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ORCIDFrancesca Chiaromonte
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- affiliation: Penn State, University Park, USA
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2020 – today
- 2024
[j12]Roberto Casaluce
, Andrea Burattin, Francesca Chiaromonte, Alberto Lluch-Lafuente, Andrea Vandin:
White-box validation of quantitative product lines by statistical model checking and process mining. J. Syst. Softw. 210: 111983 (2024)- [c9]Roberto Casaluce, Andrea Burratin, Francesca Chiaromonte, Alberto Lluch-Lafuente, Andrea Vandin:
Enhancing Threat Model Validation: A White-Box Approach based on Statistical Model Checking and Process Mining. DAMOCLES@AVI 2024: 9-20 - [c8]Luca Carmisciano, Tobia Boschi, Francesca Chiaromonte, Franca Delmastro, Andrea Vandin:
Investigating Functional Data Analysis for Wearable Physiological Sensor Data in Stress Evaluation. ISCC 2024: 1-6 - [i12]Roberto Casaluce, Andrea Burattin, Francesca Chiaromonte, Alberto Lluch-Lafuente, Andrea Vandin:
White-box validation of quantitative product lines by statistical model checking and process mining. CoRR abs/2401.13019 (2024) - [i11]Simone Tonini, Andrea Vandin, Francesca Chiaromonte, Daniele Licari, Fernando Barsacchi:
Accurate and fast anomaly detection in industrial processes and IoT environments. CoRR abs/2404.17925 (2024) - 2023
- [j11]Marzia A. Cremona, Francesca Chiaromonte:
Probabilistic K -means with Local Alignment for Clustering and Motif Discovery in Functional Data. J. Comput. Graph. Stat. 32(3): 1119-1130 (2023) - [c7]Simone Tonini, Fernando Barsacchi, Francesca Chiaromonte, Daniele Licari, Andrea Vandin:
Towards Novel Statistical Methods for Anomaly Detection in Industrial Processes. ICPE (Companion) 2023: 147-153 - 2022
- [j10]Christian Esposito, Marco Gortan, Lorenzo Testa, Francesca Chiaromonte, Giorgio Fagiolo, Andrea Mina, Giulio Rossetti:
Venture capital investments through the lens of network and functional data analysis. Appl. Netw. Sci. 7(1): 42 (2022) - [c6]Roberto Casaluce, Andrea Burattin, Francesca Chiaromonte, Andrea Vandin:
Process Mining Meets Statistical Model Checking: Towards a Novel Approach to Model Validation and Enhancement. Business Process Management Workshops 2022: 243-256 - [i10]Christian Esposito, Marco Gortan, Lorenzo Testa, Francesca Chiaromonte, Giorgio Fagiolo, Andrea Mina, Giulio Rossetti:
Venture capital investments through the lens of network and functional data analysis. CoRR abs/2202.12859 (2022) - 2021
- [j9]Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandè, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Paolo Ferragina, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, Kimmo Kaski, János Kertész, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Stan Matwin, David Megías Jiménez, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Fabio Pianesi, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Vicenç Torra, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani:
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Ethics Inf. Technol. 23(S1): 1-6 (2021) - [j8]Ana Kenney, Francesca Chiaromonte, Giovanni Felici:
MIP-BOOST: Efficient and Effective L0 Feature Selection for Linear Regression. J. Comput. Graph. Stat. 30(3): 566-577 (2021) - [c5]Christian Esposito, Marco Gortan, Lorenzo Testa, Francesca Chiaromonte, Giorgio Fagiolo, Andrea Mina, Giulio Rossetti:
Can You Always Reap What You Sow? Network and Functional Data Analysis of Venture Capital Investments in Health-Tech Companies. COMPLEX NETWORKS 2021: 744-755 - [c4]Andrea Vandin, Daniele Giachini, Francesco Lamperti, Francesca Chiaromonte:
MultiVeStA: Statistical Analysis of Economic Agent-Based Models by Statistical Model Checking. DataMod 2021: 3-6 - [c3]Tobia Boschi, Matthew Reimherr, Francesca Chiaromonte:
A Highly-Efficient Group Elastic Net Algorithm with an Application to Function-On-Scalar Regression. NeurIPS 2021: 9264-9277 - [i9]Andrea Vandin, Daniele Giachini, Francesco Lamperti, Francesca Chiaromonte:
Automated and Distributed Statistical Analysis of Economic Agent-Based Models. CoRR abs/2102.05405 (2021) - [i8]Vincent Pisztora, Yanglan Ou, Xiaolei Huang, Francesca Chiaromonte, Jia Li:
