Davide Ferrari

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 35

Top Topics

Response Function

Clinical Practice

Quantum Computing

Top Venues

Comput. Stat. Data Anal.

Publications

Marco Mordacci, Davide Ferrari, Michele Amoretti
Multi-Class Quantum Convolutional Neural Networks. CoRR (2024)
Gregory Kell, Angus Roberts, Serge Umansky, Linglong Qian, Davide Ferrari, Frank Soboczenski, Byron C. Wallace, Nikhil Patel, Iain James Marshall
Question answering systems for health professionals at the point of care - a systematic review. J. Am. Medical Informatics Assoc. 31 (4) (2024)
Gregory Kell, Angus Roberts, Serge Umansky, Linglong Qian, Davide Ferrari, Frank Soboczenski, Byron C. Wallace, Nikhil Patel, Iain James Marshall
Question answering systems for health professionals at the point of care - a systematic review. CoRR (2024)
Amedeo Bertuzzi, Davide Ferrari, Antonio Manzalini, Michele Amoretti
Evaluation of Quantum and Hybrid Solvers for Combinatorial Optimization. CoRR (2024)
Amedeo Bertuzzi, Davide Ferrari, Antonio Manzalini, Michele Amoretti
Evaluation of Quantum and Hybrid Solvers for Combinatorial Optimization. CF (2024)
Davide Ferrari, Ilya Peshkov, Evgeniy I. Romenski, Michael Dumbser
A unified SHTC multiphase model of continuum mechanics. CoRR (2024)
Veronica Guidetti, Giovanni Dolci, Erica Franceschini, Erica Bacca, Giulia Jole Burastero, Davide Ferrari, Valentina Serra, Fabrizio Di Benedetto, Cristina Mussini, Federica Mandreoli
Death After Liver Transplantation: Mining Interpretable Risk Factors for Survival Prediction. DSAA (2023)
Davide Ferrari, Andrea Pupa, Alberto Signoretti, Cristian Secchi
Safe Multimodal Communication in Human-Robot Collaboration. HFR (2023)
Davide Ferrari, Andrea Pupa, Alberto Signoretti, Cristian Secchi
Safe Multimodal Communication in Human-Robot Collaboration. CoRR (2023)
Davide Ferrari, Filippo Alberi, Cristian Secchi
Facilitating Human-Robot Collaboration through Natural Vocal Conversations. CoRR (2023)
Davide Ferrari, Michele Amoretti
Noise-adaptive quantum compilation strategies evaluated with application-motivated benchmarks. CF (2022)
Davide Ferrari, Veronica Guidetti, Federica Mandreoli
Multi-Objective Symbolic Regression for Data-Driven Scoring System Management. ICDM (2022)
Michele Amoretti, Davide Ferrari, Antonio Manzalini
Classical and Quantum Solvers for Joint Network/Servers Power Optimization. CoRR (2022)
Davide Ferrari, Federico Benzi, Cristian Secchi
Bidirectional Communication Control for Human-Robot Collaboration. CoRR (2022)
Simone Fortunati, Marco Giannetto, Chiara Giliberti, Angelo Bolchi, Davide Ferrari, Massimo Locatelli, Valentina Bianchi, Andrea Boni, Ilaria De Munari, Maria Careri
Smart Immunosensors for Point-of-Care Serological Tests Aimed at Assessing Natural or Vaccine-Induced SARS-CoV-2 Immunity. Sensors 22 (14) (2022)
Federica Mandreoli, Davide Ferrari, Veronica Guidetti, Federico Motta, Paolo Missier
Real-world data mining meets clinical practice: Research challenges and perspective. Frontiers Big Data 5 (2022)
Marcello Caleffi, Michele Amoretti, Davide Ferrari, Daniele Cuomo, Jessica Illiano, Antonio Manzalini, Angela Sara Cacciapuoti
Distributed Quantum Computing: a Survey. CoRR (2022)
Davide Ferrari, Federico Benzi, Cristian Secchi
Bidirectional Communication Control for Human-Robot Collaboration. ICRA (2022)
Davide Ferrari, Federica Mandreoli, Federico Motta, Paolo Missier
Data-Driven, AI-Based Clinical Practice: Experiences, Challenges, and Research Directions. SEBD (2022)
Davide Ferrari, Veronica Guidetti, Vasa Curcin, Yanzhong Wang
