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308 results on '"Leone, Renato"'

1. Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification

Author

De Leone, Renato, Maggioni, Francesca, and Spinelli, Andrea

Subjects
Computer Science - Machine Learning, Mathematics - Optimization and Control
Abstract

In this paper, we present novel Twin Parametric Margin Support Vector Machine (TPMSVM) models to tackle the problem of multiclass classification. We explore the cases of linear and nonlinear classifiers and propose two possible alternatives for the final decision function. Since real-world observations are plagued by measurement errors and noise, data uncertainties need to be considered in the optimization models. For this reason, we construct bounded-by-norm uncertainty sets around each sample and derive the robust counterpart of deterministic models by means of robust optimization techniques. Finally, we test the proposed TPMSVM methodology on real-world datasets, showing the good performance of the approach.

Published
2023

2. Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB

Author

Santoni, Maria Laura, Raponi, Elena, De Leone, Renato, and Doerr, Carola

Subjects
Computer Science - Machine Learning, Mathematics - Optimization and Control, Statistics - Machine Learning
Abstract

Bayesian Optimization (BO) is a class of black-box, surrogate-based heuristics that can efficiently optimize problems that are expensive to evaluate, and hence admit only small evaluation budgets. BO is particularly popular for solving numerical optimization problems in industry, where the evaluation of objective functions often relies on time-consuming simulations or physical experiments. However, many industrial problems depend on a large number of parameters. This poses a challenge for BO algorithms, whose performance is often reported to suffer when the dimension grows beyond 15 variables. Although many new algorithms have been proposed to address this problem, it is not well understood which one is the best for which optimization scenario. In this work, we compare five state-of-the-art high-dimensional BO algorithms, with vanilla BO and CMA-ES on the 24 BBOB functions of the COCO environment at increasing dimensionality, ranging from 10 to 60 variables. Our results confirm the superiority of BO over CMA-ES for limited evaluation budgets and suggest that the most promising approach to improve BO is the use of trust regions. However, we also observe significant performance differences for different function landscapes and budget exploitation phases, indicating improvement potential, e.g., through hybridization of algorithmic components.

Published
2023

3. A Multiclass Robust Twin Parametric Margin Support Vector Machine with an Application to Vehicles Emissions

Author

De Leone, Renato, Maggioni, Francesca, Spinelli, Andrea, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Nicosia, Giuseppe, editor, Ojha, Varun, editor, La Malfa, Emanuele, editor, La Malfa, Gabriele, editor, Pardalos, Panos M., editor, and Umeton, Renato, editor

Published
2024
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6. Machine Learning Model for Student Drop-Out Prediction Based on Student Engagement

Author

Brezočnik, Lucija, Nalli, Giacomo, De Leone, Renato, Val, Sonia, Podgorelec, Vili, Karakatič, Sašo, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Karabegovic, Isak, editor, Kovačević, Ahmed, editor, and Mandzuka, Sadko, editor

Published
2023
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7. The Use of Infinities and Infinitesimals for Sparse Classification Problems

Author

De Leone, Renato, Egidi, Nadaniela, Fatone, Lorella, Zelinka, Ivan, Series Editor, Adamatzky, Andrew, Series Editor, Chen, Guanrong, Series Editor, Abraham, Ajith, Editorial Board Member, Lucia, Ana, Editorial Board Member, Burguillo, Juan C., Editorial Board Member, Čelikovský, Sergej, Editorial Board Member, Chadli, Mohammed, Editorial Board Member, Corchado, Emilio, Editorial Board Member, Davendra, Donald, Editorial Board Member, Ilachinski, Andrew, Editorial Board Member, Lampinen, Jouni, Editorial Board Member, Middendorf, Martin, Editorial Board Member, Ott, Edward, Editorial Board Member, Pan, Linqiang, Editorial Board Member, Păun, Gheorghe, Editorial Board Member, Richter, Hendrik, Editorial Board Member, Rodriguez-Aguilar, Juan A., Editorial Board Member, Rössler, Otto, Editorial Board Member, Snasel, Vaclav, Editorial Board Member, Sergeyev, Yaroslav D., Editorial Board Member, Vondrák, Ivo, Editorial Board Member, Zenil, Hector, Editorial Board Member, and De Leone, Renato, editor

