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7,727 results on '"Silva, Thiago"'

1. Monomial algebraic and algebroid curves and their Lipschitz saturation over the ground ring

Author

Frühbis-Krüger, Anne and da Silva, Thiago

Subjects
Mathematics - Commutative Algebra
Abstract

In this article, we provide an explicit description of the Lipschitz saturation $A^*_{B,R}$ of a subalgebra $A\subseteq R[[t^{\gamma_1},\ldots, t^{\gamma_n}]]$ over a ring $R$ in terms of the numerical semigroup $\Gamma = \langle\gamma_{1},\ldots,\gamma_{n}\rangle$ with mild conditions imposed on $R$.

Published
2024

2. The contraction property on the relative weak normalization and Lipschitz saturation of algebras

Author

da Silva, Thiago

Subjects
Mathematics - Commutative Algebra, 13B22, 14B07
Abstract

Inspired by the results obtained in \cite{SR}, in this work, we develop techniques to handle the contraction property for weak normalization and Lipschitz saturation of algebras for the following types of algebras: universally injective, integral, radicial, and unramified., Comment: In this version, we include a table of contents and enhance the introduction with additional details. Furthermore, we update the bibliography

Published
2024

3. Newton polyhedra and the integral closure of ideals on toric varieties

Author

Araújo, Amanda S., Dalbelo, Thaís M., and da Silva, Thiago

Subjects
Mathematics - Algebraic Geometry
Abstract

In this work, we extend Saia's results on the characterization of Newton non-degenerate ideals to the context of ideals in $O_{X(S)}$, where $X(S)$ is an affine toric variety defined by the semigroup $S\subset \mathbb{Z}^{n}_{+}$. We explore the relationship between the integral closure of ideals and the Newton polyhedron. We introduce and characterize non-degenerate ideals, showing that their integral closure is generated by specific monomials related to the Newton polyhedron.

Published
2024

4. Synthetic Query Generation using Large Language Models for Virtual Assistants

Author

Sannigrahi, Sonal, Fraga-Silva, Thiago, Oualil, Youssef, and Van Gysel, Christophe

Subjects
Computer Science - Information Retrieval, Computer Science - Artificial Intelligence, Computer Science - Computation and Language
Abstract

Virtual Assistants (VAs) are important Information Retrieval platforms that help users accomplish various tasks through spoken commands. The speech recognition system (speech-to-text) uses query priors, trained solely on text, to distinguish between phonetically confusing alternatives. Hence, the generation of synthetic queries that are similar to existing VA usage can greatly improve upon the VA's abilities -- especially for use-cases that do not (yet) occur in paired audio/text data. In this paper, we provide a preliminary exploration of the use of Large Language Models (LLMs) to generate synthetic queries that are complementary to template-based methods. We investigate whether the methods (a) generate queries that are similar to randomly sampled, representative, and anonymized user queries from a popular VA, and (b) whether the generated queries are specific. We find that LLMs generate more verbose queries, compared to template-based methods, and reference aspects specific to the entity. The generated queries are similar to VA user queries, and are specific enough to retrieve the relevant entity. We conclude that queries generated by LLMs and templates are complementary., Comment: SIGIR '24. The 47th International ACM SIGIR Conference on Research & Development in Information Retrieval

Published
2024
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5. Bubble reachers and uncivil discourse in polarized online public sphere

Author

Kobellarz, Jordan K, Brocic, Milos, Silver, Daniel, and Silva, Thiago H

Subjects
Computer Science - Social and Information Networks, Computer Science - Computers and Society
Abstract

Early optimism saw possibilities for social media to renew democratic discourse, marked by hopes for individuals from diverse backgrounds to find opportunities to learn from and interact with others different from themselves. This optimism quickly waned as social media seemed to breed ideological homophily marked by "filter bubble" or "echo chambers." A typical response to the sense of fragmentation has been to encourage exposure to more cross-partisan sources of information. But do outlets that reach across partisan lines in fact generate more civil discourse? And does the civility of discourse hosted by such outlets vary depending on the political context in which they operate? To answer these questions, we identified bubble reachers, users who distribute content that reaches other users with diverse political opinions in recent presidential elections in Brazil, where populism has deep roots in the political culture, and Canada, where the political culture is comparatively moderate. Given that background, this research studies unexplored properties of content shared by bubble reachers, specifically the quality of conversations and comments it generates. We examine how ideologically neutral bubble reachers differ from ideologically partisan accounts in the level of uncivil discourse they provoke, and explore how this varies in the context of the two countries considered. Our results suggest that while ideologically neutral bubble reachers support less uncivil discourse in Canada, the opposite relationship holds in Brazil. Even non-political content by ideologically neutral bubble reachers elicits a considerable amount of uncivil discourse in Brazil. This indicates that bubble reaching and incivility are moderated by the national political context. Our results complicate the simple hypothesis of a universal impact of neutral bubble reachers across contexts., Comment: 41 pages, 5 figures

Published
2024

6. Machine learning and economic forecasting: the role of international trade networks

Author

Silva, Thiago C., Wilhelm, Paulo V. B., and Amancio, Diego R.

Subjects
Economics - General Economics, Computer Science - Machine Learning, Physics - Physics and Society
Abstract

This study examines the effects of de-globalization trends on international trade networks and their role in improving forecasts for economic growth. Using section-level trade data from nearly 200 countries from 2010 to 2022, we identify significant shifts in the network topology driven by rising trade policy uncertainty. Our analysis highlights key global players through centrality rankings, with the United States, China, and Germany maintaining consistent dominance. Using a horse race of supervised regressors, we find that network topology descriptors evaluated from section-specific trade networks substantially enhance the quality of a country's GDP growth forecast. We also find that non-linear models, such as Random Forest, XGBoost, and LightGBM, outperform traditional linear models used in the economics literature. Using SHAP values to interpret these non-linear model's predictions, we find that about half of most important features originate from the network descriptors, underscoring their vital role in refining forecasts. Moreover, this study emphasizes the significance of recent economic performance, population growth, and the primary sector's influence in shaping economic growth predictions, offering novel insights into the intricacies of economic growth forecasting.

