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2020 – today
- 2024
[j5]Francesco Grassi, Giorgio Manganini
, Konstantinos I. Kouramas:
Graph-based Data Mining, Pattern Recognition and Anomaly Detection for Intelligent Energy Networks. Comput. Ind. Eng. 193: 110329 (2024)- [c6]Giuliano Cornacchia, Mirco Nanni, Francesco Grassi:
Barcelona Effect: Studying the Instability of Shortest Paths in Urban Settings. EDBT/ICDT Workshops 2024 - 2023
- [j4]Francesco Grassi, Angelo Coluccia:
Distribution-Agnostic Linear Unbiased Estimation With Saturated Weights for Heterogeneous Data. IEEE Trans. Signal Process. 71: 2910-2926 (2023) - 2022
- [j3]Francesco Grassi, Angelo Coluccia:
On the sum of random samples with bounded Pareto distribution. Signal Process. 192: 108389 (2022) - 2021
- [j2]Hamed Taheri Gorji, Michela Leocadi, Francesco Grassi, Gaspare Galati:
The art gallery maze: a novel tool to assess human navigational abilities. Cogn. Process. 22(3): 501-514 (2021) - 2020
- [c5]Giuseppe Vella, Anastasios Dimou, David Gutiérrez-Pérez, Daniele Toti, Tommaso Nicoletti, Ernesto La Mattina, Francesco Grassi, Andrea Ciapetti, Michael McElligott, Nauman Shahid, Petros Daras:
SURVANT: An Innovative Semantics-Based Surveillance Video Archives Investigation Assistant. ICPR Workshops (7) 2020: 611-626 - [i5]Francesco Grassi, Giorgio Manganini, Michele Garraffa, Laura Mainini:
Resource Aware Multifidelity Active Learning for Efficient Optimization. CoRR abs/2007.04674 (2020)
2010 – 2019
- 2019
- [c4]Simone Aiassa, Francesco Grassi, Rossana Terracciano, Sandro Carrara, Danilo Demarchi:
Live Demonstration: Quasi-Digital Portable Pen to Monitor Anaesthetics Delivery. BioCAS 2019: 1 - [c3]Nauman Shahid, Francesco Grassi, Pierre Vandergheynst:
Tensor Robust PCA on Graphs. ICASSP 2019: 5406-5410 - 2018
- [j1]Francesco Grassi, Andreas Loukas, Nathanaël Perraudin, Benjamin Ricaud:
A Time-Vertex Signal Processing Framework: Scalable Processing and Meaningful Representations for Time-Series on Graphs. IEEE Trans. Signal Process. 66(3): 817-829 (2018) - 2017
- [c2]Nathanaël Perraudin, Andreas Loukas, Francesco Grassi, Pierre Vandergheynst:
Towards stationary time-vertex signal processing. ICASSP 2017: 3914-3918 - [i4]Francesco Grassi, Andreas Loukas, Nathanaël Perraudin, Benjamin Ricaud:
A Time-Vertex Signal Processing Framework. CoRR abs/1705.02307 (2017) - 2016
- [c1]Francesco Grassi, Nathanaël Perraudin, Benjamin Ricaud:
Tracking time-vertex propagation using dynamic graph wavelets. GlobalSIP 2016: 351-355 - [i3]Francesco Grassi, Nathanaël Perraudin, Benjamin Ricaud:
Tracking Time-Vertex Propagation using Dynamic Graph Wavelets. CoRR abs/1606.06653 (2016) - [i2]Nathanaël Perraudin, Andreas Loukas, Francesco Grassi, Pierre Vandergheynst:
Towards stationary time-vertex signal processing. CoRR abs/1606.06962 (2016) - [i1]Nauman Shahid, Francesco Grassi, Pierre Vandergheynst:
Multilinear Low-Rank Tensors on Graphs & Applications. CoRR abs/1611.04835 (2016)
Coauthor Index
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