A selection of recent scientific publications from the research groups of the laboratory
2024
Podda, Marco; Bonechi, Simone; Palladino, Andrea; Scaramuzzino, Mattia; Brozzi, Alessandro; Roma, Guglielmo; Muzzi, Alessandro; Priami, Corrado; Sîrbu, Alina; Bodini, Margherita
Classification of Neisseria meningitidis genomes with a bag-of-words approach and machine learning Journal Article
In: iScience, 2024.
@article{podda2024classification,
title = {Classification of Neisseria meningitidis genomes with a bag-of-words approach and machine learning},
author = {Marco Podda and Simone Bonechi and Andrea Palladino and Mattia Scaramuzzino and Alessandro Brozzi and Guglielmo Roma and Alessandro Muzzi and Corrado Priami and Alina Sîrbu and Margherita Bodini},
url = {https://www.cell.com/iscience/pdf/S2589-0042(24)00478-4.pdf},
year = {2024},
date = {2024-02-16},
journal = {iScience},
publisher = {Elsevier},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Pingitore, Alessandro; Zhang, Chenxiang; Vassalle, Cristina; Ferragina, Paolo; Landi, Patrizia; Mastorci, Francesca; Sicari, Rosa; Tommasi, Alessandro; Zavattari, Cesare; Prencipe, Giuseppe; others,
Machine learning to identify a composite indicator to predict cardiac death in ischemic heart disease Journal Article
In: International Journal of Cardiology, vol. 404, pp. 131981, 2024.
@article{pingitore2024machine,
title = {Machine learning to identify a composite indicator to predict cardiac death in ischemic heart disease},
author = {Alessandro Pingitore and Chenxiang Zhang and Cristina Vassalle and Paolo Ferragina and Patrizia Landi and Francesca Mastorci and Rosa Sicari and Alessandro Tommasi and Cesare Zavattari and Giuseppe Prencipe and others},
url = {https://www.sciencedirect.com/science/article/pii/S016752732400531X},
year = {2024},
date = {2024-01-01},
urldate = {2024-01-01},
journal = {International Journal of Cardiology},
volume = {404},
pages = {131981},
publisher = {Elsevier},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Cignoni, Giacomo; Scatena, Cristian; Frascarelli, Chiara; Fusco, Nicola; Naccarato, Antonio Giuseppe; Fanelli, Giuseppe Nicoló; Sîrbu, Alina
PD-L1 Classification of Weakly-Labeled Whole Slide Images of Breast Cancer Journal Article
In: arXiv preprint arXiv:2404.10175, 2024.
@article{cignoni2024pd,
title = {PD-L1 Classification of Weakly-Labeled Whole Slide Images of Breast Cancer},
author = {Giacomo Cignoni and Cristian Scatena and Chiara Frascarelli and Nicola Fusco and Antonio Giuseppe Naccarato and Giuseppe Nicoló Fanelli and Alina Sîrbu},
url = {https://arxiv.org/abs/2404.10175},
year = {2024},
date = {2024-01-01},
urldate = {2024-01-01},
journal = {arXiv preprint arXiv:2404.10175},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2023
Pernice, Simone; Maglione, Alessandro; Tortarolo, Dora; Sirovich, Roberta; Clerico, Marinella; Rolla, Simona; Beccuti, Marco; Cordero, Francesca
A new computational workflow to guide personalized drug therapy Journal Article
In: Journal of Biomedical Informatics, vol. 148, pp. 104546, 2023, ISSN: 1532-0464.
