Pietro Lio | Ricerc@Sapienza

Pubblicazioni

Titolo	Pubblicato in	Anno
Biasing Federated Learning With a New Adversarial Graph Attention Network	IEEE TRANSACTIONS ON MOBILE COMPUTING	2024
Topological Message Passing for Higher - Order and Long - Range Interactions	2024 International Joint Conference on Neural Networks (IJCNN)	2024
Integrating Structure and Sequence: Protein Graph Embeddings via GNNs and LLMs	International Conference on Pattern Recognition Applications and Methods	2024
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach	WWW 2024 - Proceedings of the ACM Web Conference	2024
Dynamics-Informed Protein Design with Structure Conditioning	12th International Conference on Learning Representations, ICLR 2024	2024
Unsupervised Pretraining for Fact Verification by Language Model Distillation	12th International Conference on Learning Representations, ICLR 2024	2024
TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios	MM 2024 - Proceedings of the 32nd ACM International Conference on Multimedia	2024
Evaluating Representation Learning on the Protein Structure Universe	12th International Conference on Learning Representations, ICLR 2024	2024
Deep and Shallow Learning Model-Based Sleep Apnea Diagnosis Systems: A Comprehensive Study	IEEE ACCESS	2024
Sheaf Hypergraph Networks	Proceedings of the Thirty-seventh Conference on Neural Information Processing Systems - NeurIPS 2023	2023
Concept Distillation in Graph Neural Networks	World Conference on Explainable Artificial Intelligence	2023
Fast Multi-Contrast MRI Acquisition by Optimal Sampling of Information Complementary to Pre-Acquired MRI Contrast	IEEE TRANSACTIONS ON MEDICAL IMAGING	2023
VISION GRAPH U-NET: GEOMETRIC LEARNING ENHANCED ENCODER FOR MEDICAL IMAGE SEGMENTATION AND RESTORATION	INVERSE PROBLEMS AND IMAGING	2023
A second update on mapping the human genetic architecture of COVID-19	NATURE	2023
Hypergraph factorization for multi-tissue gene expression imputation	NATURE MACHINE INTELLIGENCE	2023
Logic Explained Networks	ARTIFICIAL INTELLIGENCE	2023
Adverse Effects of COVID-19 Vaccination: Machine Learning and Statistical Approach to Identify and Classify Incidences of Morbidity and Postvaccination Reactogenicity	HEALTHCARE	2023
SafetyMed: A Novel IoMT Intrusion Detection System Using CNN-LSTM Hybridization	ELECTRONICS	2023
The impact of imputation quality on machine learning classifiers for datasets with missing values	COMMUNICATIONS MEDICINE	2023
PSRTTCA: A new approach for improving the prediction and characterization of tumor T cell antigens using propensity score representation learning	COMPUTERS IN BIOLOGY AND MEDICINE	2023