Stefano Cagnoni
University of Parma, Department of Computer Engineering, Faculty Member
... Christine Solnon, University of Lyon I, France Thomas Stiitzle, Darmstadt University of Technology, Germany El-ghazali Talbi, Laboratoire d ... of Dortmund, Germany Dario Bianchi, University of Parma, Italy Alberto Broggi, University... more
... Christine Solnon, University of Lyon I, France Thomas Stiitzle, Darmstadt University of Technology, Germany El-ghazali Talbi, Laboratoire d ... of Dortmund, Germany Dario Bianchi, University of Parma, Italy Alberto Broggi, University of Parma, Italy Stefano Cagnoni, University of ...
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Image reference databases (IRDBs) are a recurrent research topic in medical imaging. Most IRDBs are designed to help experienced physicians in diagnostic tasks and require that users have prior extensive knowledge of the field for their... more
Image reference databases (IRDBs) are a recurrent research topic in medical imaging. Most IRDBs are designed to help experienced physicians in diagnostic tasks and require that users have prior extensive knowledge of the field for their use to be fruitful. Therefore, the educational potential of such image collections cannot be exploited thoroughly. In this paper we propose an image-indexing method to extend the functionalities of an existing medical IRDB and allow for its use in educational applications, as well as in computer-assisted diagnosis. Our method, based on the Kahrunen-Leève transform, has been used to develop a content-based search engine for tomographic image databases on which we are presently experimenting and which we aim to integrate into a working radiological IRDB installed at the University of Florence. Results achieved in our preliminary tests are also reported.
Research Interests: Computer Graphics, Biomedical Engineering, Multimedia, Principal Component Analysis, Magnetic Resonance Imaging, and 15 moreTelemedicine, Systems Integration, Software Design, Brain, Humans, Search Engine, Image Indexing, Clinical Sciences, Computer User Interface Design, Information Storage and Retrieval, Medical Image, Image Database, Content based Retrieval, Computer assisted Diagnosis, and Educational Application
Abstract: A method for automatic diagnostics of images related to pantographs, comprising the steps that consist in: capturing, by means of an image capture apparatus located in one of a plurality of image acquisition sites, an image that... more
Abstract: A method for automatic diagnostics of images related to pantographs, comprising the steps that consist in: capturing, by means of an image capture apparatus located in one of a plurality of image acquisition sites, an image that shows a pantograph of a locomotive, the image being taken from an aerial view during the travel of the locomotive, the image comprising the gliding area of a plurality of slippers of the pantograph; identifying, by means of a module for classifying the pantograph model, the model of the pantograph within a ...
ABSTRACT In this paper, a novel texture classification method from two-dimensional electrophoresis gel images is presented. Such a method makes use of textural features that are reduced to a more compact and efficient subset of... more
ABSTRACT In this paper, a novel texture classification method from two-dimensional electrophoresis gel images is presented. Such a method makes use of textural features that are reduced to a more compact and efficient subset of characteristics by means of a Genetic Algorithm-based feature selection technique. Then, the selected features are used as inputs for a classifier, in this case a Support Vector Machine. The accuracy of the proposed method is around 94%, and has shown to yield statistically better performances than the classification based on the entire feature set. We found that the most decisive and representative features for the textural classification of proteins are those related to the second order co-occurrence matrix. This classification step can be very useful in order to discard over-segmented areas after a protein segmentation or identification process.
... Christine Solnon, University of Lyon I, France Thomas Stiitzle, Darmstadt University of Technology, Germany El-ghazali Talbi, Laboratoire d ... of Dortmund, Germany Dario Bianchi, University of Parma, Italy Alberto Broggi, University... more
... Christine Solnon, University of Lyon I, France Thomas Stiitzle, Darmstadt University of Technology, Germany El-ghazali Talbi, Laboratoire d ... of Dortmund, Germany Dario Bianchi, University of Parma, Italy Alberto Broggi, University of Parma, Italy Stefano Cagnoni, University of ...
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This book consitutes the refereed joint proceedings of the First European Workshop on Evolutionary Computation in Image Analysis and Signal Processing, EvoIASP'99 and of the First European Workshop on Evolutionary... more
This book consitutes the refereed joint proceedings of the First European Workshop on Evolutionary Computation in Image Analysis and Signal Processing, EvoIASP'99 and of the First European Workshop on Evolutionary Telecommunications, EuroEcTel'99, held in Göteborg, Sweden in May 1999. The 18 revised full papers presented were carefully reviewed and selected for inclusion in the volume. The book presents state-of-the-art research results applying techniques from evolutionary computing in the specific ...