@article{PERNICE2023104546,
title = {A new computational workflow to guide personalized drug therapy},
author = {Simone Pernice and Alessandro Maglione and Dora Tortarolo and Roberta Sirovich and Marinella Clerico and Simona Rolla and Marco Beccuti and Francesca Cordero},
url = {https://www.sciencedirect.com/science/article/pii/S1532046423002678},
doi = {https://doi.org/10.1016/j.jbi.2023.104546},
issn = {1532-0464},
year = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
journal = {Journal of Biomedical Informatics},
volume = {148},
pages = {104546},
abstract = {Objective:
Computational models are at the forefront of the pursuit of personalized medicine thanks to their descriptive and predictive abilities. In the presence of complex and heterogeneous data, patient stratification is a prerequisite for effective precision medicine, since disease development is often driven by individual variability and unpredictable environmental events. Herein, we present GreatNectorworkflow as a valuable tool for (i) the analysis and clustering of patient-derived longitudinal data, and (ii) the simulation of the resulting model of patient-specific disease dynamics.
Methods:
GreatNectoris designed by combining an analytic strategy composed of CONNECTOR, a data-driven framework for the inspection of longitudinal data, and an unsupervised methodology to stratify the subjects with GreatMod, a quantitative modeling framework based on the Petri Net formalism and its generalizations.
Results:
To illustrate GreatNectorcapabilities, we exploited longitudinal data of four immune cell populations collected from Multiple Sclerosis patients. Our main results report that the T-cell dynamics after alemtuzumab treatment separate non-responders versus responders patients, and the patients in the non-responders group are characterized by an increase of the Th17 concentration around 36 months.
Conclusion:
GreatNectoranalysis was able to stratify individual patients into three model meta-patients whose dynamics suggested insight into patient-tailored interventions.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Computational models are at the forefront of the pursuit of personalized medicine thanks to their descriptive and predictive abilities. In the presence of complex and heterogeneous data, patient stratification is a prerequisite for effective precision medicine, since disease development is often driven by individual variability and unpredictable environmental events. Herein, we present GreatNectorworkflow as a valuable tool for (i) the analysis and clustering of patient-derived longitudinal data, and (ii) the simulation of the resulting model of patient-specific disease dynamics.
Methods:
GreatNectoris designed by combining an analytic strategy composed of CONNECTOR, a data-driven framework for the inspection of longitudinal data, and an unsupervised methodology to stratify the subjects with GreatMod, a quantitative modeling framework based on the Petri Net formalism and its generalizations.
Results:
To illustrate GreatNectorcapabilities, we exploited longitudinal data of four immune cell populations collected from Multiple Sclerosis patients. Our main results report that the T-cell dynamics after alemtuzumab treatment separate non-responders versus responders patients, and the patients in the non-responders group are characterized by an increase of the Th17 concentration around 36 months.
Conclusion:
GreatNectoranalysis was able to stratify individual patients into three model meta-patients whose dynamics suggested insight into patient-tailored interventions.
Testa, Irene; Prencipe, Giuseppe; Priami, Corrado; Sîrbu, Alina
Comparison of Machine Learning Classifiers on Integrated Transcriptomic Data Proceedings Article
In: 2023 IEEE International Conference on Big Data (BigData), pp. 4987–4996, IEEE 2023.
@inproceedings{testa2023comparison,
title = {Comparison of Machine Learning Classifiers on Integrated Transcriptomic Data},
author = {Irene Testa and Giuseppe Prencipe and Corrado Priami and Alina Sîrbu},
url = {https://ieeexplore.ieee.org/abstract/document/10386445},
year = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
booktitle = {2023 IEEE International Conference on Big Data (BigData)},
pages = {4987–4996},
organization = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
2021
Sîrbu, Alina; Barbieri, Greta; Faita, Francesco; Ferragina, Paolo; Gargani, Luna; Ghiadoni, Lorenzo; Priami, Corrado
Early outcome detection for COVID-19 patients Journal Article
In: Scientific Reports, vol. 11, no. 1, pp. 18464, 2021.
