Papers by Francesco Archetti
European Journal of Operational Research, 1997
In this paper we are concerned with stochastic optimization problems in the case when the joint p... more In this paper we are concerned with stochastic optimization problems in the case when the joint probability distribution, associated with random parameters, can be described by means of a Bayesian net. In such a case we suggest that the structured nature of the probability distribution can be exploited for designing efficient gradient estimation algorithm. Such gradient estimates can be used within the general framework of stochastic gradient (quasi-gradient) solution procedures in order to solve complex non-linear stochastic optimization problems. We describe a gradient estimation algorithm and present a case study related to the reliability of semiconductor manufacturing together with numerical experiments. © 1997 Published by Elsevier Science B.V.
Docking energy assessment by multi-criteria genetic programming
Localized ENVironmental and health Information Services for all (Lenvis) is a European Union FP7 ... more Localized ENVironmental and health Information Services for all (Lenvis) is a European Union FP7 research project aimed at developing an innovative collaborative decision support network for exchange of location-based environmental and health services between all stakeholders, for enhanced capacity to assess population exposure and health risks, and better management of the concerned ecosystems. Lenvis includes health indicators as integral part of the environmental management. In Lenvis data are treated as metadata improving the interoperability among different components. The information provided by Lenvis is accessible to different groups of users: citizens and professionals in water and air area, as well as to local health authorities and health care providers. This paper presents the research results of Lenvis project, the system which is the main outcome of the project, and the advantages of using the results of the project by local authorities' practitioners and the public.
A decision support system for the evaluation of the health impact of air pollution
... RP ed., 2009 4. Giovanni Felici, Truemper K., A MINSAT approach for learning in logic domains... more ... RP ed., 2009 4. Giovanni Felici, Truemper K., A MINSAT approach for learning in logic domains, Informs Journal on Computing 14, 2036, 2002 A decision support system for the evaluation of the health impact of air pollution Francesco Archetti1, Federica Bargna1, Ilaria ...
A stochastic Petri net model to simulate the intrinsic variability of tissue factor induced coagulation cascade
Proceedings of the Winter Simulation Conference, 2012
Cost-effective sensors placement and leak localization – the Neptun pilot of the ICeWater project
Profiling The Elderly In Oral Anticoagulant Therapy: Genetics, Informatics And Clinical Practice
Iceis, 2010
In this paper we present a software system for decision support (DSS -Decision Support System) ai... more In this paper we present a software system for decision support (DSS -Decision Support System) aimed at forecasting high demand of admission on health care structures due to environmental pollution. The algorithmic kernel of the system is based on machine learning, the software architecture is such that both persistent and sensor data are integrated through a data integration infrastructure. Given the actual concentration of different pollutants, measured by a network of sensors, the DSS allows forecasting the demand of hospital admissions for acute diseases in the next 1 to 6 days. We tested our system on cardiovascular and respiratory diseases in the area of Milan.
An application of nonlinear programming techniques to the energy-economic optimization of building design
Lecture Notes in Control and Information Sciences, 1980
Without Abstract
Environmental engineering and management journal
Resilience is meant in this paper as the capability of a networked infrastructure to provide its ... more Resilience is meant in this paper as the capability of a networked infrastructure to provide its service even if some components are failed: it depends both on net-wide measures of connectivity and the role of a single component. This paper has two objectives: first to show how a set of global measures can be obtained using techniques from network theory, in particular how the spectral analysis of the adjacency and Laplacian matrices allows us to obtain a characterization of global connectivity which is both mathematically sound and operational. Second, how a clustering method in the subspace spanned by the l smallest eigenvectors of the Laplacian matrix allows us to identify the edges of the network whose failure break down the network (vulnerabilities). Even if most of the analysis can be applied to a generic networked infrastructure, specific references will be made to Water Distribution Networks (WDN). The operational value of the proposed method is demonstrated on both a benchmark and three real-world cases. However, this paper represents just a first step in the development of tools for supporting the analysis of resilience at global and local level, based upon an abstract graph setting. In particular, the current state of the work is aimed at define graph-based measures associated to network wide resilience and methods to detect vulnerabilities with respect to the connectivity of the physical infrastructures. Ongoing work is considering to combine the proposed framework with hydraulic simulation in order to: a) evaluate how much the supply service will be affected by a failure -in particular a fault of the vulnerable elements identified through the proposed framework -and b) estimate the hydraulic stress/strain on the pipes to rank it through a combination of its relevance for the connectivity and probability of breakages/leakages due to the current supply behaviour.