Published
2022
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8. Nonlinear Optimization: A Brief Overview

Author

De Leone, Renato, Zelinka, Ivan, Series Editor, Adamatzky, Andrew, Series Editor, Chen, Guanrong, Series Editor, Abraham, Ajith, Editorial Board Member, Lucia, Ana, Editorial Board Member, Burguillo, Juan C., Editorial Board Member, Čelikovský, Sergej, Editorial Board Member, Chadli, Mohammed, Editorial Board Member, Corchado, Emilio, Editorial Board Member, Davendra, Donald, Editorial Board Member, Ilachinski, Andrew, Editorial Board Member, Lampinen, Jouni, Editorial Board Member, Middendorf, Martin, Editorial Board Member, Ott, Edward, Editorial Board Member, Pan, Linqiang, Editorial Board Member, Păun, Gheorghe, Editorial Board Member, Richter, Hendrik, Editorial Board Member, Rodriguez-Aguilar, Juan A., Editorial Board Member, Rössler, Otto, Editorial Board Member, Snasel, Vaclav, Editorial Board Member, Sergeyev, Yaroslav D., Editorial Board Member, Vondrák, Ivo, Editorial Board Member, Zenil, Hector, Editorial Board Member, and De Leone, Renato, editor

Published
2022
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9. The Role of grossone in Nonlinear Programming and Exact Penalty Methods

Author

De Leone, Renato, Zelinka, Ivan, Series Editor, Adamatzky, Andrew, Series Editor, Chen, Guanrong, Series Editor, Abraham, Ajith, Editorial Board Member, Lucia, Ana, Editorial Board Member, Burguillo, Juan C., Editorial Board Member, Čelikovský, Sergej, Editorial Board Member, Chadli, Mohammed, Editorial Board Member, Corchado, Emilio, Editorial Board Member, Davendra, Donald, Editorial Board Member, Ilachinski, Andrew, Editorial Board Member, Lampinen, Jouni, Editorial Board Member, Middendorf, Martin, Editorial Board Member, Ott, Edward, Editorial Board Member, Pan, Linqiang, Editorial Board Member, Păun, Gheorghe, Editorial Board Member, Richter, Hendrik, Editorial Board Member, Rodriguez-Aguilar, Juan A., Editorial Board Member, Rössler, Otto, Editorial Board Member, Snasel, Vaclav, Editorial Board Member, Sergeyev, Yaroslav D., Editorial Board Member, Vondrák, Ivo, Editorial Board Member, Zenil, Hector, Editorial Board Member, and De Leone, Renato, editor

Published
2022
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11. BinarySDG: binary sensor data generation with R

Author

Piangerelli, Marco, Rocchetti, Giacomo, Liscio, Alessandro, and De Leone, Renato

Subjects
Computer Science - Other Computer Science
Abstract

The scarcity of Smart Home data is still a pretty big problem, and in a world where the size of a dataset can often make the difference between a poor performance and a good performance for problems related to machine learning projects, this needs to be resolved. But whereas the problem of retrieving real data can't really be resolved, as most of the time the process of installing sensors and retrieving data can be found to be really expensive and time-consuming, we need to find a faster and easier solution, which is where synthetic data comes in. Here we propose BinarySDG (Binary Synthetic Data Generator) as a flexible and easy way to generate synthetic data for binary sensors.