@article{sirbu2021early,
title = {Early outcome detection for COVID-19 patients},
author = {Alina Sîrbu and Greta Barbieri and Francesco Faita and Paolo Ferragina and Luna Gargani and Lorenzo Ghiadoni and Corrado Priami},
url = {https://www.nature.com/articles/s41598-021-97990-1},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
journal = {Scientific Reports},
volume = {11},
number = {1},
pages = {18464},
publisher = {Nature Publishing Group UK London},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2020
Prezza, Nicola; Pisanti, Nadia; Sciortino, Marinella; Rosone, Giovanna
Variable-order reference-free variant discovery with the Burrows-Wheeler Transform Journal Article
In: BMC Bioinformatics, vol. 21, no. S8, 2020.
@article{Prezza2020,
title = {Variable-order reference-free variant discovery with the Burrows-Wheeler Transform},
author = {Nicola Prezza and Nadia Pisanti and Marinella Sciortino and Giovanna Rosone},
doi = {10.1186/s12859-020-03586-3},
year = {2020},
date = {2020-09-01},
journal = {BMC Bioinformatics},
volume = {21},
number = {S8},
publisher = {Springer Science and Business Media LLC},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Guerrini, Veronica; Louza, Felipe A; Rosone, Giovanna
Metagenomic analysis through the extended Burrows-Wheeler transform Journal Article
In: BMC Bioinformatics, vol. 21, no. S8, 2020.
@article{Guerrini2020,
title = {Metagenomic analysis through the extended Burrows-Wheeler transform},
author = {Veronica Guerrini and Felipe A Louza and Giovanna Rosone},
doi = {10.1186/s12859-020-03628-w},
year = {2020},
date = {2020-09-01},
journal = {BMC Bioinformatics},
volume = {21},
number = {S8},
publisher = {Springer Science and Business Media LLC},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Kocian, Alexander; Carmassi, Giulia; Cela, Fatjon; Incrocci, Luca; Milazzo, Paolo; Chessa, Stefano
Bayesian Sigmoid-Type Time Series Forecasting with Missing Data for Greenhouse Crops Journal Article
In: Sensors, vol. 20, no. 11, pp. 3246, 2020.
@article{Kocian2020b,
title = {Bayesian Sigmoid-Type Time Series Forecasting with Missing Data for Greenhouse Crops},
author = {Alexander Kocian and Giulia Carmassi and Fatjon Cela and Luca Incrocci and Paolo Milazzo and Stefano Chessa},
doi = {10.3390/s20113246},
year = {2020},
date = {2020-01-01},
journal = {Sensors},
volume = {20},
number = {11},
pages = {3246},
publisher = {MDPI AG},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Kocian, Alexander; Massa, Daniele; Cannazzaro, Samantha; Incrocci, Luca; Lonardo, Sara Di; Milazzo, Paolo; Chessa, Stefano
Dynamic Bayesian network for crop growth prediction in greenhouses Journal Article
In: Computers and Electronics in Agriculture, vol. 169, pp. 105167, 2020.
@article{Kocian2020c,
title = {Dynamic Bayesian network for crop growth prediction in greenhouses},
author = {Alexander Kocian and Daniele Massa and Samantha Cannazzaro and Luca Incrocci and Sara Di Lonardo and Paolo Milazzo and Stefano Chessa},
doi = {10.1016/j.compag.2019.105167},
year = {2020},
date = {2020-01-01},
journal = {Computers and Electronics in Agriculture},
volume = {169},
pages = {105167},
publisher = {Elsevier BV},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Barbuti, Roberto; Gori, Roberta; Milazzo, Paolo
Encoding Boolean networks into reaction systems for investigating causal dependencies in gene regulation Journal Article
In: Theoretical Computer Science, 2020.
@article{Barbuti2020,
title = {Encoding Boolean networks into reaction systems for investigating causal dependencies in gene regulation},
author = {Roberto Barbuti and Roberta Gori and Paolo Milazzo},
doi = {10.1016/j.tcs.2020.07.031},
year = {2020},
date = {2020-01-01},
journal = {Theoretical Computer Science},
publisher = {Elsevier BV},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Muscolino, Alessandro; Maria, Antonio Di; Alaimo, Salvatore; Borzì, Stefano; Ferragina, Paolo; Ferro, Alfredo; Pulvirenti, Alfredo
NETME: On-the-fly knowledge network construction from biomedical literature Book Section
In: International Conference on Complex Networks and their Applications (COMPLEX), Springer International Publishing, 2020.
