Simone Scardapane


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
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
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


  • PE6_7
  • PE6_11


  • 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:


machine learning
deep learning
Graph algorithms

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