Published
2024

9. A Comprehensive Perspective on Intracranial Pressure Monitoring and Individualized Management in Neurocritical Care: Results of a Survey with Global Experts

Author

Brasil, Sérgio, Godoy, Daniel Agustín, Videtta, Walter, Rubiano, Andrés Mariano, Solla, Davi, Taccone, Fabio Silvio, Robba, Chiara, Rasulo, Frank, Aries, Marcel, Smielewski, Peter, Meyfroidt, Geert, Battaglini, Denise, Hirzallah, Mohammad I., Amorim, Robson, Sampaio, Gisele, Moulin, Fabiano, Deana, Cristian, Picetti, Edoardo, Kolias, Angelos, Hutchinson, Peter, Hawryluk, Gregory W., Czosnyka, Marek, Panerai, Ronney B., Shutter, Lori A., Park, Soojin, Rynkowski, Carla, Paranhos, Jorge, Silva, Thiago H. S., Malbouisson, Luiz M. S., and Paiva, Wellingson S.

Published
2024
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11. Using Graph Neural Networks to Predict Local Culture

Author

Silva, Thiago H and Silver, Daniel

Subjects
Computer Science - Machine Learning, Computer Science - Computers and Society, Computer Science - Social and Information Networks
Abstract

Urban research has long recognized that neighbourhoods are dynamic and relational. However, lack of data, methodologies, and computer processing power have hampered a formal quantitative examination of neighbourhood relational dynamics. To make progress on this issue, this study proposes a graph neural network (GNN) approach that permits combining and evaluating multiple sources of information about internal characteristics of neighbourhoods, their past characteristics, and flows of groups among them, potentially providing greater expressive power in predictive models. By exploring a public large-scale dataset from Yelp, we show the potential of our approach for considering structural connectedness in predicting neighbourhood attributes, specifically to predict local culture. Results are promising from a substantive and methodologically point of view. Substantively, we find that either local area information (e.g. area demographics) or group profiles (tastes of Yelp reviewers) give the best results in predicting local culture, and they are nearly equivalent in all studied cases. Methodologically, exploring group profiles could be a helpful alternative where finding local information for specific areas is challenging, since they can be extracted automatically from many forms of online data. Thus, our approach could empower researchers and policy-makers to use a range of data sources when other local area information is lacking., Comment: 14 pages, 5 figures

Published
2024

12. Towards spatiotemporal integration of bus transit with data-driven approaches

Author

Borges, Júlio, Peixoto, Altieris M., Silva, Thiago H., Munaretto, Anelise, and Luders, Ricardo

Subjects
Computer Science - Social and Information Networks, Computer Science - Computational Engineering, Finance, and Science
Abstract

This study aims to propose an approach for spatiotemporal integration of bus transit, which enables users to change bus lines by paying a single fare. This could increase bus transit efficiency and, consequently, help to make this mode of transportation more attractive. Usually, this strategy is allowed for a few hours in a non-restricted area; thus, certain walking distance areas behave like "virtual terminals." For that, two data-driven algorithms are proposed in this work. First, a new algorithm for detecting itineraries based on bus GPS data and the bus stop location. The proposed algorithm's results show that 90% of the database detected valid itineraries by excluding invalid markings and adding times at missing bus stops through temporal interpolation. Second, this study proposes a bus stop clustering algorithm to define suitable areas for these virtual terminals where it would be possible to make bus transfers outside the physical terminals. Using real-world origin-destination trips, the bus network, including clusters, can reduce traveled distances by up to 50%, making twice as many connections on average., Comment: 20 pages, 16 FIGURES

Published
2024

21. Server-side Rescoring of Spoken Entity-centric Knowledge Queries for Virtual Assistants

Author

Zhang, Youyuan, Gondala, Sashank, Fraga-Silva, Thiago, and Van Gysel, Christophe

Subjects
Computer Science - Computation and Language, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

On-device Virtual Assistants (VAs) powered by Automatic Speech Recognition (ASR) require effective knowledge integration for the challenging entity-rich query recognition. In this paper, we conduct an empirical study of modeling strategies for server-side rescoring of spoken information domain queries using various categories of Language Models (LMs) (N-gram word LMs, sub-word neural LMs). We investigate the combination of on-device and server-side signals, and demonstrate significant WER improvements of 23%-35% on various entity-centric query subpopulations by integrating various server-side LMs compared to performing ASR on-device only. We also perform a comparison between LMs trained on domain data and a GPT-3 variant offered by OpenAI as a baseline. Furthermore, we also show that model fusion of multiple server-side LMs trained from scratch most effectively combines complementary strengths of each model and integrates knowledge learned from domain-specific data to a VA ASR system.

Published
2023

22. Neural Language Model Pruning for Automatic Speech Recognition

Author

Emili, Leonardo, Fraga-Silva, Thiago, Pusateri, Ernest, Nußbaum-Thom, Markus, and Oualil, Youssef

Subjects
Computer Science - Machine Learning, Computer Science - Computation and Language
Abstract

We study model pruning methods applied to Transformer-based neural network language models for automatic speech recognition. We explore three aspects of the pruning frame work, namely criterion, method and scheduler, analyzing their contribution in terms of accuracy and inference speed. To the best of our knowledge, such in-depth analyses on large-scale recognition systems has not been reported in the literature. In addition, we propose a variant of low-rank approximation suitable for incrementally compressing models, and delivering multiple models with varied target sizes. Among other results, we show that a) data-driven pruning outperforms magnitude-driven in several scenarios; b) incremental pruning achieves higher accuracy compared to one-shot pruning, especially when targeting smaller sizes; and c) low-rank approximation presents the best trade-off between size reduction and inference speed-up for moderate compression., Comment: 8 pages, 3 figures

