Giovanni De Felice

20212022202320241 3 7 10

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Vladimir V. GusevUniversity of LiverpoolVerified email at liverpool.ac.uk
Federico OttomanoPh.D. student at University of Liverpool, Data Mining & Machine Learning (DMML) GroupVerified email at liverpool.ac.uk
Daniele ZambonThe Swiss AI Lab IDSIA, USIVerified email at usi.ch
Andrea CiniThe Swiss AI Lab IDSIA & USIVerified email at usi.ch
Cesare AlippiUniversità della Svizzera italiana, Politecnico di MilanoVerified email at usi.ch
Taylor D. SparksProfessor of Materials Science and Engineering University of Utah, Salt Lake City, UTVerified email at eng.utah.edu
JY GoulermasProfessor, Computer Science, University of Liverpool, Data Mining & Machine Learning (DMML) groupVerified email at liverpool.ac.uk
Michael W GaultoisLeverhulme Research Centre for Functional Materials DesignVerified email at liverpool.ac.uk
Rahul SavaniProfessor of Computer Science, University of LiverpoolVerified email at liverpool.ac.uk

Giovanni De Felice

Ph.D. student, University of Liverpool, Data Mining & Machine Learning (DMML) group

Verified email at liverpool.ac.uk - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Mu2e run I sensitivity projections for the neutrinoless μ−→ e− conversion search in aluminum Mu2e Collaboration Universe 9 (1), 54, 2023	13	2023
Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations G De Felice, A Cini, D Zambon, V Gusev, C Alippi International Conference on Learning Representations (ICLR), 2024	3	2024
An updated estimate of the Mu2e experiment sensitivity G De Felice University of Pisa & Fermi National Accelerator Laboratory, 2020	3	2020
Not as simple as we thought: A rigorous examination of data aggregation in materials informatics F Ottomano, G De Felice, V Gusev, T Sparks Digital Discovery 3 (2), 337-346, 2024	2	2024
Time Series Kernels based on Nonlinear Vector AutoRegressive Delay Embeddings G De Felice, J Goulermas, V Gusev Advances in Neural Information Processing Systems (NeurIPS), 2024		2024
Investigating extrapolation and low-data challenges via contrastive learning of chemical compositions F Ottomano, G De Felice, R Savani, V Gusev, M Rosseinsky AI for Accelerated Materials Design (NeurIPS Workshop) - Spotlight, 2023		2023
Spatio-Temporal Weathering Predictions in the Sparse Data Regime with Gaussian Processes G De Felice, V Gusev, JY Goulermas, M Gaultois, M Rosseinsky, ... AI for Science: Progress and Promises (NeurIPS Workshop), 2022		2022

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