Published
2019

13. Improved Migrating Birds Optimization Algorithm to Solve Hybrid Flowshop Scheduling Problem with Lot-Streaming of Random Breakdown

Author

Wang, Ping, De Leone, Renato, Sang, Hongyan, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Nicosia, Giuseppe, editor, Ojha, Varun, editor, La Malfa, Emanuele, editor, La Malfa, Gabriele, editor, Jansen, Giorgio, editor, Pardalos, Panos M., editor, Giuffrida, Giovanni, editor, and Umeton, Renato, editor

Published
2022
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18. Electre Tri-Machine Learning Approach to the Record Linkage Problem

Author

De Leone, Renato and Minnetti, Valentina

Subjects
Statistics - Machine Learning, Computer Science - Learning
Abstract

In this short paper, the Electre Tri-Machine Learning Method, generally used to solve ordinal classification problems, is proposed for solving the Record Linkage problem. Preliminary experimental results show that, using the Electre Tri method, high accuracy can be achieved and more than 99% of the matches and nonmatches were correctly identified by the procedure.

Published
2015

20. Optimal Cluster Head Rotation for Heterogeneous WSNs

Author

De Leone, Renato, Mostarda, Leonardo, 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, Barolli, Leonard, editor, Amato, Flora, editor, Moscato, Francesco, editor, Enokido, Tomoya, editor, and Takizawa, Makoto, editor

Published
2020
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21. Multi-kernel Covariance Terms in Multi-output Support Vector Machines

Author

Marcelli, Elisa, De Leone, Renato, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Nicosia, Giuseppe, editor, Ojha, Varun, editor, La Malfa, Emanuele, editor, Jansen, Giorgio, editor, Sciacca, Vincenzo, editor, Pardalos, Panos, editor, Giuffrida, Giovanni, editor, and Umeton, Renato, editor

Published
2020
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22. Probiotic SYNBIO ® Blend's Impact on Constipation in Healthy Adults: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Author

Coman, Maria Magdalena, Egidi, Nadaniela, Silvi, Stefania, De Leone, Renato, and Verdenelli, Maria Cristina

Subjects
DIETARY supplements, RANDOMIZED controlled trials, GUT microbiome, WELL-being, PROBIOTICS, CONSTIPATION
Abstract

Aims: Research on probiotics for constipation management is still growing, and plays a crucial role in the definition of a management strategy for bowel wellbeing, constipation, and related outcomes. The present systematic review and meta-analysis of the beneficial effects of the SYNBIO® blend, to consolidate the data from various clinical trials, was conducted. Methods: A literature search using PubMed, Web of Science, and Google Scholar databases was conducted. The search was limited to clinical trials that used the SYNBIO® blend, either as dietary supplements or probiotic-enriched foods. Independently, two reviewers evaluated the trial's quality and extracted all data. A 95% confidence interval (CI) of a weighted mean difference (MD) was used to pool continuous data. For the analysis, Review Manager version 5.4 was used. Results: Seven clinical trials involving a total of 1095 subjects were included in the analysis. Overall, the SYNBIO® blend significantly improved constipation relief by 0.75 (95% CI: 0.31 to 1.19; p = 0.0008) in 52% of the subjects, and significantly increased intestinal regularity by 1.90 compared to the placebo (95% CI: 1.02 to 2.78; p < 0.0001) in more than 60% of individuals. No adverse events were reported. Conclusions: The SYNBIO® blend was found to significantly improve overall constipation, intestinal regularity, abdominal pain, and intestinal cramping. This suggests that people with these specific symptoms could benefit from this probiotic combination. [ABSTRACT FROM AUTHOR]

Published
2024
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23. ELEMENTAL ANALYSIS BY XRF OF COLOR SAMPLES USED BY GIORGIO DE CHIRICO SAMPLED IN THE MASTER'S ATELIER AT THE HOUSE MUSEUM LOCATED IN PIAZZA DI SPAGNA IN ROME.