@incollection{Muscolino2020,
title = {NETME: On-the-fly knowledge network construction from biomedical literature},
author = {Alessandro Muscolino and Antonio Di Maria and Salvatore Alaimo and Stefano Borzì and Paolo Ferragina and Alfredo Ferro and Alfredo Pulvirenti},
year = {2020},
date = {2020-01-01},
booktitle = {International Conference on Complex Networks and their Applications (COMPLEX)},
publisher = {Springer International Publishing},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
Ferragina, Paolo; Vinciguerra, Giorgio
The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds Journal Article
In: Proceedings of the VLDB Endowment, vol. 13, no. 10, pp. 1162–1175, 2020.
@article{Ferragina2020,
title = {The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds},
author = {Paolo Ferragina and Giorgio Vinciguerra},
doi = {10.14778/3389133.3389135},
year = {2020},
date = {2020-01-01},
journal = {Proceedings of the VLDB Endowment},
volume = {13},
number = {10},
pages = {1162--1175},
publisher = {VLDB Endowment},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Rossi, Alessio; Pozzo, Eleonora Da; Menicagli, Dario; Tremolanti, Chiara; Priami, Corrado; Sirbu, Alina; Clifton, David A; Martini, Claudia; Morelli, Davide
A Public Dataset of 24-h Multi-Levels Psycho-Physiological Responses in Young Healthy Adults Journal Article
In: Data, vol. 5, no. 4, pp. 91, 2020.
@article{Rossi2020,
title = {A Public Dataset of 24-h Multi-Levels Psycho-Physiological Responses in Young Healthy Adults},
author = {Alessio Rossi and Eleonora Da Pozzo and Dario Menicagli and Chiara Tremolanti and Corrado Priami and Alina Sirbu and David A Clifton and Claudia Martini and Davide Morelli},
doi = {10.3390/data5040091},
year = {2020},
date = {2020-01-01},
journal = {Data},
volume = {5},
number = {4},
pages = {91},
publisher = {MDPI AG},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Ferrari, Elisa; Retico, Alessandra; Bacciu, Davide
Measuring the effects of confounders in medical supervised classification problems: the Confounding Index (CI) Journal Article
In: Artificial Intelligence in Medicine, vol. 103, pp. 101804, 2020.
@article{Ferrari2020,
title = {Measuring the effects of confounders in medical supervised classification problems: the Confounding Index (CI)},
author = {Elisa Ferrari and Alessandra Retico and Davide Bacciu},
doi = {10.1016/j.artmed.2020.101804},
year = {2020},
date = {2020-01-01},
journal = {Artificial Intelligence in Medicine},
volume = {103},
pages = {101804},
publisher = {Elsevier BV},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Bove, Pasquale; Micheli, Alessio; Milazzo, Paolo; Podda, Marco
Prediction of Dynamical Properties of Biochemical Pathways with Graph Neural Networks Proceedings Article
In: Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies, SCITEPRESS - Science and Technology Publications, 2020.
@inproceedings{Bove2020,
title = {Prediction of Dynamical Properties of Biochemical Pathways with Graph Neural Networks},
author = {Pasquale Bove and Alessio Micheli and Paolo Milazzo and Marco Podda},
doi = {10.5220/0008964700320043},
year = {2020},
date = {2020-01-01},
booktitle = {Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies},
publisher = {SCITEPRESS - Science and Technology Publications},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Torrado, Juan C; Wold, Ida; Jaccheri, Letizia; Pelagatti, Susanna; Chessa, Stefano; Gomez, Javier; Hartvigsen, Gunnar; Michalsen, Henriette
Developing Software for Motivating Individuals with Intellectual Disabilities to Do Outdoor Physical Activity Proceedings Article
In: Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering: Software Engineering in Society, pp. 81–84, Association for Computing Machinery, Seoul, South Korea, 2020, ISBN: 9781450371244.