Published
2023

24. The biogeography of the Amazonian tree flora

Author

Luize, Bruno Garcia, Tuomisto, Hanna, Ekelschot, Robin, Dexter, Kyle G., Amaral, Iêda L. do, Coelho, Luiz de Souza, Matos, Francisca Dionízia de Almeida, Lima Filho, Diógenes de Andrade, Salomão, Rafael P., Wittmann, Florian, Castilho, Carolina V., Carim, Marcelo de Jesus Veiga, Guevara, Juan Ernesto, Phillips, Oliver L., Magnusson, William E., Sabatier, Daniel, Cardenas Revilla, Juan David, Molino, Jean-François, Irume, Mariana Victória, Martins, Maria Pires, Guimarães, José Renan da Silva, Ramos, José Ferreira, Bánki, Olaf S., Piedade, Maria Teresa Fernandez, Cárdenas López, Dairon, Pitman, Nigel C. A., Demarchi, Layon O., Schöngart, Jochen, de Leão Novo, Evlyn Márcia Moraes, Núñez Vargas, Percy, Silva, Thiago Sanna Freire, Venticinque, Eduardo Martins, Manzatto, Angelo Gilberto, Reis, Neidiane Farias Costa, Terborgh, John, Casula, Katia Regina, Honorio Coronado, Euridice N., Mendoza, Abel Monteagudo, Montero, Juan Carlos, Costa, Flávia R. C., Feldpausch, Ted R., Quaresma, Adriano Costa, Castaño Arboleda, Nicolás, Zartman, Charles Eugene, Killeen, Timothy J., Marimon, Beatriz S., Marimon, Ben Hur, Vasquez, Rodolfo, Mostacedo, Bonifacio, Assis, Rafael L., Baraloto, Chris, do Amaral, Dário Dantas, Engel, Julien, Petronelli, Pascal, Castellanos, Hernán, de Medeiros, Marcelo Brilhante, Simon, Marcelo Fragomeni, Andrade, Ana, Camargo, José Luís, Laurance, William F., Laurance, Susan G. W., Rincón, Lorena Maniguaje, Schietti, Juliana, Sousa, Thaiane R., Mori, Gisele Biem, Farias, Emanuelle de Sousa, Lopes, Maria Aparecida, Magalhães, José Leonardo Lima, Nascimento, Henrique Eduardo Mendonça, de Queiroz, Helder Lima, Vasconcelos, Caroline C., Aymard C, Gerardo A., Brienen, Roel, Stevenson, Pablo R., Araujo-Murakami, Alejandro, Cintra, Bruno Barçante Ladvocat, Baker, Tim R., Feitosa, Yuri Oliveira, Mogollón, Hugo F., Duivenvoorden, Joost F., Peres, Carlos A., Silman, Miles R., Ferreira, Leandro Valle, Lozada, José Rafael, Comiskey, James A., de Toledo, José Julio, Damasco, Gabriel, Dávila, Nállarett, Draper, Freddie C., García-Villacorta, Roosevelt, Lopes, Aline, Vicentini, Alberto, Valverde, Fernando Cornejo, Alonso, Alfonso, Arroyo, Luzmila, Dallmeier, Francisco, Gomes, Vitor H. F., Jimenez, Eliana M., Neill, David, Peñuela Mora, Maria Cristina, Noronha, Janaína Costa, de Aguiar, Daniel P. P., Barbosa, Flávia Rodrigues, Bredin, Yennie K., Carpanedo, Rainiellen de Sá, Carvalho, Fernanda Antunes, Souza, Fernanda Coelho de, Feeley, Kenneth J., Gribel, Rogerio, Haugaasen, Torbjørn, Hawes, Joseph E., Pansonato, Marcelo Petratti, Pipoly, III, John J., Paredes, Marcos Ríos, Rodrigues, Domingos de Jesus, Barlow, Jos, Berenguer, Erika, da Silva, Izaias Brasil, Ferreira, Maria Julia, Ferreira, Joice, Fine, Paul V. A., Guedes, Marcelino Carneiro, Levis, Carolina, Licona, Juan Carlos, Villa Zegarra, Boris Eduardo, Vos, Vincent Antoine, Cerón, Carlos, Durgante, Flávia Machado, Fonty, Émile, Henkel, Terry W., Householder, John Ethan, Huamantupa-Chuquimaco, Isau, Silveira, Marcos, Stropp, Juliana, Thomas, Raquel, Daly, Doug, Milliken, William, Molina, Guido Pardo, Pennington, Toby, Vieira, Ima Célia Guimarães, Albuquerque, Bianca Weiss, Campelo, Wegliane, Fuentes, Alfredo, Klitgaard, Bente, Pena, José Luis Marcelo, Tello, J. Sebastián, Vriesendorp, Corine, Chave, Jerome, Di Fiore, Anthony, Hilário, Renato Richard, Pereira, Luciana de Oliveira, Phillips, Juan Fernando, Rivas-Torres, Gonzalo, van Andel, Tinde R., von Hildebrand, Patricio, Balee, William, Barbosa, Edelcilio Marques, Bonates, Luiz Carlos de Matos, Dávila Doza, Hilda Paulette, Zárate Gómez, Ricardo, Gonzales, Therany, Gallardo Gonzales, George Pepe, Hoffman, Bruce, Junqueira, André Braga, Malhi, Yadvinder, Miranda, Ires Paula de Andrade, Pinto, Linder Felipe Mozombite, Prieto, Adriana, Rudas, Agustín, Ruschel, Ademir R., Silva, Natalino, Vela, César I. A., Zent, Stanford, Zent, Egleé L., Endara, María José, Cano, Angela, Carrero Márquez, Yrma Andreina, Correa, Diego F., Costa, Janaina Barbosa Pedrosa, Monteiro Flores, Bernardo, Galbraith, David, Holmgren, Milena, Kalamandeen, Michelle, Lobo, Guilherme, Torres Montenegro, Luis, Nascimento, Marcelo Trindade, Oliveira, Alexandre A., Pombo, Maihyra Marina, Ramirez-Angulo, Hirma, Rocha, Maira, Scudeller, Veridiana Vizoni, Umaña, Maria Natalia, van der Heijden, Geertje, Vilanova Torre, Emilio, Vargas, Tony Mori, Ahuite Reategui, Manuel Augusto, Baider, Cláudia, Balslev, Henrik, Cárdenas, Sasha, Casas, Luisa Fernanda, Farfan-Rios, William, Ferreira, Cid, Linares-Palomino, Reynaldo, Mendoza, Casimiro, Mesones, Italo, Parada, Germaine Alexander, Torres-Lezama, Armando, Urrego Giraldo, Ligia Estela, Villarroel, Daniel, Zagt, Roderick, Alexiades, Miguel N., de Oliveira, Edmar Almeida, Fortier, Riley P., Garcia-Cabrera, Karina, Hernandez, Lionel, Palacios Cuenca, Walter, Pansini, Susamar, Pauletto, Daniela, Ramirez Arevalo, Freddy, Sampaio, Adeilza Felipe, Valderrama Sandoval, Elvis H., Valenzuela Gamarra, Luis, Hirota, Marina, Palma-Silva, Clarisse, and ter Steege, Hans