Epsilon Consistent Mixup: An Adaptive Consistency-Interpolation Tradeoff. CoRR abs/2104.09452 (2021) - [i7]Christian Esposito, Marco Gortan, Lorenzo Testa, Francesca Chiaromonte, Giorgio Fagiolo, Andrea Mina, Giulio Rossetti:
Can you always reap what you sow? Network and functional data analysis of VC investments in health-tech companies. CoRR abs/2111.06371 (2021) - 2020
- [j7]Jacopo Di Iorio, Francesca Chiaromonte, Marzia A. Cremona:
On the bias of H-scores for comparing biclusters, and how to correct it. Bioinform. 36(9): 2955-2957 (2020) - [j6]Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandè, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Paolo Ferragina, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, Kimmo Kaski, János Kertész, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Stan Matwin, David Megías, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Fabio Pianesi, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Vicenç Torra, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani:
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Trans. Data Priv. 13(1): 61-66 (2020) - [i6]Giorgio Tripodi, Francesca Chiaromonte, Fabrizio Lillo:
Knowledge and Social Relatedness Shape Research Portfolio Diversification. CoRR abs/2002.06419 (2020) - [i5]Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandè, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, János Kertész, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani:
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. CoRR abs/2004.05222 (2020) - [i4]Paolo Cintia, Daniele Fadda, Fosca Giannotti, Luca Pappalardo, Giulio Rossetti, Dino Pedreschi, Salvo Rinzivillo, Pietro Bonato, Francesco Fabbri, Francesco Penone, Marcello Savarese, Daniele Checchi, Francesca Chiaromonte, Paolo Vineis, Giorgio Guzzetta, Flavia Riccardo, Valentina Marziano, Piero Poletti, Filippo Trentini, Antonino Bella, Xanthi Andrianou, Martina Del Manso, Massimo Fabiani, Stefania Bellino, Stefano Boros, Alberto Mateo Urdiales, Maria Fenicia Vescio, Silvio Brusaferro, Giovanni Rezza, Patrizio Pezzotti, Marco Ajelli, Stefano Merler:
The relationship between human mobility and viral transmissibility during the COVID-19 epidemics in Italy. CoRR abs/2006.03141 (2020) - [i3]Tobia Boschi, Matthew Reimherr, Francesca Chiaromonte:
An Efficient Semi-smooth Newton Augmented Lagrangian Method for Elastic Net. CoRR abs/2006.03970 (2020)
2010 – 2019
- 2019
- [j5]Marzia A. Cremona, Hongyan Xu, Kateryna D. Makova, Matthew Reimherr, Francesca Chiaromonte, Pedro Madrigal:
Functional data analysis for computational biology. Bioinform. 35(17): 3211-3213 (2019) - [i2]Jacopo Di Iorio, Francesca Chiaromonte, Marzia A. Cremona:
On the bias of H-scores for comparing biclusters, and how to correct it. CoRR abs/1907.11142 (2019) - 2018
- [j4]Marzia A. Cremona, Alessia Pini, Fabio Cumbo, Kateryna D. Makova, Francesca Chiaromonte, Simone Vantini:
IWTomics: testing high-resolution sequence-based 'Omics' data at multiple locations and scales. Bioinform. 34(13): 2289-2291 (2018) - 2016
- [j3]Rebeca Campos-Sánchez, Marzia A. Cremona, Alessia Pini, Francesca Chiaromonte, Kateryna D. Makova:
Integration and Fixation Preferences of Human and Mouse Endogenous Retroviruses Uncovered with Functional Data Analysis. PLoS Comput. Biol. 12(6) (2016) - 2015
- [j2]Yang Liu, Francesca Chiaromonte, Howard Ross, Raunaq Malhotra, Daniel Elleder, Mary Poss:
Error correction and statistical analyses for intra-host comparisons of feline immunodeficiency virus diversity from high-throughput sequencing data. BMC Bioinform. 16: 202:1-202:14 (2015) - 2014
- [i1]Bing Li, Hongyuan Zha, Francesca Chiaromonte:
Linear Contour Learning: A Method for Supervised Dimension Reduction. CoRR abs/1408.3359 (2014)
2000 – 2009
- 2007
- [j1]Erika M. Kvikstad, Svitlana Tyekucheva, Francesca Chiaromonte, Kateryna D. Makova:
A Macaque's-Eye View of Human Insertions and Deletions: Differences in Mechanisms. PLoS Comput. Biol. 3(9) (2007) - 2004
- [c2]Bing Li, Hongyuan Zha, Francesca Chiaromonte:
Linear Contour Learning: A Method for Supervised Dimension Reduction. UAI 2004: 346-356 - 2002
- [c1]Francesca Chiaromonte, V. B. Yap, W. Miller:
Scoring Pairwise Genomic Sequence Alignments. Pacific Symposium on Biocomputing 2002: 115-126
Coauthor Index
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