@inproceedings{Torrado2020,
title = {Developing Software for Motivating Individuals with Intellectual Disabilities to Do Outdoor Physical Activity},
author = {Juan C Torrado and Ida Wold and Letizia Jaccheri and Susanna Pelagatti and Stefano Chessa and Javier Gomez and Gunnar Hartvigsen and Henriette Michalsen},
doi = {10.1145/3377815.3381376},
isbn = {9781450371244},
year = {2020},
date = {2020-01-01},
booktitle = {Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering: Software Engineering in Society},
pages = {81–84},
publisher = {Association for Computing Machinery},
address = {Seoul, South Korea},
series = {ICSE-SEIS '20},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Kocian, Alexander; Chessa, Stefano; Grolman, Wilko
Monitoring Practitioner's Skills in Pure-Tone Audiometry Journal Article
In: International Journal of E-Health and Medical Communications, vol. 11, no. 2, pp. 38–63, 2020.
@article{Kocian2020,
title = {Monitoring Practitioner's Skills in Pure-Tone Audiometry},
author = {Alexander Kocian and Stefano Chessa and Wilko Grolman},
doi = {10.4018/ijehmc.2020040103},
year = {2020},
date = {2020-01-01},
journal = {International Journal of E-Health and Medical Communications},
volume = {11},
number = {2},
pages = {38--63},
publisher = {IGI Global},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2019
Pappalardo, Luca; Cintia, Paolo; Ferragina, Paolo; Massucco, Emanuele; Pedreschi, Dino; Giannotti, Fosca
PlayeRank: Data-driven Performance Evaluation and Player Ranking in Soccer via a Machine Learning Approach Journal Article
In: ACM Transactions on Intelligent Systems and Technology, vol. 10, no. 5, pp. 1–27, 2019.
@article{Pappalardo2019b,
title = {PlayeRank: Data-driven Performance Evaluation and Player Ranking in Soccer via a Machine Learning Approach},
author = {Luca Pappalardo and Paolo Cintia and Paolo Ferragina and Emanuele Massucco and Dino Pedreschi and Fosca Giannotti},
doi = {10.1145/3343172},
year = {2019},
date = {2019-11-01},
journal = {ACM Transactions on Intelligent Systems and Technology},
volume = {10},
number = {5},
pages = {1--27},
publisher = {Association for Computing Machinery (ACM)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Misselbeck, Karla; Parolo, Silvia; Lorenzini, Francesca; Savoca, Valeria; Leonardelli, Lorena; Bora, Pranami; Morine, Melissa J; Mione, Maria Caterina; Domenici, Enrico; Priami, Corrado
A network-based approach to identify deregulated pathways and drug effects in metabolic syndrome Journal Article
In: Nature Communications, vol. 10, no. 1, 2019.
@article{Misselbeck2019,
title = {A network-based approach to identify deregulated pathways and drug effects in metabolic syndrome},
author = {Karla Misselbeck and Silvia Parolo and Francesca Lorenzini and Valeria Savoca and Lorena Leonardelli and Pranami Bora and Melissa J Morine and Maria Caterina Mione and Enrico Domenici and Corrado Priami},
doi = {10.1038/s41467-019-13208-z},
year = {2019},
date = {2019-11-01},
journal = {Nature Communications},
volume = {10},
number = {1},
publisher = {Springer Science and Business Media LLC},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Morelli, Davide; Rossi, Alessio; Cairo, Massimo; Clifton, David A
Analysis of the Impact of Interpolation Methods of Missing RR-intervals Caused by Motion Artifacts on HRV Features Estimations Journal Article
In: Sensors, vol. 19, no. 14, pp. 3163, 2019.