Published
2024
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25. Mosquito salivary apyrase regulates blood meal hemostasis and facilitates malaria parasite transmission

Author

Pala, Zarna Rajeshkumar, Alves e Silva, Thiago Luiz, Minai, Mahnaz, Crews, Benjamin, Patino-Martinez, Eduardo, Carmona-Rivera, Carmelo, Valenzuela Leon, Paola Carolina, Martin-Martin, Ines, Flores-Garcia, Yevel, Cachau, Raul E., Muslinkina, Liya, Gittis, Apostolos G., Srivastava, Naman, Garboczi, David N., Alves, Derron A., Kaplan, Mariana J., Fischer, Elizabeth, Calvo, Eric, and Vega-Rodriguez, Joel

Published
2024
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26. The recombinant l-lysine α-oxidase from the fungus Trichoderma harzianum promotes apoptosis and necrosis of leukemia CD34 + hematopoietic cells

Author

Costa, Mariana do Nascimento, Silva, Thiago Aparecido, Guimarães, Dimitrius Santiago Passos Simões Fróes, Ricci-Azevedo, Rafael, Teixeira, Felipe Roberti, Silveira, Leonardo Reis, Gomes, Marcelo Damário, Faça, Vítor Marcel, de Oliveira, Eduardo Brandt, Calado, Rodrigo T., and Silva, Roberto N.

Published
2024
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29. Some remarks about $\rho$-regularity for real analytic maps

Author

Ribeiro, Maico, Santamaria, Ivan, and da Silva, Thiago

Subjects
Mathematics - Differential Geometry
Abstract

In this paper, we discuss the concept of $\rho$-regularity of analytic map germs and its close relationship with the existence of locally trivial smooth fibrations, known as the Milnor fibrations. The presence of a Thom regular stratification or the Milnor condition (b) at the origin, indicates the transversality of the fibers of the map G with respect to the levels of a function $\rho$, which guarantees $\rho$-regularity. Consequently, both conditions are crucial for the presence of open book structures and the Milnor fibrations. The work aims to provide a comprehensive overview of the main results concerning the existence of Thom regular stratifications and the Milnor condition (b) for germs of analytic maps. It presents strategies and criteria to identify and ensure these regularity conditions and discusses situations where they may not be satisfied. The goal is to understand the presence and limitations of these conditions in various contexts.

Published
2023
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30. The generic equivalence among the Lipschitz saturation of a sheaf of modules

Author

Gaffney, Terence and da Silva, Thiago

Subjects
Mathematics - Commutative Algebra, Mathematics - Algebraic Geometry
Abstract

In this work, we extend the concept of the Lipschitz saturation of an ideal to the context of modules in some different ways, and we prove they are generically equivalent., Comment: arXiv admin note: substantial text overlap with arXiv:2012.12239

Published
2023
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31. Os olhares sociais acerca da prática do ato infracional: reflexões éticas para o tempo presente = The social looks on practice of the infractional act: ethical reflections for the present time

Author

Silva, Thiago Loreto Garcia da and Lehfeld, Neide Aparecida de Souza

Subjects
serviço social, assistência social, violência, adolescentes e sociedade, medidas socioeducativas, ética, delinquência juvenil, menores - criminalidade, Social sciences (General), H1-99
Abstract

O atual cenário de violência instalado na sociedade e o envolvimento de crianças e adolescentes chamam a atenção para uma questão importante: o debate acerca do ato infracional. As discussões que o norteia partem do pressuposto de que o adolescente deve ser punido igualmente ao adulto; que o Estatuto da Criança e do Adolescente (ECA) fortaleceu a proteção ao jovem “bandido”, levando-o à impunidade e acentuando os índices da criminalidade juvenil. Percebe-se uma crise ética quando se discute adolescência, pobreza, violência e ato infracional, nos levando a essa reflexão que se mostra oportuna e desafiadora no tempo presente