Author

CAMPANELLI, SIMONE, DE LEONE, RENATO, and ROSELLI, GRAZIELLA

Subjects
*HISTORIC house museums, *PAINTING, *DATABASES, *ELEMENTAL analysis, *PAINTERS
Abstract

The aim of this paper is to analyze numerous materials utilized by the esteemed artist Giorgio de Chirico underwent analysis. These materials are housed in the House Museum of Piazza di Spagna in Rome, where the painter spent the last thirty years of his life, thanks to the resources provided by the Giorgio and Isa de Chirico Foundation. Besides samples of resins and oils, including both pure and mixed varieties, approximately one hundred samples of tube colors were extracted from various boxes used by de Chirico, which are displayed in the Maestro's Atelier. Concurrently, ten paintings, with nearly 220 analysis points (one for every five years spanning from the 1930s to the 1970s), located within the House Museum, underwent analysis as well. The main objective is to establish a correlation between the tube colors utilized by the Master and the colors present in his paintings, aiming to identify significant markers that could serve as references for questions regarding the authenticity of his works. Additionally, the study conducts an in-depth investigation into the artistic technique of the great master, who was known for his penchant for experimenting with personal formulations in utmost secrecy. Furthermore, this study aims to contribute to the analysis of color degradation on canvas exposed to specific environmental conditions, in contrast to the original color preserved within the tube. The intriguing findings that have emerged need to be further enriched in the future through additional comparative analyses on a broader range of paintings and extended to contemporary painters. This endeavor aims to establish a technical-scientific database of reference for scholars of 20th Century painting. [ABSTRACT FROM AUTHOR]

Published
2024
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25. Influence of Different Palatal Morphologies on the Accuracy of Intraoral Scanning of the Edentulous Maxilla : A Three-Dimensional Analysis

Author

Sorrentino, Roberto, Ruggiero, Gennaro, Leone, Renato, Di Mauro, Maria Irene, Cagidiaco, Edoardo Ferrari, Joda, Tim; https://orcid.org/0000-0002-1338-5419, Lo Russo, Lucio, Zarone, Fernando, Sorrentino, Roberto, Ruggiero, Gennaro, Leone, Renato, Di Mauro, Maria Irene, Cagidiaco, Edoardo Ferrari, Joda, Tim; https://orcid.org/0000-0002-1338-5419, Lo Russo, Lucio, and Zarone, Fernando

Abstract

PURPOSE This study investigated the influence of different palatal morphologies on the accuracy of intraoral scanning (TRIOS 4) of edentulous maxillae. METHODS Six typodonts were fabricated for different palatal morphologies with flat (F), medium (M), and deep (D) palates, with palatal wrinkles (W), or smooth palates (S), resulting in six groups: WF, WM, WD and SF, SM, SD. Ten scans were performed for each group; standard tessellation language files obtained were imported into a software to measure trueness and precision in micrometer. Trueness was calculated as the mean of the standard deviation values obtained by superimposing each scan onto the reference scan. Precision was achieved by overlapping each scan with that with the best trueness in the group. Descriptive and post-hoc analyses were conducted. RESULTS The mean values for trueness were as follows: WM=48.7±4.7, WD=161.7±18.4, WF=85.9±16, SM=48.1±2.4, SD=349.9±8.8, and SF=349.1±25.5. The precision values were as follows: WM=46.7±7.3, WD=46.9±9, WF=48.9±6.7, SM=46±2.7, SD=105.9±17.4, SF=72.6±10.8. Significant differences were observed for trueness between SM and SD (P < 0.001), SM and SF (P < 0.001), and WF and SF (P = 0.003); whereas for precision, significant differences were reported between WD and SD (P = 0.015). Regarding trueness and precision, no difference was found between WM and SM (P = 1.0). CONCLUSIONS Medium palatal depth showed the best accuracy. The mean accuracy values were within the clinical acceptability thresholds for all palatal morphologies. The presence of rugae improved the precision of deeper palates and the trueness of flat palates. No differences were observed in the medium palates with or without rugae.

