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Davide Ferrari
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2020 – today
- 2025
- [j16]Davide Ferrari, Ilya Peshkov, Evgeniy I. Romenski, Michael Dumbser:
A unified HTC multiphase model of continuum mechanics. J. Comput. Phys. 521: 113553 (2025) - 2024
- [j15]Marcello Caleffi, Michele Amoretti, Davide Ferrari, Jessica Illiano, Antonio Manzalini, Angela Sara Cacciapuoti:
Distributed quantum computing: A survey. Comput. Networks 254: 110672 (2024) - [j14]Emily S. Hope, Colin McFayden, Mark C. de Jong, Morgan A. Crowley, Joshua M. Johnston, Diane K. Davies, Otmar Olsina, Jennifer Hewson, Jesús San-Miguel-Ayanz, Davide Ferrari, Meghan Sloane:
Exploring the use of satellite Earth observation active wildland fire hotspot data via open access web platforms. Int. J. Digit. Earth 17(1) (2024) - [j13]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): 1009-1024 (2024) - [c16]Amedeo Bertuzzi, Davide Ferrari, Antonio Manzalini, Michele Amoretti:
Evaluation of Quantum and Hybrid Solvers for Combinatorial Optimization. CF 2024 - [c15]Marco Mordacci, Davide Ferrari, Michele Amoretti:
Multi-Class Quantum Convolutional Neural Networks. QUASAR@HPDC 2024: 9-16 - [i16]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 abs/2402.01700 (2024) - [i15]Amedeo Bertuzzi, Davide Ferrari, Antonio Manzalini, Michele Amoretti:
Evaluation of Quantum and Hybrid Solvers for Combinatorial Optimization. CoRR abs/2403.10455 (2024) - [i14]Davide Ferrari, Ilya Peshkov, Evgeniy I. Romenski, Michael Dumbser:
A unified SHTC multiphase model of continuum mechanics. CoRR abs/2403.19298 (2024) - [i13]Marco Mordacci, Davide Ferrari, Michele Amoretti:
Multi-Class Quantum Convolutional Neural Networks. CoRR abs/2404.12741 (2024) - [i12]Davide Ferrari, Cristian Secchi:
The Critical Role of Effective Communication in Human-Robot Collaborative Assembly. CoRR abs/2409.07145 (2024) - [i11]Davide Ferrari, Andrea Pupa, Cristian Secchi:
Compliant Blind Handover Control for Human-Robot Collaboration. CoRR abs/2409.07155 (2024) - [i10]Davide Ferrari, Andrea Pupa, Cristian Secchi:
Collaborative Conversation in Safe Multimodal Human-Robot Collaboration. CoRR abs/2409.07158 (2024) - 2023
- [c14]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: 1-10 - [c13]Davide Ferrari, Andrea Pupa, Alberto Signoretti, Cristian Secchi:
Safe Multimodal Communication in Human-Robot Collaboration. HFR 2023: 151-163 - [i9]Davide Ferrari, Andrea Pupa, Alberto Signoretti, Cristian Secchi:
Safe Multimodal Communication in Human-Robot Collaboration. CoRR abs/2308.03690 (2023) - [i8]Davide Ferrari, Filippo Alberi, Cristian Secchi:
Facilitating Human-Robot Collaboration through Natural Vocal Conversations. CoRR abs/2311.13973 (2023) - 2022
- [j12]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) - [j11]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): 5463 (2022) - [c12]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 - [c11]Davide Ferrari, Michele Amoretti:
Noise-adaptive quantum compilation strategies evaluated with application-motivated benchmarks. CF 2022: 237-243 - [c10]Davide Ferrari, Veronica Guidetti, Federica Mandreoli:
Multi-Objective Symbolic Regression for Data-Driven Scoring System Management. ICDM 2022: 945-950 - [c9]Davide Ferrari, Federico Benzi, Cristian Secchi:
Bidirectional Communication Control for Human-Robot Collaboration. ICRA 2022: 7430-7436 - [c8]Davide Ferrari, Federica Mandreoli, Federico Motta, Paolo Missier:
Data-Driven, AI-Based Clinical Practice: Experiences, Challenges, and Research Directions. SEBD 2022: 392-403 - [c7]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: 114-123 - [i7]Michele Amoretti, Davide Ferrari, Antonio Manzalini:
Classical and Quantum Solvers for Joint Network/Servers Power Optimization. CoRR abs/2205.01165 (2022) - [i6]Davide Ferrari, Federico Benzi, Cristian Secchi:
Bidirectional Communication Control for Human-Robot Collaboration. CoRR abs/2206.05202 (2022) - [i5]Marcello Caleffi, Michele Amoretti, Davide Ferrari, Daniele Cuomo, Jessica Illiano, Antonio Manzalini, Angela Sara Cacciapuoti:
Distributed Quantum Computing: a Survey. CoRR abs/2212.10609 (2022) - 2021
- [j10]Davide Ferrari, Ivano Tavernelli, Michele Amoretti:
Deterministic algorithms for compiling quantum circuits with recurrent patterns. Quantum Inf. Process. 20(6): 213 (2021) - [i4]Davide Ferrari, Ivano Tavernelli, Michele Amoretti:
Deterministic Algorithms for Compiling Quantum Circuits with Recurrent Patterns. CoRR abs/2102.08765 (2021) - [i3]Davide Ferrari, Michele Amoretti:
Noise-Adaptive Quantum Compilation Strategies Evaluated with Application-Motivated Benchmarks. CoRR abs/2108.11874 (2021) - 2020
- [j9]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): 135 (2020) - [c6]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: 32-38 - [c5]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 - [i2]Davide Ferrari, Angela Sara Cacciapuoti, Michele Amoretti, Marcello Caleffi:
Compiler Design for Distributed Quantum Computing. CoRR abs/2012.09680 (2020)
2010 – 2019
- 2019
- [j8]Abd-Krim Seghouane, Davide Ferrari:
Robust Hemodynamic Response Function Estimation From fNIRS Signals. IEEE Trans. Signal Process. 67(7): 1838-1848 (2019) - 2018
- [i1]Davide Ferrari, Michele Amoretti:
Demonstration of Envariance and Parity Learning on the IBM 16 Qubit Processor. CoRR abs/1801.02363 (2018) - 2017
- [j7]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: 37-49 (2017) - 2016
- [j6]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: 4037380:1-4037380:13 (2016) - [j5]Margherita Giuzio, Davide Ferrari, Sandra Paterlini:
Sparse and robust normal and t- portfolios by penalized Lq-likelihood minimization. Eur. J. Oper. Res. 250(1): 251-261 (2016) - [j4]Sonia Bergamaschi, Davide Ferrari, Francesco Guerra, Giovanni Simonini, Yannis Velegrakis:
Providing Insight into Data Source Topics. J. Data Semant. 5(4): 211-228 (2016) - [j3]Davide Ferrari, Chao Zheng:
Reliable inference for complex models by discriminative composite likelihood estimation. J. Multivar. Anal. 144: 68-80 (2016) - 2015
- [j2]Davide La Vecchia, Lorenzo Camponovo, Davide Ferrari:
Robust heart rate variability analysis by generalized entropy minimization. Comput. Stat. Data Anal. 82: 137-151 (2015) - 2014
- [j1]Davide Ferrari, Matteo Borrotti, Davide De March:
Response improvement in complex experiments by co-information composite likelihood optimization. Stat. Comput. 24(3): 351-363 (2014) - [c4]Davide Ferrari, Hermes Giberti:
A genetic algorithm approach to the kinematic synthesis of a 6-DoF parallel manipulator. CCA 2014: 222-227 - [c3]Simone Cinquemani, Davide Ferrari:
A genetic algorithm optimization for IMSC technique. CCA 2014: 1942-1947 - [c2]Michele Lalla, Davide Ferrari, Tommaso Pirotti:
Fuzzy Inference System to Analyze Ordinal Variables - The Case of Evaluating Teaching Activity. IJCCI (FCTA) 2014: 25-36 - [c1]Sonia Bergamaschi, Davide Ferrari, Francesco Guerra, Giovanni Simonini:
Discovering the Topics of a Data Source: a Statistical Approach. SDSW@ISWC 2014
Coauthor Index
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last updated on 2024-12-10 21:46 CET by the dblp team
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