Multi-objective Symbolic Regression to Generate Data-driven, Non-fixed Structure and Intelligible Mortality Predictors using EHR: Binary Classification Methodology and Comparison with State-of-the-art. AMIA (2022)
Michele Amoretti, Alexandru Budianu, Gianluca Caparra, Felice D'Agruma, Davide Ferrari, Gabriele Penzotti, Luca Veltri, Francesco Zanichelli
Enabling Location Based Services with Privacy and Integrity Protection in Untrusted Environments through Blockchain and Secure Computation. TPS-ISA (2022)
Davide Ferrari, Michele Amoretti
Noise-Adaptive Quantum Compilation Strategies Evaluated with Application-Motivated Benchmarks. CoRR (2021)
Davide Ferrari, Ivano Tavernelli, Michele Amoretti
Deterministic algorithms for compiling quantum circuits with recurrent patterns. Quantum Inf. Process. 20 (6) (2021)
Davide Ferrari, Ivano Tavernelli, Michele Amoretti
Deterministic Algorithms for Compiling Quantum Circuits with Recurrent Patterns. CoRR (2021)
Davide Ferrari, Federica Mandreoli, Giovanni Guaraldi, Jovana Milic, Paolo Missier
Predicting Respiratory Failure in Patients with COVID-19 pneumonia: a case study from Northern Italy. AAI4H@ECAI (2020)
Davide Ferrari, Giovanni Guaraldi, Federica Mandreoli, Riccardo Martoglia, Jovana Milic, Paolo Missier
Data-driven vs knowledge-driven inference of health outcomes in the ageing population: a case study. EDBT/ICDT Workshops (2020)
Davide Ferrari, Angela Sara Cacciapuoti, Michele Amoretti, Marcello Caleffi
Compiler Design for Distributed Quantum Computing. CoRR (2020)
Davide Brinati, Andrea Campagner, Davide Ferrari, Massimo Locatelli, Giuseppe Banfi, Federico Cabitza
Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility Study. J. Medical Syst. 44 (8) (2020)
Abd-Krim Seghouane, Davide Ferrari
Robust Hemodynamic Response Function Estimation From fNIRS Signals. IEEE Trans. Signal Process. 67 (7) (2019)
Davide Ferrari, Michele Amoretti
Demonstration of Envariance and Parity Learning on the IBM 16 Qubit Processor. CoRR (2018)
Zhendong Huang, Davide Ferrari, Guoqi Q. Qian
Parsimonious and powerful composite likelihood testing for group difference and genotype-phenotype association. Comput. Stat. Data Anal. 110 (2017)
Margherita Giuzio, Davide Ferrari, Sandra Paterlini
Sparse and robust normal and t- portfolios by penalized Lq-likelihood minimization. Eur. J. Oper. Res. 250 (1) (2016)
Davide Ferrari, Chao Zheng
Reliable inference for complex models by discriminative composite likelihood estimation. J. Multivar. Anal. 144 (2016)
Guoqi Q. Qian, Yuehua Wu, Davide Ferrari, Puxue Qiao, Frédéric Hollande
Semisupervised Clustering by Iterative Partition and Regression with Neuroscience Applications. Comput. Intell. Neurosci. 2016 (2016)
Sonia Bergamaschi, Davide Ferrari, Francesco Guerra, Giovanni Simonini, Yannis Velegrakis
Providing Insight into Data Source Topics. J. Data Semant. 5 (4) (2016)
Davide La Vecchia, Lorenzo Camponovo, Davide Ferrari
Robust heart rate variability analysis by generalized entropy minimization. Comput. Stat. Data Anal. 82 (2015)
Michele Lalla, Davide Ferrari, Tommaso Pirotti
Fuzzy Inference System to Analyze Ordinal Variables - The Case of Evaluating Teaching Activity. IJCCI (FCTA) (2014)
Sonia Bergamaschi, Davide Ferrari, Francesco Guerra, Giovanni Simonini
Discovering the Topics of a Data Source: a Statistical Approach. SDSW@ISWC (2014)
Davide Ferrari, Hermes Giberti
A genetic algorithm approach to the kinematic synthesis of a 6-DoF parallel manipulator. CCA (2014)
Simone Cinquemani, Davide Ferrari
A genetic algorithm optimization for IMSC technique. CCA (2014)
Davide Ferrari, Matteo Borrotti, Davide De March
Response improvement in complex experiments by co-information composite likelihood optimization. Stat. Comput. 24 (3) (2014)