Marco Piangerelli

Marco Piangerelli
University of Camerino | UNICAM · Dipartimento di Matematica e Informatica

PhD

About

30
Publications
4,970
Reads
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256
Citations
Additional affiliations
February 2018 - present
University of Camerino
Position
  • PostDoc Position
October 2017 - present
University of Camerino
Position
  • Professor (Assistant)
January 2014 - January 2018
University of Camerino
Position
  • PhD Student

Publications

Publications (30)
Article
Full-text available
Work-related musculoskeletal disorders are a very impactful problem, both socially and economically, in the manufacturing sector. To control their effect, standardised methods and technologies for ergonomic assessment have been developed. The main technologies used are inertial sensors and vision-based systems. The former are accurate and reliable,...
Preprint
Full-text available
In this work a general framework is proposed to support the development of software systems that are able to adapt their behaviour according to the operating environment changes. The proposed approach, named REPTILE, works in a complete proactive manner and relies on Deep Reinforcement Learning-based agents to react to events, referred as novelties...
Conference Paper
Every day Public Administrations (PA) provide citizens with plenty of services. Due to different factors, such as the involvement of different human resources or the will to deliver lean and versatile services, the same service can show some variability across different organizations. Log files contain the proof of PA process' variability thus, bei...
Chapter
Every day Public Administrations (PA) provide citizens with plenty of services. Due to different factors, such as the involvement of different human resources or the will to deliver lean and versatile services, the same service can show some variability across different organizations. Log files contain the proof of PA process’ variability thus, bei...
Article
Full-text available
Among cardiovascular disease (CVD) biomarkers, the mitochondrial DNA copy number (mtDNAcn) is a promising candidate. A growing attention has been also dedicated to trimethylamine-N-oxide (TMAO), an oxidative derivative of the gut metabolite trimethylamine (TMA). With the aim to identify biomarkers predictive of CVD, we investigated TMA, TMAO, and m...
Preprint
Among cardiovascular disease (CVD) biomarkers, the mitochondrial DNA copy number (mtDNAcn) is a promising candidate. A growing attention has been also dedicated to trimethylamine-N-oxide (TMAO), an oxidative derivative of the gut metabolite trimethylamine (TMA). With the aim to identify biomarkers predictive of CVD, we investigated TMA, TMAO and mt...
Article
One of the key indicators used in tracking the evolution of an infectious disease is the reproduction number. This quantity is usually computed using the reported number of cases, but ignoring that many more individuals may be infected (e.g. asymptomatic carriers). We develop a Bayesian procedure to quantify the impact of undetected infectious case...
Article
Full-text available
Background: The scope of this work is to build a Machine Learning model able to predict patients risk to contract a multidrug resistant urinary tract infection (MDR UTI) after hospitalization. To achieve this goal, we used different popular Machine Learning tools. Moreover, we integrated an easy-to-use cloud platform, called DSaaS (Data Science as...
Preprint
One of the key indicators used in tracking the evolution of an infectious disease isthe reproduction number. This quantity is usually computed using the reportednumber of cases, but ignoring that many more individuals may be infected (e.g.asymptomatics). We propose a statistical procedure to quantify the impact of un-detected infectious cases on th...
Article
Understanding in silico the dynamics of metabolic reactions made by a large number of molecules represents a big issue in computational molecular biology. We investigate the potentiality of the interaction-as-perception at the basis of a multiagent system to tackle the complexity of visualising the emerging behaviour of a complex system. We model a...
Article
Full-text available
Gender differences in the burden of cardiovascular disease (CVD) have been observed worldwide. In this study, plasmatic levels of trimethylamine (TMA) and blood oxidative biomarkers have been evaluated in 358 men (89 controls and 269 CVD patients) and 189 women (64 control and 125 CVD patients). The fluorescence technique was applied to determine e...
Chapter
Full-text available
Complex systems are ubiquitous. Their components, agents, live in an environment perceiving its changes and reacting with appropriate actions; they also interact with each other causing changes in the environment itself. Modelling an environment that shows this feedback loop with agents is still a big issue because the model must take into account...
Preprint
The scarcity of Smart Home data is still a pretty big problem, and in a world where the size of a dataset can often make the difference between a poor performance and a good performance for problems related to machine learning projects, this needs to be resolved. But whereas the problem of retrieving real data can't really be resolved, as most of t...
Article
Full-text available
This study investigated the preventive efficacy of the crude oil extracted from Nigella sativa seeds in a rat model of arthritis induced by using complete Freund’s adjuvant (CFA). Nigella sativa oil at 1.82 mL/kg or 0.91 mL/kg (corresponding to 1596 and 798 mg/kg, respectively) was orally administered for 25 days from the day of immunization. One i...
Chapter
