491 citations
- University of Modena and Reggio EmiliaIT20 papers
- Imperial College LondonGB4 papers
- Istituto Nazionale di Fisica Nucleare, Galileo Galilei Institute for Theoretical PhysicsIT3 papers
- Istituto Nazionale di Ricerca MetrologicaIT3 papers
- Politecnico di TorinoIT3 papers
- University of BolognaIT3 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Karlsruhe Institute of TechnologyDE2 papers
- Mehran University of Engineering and TechnologyPK2 papers
- Politecnico di MilanoIT2 papers
- RWTH Aachen UniversityDE2 papers
- Université Grenoble AlpesFR2 papers
32 papers
Handling Missing Modalities in Multimodal Survival Prediction for Non-Small Cell Lung Cancer
Filippo Ruffini, Camillo Maria Caruso, Claudia Tacconi +16
Accurate survival prediction in Non-Small Cell Lung Cancer (NSCLC) requires integrating clinical, radiological, and histopathological data. Multimodal Deep Learning (MDL) can impro…
On the Analysis of Stability, Sensitivity and Transparency in Variable Admittance Control for pHRI Enhanced by Virtual Fixtures
Davide Tebaldi, Dario Onfiani, Luigi Biagiotti
The interest in Physical Human-Robot Interaction (pHRI) has significantly increased over the last two decades thanks to the availability of collaborative robots that guarantee user…
Residues in Partial Fraction Decomposition Applied to Pole Sensitivity Analysis and Root Locus Construction
Davide Tebaldi, Roberto Zanasi
The applications of the partial fraction decomposition in control and systems engineering are several. In this letter, we propose a new interpretation of residues in the partial fr…
The Power-Oriented Graphs Modeling Technique: From the Fundamental Principles to the Systematic, Step-by-Step Modeling of Complex Physical Systems
Davide Tebaldi, Roberto Zanasi
Modeling physical systems is an essential skill for a control engineer, since it enables to achieve a deep understanding of their dynamic behavior and, consequently, the developmen…
Blind Super-Resolution via Meta-learning and Markov Chain Monte Carlo Simulation
Jingyuan Xia, Zhixiong Yang, Shengxi Li +4
Learning-based approaches have witnessed great successes in blind single image super-resolution (SISR) tasks, however, handcrafted kernel priors and learning based kernel priors ar…
Model-Based Adaptive Control of Modular Multilevel Converters
Davide Tebaldi, Roberto Zanasi
Electrical power conversions are common in a large variety of engineering applications. With reference to AC/DC and DC/AC power conversions, a strong research interest resides in m…