Published
2015

34. One sixth of Amazonian tree diversity is dependent on river floodplains

Author

Householder, John Ethan, Wittmann, Florian, Schöngart, Jochen, Piedade, Maria Teresa Fernandez, Junk, Wolfgang J., Latrubesse, Edgardo Manuel, Quaresma, Adriano Costa, Demarchi, Layon O., de S. Lobo, Guilherme, Aguiar, Daniel P. P. de, Assis, Rafael L., Lopes, Aline, Parolin, Pia, Leão do Amaral, Iêda, Coelho, Luiz de Souza, de Almeida Matos, Francisca Dionízia, Lima Filho, Diógenes de Andrade, Salomão, Rafael P., Castilho, Carolina V., Guevara-Andino, Juan Ernesto, Carim, Marcelo de Jesus Veiga, Phillips, Oliver L., Cárdenas López, Dairon, Magnusson, William E., Sabatier, Daniel, Revilla, Juan David Cardenas, Molino, Jean-François, Irume, Mariana Victória, Martins, Maria Pires, Guimarães, José Renan da Silva, Ramos, José Ferreira, Rodrigues, Domingos de Jesus, Bánki, Olaf S., Peres, Carlos A., Pitman, Nigel C. A., Hawes, Joseph E., Almeida, Everton José, Barbosa, Luciane Ferreira, Cavalheiro, Larissa, dos Santos, Márcia Cléia Vilela, Luize, Bruno Garcia, Novo, Evlyn Márcia Moraes de Leão, Núñez Vargas, Percy, Silva, Thiago Sanna Freire, Venticinque, Eduardo Martins, Manzatto, Angelo Gilberto, Reis, Neidiane Farias Costa, Terborgh, John, Casula, Katia Regina, Costa, Flávia R. C., Honorio Coronado, Euridice N., Monteagudo Mendoza, Abel, Montero, Juan Carlos, Feldpausch, Ted R., Aymard C, Gerardo A., Baraloto, Chris, Castaño Arboleda, Nicolás, Engel, Julien, Petronelli, Pascal, Zartman, Charles Eugene, Killeen, Timothy J., Rincón, Lorena Maniguaje, Marimon, Beatriz S., Marimon-Junior, Ben Hur, Schietti, Juliana, Sousa, Thaiane R., Vasquez, Rodolfo, Mostacedo, Bonifacio, Dantas do Amaral, Dário, Castellanos, Hernán, Medeiros, Marcelo Brilhante de, Simon, Marcelo Fragomeni, Andrade, Ana, Camargo, José Luís, Laurance, William F., Laurance, Susan G. W., Farias, Emanuelle de Sousa, Lopes, Maria Aparecida, Magalhães, José Leonardo Lima, Mendonça Nascimento, Henrique Eduardo, Queiroz, Helder Lima de, Brienen, Roel, Stevenson, Pablo R., Araujo-Murakami, Alejandro, Baker, Tim R., Cintra, Bruno Barçante Ladvocat, Feitosa, Yuri Oliveira, Mogollón, Hugo F., Noronha, Janaína Costa, Barbosa, Flávia Rodrigues, de Sá Carpanedo, Rainiellen, Duivenvoorden, Joost F., Silman, Miles R., Ferreira, Leandro Valle, Levis, Carolina, Lozada, José Rafael, Comiskey, James A., Draper, Freddie C., Toledo, José Julio de, Damasco, Gabriel, Dávila, Nállarett, García-Villacorta, Roosevelt, Vicentini, Alberto, Cornejo Valverde, Fernando, Alonso, Alfonso, Arroyo, Luzmila, Dallmeier, Francisco, Gomes, Vitor H. F., Jimenez, Eliana M., Neill, David, Peñuela Mora, Maria Cristina, Carvalho, Fernanda Antunes, Coelho de Souza, Fernanda, Feeley, Kenneth J., Gribel, Rogerio, Pansonato, Marcelo Petratti, Ríos Paredes, Marcos, Barlow, Jos, Berenguer, Erika, Dexter, Kyle G., Ferreira, Joice, Fine, Paul V. A., Guedes, Marcelino Carneiro, Huamantupa-Chuquimaco, Isau, Licona, Juan Carlos, Pennington, Toby, Villa Zegarra, Boris Eduardo, Vos, Vincent Antoine, Cerón, Carlos, Fonty, Émile, Henkel, Terry W., Maas, Paul, Pos, Edwin, Silveira, Marcos, Stropp, Juliana, Thomas, Raquel, Daly, Doug, Milliken, William, Pardo Molina, Guido, Vieira, Ima Célia Guimarães, Albuquerque, Bianca Weiss, Campelo, Wegliane, Emilio, Thaise, Fuentes, Alfredo, Klitgaard, Bente, Marcelo Pena, José Luis, Souza, Priscila F., Tello, J. Sebastián, Vriesendorp, Corine, Chave, Jerome, Di Fiore, Anthony, Hilário, Renato Richard, Pereira, Luciana de Oliveira, Phillips, Juan Fernando, Rivas-Torres, Gonzalo, van Andel, Tinde R., von Hildebrand, Patricio, Balee, William, Barbosa, Edelcilio Marques, Bonates, Luiz Carlos de Matos, Doza, Hilda Paulette Dávila, Gómez, Ricardo Zárate, Gonzales, Therany, Gonzales, George Pepe Gallardo, Hoffman, Bruce, Junqueira, André Braga, Malhi, Yadvinder, Miranda, Ires Paula de Andrade, Mozombite-Pinto, Linder Felipe, Prieto, Adriana, Rudas, Agustín, Ruschel, Ademir R., Silva, Natalino, Vela, César I. A., Zent, Stanford, Zent, Egleé L., Cano, Angela, Carrero Márquez, Yrma Andreina, Correa, Diego F., Costa, Janaina Barbosa Pedrosa, Flores, Bernardo Monteiro, Galbraith, David, Holmgren, Milena, Kalamandeen, Michelle, Nascimento, Marcelo Trindade, Oliveira, Alexandre A., Ramirez-Angulo, Hirma, Rocha, Maira, Scudeller, Veridiana Vizoni, Sierra, Rodrigo, Tirado, Milton, Umaña, Maria Natalia, van der Heijden, Geertje, Vilanova Torre, Emilio, Ahuite Reategui, Manuel Augusto, Baider, Cláudia, Balslev, Henrik, Cárdenas, Sasha, Casas, Luisa Fernanda, Farfan-Rios, William, Ferreira, Cid, Linares-Palomino, Reynaldo, Mendoza, Casimiro, Mesones, Italo, Parada, Germaine Alexander, Torres-Lezama, Armando, Urrego Giraldo, Ligia Estela, Villarroel, Daniel, Zagt, Roderick, Alexiades, Miguel N., de Oliveira, Edmar Almeida, Garcia-Cabrera, Karina, Hernandez, Lionel, Palacios Cuenca, Walter, Pansini, Susamar, Pauletto, Daniela, Ramirez Arevalo, Freddy, Sampaio, Adeilza Felipe, Valderrama Sandoval, Elvis H., Valenzuela Gamarra, Luis, and ter Steege, Hans

Published
2024
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35. Using citation networks to evaluate the impact of text length on the identification of relevant concepts

Author

Tohalino, Jorge A. V., Silva, Thiago C., and Amancio, Diego R.

Subjects
Computer Science - Digital Libraries
Abstract

The identification of the most significant concepts in unstructured data is of critical importance in various practical applications. Despite the large number of methods that have been put forth to extract the main topics of texts, a limited number of studies have probed the impact of the text length on the performance of keyword extraction (KE) methods. In this study, we adopted a network-based approach to evaluate whether keywords extracted from paper abstracts are compatible with keywords extracted from full papers. We employed a community detection method to identify groups of related papers in citation networks. These paper clusters were then employed to extract keywords from abstracts. Our results indicate that while the various community detection methods employed in our KE approach yielded similar levels of accuracy, a correlation analysis revealed that these methods produced distinct keyword lists for each abstract. We also observed that all considered approaches, however, reach low values of accuracy. Surprisingly, text clustering approaches outperformed all citation-based methods. The findings suggest that using different sources of information to extract keywords can lead to significant differences in performance. This effect can play an important role in applications relying upon the identification of relevant concepts.