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ABSTRACT This paper describes the architecture of the robot goal-keeper of the Italian middle size robot team (ART, Azzurra Robot Team) that competed in the RoboCup 1999 competition.
ABSTRACT In this paper we present an approach to the interactive development of programs for image enhancement with Genetic Programming (GP) based on pseudocolour transformations. In our approach the user drives GP by deciding which... more
ABSTRACT In this paper we present an approach to the interactive development of programs for image enhancement with Genetic Programming (GP) based on pseudocolour transformations. In our approach the user drives GP by deciding which individual should be the winner in tournament selection. The presence of the user does not only allow running GP without a fitness function but it also transforms GP into a very efficient search procedure capable of producing effective solutions to real-life problems in only hundreds of ...
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ABSTRACT Simultaneously applying hierarchy and recursion enables self-awareness and self-expression in distributed systems, which can provide greater efficiency and scalability in tasks such as network exploration and message routing.
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Abstract Lean muscle color strongly influences consumer impressions of quality. A bright-reddish pork is sought as an ideal; some variation of color is normal as can be observed if different pork muscles are considered. However, muscle... more
Abstract Lean muscle color strongly influences consumer impressions of quality. A bright-reddish pork is sought as an ideal; some variation of color is normal as can be observed if different pork muscles are considered. However, muscle color changes quite easily, and as a result can be indicative of meat quality. Assessment of meat quality is crucial both in cooked ham and raw ham processing plants. A good meat classification system should allow porks of uniform meat to be processed in a uniform way. This would result in a ...
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Abstract The expert system described, based on a neural network architecture, analyzes a subject's anamnesis and 24-hour blood-pressure monitoring, to diagnose hypertension and give advice about choice, timing, and dosage of... more
Abstract The expert system described, based on a neural network architecture, analyzes a subject's anamnesis and 24-hour blood-pressure monitoring, to diagnose hypertension and give advice about choice, timing, and dosage of the most appropriate treatment. It also includes a set of explanation tools, such as thewhy?'and thewhat if...'functions, which emulate the ones that are typical of symbolic expert systems. Ongoing tests on 50 subjects rated both sensibility and specificity above 90%
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Abstract In robot soccer, as well as in real soccer and in every team effort, coordination between members of a team is a key issue. We describe the coordination strategies that were designed to achieve effective cooperation between a... more
Abstract In robot soccer, as well as in real soccer and in every team effort, coordination between members of a team is a key issue. We describe the coordination strategies that were designed to achieve effective cooperation between a robot goal-keeper and the rest of the ART (Azzurra Robot Team) team that participates in the RoboCup F-2000 (midsize) competitions
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ONE EYE, TWO EYES… HOW MANY EYES?: NOTES AND REFLECTIONS ON VISION SYSTEMS FOR MOBILE ROBOTICS This work was partially supported by ASI (Italian Space Agency) within the grants “Coordination of the cluster Robotic Vision” and “Hybrid Vision System for Long Range Rovering”, and by ENEA (National I...more
In this study we summarize the features that characterize the pre-movements and pre-motor imageries (before imagining the movement) electroencephalography (EEG) data in humans from both Neuroscientists' and Engineers' point of... more
In this study we summarize the features that characterize the pre-movements and pre-motor imageries (before imagining the movement) electroencephalography (EEG) data in humans from both Neuroscientists' and Engineers' point of view. We demonstrate what the brain status is before a voluntary movement and how it has been used in practical applications such as brain computer interfaces (BCIs). Usually, in BCI applications, the focus of study is on the after-movement or motor imagery potentials. However, this study shows that it is possible to develop BCIs based on the before-movement or motor imagery potentials such as the Bereitschaftspotential (BP). Using the pre-movement or pre-motor imagery potentials, we can correctly predict the onset of the upcoming movement, its direction and even the limb that is engaged in the performance. This information can help in designing a more efficient rehabilitation tool as well as BCIs with a shorter response time which appear more natural ...
It is generally agreed that the development of intelligent supports for vehicles and traffic control is assuming world-wide dimensions [1]. Two main fields of development are the production of intelligent infrastructures and intelligent... more
It is generally agreed that the development of intelligent supports for vehicles and traffic control is assuming world-wide dimensions [1]. Two main fields of development are the production of intelligent infrastructures and intelligent vehicles. A recent comparative analysis found that involvement in this research has moved beyond the European Union, United States and Japan to BOW include several other nations that are interested in acquiring or developing such technologies. This field is therefore, highly competitive. ...
