@article {, title = {A Decision Support System for Diabetes Chronic Care Models Based on General Practitioner Engagement and EHR Data Sharing}, journal = {IEEE Journal of Translational Engineering in Health and Medicine}, volume = {8}, year = {2020}, pages = {1-12}, doi = {10.1109/JTEHM.2020.3031107}, author = {E. Frontoni and L. Romeo and M. Bernardini and S. Moccia and L. Migliorelli and M. Paolanti and A. Ferri and P. Misericordia and A. Mancini and P. Zingaretti} } @article {, title = {A Decision Support System for Diabetes Chronic Care Models based on General Practitioner engagement and EHR data sharing}, journal = {IEEE Journal of Translational Engineering in Health and Medicine}, year = {2020}, doi = {10.1109/JTEHM.2020.3031107}, url = {https://ieeexplore.ieee.org/document/9223696}, author = {E. Frontoni and L. Romeo and M. Bernardini and S. Moccia and L. Migliorelli and M. Paolanti and A. Ferri and P. Misericordia and A. Mancini and P. Zingaretti} } @article {, title = {Early temporal prediction of Type 2 Diabetes Risk Condition from a General Practitioner Electronic Health Record: A Multiple Instance Boosting Approach}, journal = {Artificial Intelligence in Medicine}, year = {2020}, pages = {101847}, author = {Bernardini, Michele and Morettini, Micaela and Romeo, Luca and Frontoni, Emanuele and Burattini, Laura} } @article {, title = {Machine learning-based design support system for the prediction of heterogeneous machine parameters in industry 4.0}, journal = {Expert Systems with Applications}, volume = {140}, year = {2020}, pages = {112869}, author = {Romeo, Luca and Loncarski, Jelena and Paolanti, Marina and Bocchini, Gianluca and Mancini, Adriano and Frontoni, Emanuele} } @conference {, title = {A Novel Spatio-Temporal Multi-Task Approach for the Prediction of Diabetes-Related Complication: a Cardiopathy Case of Study}, booktitle = {Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, {IJCAI-20}}, year = {2020}, month = {7}, publisher = {International Joint Conferences on Artificial Intelligence Organization}, organization = {International Joint Conferences on Artificial Intelligence Organization}, url = {https://doi.org/10.24963/ijcai.2020/593}, author = {Romeo, Luca and Armentano, Giuseppe and Nicolucci, Antonio and Vespasiani, Marco and Vespasiani, Giacomo and Frontoni, Emanuele}, editor = {Christian Bessiere} } @article {, title = {A sequential deep learning application for recognising human activities in smart homes}, journal = {Neurocomputing}, volume = {396}, year = {2020}, pages = {501{\textendash}513}, author = {Liciotti, Daniele and Bernardini, Michele and Romeo, Luca and Frontoni, Emanuele} } @article {, title = {Discovering the Type 2 Diabetes in Electronic Health Records using the Sparse Balanced Support Vector Machine}, journal = {IEEE Journal of Biomedical and Health Informatics }, year = {2019}, abstract = {

The diagnosis of Type 2 Diabetes (T2D) at an early stage has a key role for an adequate T2D integrated management system and patient{\textquoteright}s follow-up. Recent years have witnessed an increasing amount of available Electronic Health Record (EHR) data and Machine Learning (ML) techniques have been considerably evolving. However, managing and modeling this amount of information may lead to several challenges such as overfitting, model interpretability and computational cost. Starting from these motivations, we introduced a ML method called Sparse Balanced Support Vector Machine (SB-SVM) for discovering T2D in a novel collected EHR dataset (named FIMMG dataset). In particular, among all the EHR features related to exemptions, examination and drug prescriptions we have selected only those collected before T2D diagnosis from a uniform age group of subjects. We demonstrated the reliability of the introduced approach with respect to other ML and Deep Learning approaches widely employed in the state-of-the-art for solving this task. Results evidence that the SB-SVM overcomes the other state-of-the-art competitors providing the best compromise between predictive performance and computation time. Additionally, the induced sparsity allows to increase the model interpretability, while implicitly managing high dimensional data and the usual unbalanced class distribution.

}, keywords = {Decision Support System, Electronic Health Record, Machine Learning, Support Vector Machine, Type 2 Diabetes}, issn = {2168-2208}, doi = {10.1109/JBHI.2019.2899218}, url = {https://ieeexplore.ieee.org/abstract/document/8641396}, author = {Michele Bernardini and Luca Romeo and Paolo Misericordia and Emanuele Frontoni} } @article {, title = {Multiple instance learning for emotion recognition using physiological signals}, journal = {IEEE Transactions on Affective Computing}, year = {2019}, author = {Romeo, Luca and Cavallo, Andrea and Pepa, Lucia and Berthouze, Nadia and Pontil, Massimiliano} } @article {, title = {TyG-er: An ensemble Regression Forest approach for identification of clinical factors related to insulin resistance condition using Electronic Health Records}, journal = {Computers in Biology and Medicine}, volume = {112}, year = {2019}, pages = {103358}, author = {Bernardini, Michele and Morettini, Micaela and Romeo, Luca and Frontoni, Emanuele and Burattini, Laura} } @conference {, title = {An agent-based WCET analysis for Top-View Person Re-Identification}, booktitle = {1st International Workshop on Real-Time Compliant Multi-Agent Systems (RTcMAS)}, year = {2018}, publisher = {CEUR Workshop Proceedings}, organization = {CEUR Workshop Proceedings}, address = {Stockholm}, abstract = {

Person re-identification is a challenging task for improving and personalising the shopping experience in an intelligent retail environment. A new Top View Person Re-Identification (TVPR) dataset of 100 persons has been collected and described in a previous work. This work estimates the Worst Case Execution Time (WCET) for the features extraction and classification steps. Such tasks should not exceed the WCET, in order to ensure the effectiveness of the proposed application. In fact, after the features extraction, the classification process is performed by selecting the first passage under the camera for training and using the others as the testing set. Furthermore, a gender classification is exploited for improving retail applications. We tested all feature sets using k-Nearest Neighbors, Support Vector Machine, Decision Tree and Random Forest classifiers. Experimental results prove the effectiveness of the proposed approach, achieving good performance in terms of Precision, Recall and F1-score.

}, keywords = {Person re-identification, Real-time, Retail, RGB-D camera, WCET}, url = {http://ceur-ws.org/Vol-2156/paper4.pdf}, author = {Marina Paolanti and Valerio Placidi and Michele Bernardini and Andrea Felicetti and Rocco Pietrini and Emanuele Frontoni} } @article {, title = {Prospective motor control obeys to idiosyncratic strategies in autism}, journal = {Scientific reports}, volume = {8}, year = {2018}, pages = {1{\textendash}9}, author = {Cavallo, Andrea and Romeo, Luca and Ansuini, Caterina and Podda, Jessica and Battaglia, Francesca and Veneselli, Edvige and Pontil, Massimiliano and Becchio, Cristina} } @conference {liciotti2017hmm, title = {HMM-based activity recognition with a ceiling RGB-D camera}, booktitle = {ICPRAM (International Conference on Pattern Recognition Applications and Methods)}, year = {2017}, month = {02/2017}, abstract = {

Automated recognition of Activities of Daily Living allows to identify possible health problems and apply corrective strategies in Ambient Assisted Living (AAL). Activities of Daily Living analysis can provide very useful information for elder care and long-term care services. This paper presents an automated RGB-D video analysis system that recognises human ADLs activities, related to classical daily actions. The main goal is to predict the probability of an analysed subject action. Thus, the abnormal behaviour can be detected. The activity detection and recognition is performed using an affordable RGB-D camera. Human activities, despite their unstructured nature, tend to have a natural hierarchical structure; for instance, generally making a coffee involves a three-step process of turning on the coffee machine, putting sugar in cup and opening the fridge for milk. Action sequence recognition is then handled using a discriminative Hidden Markov Model (HMM). RADiaL, a dataset with RGB-D images and 3D position of each person for training as well as evaluating the HMM, has been built and made publicly available.

