Titolo |
Pubblicato in |
Anno |
Adversarial Data Poisoning for Fake News Detection: How to Make a Model Misclassify a Target News Without Modifying it |
Machine Learning and Principles and Practice of Knowledge Discovery in Databases |
2025 |
A Reproducible Analysis of Sequential Recommender Systems |
IEEE ACCESS |
2025 |
Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations |
ECIR 2024: Advances in Information Retrieval |
2024 |
Evading Community Detection via Counterfactual Neighborhood Search |
ACM International Conference on Knowledge Discovery and Data Mining |
2024 |
The Power of Noise: Redefining Retrieval for RAG Systems |
SIGIR '24: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval |
2024 |
DanteLLM: Let’s Push Italian LLM Research Forward! |
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) |
2024 |
A topological description of loss surfaces based on Betti Numbers |
NEURAL NETWORKS |
2024 |
Rethinking Relevance: How Noise and Distractors Impact Retrieval-Augmented Generation |
Proceedings of the 14th Italian Information Retrieval Workshop (IIR 2024) |
2024 |
Mitigating Extreme Cold Start in Graph-based RecSys through Re-ranking |
CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management |
2024 |
Consistent Counterfactual Explanations via Anomaly Control and Data Coherence |
IEEE TRANSACTIONS ON ARTIFICIAL INTELLIGENCE |
2024 |
CycleDRUMS: automatic drum arrangement for bass lines using CycleGAN |
DISCOVER ARTIFICIAL INTELLIGENCE |
2023 |
Deep active learning for misinformation detection using geometric deep learning |
ONLINE SOCIAL NETWORKS AND MEDIA |
2023 |
Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels |
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) |
2023 |
The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples |
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '23) |
2023 |
Integrating Item Relevance in Training Loss for Sequential Recommender Systems |
RecSys '23: Proceedings of the 17th ACM Conference on Recommender Systems |
2023 |
Sparse Vicious Attacks on Graph Neural Networks |
IEEE TRANSACTIONS ON ARTIFICIAL INTELLIGENCE |
2023 |
Attention-likelihood relationship in transformers |
International Conference on Learning Representations |
2023 |
Sheaf Hypergraph Networks |
Proceedings of the Thirty-seventh Conference on Neural Information Processing Systems - NeurIPS 2023 |
2023 |
A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1 |
|
2023 |
Combining Distance to Class Centroids and Outlier Discounting for
Improved Learning with Noisy Labels |
|
2023 |