Papers by Stefano Cagnoni
Applications of Evolutionary Computing, EvoWorkshops 2005: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, and EvoSTOC, Lausanne, Switzerland, March 30 - April 1, 2005, Proceedings Evoworkshops, 2005
... Christine Solnon, University of Lyon I, France Thomas Stiitzle, Darmstadt University of Techn... 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 ...
Comput Med Imaging Graph, 1996
Image reference databases (IRDBs) are a recurrent research topic in medical imaging. Most IRDBs a... 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.
Abstract: A method for automatic diagnostics of images related to pantographs, comprising the ste... 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 electrophoresi... 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.
Applications of Evolutionary Computing, EvoWorkshop 2003: EvoBIO, EvoCOP, EvoIASP, EvoMUSART, EvoROB, and EvoSTIM, Essex, UK, April 14-16, 2003, Proceedings EvoWorkshops, 2003
... Christine Solnon, University of Lyon I, France Thomas Stiitzle, Darmstadt University of Techn... 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 ...
Evoworkshops, 1999
This book consitutes the refereed joint proceedings of the First European Workshop on Evolutionar... 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 ...
Applications of Evolutionary Computing, EvoWorkshops 2008: EvoCOMNET, EvoFIN, EvoHOT, EvoIASP, EvoMUSART, EvoNUM, EvoSTOC, and EvoTransLog, Naples, Italy, March 26-28, 2008. Proceedings EvoWorkshops, 2008
Applications of Evolutionary Computing, EvoWorkshops 2007: EvoCoMnet, EvoFIN, EvoIASP,EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTransLog, Valencia, Spain, April11-13, 2007, Proceedings
ABSTRACT This paper describes the architecture of the robot goal-keeper of the Italian middle siz... more 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 imag... 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 ...
Computer, 2015
ABSTRACT Simultaneously applying hierarchy and recursion enables self-awareness and self-expressi... more 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.
1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228), 1998
Abstract Lean muscle color strongly influences consumer impressions of quality. A bright-reddish ... 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 ...
Computer Assisted Radiology / Computergestützte Radiologie, 1991
[1991] Proceedings Computers in Cardiology, 1991
Abstract The expert system described, based on a neural network architecture, analyzes a subject&... 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%
Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No.00TH8511), 2000
Abstract In robot soccer, as well as in real soccer and in every team effort, coordination betwee... 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
Proceedings of the 8th annual conference on Genetic and evolutionary computation - GECCO '06, 2006
Cooperative coevolution has proven to be a promising technique for solving complex combinatorial ... more Cooperative coevolution has proven to be a promising technique for solving complex combinatorial optimization problems. In this paper, we present four different strategies which involve cooperative coevolution of a genetic program and of a population of constants evolved by a genetic algorithm. The genetic program evolves expressions that solve a problem, while the genetic algorithm provides "good" values for the numeric terminal symbols used by those expressions. Experiments have been performed on three symbolic regression problems and on a "real-world" biomedical application. Results are encouraging and confirm that our coevolutionary algorithms can be used effectively in different domains.
Frontiers in human neuroscience, 2013
In this study we summarize the features that characterize the pre-movements and pre-motor imageri... 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 ...
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Papers by Stefano Cagnoni