}, author = {Daniele Liciotti and Emanuele Frontoni and Primo Zingaretti and Bellotto, Nicola and Duckett, Tom} } @conference {Paolanti2016, title = {Accurate modeling of the microwave treatment in reverberating chamber. sanitation of agro food material}, booktitle = {Mediterranean Microwave Symposium}, volume = {2016-January}, year = {2016}, note = {cited By 0; Conference of 15th IEEE Mediterranean Microwave Symposium, MMS 2015 ; Conference Date: 30 November 2015 Through 2 December 2015; Conference Code:119001}, publisher = {IEEE Computer Society}, organization = {IEEE Computer Society}, abstract = {The microwave heating is useful for drying of foodstuff, disinfestation of works of art, phitosanitary treatment and disinfection of packaging according to current international guidelines. The computer simulation allows predicting and monitoring the heating process. The microwave treatment can nevertheless present some problems such as the presence of highly heated areas (hot spots) or areas with poor radiation due to particular shapes. Simulation of complex systems has evolved into a research discovery tool: such models and simulations, drawing upon the dramatic scale up of computational power and associated architectures and algorithmic innovation, can address complex systems with many degrees of freedom and with multiple length and time scales of interest. Using specific programs, the distribution of heating power in objects to be treated, even if complex shapes, can be predicted so as to be able to define the possibility, the time necessary to the processing, the power to be transmitted in the chamber and any repair or protection to cover the most sensitive areas. It can also predict the behavior of irradiation in the presence of other entities such as nails or pests. In order to perform simulation, important data are the geometry of the object or objects in the case of multiple loading and their dielectric characteristics. As a result we obtain the distribution of heating power. {\textcopyright} 2015 IEEE.}, keywords = {Computational power, Degrees of freedom (mechanics), Dielectric characteristics, Electromagnetic heating, Electromagnetics, Heating, Microwave heating, Microwave ovens, Microwave treatment, Microwaves, Rail-to-rail input, Reverberating chamber, Shape, Temperature measurement}, isbn = {9781467376020}, issn = {21579822}, doi = {10.1109/MMS.2015.7375447}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962766321\&partnerID=40\&md5=baeea86f228c70b1b41ce30e1d94e5a3}, author = {Marina Paolanti and Bacchiani, R.a and Emanuele Frontoni and Adriano Mancini and De Leo, R.a and Primo Zingaretti and Bisceglia, B.b} } @conference {innocenti2016development, title = {Development of an automatic procedure to mechanically characterize soft tissue materials}, booktitle = {Mechatronic and Embedded Systems and Applications (MESA), 2016 12th IEEE/ASME International Conference on}, year = {2016}, pages = {1{\textendash}6}, publisher = {IEEE}, organization = {IEEE}, author = {Innocenti, Bernardo and Lambert, Pierre and Larrieu, Jean-Charles and Pianigiani, Silvia and Marina Paolanti and Michele Bernardini and Annalisa Cenci and Emanuele Frontoni} } @conference {Paolanti2016, title = {Exposure protocol setup for agro food treatment. Method and system for developing an application for heating in reverberation chamber}, booktitle = {Mediterranean Microwave Symposium}, volume = {2016-January}, year = {2016}, note = {cited By 0; Conference of 15th IEEE Mediterranean Microwave Symposium, MMS 2015 ; Conference Date: 30 November 2015 Through 2 December 2015; Conference Code:119001}, publisher = {IEEE Computer Society}, organization = {IEEE Computer Society}, abstract = {Reverberation chambers are an important tool in various industrial applications: the microwave heating is useful for disinfestation of works of art, disinfection of packaging according to current international guidelines, drying of foodstuff, phitosanitary treatment. We built an application that simulates the heating of an object, assimilated to a sphere, in reverberation chamber. This application is useful for electromagnetic simulation and it is easy to use for inexperienced person in electromagnetic field. It is an user-friendly application featuring a rich graphical user interface. It can visualise the distribution of temperature in objects to be treated and it is possible to insert the power to be transmitted in the chamber. This application is built in COMSOL Multiphysics, an environment for various physics and engineering applications, especially coupled phenomena, or multiphysics. The packages are cross-platform (Windows, Mac, Linux) and they enable you to create accurate models in a very fast way. {\textcopyright} 2015 IEEE.}, keywords = {Anechoic chambers, Computer operating systems, Comsol multiphysics, Distribution of temperature, Electromagnetic fields, Electromagnetic heating, Electromagnetic simulation, Electromagnetics, Engineering applications, Graphical user interfaces, Heat treatment, Heating, Microwave heating, Microwave theory and techniques, Microwaves, Reverberation, Reverberation chambers, User interfaces}, isbn = {9781467376020}, issn = {21579822}, doi = {10.1109/MMS.2015.7375372}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962767504\&partnerID=40\&md5=9dfed9abd31c8c2fc9ca66541bb1e6a6}, author = {Marina Paolanti and Pollini, R.a and Emanuele Frontoni and Adriano Mancini and De Leo, R.a and Primo Zingaretti and Bisceglia, B.b} } @conference {Liciotti2014, title = {Advanced integration of multimedia assistive technologies: A prospective outlook}, booktitle = {MESA 2014 - 10th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, Conference Proceedings}, year = {2014}, note = {cited By 0}, abstract = {In the recent years several studies on population ageing in the most advanced countries argued that the share of people older than 65 years is steadily increasing. In order to tackle this phenomena, a significant effort has been devoted to the development of advanced technologies for supervising the domestic environments and their inhabitants to provide them assistance in their own home. In this context, the present paper aims to delineate a novel, highly-integrated system for advanced analysis of human behaviours. It is based on the fusion of the audio and vision frameworks, developed at the Multimedia Assistive Technology Laboratory (MATeLab) of the Universit{\`a} Politecnica delle Marche, in order to operate in the ambient assisted living context exploiting audio-visual domain features. The existing video framework exploits vertical RGB-D sensors for people tracking, interaction analysis and users activities detection in domestic scenarios. The depth information has been used to remove the affect of the appearance variation and to evaluate users activities inside the home and in front of the fixtures. In addition, group interactions are monitored and analysed. On the other side, the audio framework recognises voice commands by continuously monitoring the acoustic home environment. In addition, a hands-free communication to a relative or to a healthcare centre is automatically triggered when a distress call is detected. Echo and interference cancellation algorithms guarantee the high-quality communication and reliable speech recognition, respectively. The system we intend to delineate, thus, exploits multi-domain information, gathered from audio and video frameworks each, and stores them in a remote cloud for instant processing and analysis of the scene. Related actions are consequently performed.}, doi = {10.1109/MESA.2014.6935629}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84911977133\&partnerID=40\&md5=3a8fad94ccf6268631dbf553e9360956}, author = {Daniele Liciotti and Ferroni, G. and Emanuele Frontoni and Squartini, S. and Principi, E. and Bonfigli, R. and Primo Zingaretti and Francesco Piazza} } @conference {Rossi2014, title = {Interoperability issues among smart home technological frameworks}, booktitle = {MESA 2014 - 10th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, Conference Proceedings}, year = {2014}, note = {cited By 0}, abstract = {Population aging may be seen both as a human success story, the triumph of public health, medical advancements and economic development over diseases and injures, and as one of the most challenging phenomena that society faces in this century. Assistive technology in all its possible implementations (from Telemedicine to Ambient Assisted Living, and Ambient Intelligence) represents an emerging answer to the needs of the new generation of older adults whose desire is to live longer with a higher quality of life. Objective of this paper is to present the results of a public financed action for the development and implementation of an {\textquoteright}integration platform{\textquoteright} for Ambient Assisted Living that includes features of home automation (energy management, safety, comfort, etc.) and introduces {\textquoteright}smart objects{\textquoteright}, to monitor activities of daily living and detect any abnormal behavior that may represent a danger, or highlight symptoms of some incipient disease.