Visual detection of epileptic seizure from EEG signal is being inefficient and time consuming. Computational EEG signal analysis techniques were then used in the diagnosis and management of epileptic seizures. In this study, we compared the performance of Discrete Wavelet Transform (DWT) and the Stationary Wavelet Transform (SWT) decomposition tech...
Article
Full-text available
Introduction: The 5-hydroxytryptamine 2C receptor (HTR2C) rs6318 polymorphism has been associated with increased sensitivity to stress. This study investigated whether the rs6318 genotype modified the cortisol response to endurance physical activity. Methods: The HTR2C SNP was genotyped in a population of agonistic cyclists, and salivary cortisol l...
Article
Full-text available
Transforming the latent value of big data into real value requires the great human intelligence and application of human-data scientists. Data scientists are expected to have a wide range of technical skills alongside being passionate self-directed people who are able to work easily with others and deliver high quality outputs under pressure. There...
Article
Full-text available
Objective: An innovative method based on topological data analysis is introduced for classifying EEG recordings of patients affected by epilepsy. We construct a topological space from a collection of EEGs signals using Persistent Homology; then, we analyse the space by Persistent entropy, a global topological feature, in order to classify healthy...
Article
Full-text available
OBJECTIVE Wireless technology is a novel tool for the transmission of cortical signals. Wireless electrocorticography (ECoG) aims to improve the safety and diagnostic gain of procedures requiring invasive localization of seizure foci and also to provide long-term recording of brain activity for brain-computer interfaces (BCIs). However, no wireless...
Article
Pediatric obesity develops when a complex biological predisposition collides with an obesogenic environment. To further elucidate the role of genetics in obesity onset, we performed a candidate-gene association study in a young and sportive Italian population by testing the association of functional polymorphisms in ACE (rs4646994), FTO (rs9939609)...
Article
Full-text available
Changes in the homeostasis of metals and microelements have been demonstrated in Parkinson’s disease, whose etiology includes both a genetic and environmental basis. We studied the difference of microelements in the hair of Parkinson’s disease subjects (n = 46) compared with healthy controls (n = 24). Hair was chosen as a representative matrix to m...
Article
Full-text available
The number of children affected by Autism Spectrum Disorders (ASD) is dramatically increasing as well as the studies aimed at understanding the risk factors associated with the development of ASD. Since the etiology of ASD is partly genetic and partly environmental, factors (i.e., heavy metals, pesticides) as well as lifestyle seem to have a key ro...
Article
Full-text available
Hair is a non-invasive biological material useful in the biomonitoring of trace elements because it is a vehicle for substance excretion from the body, and it permits evaluating long-term metal exposure. Here, hair from an animal model of neurodegeneration, induced by early life permethrin treatment from the sixth to 21th day of life, has been anal...
Conference Paper
Full-text available
In this paper we propose a methodology based on Topogical Data Analysis (TDA) for capturing when a complex system, represented by a multivariate time series, changes its internal organization. The modification of the inner organization among the entities belonging to a complex system can induce a phase transition of the entire system. In order to i...
Conference Paper
The study of abnormal electrical activity of the brain, such as epilepsy, is attracting more and more interest for its wide impact on the population. Intracranial EEG recording (electrocorticogaphy; EcoG) and direct cortical stimulation (DCS) are, nowadays, the most accurate and reliable techniques to map cortical function and to identify the bound...
Conference Paper
Full-text available
The human brain is the self-adaptive system par excellence. We claim that a hierarchical model for self-adaptive system can be built on two levels, the upper structural level S and the lower behavioral level B. The higher order structure naturally emerges from interactions of the system with its environment and it acts as coordinator of local inter...
Article
Full-text available
Wireless transmission of cortical signals is an essential step to improve the safety of epilepsy procedures requiring seizure focus localization and to provide chronic recording of brain activity for Brain Computer Interface (BCI) applications. Our group developed a fully implantable and externally rechargeable device, able to provide wireless elec...

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Projects

Projects (2)
Project
Study the CNN and their application to scalp electroencephalogram.
Project
Abstract. This project aims to challenge the current thinking in IT for the ′Big Data ′ question, proposing – almost verbatim, with no formulas – a program aiming to construct an innovative methodology to perform data analytics in a way that returns an automaton as a recognizer of the data language: a Field Theory of Data. We suggest to build, directly out of probing data space, a theoretical framework enabling us to extract the manifold hidden relations (patterns) that exist among data, as correlations depending on the semantics generated by the mining context. The program, that is grounded in the recent innovative ways of integrating data into a topological setting, proposes the realization of a Topological Field Theory of Data, transferring and generalizing to the space of data notions inspired by physical (topological) field theories and harnesses the theory of formal languages to define the potential semantics necessary to understand the emerging patterns.