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simone.scardapane@uniroma1.it
Simone Scardapane
Ricercatore
Struttura:
DIPARTIMENTO DI INGEGNERIA DELL'INFORMAZIONE, ELETTRONICA E TELECOMUNICAZIONI
E-mail:
simone.scardapane@uniroma1.it
Pagina istituzionale corsi di laurea
Curriculum Sapienza
Publications
Title
Published on
Year
Drop edges and adapt. A fairness enforcing fine-tuning for graph neural networks
NEURAL NETWORKS
2023
ICML 2023 topological deep learning challenge. Design and results
Proceedings of Machine Learning Research
2023
EGG-GAE: scalable graph neural networks for tabular data imputation
International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, Palau de Congressos, Valencia, Spain
2023
Continual Barlow Twins: Continual Self-Supervised Learning for Remote Sensing Semantic Segmentation
2023
GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinates
2023
Explainability in subgraphs-enhanced Graph Neural Networks
2023
Probabilistic Load Forecasting With Reservoir Computing
IEEE ACCESS
2023
Continual Self-Supervised Learning in Earth Observation with Embedding Regularization
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
2023
Tracin in Semantic Segmentation of Tumor Brains in MRI, an Extended Approach
Proceedings of the 2nd AIxIA Workshop on Artificial Intelligence For Healthcare (HC@AIxIA 2023)
2023
Combining Stochastic Explainers and Subgraph Neural Networks can Increase Expressivity and Interpretability
ESANN 2023- Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
2023
Self-supervised learning for medieval handwriting identification. A case study from the Vatican Apostolic Library
INFORMATION PROCESSING & MANAGEMENT
2022
A probabilistic re-intepretation of confidence scores in multi-exit models
ENTROPY
2022
Handwriting Declines With Human Aging: A Machine Learning Study
FRONTIERS IN AGING NEUROSCIENCE
2022
Pixle: a fast and effective black-box attack based on rearranging pixels
2022 International Joint Conference on Neural Networks (IJCNN)
2022
Multi-site Forecasting of Energy Time Series with Spatio-Temporal Graph Neural Networks
Proceedings of the International Joint Conference on Neural Networks
2022
A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling
IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS. SYSTEMS
2022
Re-identification of objects from aerial photos with hybrid siamese neural networks
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
2022
A Meta-Learning Approach for Training Explainable Graph Neural Networks
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
2022
Evaluating Adversarial Attacks and Defences in Infrared Deep Learning Monitoring Systems
2022 International Joint Conference on Neural Networks (IJCNN)
2022
Engagement Detection with Multi-Task Training in E-Learning Environments
ICIAP 2022: Image Analysis and Processing – ICIAP 2022
2022
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ERC
PE6_7
PE6_11
KET
Big data & computing
Interessi di ricerca
Keywords
machine learning
deep learning
Graph algorithms
Gruppi di ricerca
ISPAMM - Intelligent Signal Processing and MulitiMedia
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