}, doi = {10.1109/MESA.2014.6935626}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84911958222\&partnerID=40\&md5=969da407b2d8bad8fa3e16dbc7d254a0}, author = {Rossi, L. and Belli, A. and De Santis, A. and Diamantini, C. and Emanuele Frontoni and Gambi, E. and Palma, L. and Pernini, L. and Pierleoni, P. and Potena, D. and Raffaeli, L. and Spinsante, S. and Primo Zingaretti and Cacciagrano, D. and Corradini, F. and Culmone, R. and De Angelis, F. and Merelli, E. and Re, B.} } @conference {frontoni2014security, title = {Security issues for data sharing and service interoperability in eHealth systems: the Nu. Sa. test bed}, booktitle = {Security Technology (ICCST), 2014 International Carnahan Conference on}, year = {2014}, pages = {1{\textendash}6}, publisher = {IEEE}, organization = {IEEE}, author = {Emanuele Frontoni and Baldi, Marco and Primo Zingaretti and Landro, Vincenzo and Misericordia, Paolo} } @article {Frontoni2014853, title = {SIT-REM: An interoperable and interactive web geographic information system for fauna, flora and plant landscape data management}, journal = {ISPRS International Journal of Geo-Information}, volume = {3}, number = {2}, year = {2014}, note = {cited By 0}, pages = {853-867}, publisher = {MDPI AG}, abstract = {The main goal of the SIT-REM project is the design and the development of an interoperable web-GIS environment for the information retrieval and data editing/updating of the geobotanical and wildlife map of Marche Region. The vegetation, plant landscape and faunistic analysis allow the realization of a regional information system for wildlife-geobotanical data. A main characteristic of the SIT-REM is its flexibility and interoperability, in particular, its ability to be easily updated with the insertion of new types of environmental, faunal or socio-economic data and to generate analyses at any geographical (from regional to local) or quantitative level of detail. Different query levels obtain the latter: spatial queries, hybrid query builder and WMSs usable by means of a GIS. SIT-REM has been available online for more than a year and its use over this period has produced extensive data about users{\textquoteright} experiences.. {\textcopyright} 2014 by the authors; licensee MDPI, Basel, Switzerland.}, issn = {22209964}, doi = {10.3390/ijgi3020853}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84948991558\&partnerID=40\&md5=e554cb57d885eec6bb72afa03e616523}, author = {Emanuele Frontoni and Adriano Mancini and Primo Zingaretti and Eva Savina Malinverni and Pesaresi, S.c and Biondi, E.c and Pandolfi, M.d and Marseglia, M.e and Mirco Sturari and Zabaglia, C.g} } @conference {Gaujens2014, title = {Testing of cooperative tasks for Unmanned Aerial and ground platforms}, booktitle = {MESA 2014 - 10th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, Conference Proceedings}, year = {2014}, note = {cited By 0}, abstract = {In the last years the Model Based Design for Unmanned Systems aided the safe and rational release of applications running on unmanned systems. In particular in this paper we focus on a hybrid methodology that merges Software in the Loop (SIL) and Model in the Loop (MIL) strategies for cooperative tasks performed by aerial and ground autonomous vehicles. The proposed work flow covers the design and testing of Ground Control Station (GCS) modelled by a finite state machine, the design and testing of navigation code running on UAV and UGV and the testing of cooperative missions. The work-flow is based on a realistic 3D physical simulator interfaced with Matlab-Simulink-Stafeflow. The proposed approach has been successfully tested and evaluated allowing to release runnable and safe code on real targets.}, doi = {10.1109/MESA.2014.6935621}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84911957715\&partnerID=40\&md5=fa0db02cfc93a2552968c6a92df82cb8}, author = {Gaujens, A. and Benini, A. and Adriano Mancini and Sauro Longhi} } @conference {Cocchioni2014374, title = {Unmanned ground and aerial vehicles in extended range indoor and outdoor missions}, booktitle = {2014 International Conference on Unmanned Aircraft Systems, ICUAS 2014 - Conference Proceedings}, year = {2014}, note = {cited By 1}, pages = {374-382}, abstract = {The capability to instantiate a cooperation among heterogeneous agents is a fundamental feature in mobile robotics. In this paper we focus on the interaction between Unmanned Ground Vehicle (UGV) and Unmanned Aerial Vehicle (UAV) to extend the endurance of UAV, thanks to a novel landing/recharging platform. The UGV acts as a docking station and hosts the UAV during the indoor/outdoor transition and vice-versa. We designed a platform and a robust landing target to automate the fast recharge of UAV. The synchronization and coordination of cooperation is managed by a Ground Control Station (GCS) developed using a versatile software toolchain based on the integration of Stateflow, auto-generation of C-code and ROS. All the software components of UAV, UGV and GCS have been developed using ROS. The obtained results show that the UAV is able to land over the UGV with high accuracy (<5cm for both x and y axis) thanks to a visual position estimation algorithm, also in presence of wind (with gust up to 20-25km/h), recharging its batteries in a short time to extend its endurance. {\textcopyright} 2014 IEEE.}, doi = {10.1109/ICUAS.2014.6842276}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84904582437\&partnerID=40\&md5=f57cb12575d6f9ff24ff152e95b48c80}, author = {Francesco Cocchioni and Pierfelice, V. and Benini, A. and Adriano Mancini and Emanuele Frontoni and Primo Zingaretti and Ippoliti, G. and Sauro Longhi} } @article {Benini2013461, title = {An IMU/UWB/vision-based extended kalman filter for mini-UAV localization in indoor environment using 802.15.4a wireless sensor network}, journal = {Journal of Intelligent and Robotic Systems: Theory and Applications}, volume = {70}, number = {1-4}, year = {2013}, note = {cited By 4}, pages = {461-476}, abstract = {Indoor localization of mobile agents using wireless technologies is becoming very important in military and civil applications. This paper introduces an approach for the indoor localization of a mini UAV based on Ultra-WideBand technology, low cost IMU and vision based sensors. In this work an Extended Kalman Filter (EKF) is introduced as a possible technique to improve the localization. The proposed approach allows to use a low-cost Inertial Measurement Unit (IMU) in the prediction step and the integration of vision-odometry for the detection of markers nearness the touchdown area. The ranging measurements allow to reduce the errors of inertial sensors due to the limited performance of accelerometers and gyros. The obtained results show that an accuracy of 10 cm can be achieved. {\textcopyright} 2012 Springer Science+Business Media B.V.}, doi = {10.1007/s10846-012-9742-1}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84871640127\&partnerID=40\&md5=c45e91f48415630a0fb3a388a2ca9aaa}, author = {Benini, A. and Adriano Mancini and Sauro Longhi} } @conference {Benini2012735, title = {A Biased Extended Kalman Filter for indoor localization of a mobile agent using low-cost IMU and UWB wireless sensor network}, booktitle = {IFAC Proceedings Volumes (IFAC-PapersOnline)}, year = {2012}, note = {cited By 0}, pages = {735-740}, abstract = {Indoor localization of mobile agents using wireless technologies is becoming very important in military and civil applications. This paper introduces an approach for the indoor localization of a mobile agent based on Ultra-WideBand technology using a Biased Extended Kalman Filter (EKF) as a possible technique to improve the localization. The proposed approach allows to use a low-cost IMU (inertial measurement unit) which performances are improved by a calibration procedure. The obtained results show that the filter allows to obtain better result in terms of localization due to the estimation of bias and scale factor. {\textcopyright} 2012 IFAC.