Published
2023

37. From Gestures to Behaviours: An Empirical Study on Behaviour-Driven Development Scenarios to Support End-User Programming of Collaborative Robots

Author

De la Rosa, Jose Pablo, Solis, Jorge, Nakamori, Koyu, Garcia Ricardez, Gustavo Alfonso, Håkansson, Johan, Sørensen, Anders Stengaard, Rocha Silva, Thiago, Ceccarelli, Marco, Series Editor, Corves, Burkhard, Advisory Editor, Glazunov, Victor, Advisory Editor, Hernández, Alfonso, Advisory Editor, Huang, Tian, Advisory Editor, Jauregui Correa, Juan Carlos, Advisory Editor, Takeda, Yukio, Advisory Editor, Agrawal, Sunil K., Advisory Editor, Romdhane, Lotfi, editor, Mlika, Abdelfattah, editor, Zeghloul, Saïd, editor, Chaker, Abdelbadia, editor, and Laribi, Med Amine, editor

Published
2024
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38. CM-DIR: A Method to Support the Specification of the User’s Dynamic Behavior in Recommender Systems

Author

Martins, Carla A., Dorneles, Carina, Barišić, Ankica, Silva, Thiago Rocha, Winckler, Marco, 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, Lárusdóttir, Marta Kristín, editor, Naqvi, Bilal, editor, Bernhaupt, Regina, editor, Ardito, Carmelo, editor, and Sauer, Stefan, editor

Published
2024
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39. Lignocellulosic Biomass

Author

Silva, Thiago Alves Lopes, Varão, Leandro Henrique Ribeiro, Pasquini, Daniel, Thomas, Sabu, editor, Hosur, Mahesh, editor, Pasquini, Daniel, editor, and Jose Chirayil, Cintil, editor

Published
2024
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40. Leveraging Historical Data to Support User Story Estimation

Author

Duszkiewicz, Aleksander G., Sørensen, Jacob G., Johansen, Niclas, Edison, Henry, Rocha Silva, Thiago, 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, Kadgien, Regine, editor, Jedlitschka, Andreas, editor, Janes, Andrea, editor, Lenarduzzi, Valentina, editor, and Li, Xiaozhou, editor

Published
2024
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41. In-Situ Measurement and Dimensional Error Modeling: A Case Study in a Machine Tool Manufacturer

Author

de Oliveira, Amanda Rossi, de Sousa, Thiago Cannabrava, da Silva, Thiago Rodrigues Campos, Del Conte, Erik Gustavo, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Xu, Jinyang, Editorial Board Member, de Oliveira, Déborah, editor, Ziberov, Maksym, editor, and Rocha Machado, Alisson, editor

Published
2024
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42. 40 anos da revista Psico: uma revisão bibliométrica = The 40 years of the Psico journal: a bibliometric review = 40 años de la revista Psico: una revisión bibliométrica

Author

Pizzinato, Adolfo, Scarparo, Helena Beatriz Kochenborger, Soares, Tárcio, Bezerra, Ana Cláudia Menini, Silva, Thiago Loreto Garcia da, Guimarães, Eduardo Reuwsaat, and Mühlen, Bruna Krimberg von

Subjects
psicologia, bibliometria, revista psico, Psychology, BF1-990
Abstract

O presente estudo examina todos os textos publicados na revista Psico desde o seu primeiro número (1971-2010). Foram analisados 1018 textos entre artigos, relatos de experiência, editoriais e outros. O material foi analisado e organizado a partir de cinco categorias: 1) quantidade de textos por exemplar; 2) idioma dos textos; 3) tipo de textos; 4) enfoque metodológico; e 5) região de origem da publicação. A partir dos resultados, pôde-se traçar uma linha do tempo das principais mudanças editoriais da revista Psico, a caracterização dos autores quanto à quantidade e sexo dos mesmos e a frequência de publicação. Por fim, verificou-se quais as palavras-chave mais frequentes ao longo das publicações do periódico

Published
2011

43. Recurring fibrous dysplasia of anthro maxillary with cranial base invasion

Author

Sousa, Kátia Maria Marabuco de, Costa, Kárlos Jader Sátiro de Mendonça, Holanda, Thiago Ayres, Silva, Thiago Oliveira e, Cunha, Rafael Levi Louchar Silva da, and Soares, Vítor Yamashiro Rocha

Subjects
Anthro maxillary, Cranial base, Fibrous dysplasia, Orbitary invasion, Face sinuses, Medicine, Otorhinolaryngology, RF1-547
Abstract

Introduction: Fibrous dysplasia is an osseous lesion with an unknown etiology. It is characterized by the osseous maturation insufficiency. It may affect any bone, but the affection of craniofacial bones is the most critical for otorhinolaryngology. Maxilla is the most affected facial bone and the orbitary invasion is an uncommon event. The symptoms are unspecific and for its low suspicion and uncommonness, the diagnosis is generally late. The monostotic form presents a slow growth and asymptomatic course and needs to be followed up. The polyostotic type has a progressive behavior and is associated to recurrence and complications. Objective: To present two cases of patients with fibrous dysplasia diagnosis and describe the clinical presentation, radiological findings and the treatment of this pathology. Cases Report: Two cases of fibrous dysplasia are reported, which initially presented unspecific symptomatology, but with characteristic radiologic signs. They were submitted to surgical treatment for resection of the lesions and evolved with frequent recurrences with extensive affection of the facial sinuses, one patient had cranial base invasion and frontal craniotomy was needed for tumoral excision. Final Comments: Fibrous dysplasia is an uncommon osteopathy. The tomography is the choice method for characterization of the tumoral expansion, and helps in the surgical planning. The surgical strategy is indicated for symptomatic lesions, functions alterations or anatomic disorders. This article describes two uncommon manifestations of recurrent fibrous dysplasia with an extensive affection of anthro maxillary, ethmoidal and sphenoid sinuses, in addition to orbitary and cranial base invasion.

Published
2009

44. Literature review: use of xylitol for prevention of acute otitis media

Author

Pereira, Agnes de Fátima Faustino, Silva, Thiago Cruvinel da, Caldana, Magali de Lourdes, Machado, Maria Aparecida de Andrade Moreira, and Buzalaf, Marilia Afonso Rabelo

Subjects
Otitis media, Child, Xylitol, Streptococcus pneumoniae, Medicine, Otorhinolaryngology, RF1-547
Abstract

Introduction: Xylitol is a sugar naturally found in various vegetables and fruits. Studies have demonstrated that the xylitol can be used as new preventive method for acute otitis media (AOM). Objective: To clarify the possible mechanisms of xylitol actions to inhibit the growth of otopathogenic bacteria and to describe researches that contribute for the discussion about the feasibility of the use of this sugar in the prevention of AOM. Method: Literature review based on scientific articles selected by means of the medical databases: MEDLINE, Cochrane, PubMed (MeSH) and Web of Science. Results: Studies have demonstrated the efficacy of xylitol to prevent the AOM, when it is administered five times a day in chewing gum. However, this sugar is not so effective in the prevention of AOM during upper airways infections. Final Comments: Xylitol seems to be an effective strategy in prevention of acute otitis media. However, new studies are necessary to establish ideal doses, frequencies and vehicles for the correct administration of the sugar, which allows for its utilization in the public health system.

