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27 results on '"Mendonça, Israel"'

2. Semi-automated Disaster Image Tagging While Protecting Privacy: A Case Study

Author

Takashima, Ikuto, Yasuda, Kotaro, Takeuchi, Yukiko, Aritsugi, Masayoshi, Shibayama, Akihiro, Mendonça, Israel, Goos, Gerhard, Series 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, Strauss, Christine, editor, Amagasa, Toshiyuki, editor, Manco, Giuseppe, editor, Kotsis, Gabriele, editor, Tjoa, A Min, editor, and Khalil, Ismail, editor

Published
2024
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3. A Multi-centrality Heuristic for the Bandwidth Reduction Problem

Author

Maues, João, Mendonça, Israel, Amorim, Glauco, Gonzaga de Oliveira, Sanderson L., Pereira, Ana Isabel, Brandão, Diego, González, Pedro Henrique, Hartmanis, Juris, Founding Editor, van Leeuwen, Jan, Series Editor, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Kobsa, Alfred, Series Editor, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Nierstrasz, Oscar, Series Editor, Pandu Rangan, C., Editorial Board Member, Sudan, Madhu, Series Editor, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Vardi, Moshe Y, Series Editor, Goos, Gerhard, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Gervasi, Osvaldo, editor, Murgante, Beniamino, editor, Garau, Chiara, editor, Taniar, David, editor, C. Rocha, Ana Maria A., editor, and Faginas Lago, Maria Noelia, editor

Published
2024
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4. Knowledge Graphs for News Recommendation in a Local News Organization

Author

Igarashi, Kunitoshi, Mendonça, Israel, Aritsugi, Masayoshi, 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, Yang, Xin-She, editor, Sherratt, R. Simon, editor, Dey, Nilanjan, editor, and Joshi, Amit, editor

Published
2024
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7. ImputAnom: Anomaly Detection Framework Using Imputation Methods for Univariate Time Series

Author

Fatyanosa, Tirana Noor, Data, Mahendra, Firdausanti, Neni Alya, Prayoga, Putu Hangga Nan, Mendonça, Israel, Aritsugi, Masayoshi, 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, Delir Haghighi, Pari, editor, Pardede, Eric, editor, Dobbie, Gillian, editor, Yogarajan, Vithya, editor, ER, Ngurah Agus Sanjaya, editor, Kotsis, Gabriele, editor, and Khalil, Ismail, editor

Published
2023
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8. Improving Model Accuracy by Means of Explanations

Author

Yamaguchi, Daiki, Mendonça, Israel, Aritsugi, Masayoshi, 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, Yang, Xin-She, editor, Sherratt, Simon, editor, Dey, Nilanjan, editor, and Joshi, Amit, editor

Published
2023
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12. TAWC: Text Augmentation with Word Contributions for Imbalance Aspect-Based Sentiment Classification.

Author

Santoso, Noviyanti, Mendonça, Israel, and Aritsugi, Masayoshi

Subjects
LANGUAGE models, SENTIMENT analysis, DATA augmentation, PLAYS on words, DEEP learning
Abstract

Text augmentation plays an important role in enhancing the generalizability of language models. However, traditional methods often overlook the unique roles that individual words play in conveying meaning in text and imbalance class distribution, thereby risking suboptimal performance and compromising the model's generalizability. This limitation motivated us to develop a novel technique called Text Augmentation with Word Contributions (TAWC). Our approach tackles this problem in two core steps: Firstly, it employs analytical correlation and semantic similarity metrics to discern the relationships between words and their associated aspect polarities. Secondly, it tailors distinct augmentation strategies to individual words based on their identified functional contributions in the text. Extensive experiments on two aspect-based sentiment analysis datasets demonstrate that the proposed TAWC model significantly improves the classification performances of popular language models, achieving gains of up to 4% compared with the case of data without augmentation, thereby setting a new standard in the field of text augmentation. [ABSTRACT FROM AUTHOR]

Published
2024
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15. Relevance of Negative Links in Graph Partitioning: A Case Study Using Votes From the European Parliament

Author

Mendonça, Israel, Figueiredo, Rosa, Labatut, Vincent, and Michelon, Philippe

Subjects
Computer Science - Social and Information Networks, Computer Science - Robotics, Mathematics - Optimization and Control, Physics - Physics and Society
Abstract

In this paper, we want to study the informative value of negative links in signed complex networks. For this purpose, we extract and analyze a collection of signed networks representing voting sessions of the European Parliament (EP). We first process some data collected by the VoteWatch Europe Website for the whole 7 th term (2009-2014), by considering voting similarities between Members of the EP to define weighted signed links. We then apply a selection of community detection algorithms, designed to process only positive links, to these data. We also apply Parallel Iterative Local Search (Parallel ILS), an algorithm recently proposed to identify balanced partitions in signed networks. Our results show that, contrary to the conclusions of a previous study focusing on other data, the partitions detected by ignoring or considering the negative links are indeed remarkably different for these networks. The relevance of negative links for graph partitioning therefore is an open question which should be further explored., Comment: in 2nd European Network Intelligence Conference (ENIC), Sep 2015, Karlskrona, Sweden

Published
2015
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26. Informative Value of Negative Links for Graph Partitioning, with an application to European Parliament Votes

Author

Mendonça, Israel, Figueiredo, Rosa, Labatut, Vincent, Michelon, Phillipe, Labatut, Vincent, Laboratoire Informatique d'Avignon (LIA), and Centre d'Enseignement et de Recherche en Informatique - CERI-Avignon Université (AU)

Subjects
Signed Graphs, European Parliament, Structural Balance, Graph Partitioning, Parlement Européen, [INFO.INFO-RO] Computer Science [cs]/Operations Research [cs.RO], [INFO.INFO-SI] Computer Science [cs]/Social and Information Networks [cs.SI], [INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO], Réseaux signés, [INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI], Équilibre structurel, Partition de graphe
Abstract

In this paper, we want to study the informative value of negative links in signed complex networks. For this purpose, we extract and study a collection of signed networks representing voting sessions of the European Parliament (EP). We first process some data collected by the VoteWatch Europe Website for the whole 7 th term (2009-2014), by considering voting similarities between Members of the EP to define weighted signed links. We then apply a selection of community detection algorithms, designed to process only positive links, to these data. We also apply Parallel Iterative Local Search (Parallel ILS), an algorithm recently proposed to identify balanced partitions in signed networks. Our results show that, contrary to the conclusions of a previous study focusing on other data, the partitions detected by ignoring or considering the negative links are indeed remarkably different for these networks. The relevance of negative links for graph partitioning therefore is an open question which should be further explored., Dans cet article, nous étudions la valeur informative des liens négatifs propres aux réseaux complexes signés. Pour ce faire, nous extrayons et analysons une collection de réseaux signés représentant des sessions de vote au Parlement Européen (PE). Nous traitons d'abord les données recueillies par le site VoteWatch pour la 7 me législature (2009-2014), en utilisant la similarité des votes entre députés pour déterminer les signes et poids des liens. Nous appliquons ensuite à ces données une sélection d'algorithmes de détection de communautés, conçus pour traiter seulement des liens positifs. Nous faisons de même avec Parallel ILS, un algorithme récemment proposé pour identifier des partitions équilibrées dans des réseaux signés. Nos ré-sultats montrent que, contrairement aux conclusions d'une étude précédente traitant d'autres données, les partitions détectées dans nos réseaux varient remarquablement suivant qu'on con-sidère ou ignore les liens négatifs. La pertinence des liens négatifs dans le contexte du parti-tionnement de graphe est donc une question ouverte, qui mérite d'être explorée plus avant.

Published
2015

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