}, doi = {10.3182/20120905-3-HR-2030.00144}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84880993407\&partnerID=40\&md5=c8d42599e5ee04e0b909b6265235c723}, author = {Benini, A. and Adriano Mancini and Marinelli, A. and Sauro Longhi} } @article {Benini2012507, title = {A modular framework for fast prototyping of cooperative unmanned aerial vehicle}, journal = {Journal of Intelligent and Robotic Systems: Theory and Applications}, volume = {65}, number = {1-4}, year = {2012}, note = {cited By 4}, pages = {507-520}, abstract = {Unmanned Aerial Vehicles (UAVs) are gaining increasing interest thanks to their flexibility and versatility. However, these systems are very complex and a good simulation platform is needed. In this paper, a new Framework for simulation and fast prototyping of UAV control laws is presented. The Framework exploits the high realism of the simulations carried out in a three-dimensional virtual environment with the easiness of use of development systems such as Matlab{\textregistered} for fast prototyping of control systems. Then a novel method that exploits the benefits of Model Predictive Control (MPC) for cooperative scenarios is introduced. The obtained results show good performances of MPC in solving the formation problem of unmanned aerial vehicles; finding an optimal solution and taking into account different constraints. The developed framework allows also to easily change from simulated agent to real one. {\textcopyright} 2011 Springer Science+Business Media B.V.}, doi = {10.1007/s10846-011-9577-1}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84855437595\&partnerID=40\&md5=e426704537bd52bc6397b9152f01e978}, author = {Benini, A. and Adriano Mancini and Minutolo, R. and Sauro Longhi and Montanari, M.b} } @conference {Bucchi2012207, title = {Summarization of echo-Doppler videos for computer-aided diagnosis}, booktitle = {Proceedings of 2012 8th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2012}, year = {2012}, note = {cited By 0}, pages = {207-210}, abstract = {Summarization of echo-Doppler videos allows reducing diagnosis time, improving comparison between videos and making a more efficient storing of them. This paper aims at providing a solution to the static summarization of echo-Doppler videos. A static summary of a video is a collection of keyframes together with a description of them. The selection of keyframes discussed in this paper is based on the analysis of properties of red blobs resulting from Power Doppler technique. The properties of red blobs are extracted by a robust thresholding algorithm in the HSL colour model and via a connected-component labelling algorithm. Keyframes extracted from the echo-Doppler video satisfy specific properties for the red blobs. The work is still in progress and we are now collecting data for the construction of a decision support system to help doctors in their diagnoses. First results are encouraging and future works will bring to an interesting computer-aided system. {\textcopyright} 2012 IEEE.}, doi = {10.1109/MESA.2012.6275563}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84867455278\&partnerID=40\&md5=2f62875baeba4f7c9118f7ebd26e06af}, author = {Bucchi, M. and Emanuele Frontoni and Adriano Mancini and Primo Zingaretti} } @conference {Mancini2011745, title = {Coalition formation for unmanned quadrotors}, booktitle = {Proceedings of the ASME Design Engineering Technical Conference}, volume = {3}, number = {PARTS A AND B}, year = {2011}, note = {cited By 1}, pages = {745-752}, abstract = {Today Unmanned Aerial Vehicles (UAVs) and in particular quad-rotors represent novel platforms to accomplish a wide set of missions as surveillance, Search \& Rescue, inspection, pho-togrammetry. The main limitation of these vehicles is represented by the restricted operating area. The area is mainly limited by power supplies (batteries or fuel). A strategy to overcame this limitation is to increase the number of vehicles forming a coalition. The main benefit of coalition formation are the extended mission range and the capability to increase the sensorial set. Each vehicles is a part of a dynamic network that must be properly coordinated in order to optimize all the available resources. In this paper a new framework for simulation of unmanned vehicles in cooperative scenarios is first presented. The framework is based on the interaction of a physics-engine, which simulates the dynamics of vehicles and their interaction with world increasing the realism of simulation, and a simulation environment where the high-level strategy is designed/developed. A Model Predictive Control (MPC) is then introduced to solve the problem of leader-follower applied to quad-rotors. Using the developed framework and the MPC technique is possible to easily instantiate the coalition minimizing also a cost function. The obtained results from the control strategy point of view show that positioning error at steady state is equal to zero. The MPC allows also the modelling of different conflicting constraints as the control actions, positioning error, and fuel/energy consumption. {\textcopyright} 2011 by ASME.}, doi = {10.1115/DETC2011-48904}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84863584753\&partnerID=40\&md5=9d10818fcd0cd5219ab5df1c9eb26502}, author = {Adriano Mancini and Benini, A. and Emanuele Frontoni and Primo Zingaretti and Sauro Longhi} } @conference {Dragoni2011541, title = {A continuos learning for a face recognition system}, booktitle = {ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence}, volume = {1}, year = {2011}, note = {cited By 0}, pages = {541-544}, abstract = {A system of Multiple Neural Networks has been proposed to solve the face recognition problem. Our idea is that a set of expert networks specialized to recognize specific parts of face are better than a single network. This is because a single network could no longer be able to correctly recognize the subject when some characteristics partially change. For this purpose we assume that each network has a reliability factor defined as the probability that the network is giving the desired output. In case of conflicts between the outputs of the networks the reliability factor can be dynamically re-evaluated on the base of the Bayes Rule. The new reliabilities will be used to establish who is the subject. Moreover the network disagreed with the group and specialized to recognize the changed characteristic of the subject will be retrained and then forced to correctly recognize the subject. Then the system is subjected to continuous learning.}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-79960150495\&partnerID=40\&md5=4a12ff2305013f4969b4fc0242f2b7ec}, author = {Dragoni, A.F. and Vallesi, G. and Paola Baldassarri} } @article {Dragoni201179, title = {A continuous learning in a changing environment}, journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, volume = {6979 LNCS}, number = {PART 2}, year = {2011}, note = {cited By 0}, pages = {79-88}, abstract = {We propose a Hybrid System for dynamic environments, where a "Multiple Neural Networks" system works with Bayes Rule to solve a face recognition problem. One or more neural nets may no longer be able to properly operate, due to partial changes in some of the characteristics of the individuals. For this purpose, we assume that each expert network has a reliability factor that can be dynamically re-evaluated on the ground of the global recognition operated by the overall group. Since the net{\textquoteright}s degree of reliability is defined as the probability that the net is giving the desired output, in case of conflicts between the outputs of the various nets the re-evaluation of their degrees of reliability can be simply performed on the basis of the Bayes Rule. The new vector of reliability will be used to establish who is the conflict winner, making the final choice (the name of subject). Moreover the network disagreed with the group and specialized to recognize the changed characteristic of the subject will be retrained and then forced to correctly recognize the subject. Then the system is subjected to continuous learning. {\textcopyright} 2011 Springer-Verlag.}, doi = {10.1007/978-3-642-24088-1_9}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-80052998017\&partnerID=40\&md5=5004a58b7f29764e0e8129d5c456e8b9}, author = {Dragoni, A.F. and Vallesi, G. and Paola Baldassarri} } @article {Dragoni2011121, title = {Face recognition system in a dynamical environment}, journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, volume = {6692 LNCS}, number = {PART 2}, year = {2011}, note = {cited By 0}, pages = {121-128}, abstract = {We propose a Hybrid System for dynamic environments, where a "Multiple Neural Networks" system works with Bayes Rule to solve the face recognition problem. One or more neural nets may no longer be able to properly operate, due to partial changes in some of the characteristics of the individuals. For this purpose, we assume that each expert network has a reliability factor that can be dynamically re-evaluated on the ground of the global recognition operated by the overall group. Since the net{\textquoteright}s degree of reliability is defined as the probability that the net is giving the desired output, in case of conflicts between the outputs of the various nets the re-evaluation of their degrees of reliability can be simply performed on the basis of the Bayes Rule. The new vector of reliability will be used to establish who is the conflict winner, making the final choice. Moreover the network disagreed with the group and specialized to recognize the changed characteristic of the subject will be retrained and then forced to correctly recognize the subject. Then the system is subjected to continuous learning. {\textcopyright} 2011 Springer-Verlag.