Simone Scardapane | Ricerc@Sapienza

Pubblicazioni

Titolo	Pubblicato in	Anno
ArcheoWeedNet: Weed Classification in the Parco archeologico del Colosseo	Image Analysis and Processing - ICIAP 2023 Workshops	2024
Convolutional neural networks for the detection of esca disease complex in asymptomatic grapevine leaves	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	2024
Temporal Graph Neural Networks and Explainability for Future Energy Scenarios	Memorie ET2024	2024
Conditional computation in neural networks: Principles and research trends	INTELLIGENZA ARTIFICIALE	2024
From latent graph to latent topology inference: differentiable cell complex module	International conference on learning representations - Proceedings (ICLR 2024)	2024
Urban 3D Change Detection with Deep Learning: Custom Data Augmentation Techniques	EGU General Assembly 2024	2024
Inferring 3D change detection from bitemporal optical images	ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING	2023
Rearranging Pixels is a Powerful Black-Box Attack for RGB and Infrared Deep Learning Models	IEEE ACCESS	2023
Learning Speech Emotion Representations in the Quaternion Domain	IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING	2023
Towards artificial intelligence applications in next generation cytopathology	BIOMEDICINES	2023
Convergent Approaches to AI Explainability for HEP Muonic Particles Pattern Recognition	COMPUTING AND SOFTWARE FOR BIG SCIENCE	2023
Continual learning with invertible generative models	NEURAL NETWORKS	2023
Explainable spatio-temporal Graph Neural Networks for multi-site photovoltaic energy production	APPLIED ENERGY	2023
Machine Un-learning. An overview of techniques, applications, and future directions	COGNITIVE COMPUTATION	2023
On the robustness of vision transformers for in-flight monocular depth estimation	Industrial Artificial Intelligence	2023
Interpreting black-box models. A review on explainable artificial intelligence	COGNITIVE COMPUTATION	2023
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

ERC

PE6_7
PE6_11

KET

Big data & computing

Interessi di ricerca

My research focuses on machine and deep learning applied to audio, images, and graphs, and their deployment in distributed and decentralized environments, with a focus on edge machine learning, continual learning, and more. You can read more on my website: http://sscardapane.it/.

Keywords

machine learning

deep learning

Graph algorithms