Published
2009

45. Variable Attention Masking for Configurable Transformer Transducer Speech Recognition

Author

Swietojanski, Pawel, Braun, Stefan, Can, Dogan, da Silva, Thiago Fraga, Ghoshal, Arnab, Hori, Takaaki, Hsiao, Roger, Mason, Henry, McDermott, Erik, Silovsky, Honza, Travadi, Ruchir, and Zhuang, Xiaodan

Subjects
Electrical Engineering and Systems Science - Audio and Speech Processing, Computer Science - Computation and Language, Computer Science - Sound
Abstract

This work studies the use of attention masking in transformer transducer based speech recognition for building a single configurable model for different deployment scenarios. We present a comprehensive set of experiments comparing fixed masking, where the same attention mask is applied at every frame, with chunked masking, where the attention mask for each frame is determined by chunk boundaries, in terms of recognition accuracy and latency. We then explore the use of variable masking, where the attention masks are sampled from a target distribution at training time, to build models that can work in different configurations. Finally, we investigate how a single configurable model can be used to perform both first pass streaming recognition and second pass acoustic rescoring. Experiments show that chunked masking achieves a better accuracy vs latency trade-off compared to fixed masking, both with and without FastEmit. We also show that variable masking improves the accuracy by up to 8% relative in the acoustic re-scoring scenario., Comment: To appear in ICASSP 2023

Published
2022

46. Optimizing Bilingual Neural Transducer with Synthetic Code-switching Text Generation

Author

Nguyen, Thien, Tran, Nathalie, Deng, Liuhui, da Silva, Thiago Fraga, Radzihovsky, Matthew, Hsiao, Roger, Mason, Henry, Braun, Stefan, McDermott, Erik, Can, Dogan, Swietojanski, Pawel, Verwimp, Lyan, Oyman, Sibel, Arvizo, Tresi, Silovsky, Honza, Ghoshal, Arnab, Martel, Mathieu, Ambati, Bharat Ram, and Ali, Mohamed

Subjects
Computer Science - Sound, Computer Science - Computation and Language, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

Code-switching describes the practice of using more than one language in the same sentence. In this study, we investigate how to optimize a neural transducer based bilingual automatic speech recognition (ASR) model for code-switching speech. Focusing on the scenario where the ASR model is trained without supervised code-switching data, we found that semi-supervised training and synthetic code-switched data can improve the bilingual ASR system on code-switching speech. We analyze how each of the neural transducer's encoders contributes towards code-switching performance by measuring encoder-specific recall values, and evaluate our English/Mandarin system on the ASCEND data set. Our final system achieves 25% mixed error rate (MER) on the ASCEND English/Mandarin code-switching test set -- reducing the MER by 2.1% absolute compared to the previous literature -- while maintaining good accuracy on the monolingual test sets., Comment: 5 pages, 1 figure, submitted to ICASSP 2023, *: equal contributions