}, doi = {10.1007/978-3-642-21498-1_16}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-79957967237\&partnerID=40\&md5=ef902ad97692ff2d6ae546f1a63764bb}, author = {Dragoni, A.F. and Vallesi, G. and Paola Baldassarri} } @article {Malinverni20111025, title = {Hybrid object-based approach for land use/land cover mapping using high spatial resolution imagery}, journal = {International Journal of Geographical Information Science}, volume = {25}, number = {6}, year = {2011}, note = {cited By 13}, pages = {1025-1043}, abstract = {Traditionally, remote sensing has employed pixel-based classification techniques to deal with land use/land cover (LULC) studies. Generally, pixel-based approaches have been proven to work well with low spatial resolution imagery (e.g. Landsat or System Pour L{\textquoteright}Observation de la Terre sensors). Now, however, commercially available high spatial resolution images (e.g. aerial Leica ADS40 and Vexcel UltraCam sensors, and satellite IKONOS, Quickbird, GeoEye and WorldView sensors) can be problematic for pixel-based analysis due to their tendency to oversample the scene. This is driving research towards object-based approaches. This article proposes a hybrid classification method with the aim of incorporating the advantages of supervised pixel-based classification into object-based approaches. The method has been developed for medium- scale (1:10,000) LULC mapping using ADS40 imagery with 1 m ground sampling distance. First, spatial information is incorporated into a pixel-based classification (AdaBoost classifier) by means of additional texture features (Haralick, Gabor, Law features), which can be selected {\textquoteright}ad hoc{\textquoteright} according to optimal training samples ({\textquoteright}Relief-F{\textquoteright} pproach,Mahalanobis distances). Then a rule-based approach sorts segmented regions into thematic CORINE Land Cover classes in terms of membership class percentages (a modified Winner-Takes-All approach) and shape parameters. Finally, ancillary data (roads, rivers, etc.) are exploited to increase classification accuracy. The experimental results show that the proposed hybrid approach allows the extraction of more LULC classes than conventional pixel-based methods, while improving classification accuracy considerably. A second contribution of this article is the assessment of classification reliability by implementing a stability map, in addition to confusion matrices. {\textcopyright} 2011 Taylor \& Francis.}, doi = {10.1080/13658816.2011.566569}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-79960685342\&partnerID=40\&md5=18767c8a88bf2abff53ef96ec138f0aa}, author = {Eva Savina Malinverni and Anna Nora Tassetti and Adriano Mancini and Primo Zingaretti and Emanuele Frontoni and A. Bernardini} } @conference {Benini2011406, title = {A simulation framework for coalition formation of Unmanned Aerial Vehicles}, booktitle = {2011 19th Mediterranean Conference on Control and Automation, MED 2011}, year = {2011}, note = {cited By 3}, pages = {406-411}, abstract = {Unmanned Aerial Vehicles (UAVs) and in particular quad-rotors are gaining an increasing interest owing to their flexibility and versatility. Today the challenge is to integrate these versatile platforms in a wide fleet in order to perform cooperative tasks as surveillance, search \& rescue, inspection. The coalition formation problem is a pre-condition for cooperative missions. This problem can be solved with different methodologies from biologically-inspired algorithms to parasocial consensus sampling ones. In this paper a new framework for simulation of unmanned vehicles in cooperative scenarios is first presented. Then a novel method that exploits the benefits of Model Predictive Control (MPC) for a coalition formation problem (leader-follower) is introduced. The obtained results evidence the good performance of MPC to solve the problem of coalition formation for unmanned aerial vehicles finding the optimal solution taking into account different kind of constraints. The developed framework allows also to easily change from simulated agent to real one. {\textcopyright} 2011 IEEE.}, doi = {10.1109/MED.2011.5983163}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-80052355021\&partnerID=40\&md5=51acc4875190b250928b66e5b54b01a0}, author = {Benini, A. and Adriano Mancini and Emanuele Frontoni and Primo Zingaretti and Sauro Longhi} } @book {Fiori2010345, title = {Approximate joint matrix diagonalization by Riemannian-gradient-based optimization over the unitary group (with application to neural multichannel blind deconvolution)}, series = {Neural Computation and Particle Accelerators: Research, Technology and Applications}, year = {2010}, note = {cited By 0}, pages = {345-368}, abstract = {The aim of joint matrix diagonalization is to simultaneously diagonalize a set ofmatrices via a similarity transformation. Exact joint diagonalization may be achievedfor no more than two matrices, so when the number of the matrices is larger than two,the joint diagonalization problem becomes an optimization problem which gives riseto an approximate joint diagonalization method. The present chapter deals with theproblem of joint complex-valued matrix diagonalization in terms of a cost function tobe minimized by a unitary transformation with no constraints of symmetry on the setof matrices to be approximately diagonalized. In particular, we propose to solve suchoptimization problem through a Riemannian-gradient-based stepping method over theunitary group of matrices endowed with a method to define a stepsize schedule to beevaluated automatically at every iteration. Also, we describe an application of approximatejoint matrix diagonalization to multichannel blind deconvolution by neuralnetworks in the frequency-domain. To evaluate the performances of the proposed jointdiagonalization method in the context of neural multichannel blind deconvolution, wecompare the performances of the proposed method with the performances exhibitedby two alternativemethods, namely, the JADE algorithmand the direct-search method. {\textcopyright} 2010 by Nova Science Publishers, Inc. All rights reserved.}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84895199689\&partnerID=40\&md5=4e33109d8d80d45b4f3906ad29af6c76}, author = {Simone Fiori and Paola Baldassarri} } @conference {Dragoni2010185, title = {Hybrid System for a never-ending unsupervised learning}, booktitle = {2010 10th International Conference on Hybrid Intelligent Systems, HIS 2010}, year = {2010}, note = {cited By 0}, pages = {185-190}, abstract = {We propose a Hybrid System for dynamic environments, where a "Multiple Neural Networks" system works with Bayes Rule. One or more neural nets may no longer be able to properly operate, due to partial changes in some of the characteristics of the individuals. We assume that each expert network has a reliability factor that can be dynamically re-evaluated on the ground of the global recognition operated by the overall group. Since the net{\textquoteright}s degree of reliability is defined as the probability that the net is giving the desired output, in case of conflicts between the outputs of the various nets the re-evaluation of their degrees of reliability can be simply performed on the basis of the Bayes Rule. The new vector of reliability will be used for making the final choice, by applying two algorithms, the "Inclusion based" and the "Weighted" one over all the maximally consistent subsets of the global outcome. {\textcopyright} 2010 IEEE.