@article{Morelli2019,
title = {Analysis of the Impact of Interpolation Methods of Missing RR-intervals Caused by Motion Artifacts on HRV Features Estimations},
author = {Davide Morelli and Alessio Rossi and Massimo Cairo and David A Clifton},
doi = {10.3390/s19143163},
year = {2019},
date = {2019-07-01},
journal = {Sensors},
volume = {19},
number = {14},
pages = {3163},
publisher = {MDPI AG},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Bondioli, Mariasole; Chessa, Stefano; Narzisi, Antonio; Pelagatti, Susanna; Piotrowicz, Dario
Capturing Play Activities of Young Children to Detect Autism Red Flags Book Section
In: Advances in Intelligent Systems and Computing, pp. 71–79, Springer International Publishing, 2019.
@incollection{Bondioli2019,
title = {Capturing Play Activities of Young Children to Detect Autism Red Flags},
author = {Mariasole Bondioli and Stefano Chessa and Antonio Narzisi and Susanna Pelagatti and Dario Piotrowicz},
doi = {10.1007/978-3-030-24097-4_9},
year = {2019},
date = {2019-06-01},
booktitle = {Advances in Intelligent Systems and Computing},
pages = {71--79},
publisher = {Springer International Publishing},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
Ciuffoletti, Augusto
Design of an Open Remote Electrocardiogram (ECG) Service Journal Article
In: Future Internet, vol. 11, no. 4, pp. 101, 2019.
@article{Ciuffoletti2019,
title = {Design of an Open Remote Electrocardiogram (ECG) Service},
author = {Augusto Ciuffoletti},
doi = {10.3390/fi11040101},
year = {2019},
date = {2019-01-01},
journal = {Future Internet},
volume = {11},
number = {4},
pages = {101},
publisher = {MDPI AG},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Rossi, Alessio; Perri, Enrico; Pappalardo, Luca; Cintia, Paolo; Iaia, Fedon Marcello
Relationship between External and Internal Workloads in Elite Soccer Players: Comparison between Rate of Perceived Exertion and Training Load Journal Article
In: Applied Sciences, vol. 9, no. 23, pp. 5174, 2019.
@article{Rossi2019,
title = {Relationship between External and Internal Workloads in Elite Soccer Players: Comparison between Rate of Perceived Exertion and Training Load},
author = {Alessio Rossi and Enrico Perri and Luca Pappalardo and Paolo Cintia and Fedon Marcello Iaia},
doi = {10.3390/app9235174},
year = {2019},
date = {2019-01-01},
journal = {Applied Sciences},
volume = {9},
number = {23},
pages = {5174},
publisher = {MDPI AG},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Pappalardo, Luca; Cintia, Paolo; Rossi, Alessio; Massucco, Emanuele; Ferragina, Paolo; Pedreschi, Dino; Giannotti, Fosca
A public data set of spatio-temporal match events in soccer competitions Journal Article
In: Scientific Data, vol. 6, no. 1, 2019.
@article{Pappalardo2019,
title = {A public data set of spatio-temporal match events in soccer competitions},
author = {Luca Pappalardo and Paolo Cintia and Alessio Rossi and Emanuele Massucco and Paolo Ferragina and Dino Pedreschi and Fosca Giannotti},
doi = {10.1038/s41597-019-0247-7},
year = {2019},
date = {2019-01-01},
journal = {Scientific Data},
volume = {6},
number = {1},
publisher = {Springer Science and Business Media LLC},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Simoni, Giulia; Vo, Hong Thanh; Priami, Corrado; Marchetti, Luca
A comparison of deterministic and stochastic approaches for sensitivity analysis in computational systems biology Journal Article
In: Briefings in Bioinformatics, vol. 21, no. 2, pp. 527–540, 2019.
