Simone Scardapane | Ricerc@Sapienza

Publications

Title	Published on	Year
Spatio-temporal transformers for decoding neural movement control	JOURNAL OF NEURAL ENGINEERING	2025
Influence based explainability of brain tumors segmentation in magnetic resonance imaging	PROGRESS IN ARTIFICIAL INTELLIGENCE	2025
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
Position: Topological Deep Learning is the New Frontier for Relational Learning	Proceedings of Machine Learning Research	2024
On the exploration of graph state-space models for spatio-temporal renewable energy forecasting	Proceedings - 24th EEEIC International Conference on Environment and Electrical Engineering and 8th I and CPS Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 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

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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