Published
2024

28. Infinite Kernel Extreme Learning Machine

Author

Marcelli, Elisa, De Leone, Renato, Vigo, Daniele, Editor-in-Chief, Agnetis, Alessandro, Series Editor, Amaldi, Edoardo, Series Editor, Guerriero, Francesca, Series Editor, Lucidi, Stefano, Series Editor, Messina, Enza, Series Editor, Sforza, Antonio, Series Editor, Paolucci, Massimo, editor, Sciomachen, Anna, editor, and Uberti, Pierpaolo, editor

Published
2019
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29. How Grossone Can Be Helpful to Iteratively Compute Negative Curvature Directions

Author

De Leone, Renato, Fasano, Giovanni, Roma, Massimo, Sergeyev, Yaroslav D., 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, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Battiti, Roberto, editor, Brunato, Mauro, editor, Kotsireas, Ilias, editor, and Pardalos, Panos M., editor

Published
2019
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30. The use of Grossone in Mathematical Programming and Operations Research

Author

De Cosmis, Sonia and De Leone, Renato

Subjects
Mathematics - Optimization and Control
Abstract

The concepts of infinity and infinitesimal in mathematics date back to anciens Greek and have always attracted great attention. Very recently, a new methodology has been proposed by Sergeyev for performing calculations with infinite and infinitesimal quantities, by introducing an infinite unit of measure expressed by the numeral grossone. An important characteristic of this novel approach is its attention to numerical aspects. In this paper we will present some possible applications and use of grossone in Operations Research and Mathematical Programming. In particular, we will show how the use of grossone can be beneficial in anti--cycling procedure for the well-known simplex method for solving Linear Programming Problems and in defining exact differentiable Penalty Functions in Nonlinear Programming.

Published
2011

33. Implant-Prosthetic Rehabilitation of the Agenesis of Maxillary Lateral Incisors: A 2-Year Prospective Clinical Study with Full Digital Workflow.

Author

Sorrentino, Roberto, Di Mauro, Maria Irene, Ruggiero, Gennaro, Leone, Renato, Ferrari Cagidiaco, Edoardo, Annunziata, Marco, Ferrari, Marco, and Zarone, Fernando

Subjects
THERAPEUTIC use of metals, DENTAL implants, DIGITAL technology, JAW diseases, POSTOPERATIVE care, THREE-dimensional imaging, DENTURES, HYPODONTIA, ORAL hygiene, ORAL mucosa, DESCRIPTIVE statistics, INCISORS, DECIDUOUS teeth, WORKFLOW, LONGITUDINAL method, TOOTH eruption, MASTICATORY muscles, DENTAL occlusion, ORTHODONTIC appliances, KAPLAN-Meier estimator, PROSTHODONTICS, DENTISTRY, QUALITY of life, MAXILLA, PATIENT satisfaction, DATA analysis software, PROSTHESIS design & construction, PSYCHOLOGY of dentists, MEDICAL care costs
Abstract

The main objectives of the present prospective clinical study were to evaluate the survival and success rates of implant-supported zirconia single crowns fabricated with a full digital workflow for the rehabilitation of mono- and bilateral agenesis of maxillary lateral incisors after 2 years of clinical function; biological and technical parameters affecting the prosthetic restorations were recorded, as well as the patient-satisfaction score. Twenty-two patients showing mono- or bilateral agenesis of the maxillary lateral incisors were included in this study, and a total of 30 narrow-diameter implants were inserted. Thirty screw-retained monolithic cubic zirconia single crowns with internal connections were fabricated. Objective outcome evaluations were performed by means of the Functional Implant Prosthodontic Score, whereas the patient-satisfaction score was evaluated using Visual Analog Scales. Descriptive statistics were performed and the Kaplan–Meier analysis was run to analyze time-to-event data. After 2 years of clinical function, the overall FIPS found in the present study was 9.2, whereas the average patient-satisfaction score was 8.7. The Kaplan–Meier analysis at the 2-year follow-up reported a cumulative survival rate of 100% and a cumulative success rate of 93.3%. The implant-prosthetic rehabilitation with a full digital workflow proved to be an effective and reliable procedure for the functional and aesthetic treatment of the agenesis of maxillary lateral incisors in the short-term. Clinical investigations with wider sample populations and longer observational follow-ups could be useful to validate, in the long-term, the clinical outcomes of the present prospective clinical study. [ABSTRACT FROM AUTHOR]