}, doi = {10.1109/HIS.2010.5601070}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-78650122885\&partnerID=40\&md5=c1f15dbf9914a0b618932ba197795fa9}, author = {Dragoni, A.F. and Vallesi, G. and Paola Baldassarri} } @article {Dragoni2010296, title = {An hybrid system for continuous learning}, journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, volume = {6077 LNAI}, number = {PART 2}, year = {2010}, note = {cited By 0}, pages = {296-303}, abstract = {We propose a Multiple Neural Networks system for dynamic environments, where one or more neural nets could no longer be able to properly operate, due to partial changes in some of the characteristics of the individuals. We assume that each expert network has a reliability factor that can be dynamically re-evaluated on the ground of the global recognition operated by the overall group. Since the net{\textquoteright}s degree of reliability is defined as the probability that the net is giving the desired output, in case of conflicts between the outputs of the various nets the re-evaluation of their degrees of reliability can be simply performed on the basis of the Bayes Rule. The new vector of reliability will be used for making the final choice, by applying two algorithms, the Inclusion based and the Weighted one over all the maximally consistent subsets of the global outcome. {\textcopyright} 2010 Springer-Verlag.}, doi = {10.1007/978-3-642-13803-4_37}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-77954587081\&partnerID=40\&md5=623ab72ce6e0ef83d2087d387550b607}, author = {Dragoni, A.F. and Vallesi, G. and Paola Baldassarri and Mazzieri, M.} } @conference {Dragoni2010421, title = {Multiple Neural Networks and Bayesian belief revision for a never-ending unsupervised learning}, booktitle = {Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA{\textquoteright}10}, year = {2010}, note = {cited By 0}, pages = {421-426}, abstract = {A system of Multiple Neural Networks has been proposed to solve the face recognition problem. Our idea is that a set of expert networks specialized to recognize specific parts of face are better than a single network. This is because a single network could no longer be able to correctly recognize the subject when some characteristics partially change. For this purpose we assume that each network has a reliability factor defined as the probability that the network is giving the desired output. In case of conflicts between the outputs of the networks the reliability factor can be dynamically re-evaluated on the base of the Bayes Rrule. The new reliabilities will be used to establish who is the subject. Moreover the network disagreed with the group and specialized to recognize the changed characteristic of the subject will be retrained and then forced to correctly recognize the subject. Then the system is subjected to continuous learning. {\textcopyright} 2010 IEEE.}, doi = {10.1109/ISDA.2010.5687229}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-79851492270\&partnerID=40\&md5=51abe7b48e1259d0bbdbd2e8c498e0b4}, author = {Dragoni, A.F. and Vallesi, G. and Paola Baldassarri} } @article {Bernardini201043, title = {Pixel, object and hybrid classification comparisons}, journal = {Journal of Spatial Science}, volume = {55}, number = {1}, year = {2010}, note = {cited By 3}, pages = {43-54}, abstract = {The choice of the best classification approach for thematic map generation relies on many factors, such as image resolution and minimum mapping unit. The generalized GIS-ready products derived from the results of pixel-based approaches and the availability of higherresolution imagery have directed research towards object-based classification approaches. In this paper we present the superior performance of a hybrid methodology that combines the results of automatic segmentation with the land cover information derived from a pixel classification by means of the Winner Takes All (WTA) algorithm. Land use and land cover results obtained through this hybrid classification approach are compared with those of a One Against All (OAA) object-oriented classification approach. {\textcopyright} 2010 Surveying and Spatial Sciences Institute and Mapping Sciences Institute, Australia.}, doi = {10.1080/14498596.2010.487641}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-80052137947\&partnerID=40\&md5=74b7a4fe82987b5213c27b7315b0f768}, author = {A. Bernardini and Emanuele Frontoni and Eva Savina Malinverni and Adriano Mancini and Anna Nora Tassetti and Primo Zingaretti} } @conference {Raspa2010, title = {Selection of Lithium cells for EV battery pack using self organizing maps}, booktitle = {EVS 2010 - Sustainable Mobility Revolution: 25th World Battery, Hybrid and Fuel Cell Electric Vehicle Symposium and Exhibition}, year = {2010}, note = {cited By 0}, abstract = {A challenging problem in energy storage systems for electric vehicles is the efficiency use of lithium multicell batteries. Because of production tolerances, unbalanced cells can be overstressed during usage leading to the reduction of the available capacity and premature failure of the battery pack. In order to reduce this problem the Universit{\`a} Politecnica delle Marche and FAAM Group S.p.A. developed a method for the selection and classification of homogenous cells to form uniform battery pack using Self Organizing Maps neural networks. Experimental data are collected from a set of LiFePo4 cells tested in FAAM laboratories. The selection considers both experimental data and identified characteristics: Discharge Voltage, Open Circuit Voltage, Total Capacity and identified parameters from Randle{\textquoteright}s equivalent circuit modelling. The State of Charge variability within each selected group of cells has been chosen as the clustering criterion to find the method which gives the best results in terms of homogeneity of the battery. Simulation results consider an experimental EV load profile and show a great reduction of the SOC variability and, consequently, in the balance of the battery pack for all the methods presented compared to random selection. Capacity and discharge voltage based methods give the best results over all.}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84907415017\&partnerID=40\&md5=42dc9ff2c6cfe464e796818859e805ce}, author = {Raspa, P. and Frinconi, L. and Adriano Mancini and Cavalletti, M. and Sauro Longhi and L. Fulimeni and P. Bellesi and Isidori, R.} } @conference {Dragoni2009164, title = {Multiple neural networks system for dynamic environments}, booktitle = {ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications}, year = {2009}, note = {cited By 0}, pages = {164-168}, abstract = {We propose a "Multiple Neural Networks" system for dynamic environments, where one or more neural nets may no longer be able to properly operate, due to sensible partial changes in the characteristics of the individuals. We assume that each expert network has a reliability factor that can be dynamically re-evaluated on the ground of the global recognition operated by the overall group. Since the net{\textquoteright}s "degree of reliability" is defined as "the probability that the net is giving the desired output", in case of conflicts between the outputs of the various nets the re-evaluation of their "degrees of reliability" can be simply performed on the basis of the Bayes Rule. The new vector of reliability will be used for making the final choice, by applying the "Inclusion based" algorithm over all the maximally consistent subsets of the global outcome. Finally, the nets recognized as responsible for the conflicts will be automatically forced to learn about the changes in the individuals{\textquoteright} characteristics and avoid to make the same error in the immediate future. {\textcopyright} 2009 IEEE.}, doi = {10.1109/ISDA.2009.85}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-77949498622\&partnerID=40\&md5=1b4b7bdf4786549e90ad4ae17f59a011}, author = {Dragoni, A.F. and Paola Baldassarri and Vallesi, G. and Mazzieri, M.} } @conference {Frontoni2009, title = {Stability maps for really exploitable automatic classification results}, booktitle = {2009 17th International Conference on Geoinformatics, Geoinformatics 2009}, year = {2009}, note = {cited By 1}, abstract = {The paper describes a new methodology for producing really exploitable results from automatic classification algorithms. The output of these algorithms is usually constituted by an image with each region assigned to one out of n classes. If the end user, on the basis of results obtained from a control set provided with a ground truth, simply knows that classification over the whole dataset can be considered correct at, for example, 85\% (s)he cannot know where correct and erroneously classified regions are really located in the whole dataset. Obviously, the result obtained can be exploited to effectively compute global indexes over the dataset, but it cannot be used as a thematic map. Thus, in addition to the assignment of a class to each region we propose an approach that provides a stability map, a binary image that separates regions (S) classified with high accuracy from those (U) whose classification result should be verified before being used. Two further benefits derive from the construction of the stability map: the control set can be used to set up a good threshold for binarizing the stability map (that is, a threshold by which all regions S are effectively correctly classified); unreliable regions U can help the end user to identify principal causes of (types of regions leading to) misclassification and corresponding (fuzzy, neural, rule based, etc.) approaches to overcome them.