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Abstract Ambulatory blood pressure monitoring of 180 clinically healthy adults of both genders is used to investigate and compare ultradian aspects of systolic and diastolic blood pressure as a function of age. Three age categories are... more
Abstract Ambulatory blood pressure monitoring of 180 clinically healthy adults of both genders is used to investigate and compare ultradian aspects of systolic and diastolic blood pressure as a function of age. Three age categories are considered: 20-40, 40-60, and over 60 years of age. results from least-squares spectra of each data series are further examined by analysis of variance. Gender and age effects are found to characterize the waveform of human blood pressure. These effects can be quantified by spectral analysis and may ...
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In this paper we describe a new method, based on a genetic algorithm, for generating good (in terms of minimum distance) linear block error-correcting codes. We offer a detailed description of the algorithm, with particular regard to the... more
In this paper we describe a new method, based on a genetic algorithm, for generating good (in terms of minimum distance) linear block error-correcting codes. We offer a detailed description of the algorithm, with particular regard to the genetic operators (selection, mutation and crossover) which have been specifically adapted to the problem. Preliminary experimental results indicate that the method can be very effective, especially in terms of fast production of good sub-optimal codes.
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Abstract A knowledge base is described that was developed as a result of the cooperation between the Department of Electronic Engineering and the Postgraduate School of Nephrology of the University of Florence, and the Interuniversity... more
Abstract A knowledge base is described that was developed as a result of the cooperation between the Department of Electronic Engineering and the Postgraduate School of Nephrology of the University of Florence, and the Interuniversity Center of Clinical Chronobiology. The structure of the knowledge base can be logically divided into three modules: diagnosis, classification, and therapy of hypertension. The first module is based on the application of chronobiological analysis methods to time series of blood pressure data, ...
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Abstract This paper describes a neural network system to segment magnetic resonance (MR) spin echo images of the brain. Our approach relies on the analysis of MR signal decay and on anatomical knowledge; the system processes two early... more
Abstract This paper describes a neural network system to segment magnetic resonance (MR) spin echo images of the brain. Our approach relies on the analysis of MR signal decay and on anatomical knowledge; the system processes two early echoes of a standard multislice sequence. Three main subsystems can be distinguished. The first implements a model of MR signal decay; it synthesizes a four-echo multiecho sequence, in order to add images characterized by long echo-times to the input sequence. The second subsystem ...
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Abstract Medical Imaging using Bio-Inspired and Soft Computing (MIBISOC) is a Marie Curie Initial Training Network (ITN) within the EU Seventh Framework Programme. MIBISOC is a training programme in which sixteen Early-Stage Researchers... more
Abstract Medical Imaging using Bio-Inspired and Soft Computing (MIBISOC) is a Marie Curie Initial Training Network (ITN) within the EU Seventh Framework Programme. MIBISOC is a training programme in which sixteen Early-Stage Researchers (ESRs) are exposed to a wide variety of Soft Computing (SC) and Bio-Inspired Computing (BC) techniques, and face the challenge of applying them to the different situations and problems which characterize medical image processing tasks. Hence, the main goal of the project is to generate new ...
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Google, Inc. (search). ...
Computing in Science & Engineering applauds its outstanding volunteer reviewers. Drawing on their expert knowledge, these reviewers gave careful scrutiny to each magazine submission, guided authors in improving their manuscripts, and... more
Computing in Science & Engineering applauds its outstanding volunteer reviewers. Drawing on their expert knowledge, these reviewers gave careful scrutiny to each magazine submission, guided authors in improving their manuscripts, and selected the top articles for publication. Their hard work and exacting standards have helped bring the best work in computational science to these pages in 2011, ensuring the consistently high quality of the peer-reviewed articles appearing in each issue. We acknowledge our reviewers here ...
In this paper we compare GPU-based implementations of three metaheuristics: Particle Swarm Optimization, Differential Evolution, and Scatter Search. A GPU-based implementation, obviously, does not change the general properties of the... more
In this paper we compare GPU-based implementations of three metaheuristics: Particle Swarm Optimization, Differential Evolution, and Scatter Search. A GPU-based implementation, obviously, does not change the general properties of the algorithms. As well, we give for granted that GPU-based implementation of both algorithm and fitness function produces a significant speed-up with respect to a sequential implementation. Accordingly, the main goal of this work has been to fairly assess the efficiency of the GPU- ...
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This paper presents a system for detecting and classifying road signs from video sequences in real time. A model-based approach is used in which a prototype of the sign to be detected is transformed and matched to the image using... more
This paper presents a system for detecting and classifying road signs from video sequences in real time. A model-based approach is used in which a prototype of the sign to be detected is transformed and matched to the image using evolutionary techniques. Then, the sign detected in the previous phase is classified by a neural network. Our system makes extensive use of the parallel computing capabilities offered by modern graphics cards and the CUDA architecture for both detection and classification. We compare detection results ...