Published
2024
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34. Electre Tri Machine Learning Approach to the Record Linkage

Author

Minnetti, Valentina, De Leone, Renato, Baier, Daniel, Series Editor, Gaul, Wolfgang, Editor-in-Chief, Vichi, Maurizio, Editor-in-Chief, Critchley, Frank, Series Editor, Decker, Reinhold, Series Editor, Diday, Edwin, Series Editor, Greenacre, Michael, Series Editor, Lauro, Carlo Natale, Series Editor, Meulman, Jacqueline, Series Editor, Monari, Paola, Series Editor, Nishisato, Shizuhiko, Series Editor, Ohsumi, Noboru, Series Editor, Opitz, Otto, Series Editor, Ritter, Gunter, Series Editor, Schader, Martin, Series Editor, Weihs, Claus, Editor-in-Chief, Mola, Francesco, editor, and Conversano, Claudio, editor

Published
2018
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42. Preference Queries with Ceteris Paribus Semantics for Linked Data

Author

Rosati, Jessica, Di Noia, Tommaso, Lukasiewicz, Thomas, De Leone, Renato, Maurino, Andrea, 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, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Debruyne, Christophe, editor, Panetto, Hervé, editor, Meersman, Robert, editor, Dillon, Tharam, editor, Weichhart, Georg, editor, An, Yuan, editor, and Ardagna, Claudio Agostino, editor

Published
2015
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46. Six-Month Synbio® Administration Affects Nutritional and Inflammatory Parameters of Older Adults Included in the PROBIOSENIOR Project

Author

Salvesi, Chiara, primary, Silvi, Stefania, additional, Fiorini, Dennis, additional, Alessandroni, Laura, additional, Sagratini, Gianni, additional, Palermo, Francesco Alessandro, additional, De Leone, Renato, additional, Egidi, Nadaniela, additional, Cifani, Carlo, additional, Micioni Di Bonaventura, Maria Vittoria, additional, Amedei, Amedeo, additional, Niccolai, Elena, additional, Scocchera, Francesca, additional, Mannucci, Fausto, additional, Valeriani, Valerio, additional, Malavasi, Marco, additional, Servili, Sara, additional, Casula, Andrea, additional, Cresci, Andrea, additional, Corradetti, Ivano, additional, Coman, Maria Magdalena, additional, and Verdenelli, M. Cristina, additional

Published
2023
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47. The Estimation of the Parameters in Multi-Criteria Classification Problem: The Case of the Electre Tri Method

Author

De Leone, Renato, Minnetti, Valentina, Bock, Hans-Hermann, Editor-in-chief, Gaul, Wolfgang, Editor-in-chief, Baier, Daniel, Series editor, Vichi, Maurizio, Editor-in-chief, Critchley, Frank, Series editor, Decker, Reinhold, Series editor, Diday, Edwin, Series editor, Greenacre, Michael, Series editor, Lauro, Carlo Natale, Series editor, Meulman, Jacqueline, Series editor, Monari, Paola, Series editor, Nishisato, Shizuhiko, Series editor, Ohsumi, Noboru, Series editor, Opitz, Otto, Series editor, Ritter, Gunter, Series editor, Schader, Martin, Series editor, Weihs, Claus, Editor-in-chief, Vicari, Donatella, editor, Okada, Akinori, editor, and Ragozini, Giancarlo, editor

Published
2014
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