}, doi = {10.1109/GEOINFORMATICS.2009.5293443}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-74349085598\&partnerID=40\&md5=9cde6053a2e8199444209988fccd5e2c}, author = {Emanuele Frontoni and A. Bernardini and Eva Savina Malinverni and Adriano Mancini and Primo Zingaretti} } @conference {Iacopino2008364, title = {Artificial neural networks based symbolic gesture interface}, booktitle = {SIGMAP 2008 - Proceedings of the International Conference on Signal Processing and Multimedia Applications}, year = {2008}, note = {cited By 0}, pages = {364-369}, abstract = {The purpose of the developed system is the realization of a gesture recognizer, applied to a user interface. We tried to get fast and easy software for user, without leaving out reliability and using instruments available to common user: a PC and a webcam. The gesture detection is based on well-known artificial vision techniques, as the tracking algorithm by Lucas and Kanade. The paths, opportunely selected, are recognized by a double layered architecture of multilayer perceptrons. The realized system is efficiency and has a good robustness, paying attention to an adequate learning of gesture vocabulary both for the user and for system.}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-55849128216\&partnerID=40\&md5=ddfd2afde9d99702ec8cad5b4c8a5656}, author = {Iacopino, C. and A. Montesanto and Paola Baldassarri and Dragoni, A.F. and Paolo Puliti} } @conference {Montesanto2008356, title = {Capturing the human action semantics using a query-by-example}, booktitle = {SIGMAP 2008 - Proceedings of the International Conference on Signal Processing and Multimedia Applications}, year = {2008}, note = {cited By 0}, pages = {356-363}, abstract = {The paper describes a method for extracting human action semantics in video{\textquoteright}s using queries-by-example.b Here we consider the indexing and the matching problems of content-based human motion data retrieval. The query formulation is based on trajectories that may be easily built or extracted by following relevant points on a video, by a novice user too. The so realized trajectories contain high value of action semantics. The semantic schema is built by splitting a trajectory in time ordered sub-sequences that contain the features of extracted points. This kind of semantic representation allows reducing the search space dimensionality and, being human-oriented, allows a selective recognition of actions that are very similar among them. A neural network system analyzes the video semantic similarity, using a two-layer architecture of multilayer perceptrons, which is able to learn the semantic schema of the actions and to recognize them.}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-55849129652\&partnerID=40\&md5=a8587b1b9833a9ccf64510cc75e426ab}, author = {A. Montesanto and Paola Baldassarri and Dragoni, A.F. and Vallesi, G. and Paolo Puliti} } @article {Baldassarri2007367, title = {Detecting anomalous traffic using statistical discriminator and neural decisional motor}, journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, volume = {4527 LNCS}, number = {PART 1}, year = {2007}, note = {cited By 0}, pages = {367-376}, abstract = {One of the main challenges in the information security concerns the introduction of systems able to identify intrusions. In this ambit this work takes place describing a new Intrusion Detection System based on anomaly approach. We realized a system with a hybrid solution between host-based and network-based approaches, and it consisted of two subsystems: a statistical system and a neural one. The features extracted from the network traffic belong only to the IP Header and their trend allows us detecting through a simple visual inspection if an attack occurred. Really the two-tier neural system has to indicate the status of the system. It classifies the traffic of the monitored host, distinguishing the background traffic from the anomalous one. Besides, a very important aspect is that the system is able to classify different instances of the same attack in the same class, establishing which attack occurs. {\textcopyright} Springer-Verlag Berlin Heidelberg 2007.}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-38149012228\&partnerID=40\&md5=a6b1888f705a83520f222e21f9d88e66}, author = {Paola Baldassarri and A. Montesanto and Paolo Puliti} } @conference {Baldassarri200774, title = {Detecting anomalous traffic using statistical processing and self-organizing maps}, booktitle = {SECRYPT 2007 - International Conference on Security and Cryptography, Proceedings}, year = {2007}, note = {cited By 0}, pages = {74-79}, abstract = {The main idea of the present work is to create a system able to detect intrusions in computer networks. For this purpose we propose a novel intrusion detection system (IDS) based on an anomaly approach. We analyzed the network traffic from (outbound traffic) and towards (inbound traffic) a victim host through another host. Besides we realized an architecture consisted of two subsystems: a statistical subsystem and a neural networks based subsystem. The first elaborates chosen features extracted from the network traffic and it allows determining if an attack occurs through a preliminary visual inspection. The neural subsystem receives in input the output of the statistical subsystem and it has to indicate the status of the monitored host. It classifies the network traffic distinguishing the background traffic from the anomalous one. Moreover the system has to be able to classify different instances of the same attack in the same class, distinguishing in a completely autonomous way different typology of attack.}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-67649764419\&partnerID=40\&md5=9a732b07f49d01bbb12964089390b414}, author = {Paola Baldassarri and A. Montesanto and Paolo Puliti} } @conference {Montesanto2007229, title = {Fingerprints recognition using minutiae extraction: A fuzzy approach}, booktitle = {Proceedings - 14th International conference on Image Analysis and Processing, ICIAP 2007}, year = {2007}, note = {cited By 0}, pages = {229-234}, abstract = {The aim of this paper is to study the fingerprint verification based on local ridge discontinuities features (minutiae) only using grey scale images. We extract minutiae using two algorithms those following ridge lines and then recording ridge endings and bifurcations. Moreover we use a third algorithm able to develop a minutiae verification processing a local area using a neural network ( multilayer perceptron). Fingerprint distortion is filtered using a minutiae whole representation based on regular invariant moments. The results of the three minutiae extraction algorithms are joined during the minutiae pattern matching phase for fingerprint verification. Here we propose a new method of matching that use fuzzy operator to bypass the problem of different numbers of minutiae extracted from the algorithms. Experimental evidences show fingerprint recognition up to 95\%. {\textcopyright} 2007 IEEE.}, doi = {10.1109/ICIAP.2007.4362784}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-48149113403\&partnerID=40\&md5=01f07886247083f3db66c7477c334984}, author = {A. Montesanto and Paola Baldassarri and Vallesi, G. and Guido Tascini} } @article {Montesanto200684, title = {Navigation with memory in a partially observable environment}, journal = {Robotics and Autonomous Systems}, volume = {54}, number = {1}, year = {2006}, note = {cited By 3}, pages = {84-94}, abstract = {The paper presents an architecture that allows the reactive visual navigation via an unsupervised reinforcement learning. This objective is reached using Q-learning and a hierarchical approach to the developed architecture. Using these techniques requires a deviation from the Partially Observable Markov Decision Processes (POMDP) and some innovations: heuristic techniques for generalizing the experience and for treating the partial observability; a technique for the speed adjournment of the Q function; the definition of a special reinforcement policy adequate for learning a complex task without supervision. The result is a satisfactory learning of the navigation assignment in a simulated environment. {\textcopyright} 2005 Elsevier B.V. All rights reserved.