: From Attack/Defense Strategies to Generative Adversarial Networks
2021-01-01 Deldjoo, Yashar; Di Noia, Tommaso; Merra, Felice Antonio
FedeRank: User Controlled Feedback with Federated Recommender Systems
2021-01-01 Anelli, Vito Walter; Deldjoo, Yashar; Di Noia, Tommaso; Ferrara, Antonio; Narducci, Fedelucio
ISCADA: Towards a Framework for Interpretable Fault Prediction in Smart Electrical Grids
2021-01-01 Ardito, C.; Deldjoo, Y.; Di Sciascio, E.; Nazary, F.; Sapienza, G.
Session-based Hotel Recommendations Dataset: As part of the ACM Recommender System Challenge 2019
2021-01-01 Adamczak, Jens; Deldjoo, Yashar; Moghaddam, Farshad Bakhshandegan; Knees, Peter; Leyson, Gerard-Paul; Monreal, Philipp
Explaining recommender systems fairness and accuracy through the lens of data characteristics
2021-01-01 Deldjoo, Yashar; Bellogin, Alejandro; Di Noia, Tommaso
Revisiting security threat on smart grids: Accurate and interpretable fault location prediction and type classification
2021-01-01 Ardito, C.; Deldjoo, Y.; Di Sciascio, E.; Nazary, F.
How to put users in control of their data in federated top-N recommendation with learning to rank
2021-01-01 Anelli, Vito Walter; Deldjoo, Yashar; Di Noia, Tommaso; Ferrara, Antonio; Narducci, Fedelucio
A Study of Defensive Methods to Protect Visual Recommendation against Adversarial Manipulation of Images
2021-01-01 Anelli, Vito Walter; Deldjoo, Yashar; Di Noia, Tommaso; Malitesta, Daniele; Merra, Felice Antonio
A regression framework to interpret the robustness of recommender systems against shilling attacks
2021-01-01 Deldjoo, Y.; Di Noia, T.; Di Sciascio, E.; Merra, F. A.
A Formal Analysis of Recommendation Quality of Adversarially-trained Recommenders
2021-01-01 Anelli, V. W.; Deldjoo, Y.; Di Noia, T.; Merra, F. A.
A Study on the Relative Importance of Convolutional Neural Networks in Visually-Aware Recommender Systems
2021-01-01 Deldjoo, Y; Di Noia, T; Malitesta, D; Merra, Fa
Pursuing Privacy in Recommender Systems: the Viewof Users and Researchers from Regulations to Applications
2021-01-01 Anelli, Vw; Belli, L; Deldjoo, Y; Di Noia, T; Ferrara, A; Narducci, F; Pomo, C
MSAP: Multi-Step Adversarial Perturbations on Recommender Systems Embeddings
2021-01-01 Anelli, Vito Walter; Bellogin, Alejandro; Deldjoo, Yashar; Di Noia, Tommaso; Merra, Felice Antonio
Exploring the Impact of Temporal Bias in Point-of-Interest Recommendation
2022-01-01 Rahmani, Hossein A.; Naghiaei, Mohammadmehdi; Tourani, Ali; Deldjoo, Yashar
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