Michele Colombo

11 papers B 1C 1Journal 7Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Investigation of Water and Mud Effects on the Propagation of Real 5G Signal by Using the Reverberation Chamber.
IEEE Access
Luca Bastianelli, Riccardo Diamanti, Alfredo De Leo, Emanuel Colella, Michele Colombo, Valter Mariani Primiani, Franco Moglie, Davide Micheli
2024 J jnl
Experimental Investigation of 5G Base Station functionalities in Reverberation Chamber at Millimeter-Wave.
CoRR
Michele Colombo, Riccardo Diamanti, Luca Bastianelli, Gabriele Gradoni, Emanuel Colella, Valter Mariani Primiani, Franco Moglie, Davide Micheli
2023 J jnl
Experimental Investigation of 5G Base Station Functionalities in Reverberation Chamber at Millimeter-Wave.
IEEE Access
Michele Colombo, Riccardo Diamanti, Luca Bastianelli, Gabriele Gradoni, Emanuel Colella, Valter Mariani Primiani, Franco Moglie, Davide Micheli
2023 J jnl
Extracting a functional representation from a dictionary for non-rigid shape matching.
Comput. Graph.
Michele Colombo, Giacomo Boracchi, Simone Melzi
2023 J jnl
Extracting a functional representation from a dictionary for non-rigid shape matching.
CoRR
Michele Colombo, Giacomo Boracchi, Simone Melzi
2022 — conf
PC-GAU: PCA Basis of Scattered Gaussians for Shape Matching via Functional Maps.
STAG
Michele Colombo, Giacomo Boracchi, Simone Melzi
2021 J jnl
Development of digitally obtainable 10-year risk scores for depression and anxiety in the general population.
CoRR
Davide Morelli, N. Dolezalova, S. Ponzo, Michele Colombo, David Plans
2018 J jnl
Randomized neural networks for preference learning with physiological data.
Neurocomputing
Davide Bacciu, Michele Colombo, Davide Morelli, David Plans
2017 B conf
ELM Preference Learning for Physiological Data.
ESANN
Davide Bacciu, Michele Colombo, Davide Morelli, David Plans
2016 — conf
Approximate Inference in Related Multi-output Gaussian Process Regression.
ICPRAM (Revised Selected Papers)
Ankit Chiplunkar, Emmanuel Rachelson, Michele Colombo, Joseph Morlier
2016 C conf
Sparse Physics-based Gaussian Process for Multi-output Regression using Variational Inference.
ICPRAM
Ankit Chiplunkar, Emmanuel Rachelson, Michele Colombo, Joseph Morlier