}, doi = {10.1016/j.robot.2005.09.015}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-29344460057\&partnerID=40\&md5=a3f0d1229db6d5c8658cd509ca5acf81}, author = {A. Montesanto and Guido Tascini and Paolo Puliti and Paola Baldassarri} } @conference {Borella2005515, title = {A 4-colorable mapping for a class of crosstalk-free permutations in dilated networks for photonic switching}, booktitle = {Proceedings of the 8th International Conference on Telecommunications, ConTEL 2005}, volume = {2}, year = {2005}, note = {cited By 0}, pages = {515-522}, abstract = {In order to reduce the impact of crosstalk in optical switching, dilated architectures can be adopted to build interconnection networks. This approach, that avoids the necessity of optical buffers, is considered here for the development of 4-layered switches, based on the Omega topology. In particular, the correlation existing between the crosstalk-free configurations of the switch and the 4-colorability properties of the correspondent permutation graphs is demonstrated. Then, the theorems presented in this paper allow to define a method to identify either such crosstalk-free configurations, or their relative optimal permutations partitions.}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-33744969321\&partnerID=40\&md5=7b38925238239626cd2d4370d9f1f9e4}, author = {Borella, A. and Cancellieri, G. and Emanuele Frontoni and Pallotta, V.} } @article {Baldassarri2003201, title = {Self-organizing maps versus growing neural gas in a robotic application}, journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, volume = {2687}, year = {2003}, note = {cited By 1}, pages = {201-208}, abstract = {The paper proposes a method for visual based self-localisation of a mobile agent in indoor environment. The images acquired by the camera constitute an implicit topological representation of the environment. The environment is a priori unknown and so the implemented architecture is entirely unsupervised. To compare the performance of some self-organising neural networks, a similar neural network architecture of both Self-Organizing Map (SOM) and Growing Neural Gas (GNG) has been realized. Extensive simulations are provided to characterise the effectiveness of the GNG model in recognition speed, classification tasks and in particular topology preserving as compared to the SOM model. This behaviour depends on the following fact: a network (GNG) that adds nodes into map space can approximate the input space more accurately than a network with a predefined structure and size (SOM). The work shows that the GNG network is able to correctly reconstruct the environment topological map. {\textcopyright} Springer-Verlag Berlin Heidelberg 2003.}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-35248829969\&partnerID=40\&md5=28fe2f7301103d80e28ff664c2a74906}, author = {Paola Baldassarri and Paolo Puliti and A. Montesanto and Guido Tascini} } @conference {Baldassarri2003368, title = {Visual self-localisation using automatic topology construction}, booktitle = {Proceedings - 12th International Conference on Image Analysis and Processing, ICIAP 2003}, year = {2003}, note = {cited By 0}, pages = {368-374}, abstract = {The paper proposes a machine learning method for self-localising a mobile agent, using the images supplied by a single omni-directional camera. The images acquired by the camera may be viewed as an implicit topological representation of the environment. The environment is a priori unknown and the topological representation is derived by unsupervised neural network architecture. The architecture includes a self-organising neural network, and is constituted by a growing neural gas, which is well known for its topology preserving quality. The growth depends on the topology that is not a priori defined, and on the need of discovering it, by the neural network, during the learning. The implemented system is able to recognise correctly the input frames and to reconstruct a topological map of the environment. Each node of the neural network identifies a single zone of the environment and the connections between the nodes correspond to the real space connections in the environment. {\textcopyright} 2003 IEEE.}, doi = {10.1109/ICIAP.2003.1234077}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84890545853\&partnerID=40\&md5=6954a4c9b47cdb3e275eac96afdf95a2}, author = {Paola Baldassarri and Paolo Puliti and A. Montesanto and Guido Tascini} } @conference {Zingaretti2001113, title = {Image segmentation for appearance-based self-localisation}, booktitle = {Proceedings - 11th International Conference on Image Analysis and Processing, ICIAP 2001}, year = {2001}, note = {cited By 4}, pages = {113-118}, abstract = {The paper describes a segmentation technique that well fits to an appearance-based self-localisation. In an appearance-based approach robot positioning is performed without using explicit object models. The choice of the representation of image appearances is fundamental. We use image-domain features, as opposed to interpreted characteristics of the scene, and we adopt feature vectors including both the chromatic attributes of colour sets and their mutual spatial relationships. To obtain the colour sets we perform image segmentation by autothresholding the colour histograms and taking into account what the results are addressed to. The experimental results indicate that the method performs well for a variety of environments. {\textcopyright} 2001 IEEE.}, doi = {10.1109/ICIAP.2001.956994}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-28444487236\&partnerID=40\&md5=bcd769625c20a95b5d9454e37805508a}, author = {Primo Zingaretti and Bossoletti, L.} } @conference {Fiori1999, title = {Efficient architecture for independent component analysis}, booktitle = {Proceedings - IEEE International Symposium on Circuits and Systems}, volume = {5}, year = {1999}, note = {cited By 0}, pages = {V-335-V-338}, abstract = {We present a new independent component analysis technique, based on the information-theoretic approach, implemented by the functional-link network, that allows to separate out mixed independent sub-Gaussian and super-Gaussian source signals. For assessing our theory we present computer simulations performed both on synthetic and real-world data, and compare the performances of the new algorithm with those of the {\textquoteleft}Mixture of Densities{\textquoteright} approach by Xu et al.}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-18544391339\&partnerID=40\&md5=00c2e26050b1438b1cf7de4e2d0f6be0}, author = {Simone Fiori and Paola Baldassarri and Francesco Piazza} } @article {Gaggiotti1991203, title = {Nutritional parameters in subjects aged 60 years and over [PARAMETRI NUTRIZIONALI IN SOGGETTI CON ETA SUPERIORE A 60 ANNI]}, journal = {Rivista Italiana di Nutrizione Parenterale ed Enterale}, volume = {9}, number = {3}, year = {1991}, note = {cited By 1}, pages = {203-210}, abstract = {Nutritional assessment of the elderly presents some difficulties because of the lack of reference values. Moreover chronic age-related diseases can interfere with the physiological nutritional values. Anthropometric (triceps skinfold, arm muscle area, total body muscle mass, fat mass and Body Mass Index = BMI), biochemical (prealbumin, transferrin, ceruloplasmin, total protein, albumin) and immunological (total lymphocytes) parameters were examined in 583 subjects of over 60 years, selected following specific criteria and with BMI < 30. The t-test evaluation of all anthropometric parameters (except BMI) showed a significant difference in both age (p < 0.05) and sex (p < 0.05) values; there were also significant differences in prealbumin and ceruloplasmin levels for both sex (p < 0.05) and age (p < 0.05) and for sex only (p < 0.05) respectively. Comparing our biochemical mean values using the t-test with those from our Analysis Laboratory, we found that the ceruloplasmin and prealbumin mean values for our sample were higher (p < 0.05) than from our Laboratory, while both protein and albumin levels were lower (p < 0.05).}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-0026322716\&partnerID=40\&md5=4ab2812d4bc5a00f2ce4f7bf55d073de}, author = {Gaggiotti, G. and Orlandoni, P. and Ambrosi, S. and Bartolacci, T. and Onorato, G. and Piloni, G. and Amadio, L. and Spazzafumo, L. and Primo Zingaretti and Fabris, N.} } @article {Antonicelli1989155, title = {Evaluation of efficacy and tolerability of the association Captopril 50 mg + hydrochlorothiazide 15 mg in the elderly [VALUTAZIONE DELL{\textquoteright}EFFICACIA E TOLLERABILITA DELL{\textquoteright}ASSOCIAZIONE A DOSE FISSA DI CAPTOPRIL (CPT) 50 MG E IDROCLOROTIAZIDE (HCTZ) 15 MG IN SO}, journal = {European Review for Medical and Pharmacological Sciences}, volume = {11}, number = {2}, year = {1989}, note = {cited By 0}, pages = {155-161}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-0024956512\&partnerID=40\&md5=83288f643078d8c4d318448d3a1b48fc}, author = {Antonicelli, R. and Raffaelli, S. and Bossini, A. and Paciaroni, E. and Primo Zingaretti and Botta, G.F.} }