@article{Simoni2019,
title = {A comparison of deterministic and stochastic approaches for sensitivity analysis in computational systems biology},
author = {Giulia Simoni and Hong Thanh Vo and Corrado Priami and Luca Marchetti},
doi = {10.1093/bib/bbz014},
year = {2019},
date = {2019-01-01},
journal = {Briefings in Bioinformatics},
volume = {21},
number = {2},
pages = {527--540},
publisher = {Oxford University Press (OUP)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Franco, Giuseppe; Cerina, Luca; Gallicchio, Claudio; Micheli, Alessio; Santambrogio, Marco Domenico
Continuous Blood Pressure Estimation Through Optimized Echo State Networks Book Section
In: Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions, pp. 48–61, Springer International Publishing, 2019.
@incollection{Franco2019,
title = {Continuous Blood Pressure Estimation Through Optimized Echo State Networks},
author = {Giuseppe Franco and Luca Cerina and Claudio Gallicchio and Alessio Micheli and Marco Domenico Santambrogio},
doi = {10.1007/978-3-030-30493-5_5},
year = {2019},
date = {2019-01-01},
booktitle = {Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions},
pages = {48--61},
publisher = {Springer International Publishing},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
2018
Podda, Marco; Bacciu, Davide; Micheli, Alessio; Bellu, Roberto; Placidi, Giulia; Gagliardi, Luigi
A machine learning approach to estimating preterm infants survival: development of the Preterm Infants Survival Assessment (PISA) predictor Journal Article
In: Scientific Reports, vol. 8, no. 1, 2018.
@article{Podda2018,
title = {A machine learning approach to estimating preterm infants survival: development of the Preterm Infants Survival Assessment (PISA) predictor},
author = {Marco Podda and Davide Bacciu and Alessio Micheli and Roberto Bellu and Giulia Placidi and Luigi Gagliardi},
doi = {10.1038/s41598-018-31920-6},
year = {2018},
date = {2018-09-01},
journal = {Scientific Reports},
volume = {8},
number = {1},
publisher = {Springer Science and Business Media LLC},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Bacciu, Davide; Colombo, Michele; Morelli, Davide; Plans, David
Randomized neural networks for preference learning with physiological data Journal Article
In: Neurocomputing, vol. 298, pp. 9–20, 2018.
@article{Bacciu2018,
title = {Randomized neural networks for preference learning with physiological data},
author = {Davide Bacciu and Michele Colombo and Davide Morelli and David Plans},
doi = {10.1016/j.neucom.2017.11.070},
year = {2018},
date = {2018-07-01},
journal = {Neurocomputing},
volume = {298},
pages = {9--20},
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Burchi, Gianluca; Chessa, Stefano; Gambineri, Francesca; Kocian, Alexander; Massa, Daniele; Milazzo, Paolo; Rimediotti, Luca; Ruggeri, Alessandro
Information technology controlled greenhouse: A system architecture Proceedings Article
In: 2018 IoT Vertical and Topical Summit on Agriculture - Tuscany (IOT Tuscany), IEEE, 2018.
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Cappanera, Paola; Scutellà, Maria Grazia; Nervi, Federico; Galli, Laura
Demand uncertainty in robust Home Care optimization Journal Article
In: Omega, vol. 80, pp. 95–110, 2018.
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title = {Demand uncertainty in robust Home Care optimization},
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Rossi, Alessio; Pappalardo, Luca; Cintia, Paolo; Iaia, Fedon Marcello; Fernandez, Javier; Medina, Daniel
Effective injury forecasting in soccer with GPS training data and machine learning Journal Article
In: PLOS ONE, vol. 13, no. 7, pp. e0201264, 2018.
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Gallicchio, Claudio; Micheli, Alessio; Pedrelli, Luca
Deep Echo State Networks for Diagnosis of Parkinson's Disease Book Section
In: ESANN 2018, 2018.
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2017
Palumbo, Filippo; Rosa, Davide La; Ferro, Erina; Bacciu, Davide; Gallicchio, Claudio; Micheli, Alessio; Chessa, Stefano; Vozzi, Federico; Parodi, Oberdan
Reliability and human factors in Ambient Assisted Living environments Journal Article
In: Journal of Reliable Intelligent Environments, vol. 3, no. 3, pp. 139–157, 2017.