Resilience and Vulnerability in Urban Water Distribution Networks through Network Theory and Hydraulic Simulation
Procedia Engineering, 2015
IET Conference on Crime and Security, 2006
This paper focuses on on-line anomaly detection in video traffic surveillance systems. Markov Cha... more This paper focuses on on-line anomaly detection in video traffic surveillance systems. Markov Chain (MC) have been proposed already in computer and network intrusion detection. We applied them to the traffic domain and we propose to extend the classical MC (modeling all the behaviors in the scene) with an approach that evaluates in parallel a set of behavior specific MC. Such separate MCs are more discriminatory than a single MC for all the behaviors, allowing our approach to detect anomalies resulting from joining segments of normal behaviors. The learning of such models is done by using sequences of labeled normal behaviors and discretizing the image plane by using a simple grid. The approach has been validated on traffic surveillance videos, and experimental results show good performance both in terms of precision and recall.
Thanks to the recent progresses in judicial proceedings man-agement, especially related to the in... more Thanks to the recent progresses in judicial proceedings man-agement, especially related to the introduction of audio/video recording systems, semantic retrieval has now become a realistic key challenge. In this context emotion recognition engine, through the analysis of vo-cal signature of actors involved in judicial proceedings, could provide useful annotations for semantic retrieval of multimedia clips. With re-spect to the generation of semantic emotional tag in judicial domain, two main contributions are given: (1) the construction of an Italian emotional database for Italian proceedings annotation; (2) the investigation of a hi-erarchical classification system, based on risk minimization method, able to recognize emotional states from vocal signatures. In order to estimate the degree of affection we compared the proposed classification method with the traditional ones, highlighting in terms of classification accuracy the improvements given by a hierarchical learning approach.
Digital videos represent a fundamental informative source of those events that occur during a pen... more Digital videos represent a fundamental informative source of those events that occur during a penal proceedings, which thanks to the technologies available nowadays, can be stored, organized and retrieved in short time and with low cost. Considering the dimension that a video source can assume with respect to a courtroom recording, various neces-sities have been highlighted by the main judicial actors: fast navigation of the stream, efficient access to data inside and effective representation of relevant contents. One of the possible solutions to these requirements is represented by multimedia summarization aimed at deriving a syn-thetic representation of audio/video contents, characterized by a limited loss of meaningful information. In this paper a multimedia summariza-tion environment is proposed for defining a storyboard for proceedings celebrated into courtrooms.
Patient Engagement A Consumer-Centered Model to Innovate Healthcare, 2015
The present chapter will provide an example of an intervention evaluation from the joint viewpoin... more The present chapter will provide an example of an intervention evaluation from the joint viewpoints of patient engagement and user experience. The authors evaluated H-CIM, a technological platform for the intelligent monitoring of physiological data of elderly patients performing physiotherapy exercises. Descriptive quantitative measures, behavioral observation, and qualitative interviews are integrated to evaluate H-CIM ability in (1) guaranteeing a positive experience to its users and (2) supporting them in advancing through a patient engagement development. This contribution would constitute a practical example of how these fundamental factors should be considered and evaluated when implementing positive technology for healthcare.
The primary objective of DISCo is to develop research in order to significantly contribute to the... more The primary objective of DISCo is to develop research in order to significantly contribute to the innovative processes of the European and Italian productive systems and, to initiate re-launching of European research for the Information Society in the field of technology. Research takes place mainly inside the university, although there are numerous industrial and academic collaborations on the national and international level. Research at DISCo is organized into four research areas developed by the research labs: 1. Software architecture and analysis, distributed systems, imaging and artificial vision, robotics. The following Research laboratories belong to this area: SAL -IVL -IRA -NOMADIS -LTA -OpenIt -ESSERE -TELCO. 2. Data bases and information systems, artificial intelligence, knowledge engineering and management, cooperative technologies. Research laboratories: LET -L.Int.Ar -ITIS -IR. 3. Bioinformatics, complex systems, formal models of distributed systems. Research laboratories: BIO -FISLAB -MC3. 4. Models and algorithms for data analysis and decision sciences. Research laboratories: MIND -MAD.
A Markov based classification and treatment of the anticoagulant patient
A probabilistic algorithm for global optimization problems with a dimensionality reduction technique
Lecture Notes in Control and Information Sciences, 1980
Without Abstract
2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2009
In the last decade, new approaches focused on modelling uncertainty over complex relational data ... more In the last decade, new approaches focused on modelling uncertainty over complex relational data have been developed. In this paper one of the most promising of such approaches, known as Probabilistic Relational Models (PRMs), has been investigated and extended in order to measure and include uncertainty over relationships. Our extension, called PRMs with Relational Uncertainty, has been evaluated on realdata for web document classification purposes. Experimental results shown the potentiality of the proposed methods of capturing the real "strength" of relationships and the capacity of including this information into the probability model.
Optimal design of a remote heating network
Lecture Notes in Control and Information Sciences, 1986
In this paper the authors are concerned with a network design problem arising in the layout of a ... more In this paper the authors are concerned with a network design problem arising in the layout of a remote heating network. The problem can be modeled by a graph whose vertices represent the energy source, the demand points and the intermediate nodes and whose edges represent the possible pipe connections. Among the different arborescences rooted at the source and spanning
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Papers by Francesco Archetti