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UK PubMed Central (UKPMC) is an archive of life sciences journal literature.
ABSTRACT In this paper, a GPU-based implementation of Differential Evolution (DE) and Particle Swarm Optimization (PSO) in CUDA is used to automatically tune the parameters of PSO. The parameters were tuned over a set of 8 problems and... more
ABSTRACT In this paper, a GPU-based implementation of Differential Evolution (DE) and Particle Swarm Optimization (PSO) in CUDA is used to automatically tune the parameters of PSO. The parameters were tuned over a set of 8 problems and then tested over 20 problems to assess the generalization ability of the tuners. We compare the results obtained using such parameters with the 'standard' ones proposed in the literature and the ones obtained by state-of-the-art tuning methods (irace). The results are comparable to the ones suggested for the standard version of PSO (SPSO), and the ones obtained by irace, while the GPU implementation makes tuning time acceptable. To the best of our knowledge, this is the first time that a general purpose library of GPU-based metaheuristics is used to solve this problem, as well as being one of the few cases where DE and PSO are both used as tuners.
Design of Explicitly or Implicitly Parallel Low-resolution Character Recognition Algorithms by Means of Genetic Programming. Created by W.Langdon from gp-bibliography.bib Revision:1.2171. @InProceedings{adorni:2001:wsc6, author =... more
Design of Explicitly or Implicitly Parallel Low-resolution Character Recognition Algorithms by Means of Genetic Programming. Created by W.Langdon from gp-bibliography.bib Revision:1.2171. @InProceedings{adorni:2001:wsc6, author = "Giovanni Adorni and Stefano Cagnoni", title = "Design of Explicitly or Implicitly Parallel Low-resolution Character Recognition Algorithms by Means of Genetic Programming", booktitle = "Soft Computing and Industry ...
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Evolutionary Computation techniques and other metaheuristics have been increasingly used in the last years for solving many real-world tasks that can be formulated as optimization problems. Among their numerous strengths, a major one is... more
Evolutionary Computation techniques and other metaheuristics have been increasingly used in the last years for solving many real-world tasks that can be formulated as optimization problems. Among their numerous strengths, a major one is their natural predisposition to parallelization. In this paper, we introduce libCudaOptimize, an open source library which implements some metaheuristics for continuous optimization: presently Particle Swarm Optimization, Differential Evolution, Scatter Search, and Solis&Wets local search. This library allows users either to apply these metaheuristics directly to their own fitness function or to extend it by implementing their own parallel optimization techniques. The library is written in CUDA-C to make extensive use of parallelization, as allowed by Graphics Processing Units. After describing the library, we consider two practical case studies: the optimization of a fitness function for the automatic localization of anatomical brain structures in histological images, and the parallel implementation of Simulated Annealing as a new module, which extends the library while keeping code compatibility with it, so that the new method can be readily available for future use within the library as an alternative optimization technique.
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ABSTRACT This paper describes the architecture of the robot goal-keeper of the Italian middle size robot team (ART, Azzurra Robot Team) that competed in the RoboCup 1999 competition.
ABSTRACT Evolutionary Algorithms (EAs) and other metaheuristics are greatly affected by the choice of their parameters, not only as regards the precision of the solutions found, but also for repeatability, robustness, speed of... more
ABSTRACT Evolutionary Algorithms (EAs) and other metaheuristics are greatly affected by the choice of their parameters, not only as regards the precision of the solutions found, but also for repeatability, robustness, speed of convergence, and other properties. Most of these performance criteria are often conflicting with one another. In our work, we see the problem of EAs' parameter selection and tuning as a multi-objective optimization problem, in which the criteria to be optimized are precision and speed of convergence. We propose EMOPaT (Evolutionary Multi-Objective Parameter Tuning), a method that uses a well-known multi-objective optimization algorithm (NSGA-II) to find a front of non-dominated parameter sets which produce good results according to these two metrics. By doing so, we can provide three kinds of results: (i) a method that is able to adapt parameters to a single function, (ii) a comparison between Differential Evolution (DE) and Particle Swarm Optimization (PSO) that takes into consideration both precision and speed, and (iii) an insight into how parameters of DE and PSO affect the performance of these EAs on different benchmark functions.
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Abstract. In this paper we describe how task-oriented agent-based robot systems can be based on cooperative processes that can be carried out both within each physical agent (an autonomous robot based on a multi-agent software... more
Abstract. In this paper we describe how task-oriented agent-based robot systems can be based on cooperative processes that can be carried out both within each physical agent (an autonomous robot based on a multi-agent software architecture) and in a community of physical agents that communicate among one another to perform a certain task.