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year = {2017},
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Cappanera, Paola; Scutellà, Maria Grazia
Pattern Generation Policies to Cope with Robustness in Home Care Book Section
In: Springer Proceedings in Mathematics & Statistics, pp. 257–268, Springer International Publishing, 2017.
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2016
Consortium, The Computational Pan-Genomics
Computational pan-genomics: status, promises and challenges Journal Article
In: Briefings in Bioinformatics, pp. bbw089, 2016.
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Barbuti, Roberto; Gori, Roberta; Levi, Francesca; Milazzo, Paolo
Investigating dynamic causalities in reaction systems Journal Article
In: Theoretical Computer Science, vol. 623, pp. 114–145, 2016.
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title = {Investigating dynamic causalities in reaction systems},
author = {Roberto Barbuti and Roberta Gori and Francesca Levi and Paolo Milazzo},
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Sameen, Sheema; Barbuti, Roberto; Milazzo, Paolo; Cerone, Antonio; Re, Marzia Del; Danesi, Romano
Mathematical modeling of drug resistance due to KRAS mutation in colorectal cancer Journal Article
In: Journal of Theoretical Biology, vol. 389, pp. 263–273, 2016.
@article{Sameen2016,
title = {Mathematical modeling of drug resistance due to KRAS mutation in colorectal cancer},
author = {Sheema Sameen and Roberto Barbuti and Paolo Milazzo and Antonio Cerone and Marzia Del Re and Romano Danesi},
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Yalçindağ, Semih; Cappanera, Paola; Scutellà, Maria Grazia; Şahin, Evren; Matta, Andrea
Pattern-based decompositions for human resource planning in home health care services Journal Article
In: Computers & Operations Research, vol. 73, pp. 12–26, 2016.
@article{Yalnda2016,
title = {Pattern-based decompositions for human resource planning in home health care services},
author = {Semih Yalçindağ and Paola Cappanera and Maria Grazia Scutellà and Evren Şahin and Andrea Matta},
url = {https://doi.org/10.1016/j.cor.2016.02.011},
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year = {2016},
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Grossi, Roberto; Iliopoulos, Costas S; Mercas, Robert; Pisanti, Nadia; Pissis, Solon P; Retha, Ahmad; Vayani, Fatima
Circular sequence comparison: algorithms and applications Journal Article
In: Algorithms for Molecular Biology, vol. 11, no. 1, 2016.
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title = {Circular sequence comparison: algorithms and applications},
author = {Roberto Grossi and Costas S Iliopoulos and Robert Mercas and Nadia Pisanti and Solon P Pissis and Ahmad Retha and Fatima Vayani},
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2015
Patterson, Murray; Marschall, Tobias; Pisanti, Nadia; van Iersel, Leo; Stougie, Leen; Klau, Gunnar W; Schönhuth, Alexander
WhatsHap: Weighted Haplotype Assembly for Future-Generation Sequencing Reads Journal Article
In: Journal of Computational Biology, vol. 22, no. 6, pp. 498–509, 2015.
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Cappanera, Paola; Scutellà, Maria Grazia
Joint Assignment, Scheduling, and Routing Models to Home Care Optimization: A Pattern-Based Approach Journal Article
In: Transportation Science, vol. 49, no. 4, pp. 830–852, 2015.
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2013
Cappanera, Paola; Scutellà, Maria Grazia
Home Care optimization: impact of pattern generation policies on scheduling and routing decisions Journal Article
In: Electronic Notes in Discrete Mathematics, vol. 41, pp. 53–60, 2013.
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2012
Barbuti, Roberto; Levi, Francesca; Milazzo, Paolo; Scatena, Guido
Probabilistic model checking of biological systems with uncertain kinetic rates Journal Article
In: Theoretical Computer Science, vol. 419, pp. 2–16, 2012.
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title = {Probabilistic model checking of biological systems with uncertain kinetic rates},
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year = {2012},
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