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320 results on '"Lazzerini, Beatrice"'

2. Integration of Web-Scraped Data in CPM Tools: The Case of Project Sibilla

Author

Bechini, Alessio, Lazzerini, Beatrice, Marcelloni, Francesco, Renda, Alessandro, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Yang, Xin-She, editor, Sherratt, Simon, editor, Dey, Nilanjan, editor, and Joshi, Amit, editor

Published
2021
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6. Artificial Bee Colony Optimization to Reallocate Personnel to Tasks Improving Workplace Safety

Author

Lazzerini, Beatrice, Pistolesi, Francesco, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Nicosia, Giuseppe, editor, Pardalos, Panos, editor, Giuffrida, Giovanni, editor, and Umeton, Renato, editor

Published
2018
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12. Granular Data Regression with Neural Networks

Author

Cimino, Mario G. C. A., Lazzerini, Beatrice, Marcelloni, Francesco, Pedrycz, Witold, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Fanelli, Anna Maria, editor, Pedrycz, Witold, editor, and Petrosino, Alfredo, editor

Published
2011
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19. A Three-Objective Evolutionary Approach to Generate Mamdani Fuzzy Rule-Based Systems

Author

Antonelli, Michela, Ducange, Pietro, Lazzerini, Beatrice, Marcelloni, Francesco, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Corchado, Emilio, editor, Wu, Xindong, editor, Oja, Erkki, editor, Herrero, Álvaro, editor, and Baruque, Bruno, editor

Published
2009
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22. Identification of Takagi-Sugeno Fuzzy Systems Based on Multi-objective Genetic Algorithms

Author

Cococcioni, Marco, Guasqui, Pierluigi, Lazzerini, Beatrice, Marcelloni, Francesco, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Bloch, Isabelle, editor, Petrosino, Alfredo, editor, and Tettamanzi, Andrea G. B., editor

Published
2006
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45. Approaching the ocean color problem using fuzzy rules

Author

Cococcioni, Marco, Corsini, Giovanni, Lazzerini, Beatrice, and Marcelloni, Francesco

Subjects
Fuzzy logic, Sea-water -- Education, Genetic algorithms -- Usage, Fuzzy systems -- Standards, Fuzzy algorithms -- Standards, Fuzzy logic -- Standards, Remote sensing
Abstract

In this paper, we propose a fuzzy logic-based approach which exploits remotely sensed multispectral measurements of the reflected sunlight to estimate the concentration of optically active constituents of the sea water. The relation between the concentrations of interest and the subsurface reflectances is modeled by a set of fuzzy roles extracted automatically from the data through a two-step procedure. First, a compact initial rule base is generated by projecting onto the input variables the clusters produced by a fuzzy clustering algorithm. Then, a genetic algorithm is applied to optimize the rules. Appropriate constraints maintain the semantic properties of the initial model during the genetic evolution. Results of the application of the fuzzy model obtained from data simulated with an ocean color model over the channels of the MEdium Resolution Imaging Spectrometer are shown and discussed. Index Terms--Fuzzy clustering, fuzzy modeling, genetic algorithms, ocean color, remote sensing, TSK-systems.

Published
2004

46. A fuzzy relational clustering algorithm based on a dissimilarity measure extracted from data

Author

Corsini, Paolo, Lazzerini, Beatrice, and Marcelloni, Francesco

Abstract

One of the critical aspects of clustering algorithms is the correct identification of the dissimilarity measure used to drive the partitioning of the data set. The dissimilarity measure induces the cluster shape and therefore determines the success of clustering algorithms. As cluster shapes change from a data set to another, dissimilarity measures should be extracted from data. To this aim, we exploit some pairs of points with known dissimilarity value to teach a dissimilarity relation to a feed-forward neural network. Then, we use the neural dissimilarity measure to guide an unsupervised relational clustering algorithm. Experiments on synthetic data sets and on the Iris data set show that the relational clustering algorithm based on the neural dissimilarity outperforms some popular clustering algorithms (with possible partial supervision) based on spatial dissimilarity. Index Terms--Cluster shape, dissimilarity relation, feed-forward neural networks, fuzzy relational clustering.

Published
2004

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