Published
2022

47. Consistent patterns of common species across tropical tree communities

Author

Cooper, Declan L. M., Lewis, Simon L., Sullivan, Martin J. P., Prado, Paulo I., ter Steege, Hans, Barbier, Nicolas, Slik, Ferry, Sonké, Bonaventure, Ewango, Corneille E. N., Adu-Bredu, Stephen, Affum-Baffoe, Kofi, de Aguiar, Daniel P. P., Ahuite Reategui, Manuel Augusto, Aiba, Shin-Ichiro, Albuquerque, Bianca Weiss, de Almeida Matos, Francisca Dionízia, Alonso, Alfonso, Amani, Christian A., do Amaral, Dário Dantas, do Amaral, Iêda Leão, Andrade, Ana, de Andrade Miranda, Ires Paula, Angoboy, Ilondea B., Araujo-Murakami, Alejandro, Arboleda, Nicolás Castaño, Arroyo, Luzmila, Ashton, Peter, Aymard C, Gerardo A., Baider, Cláudia, Baker, Timothy R., Balinga, Michael Philippe Bessike, Balslev, Henrik, Banin, Lindsay F., Bánki, Olaf S., Baraloto, Chris, Barbosa, Edelcilio Marques, Barbosa, Flávia Rodrigues, Barlow, Jos, Bastin, Jean-Francois, Beeckman, Hans, Begne, Serge, Bengone, Natacha Nssi, Berenguer, Erika, Berry, Nicholas, Bitariho, Robert, Boeckx, Pascal, Bogaert, Jan, Bonyoma, Bernard, Boundja, Patrick, Bourland, Nils, Boyemba Bosela, Faustin, Brambach, Fabian, Brienen, Roel, Burslem, David F. R. P., Camargo, José Luís, Campelo, Wegliane, Cano, Angela, Cárdenas, Sasha, Cárdenas López, Dairon, de Sá Carpanedo, Rainiellen, Carrero Márquez, Yrma Andreina, Carvalho, Fernanda Antunes, Casas, Luisa Fernanda, Castellanos, Hernán, Castilho, Carolina V., Cerón, Carlos, Chapman, Colin A., Chave, Jerome, Chhang, Phourin, Chutipong, Wanlop, Chuyong, George B., Cintra, Bruno Barçante Ladvocat, Clark, Connie J., Coelho de Souza, Fernanda, Comiskey, James A., Coomes, David A., Cornejo Valverde, Fernando, Correa, Diego F., Costa, Flávia R. C., Costa, Janaina Barbosa Pedrosa, Couteron, Pierre, Culmsee, Heike, Cuni-Sanchez, Aida, Dallmeier, Francisco, Damasco, Gabriel, Dauby, Gilles, Dávila, Nállarett, Dávila Doza, Hilda Paulette, De Alban, Jose Don T., de Assis, Rafael L., De Canniere, Charles, De Haulleville, Thales, de Jesus Veiga Carim, Marcelo, Demarchi, Layon O., Dexter, Kyle G., Di Fiore, Anthony, Din, Hazimah Haji Mohammad, Disney, Mathias I., Djiofack, Brice Yannick, Djuikouo, Marie-Noël K., Do, Tran Van, Doucet, Jean-Louis, Draper, Freddie C., Droissart, Vincent, Duivenvoorden, Joost F., Engel, Julien, Estienne, Vittoria, Farfan-Rios, William, Fauset, Sophie, Feeley, Kenneth J., Feitosa, Yuri Oliveira, Feldpausch, Ted R., Ferreira, Cid, Ferreira, Joice, Ferreira, Leandro Valle, Fletcher, Christine D., Flores, Bernardo Monteiro, Fofanah, Alusine, Foli, Ernest G., Fonty, Émile, Fredriksson, Gabriella M., Fuentes, Alfredo, Galbraith, David, Gallardo Gonzales, George Pepe, Garcia-Cabrera, Karina, García-Villacorta, Roosevelt, Gomes, Vitor H. F., Gómez, Ricardo Zárate, Gonzales, Therany, Gribel, Rogerio, Guedes, Marcelino Carneiro, Guevara, Juan Ernesto, Hakeem, Khalid Rehman, Hall, Jefferson S., Hamer, Keith C., Hamilton, Alan C., Harris, David J., Harrison, Rhett D., Hart, Terese B., Hector, Andy, Henkel, Terry W., Herbohn, John, Hockemba, Mireille B. N., Hoffman, Bruce, Holmgren, Milena, Honorio Coronado, Euridice N., Huamantupa-Chuquimaco, Isau, Hubau, Wannes, Imai, Nobuo, Irume, Mariana Victória, Jansen, Patrick A., Jeffery, Kathryn J., Jimenez, Eliana M., Jucker, Tommaso, Junqueira, André Braga, Kalamandeen, Michelle, Kamdem, Narcisse G., Kartawinata, Kuswata, Kasongo Yakusu, Emmanuel, Katembo, John M., Kearsley, Elizabeth, Kenfack, David, Kessler, Michael, Khaing, Thiri Toe, Killeen, Timothy J., Kitayama, Kanehiro, Klitgaard, Bente, Labrière, Nicolas, Laumonier, Yves, Laurance, Susan G. W., Laurance, William F., Laurent, Félix, Le, Tinh Cong, Le, Trai Trong, Leal, Miguel E., Leão de Moraes Novo, Evlyn Márcia, Levesley, Aurora, Libalah, Moses B., Licona, Juan Carlos, Lima Filho, Diógenes de Andrade, Lindsell, Jeremy A., Lopes, Aline, Lopes, Maria Aparecida, Lovett, Jon C., Lowe, Richard, Lozada, José Rafael, Lu, Xinghui, Luambua, Nestor K., Luize, Bruno Garcia, Maas, Paul, Magalhães, José Leonardo Lima, Magnusson, William E., Mahayani, Ni Putu Diana, Makana, Jean-Remy, Malhi, Yadvinder, Maniguaje Rincón, Lorena, Mansor, Asyraf, Manzatto, Angelo Gilberto, Marimon, Beatriz S., Marimon-Junior, Ben Hur, Marshall, Andrew R, Martins, Maria Pires, Mbayu, Faustin M., de Medeiros, Marcelo Brilhante, Mesones, Italo, Metali, Faizah, Mihindou, Vianet, Millet, Jerome, Milliken, William, Mogollón, Hugo F., Molino, Jean-François, Mohd. Said, Mohd. Nizam, Monteagudo Mendoza, Abel, Montero, Juan Carlos, Moore, Sam, Mostacedo, Bonifacio, Mozombite Pinto, Linder Felipe, Mukul, Sharif Ahmed, Munishi, Pantaleo K. T., Nagamasu, Hidetoshi, Nascimento, Henrique Eduardo Mendonça, Nascimento, Marcelo Trindade, Neill, David, Nilus, Reuben, Noronha, Janaína Costa, Nsenga, Laurent, Núñez Vargas, Percy, Ojo, Lucas, Oliveira, Alexandre A., de Oliveira, Edmar Almeida, Ondo, Fidèle Evouna, Palacios Cuenca, Walter, Pansini, Susamar, Pansonato, Marcelo Petratti, Paredes, Marcos Ríos, Paudel, Ekananda, Pauletto, Daniela, Pearson, Richard G., Pena, José Luis Marcelo, Pennington, R. Toby, Peres, Carlos A., Permana, Andrea, Petronelli, Pascal, Peñuela Mora, Maria Cristina, Phillips, Juan Fernando, Phillips, Oliver L., Pickavance, Georgia, Piedade, Maria Teresa Fernandez, Pitman, Nigel C. A., Ploton, Pierre, Popelier, Andreas, Poulsen, John R., Prieto, Adriana, Primack, Richard B., Priyadi, Hari, Qie, Lan, Quaresma, Adriano Costa, de Queiroz, Helder Lima, Ramirez-Angulo, Hirma, Ramos, José Ferreira, Reis, Neidiane Farias Costa, Reitsma, Jan, Revilla, Juan David Cardenas, Riutta, Terhi, Rivas-Torres, Gonzalo, Robiansyah, Iyan, Rocha, Maira, Rodrigues, Domingos de Jesus, Rodriguez-Ronderos, M. Elizabeth, Rovero, Francesco, Rozak, Andes H., Rudas, Agustín, Rutishauser, Ervan, Sabatier, Daniel, Sagang, Le Bienfaiteur, Sampaio, Adeilza Felipe, Samsoedin, Ismayadi, Satdichanh, Manichanh, Schietti, Juliana, Schöngart, Jochen, Scudeller, Veridiana Vizoni, Seuaturien, Naret, Sheil, Douglas, Sierra, Rodrigo, Silman, Miles R., Silva, Thiago Sanna Freire, da Silva Guimarães, José Renan, Simo-Droissart, Murielle, Simon, Marcelo Fragomeni, Sist, Plinio, Sousa, Thaiane R., de Sousa Farias, Emanuelle, de Souza Coelho, Luiz, Spracklen, Dominick V., Stas, Suzanne M., Steinmetz, Robert, Stevenson, Pablo R., Stropp, Juliana, Sukri, Rahayu S., Sunderland, Terry C. H., Suzuki, Eizi, Swaine, Michael D., Tang, Jianwei, Taplin, James, Taylor, David M., Tello, J. Sebastián, Terborgh, John, Texier, Nicolas, Theilade, Ida, Thomas, Duncan W., Thomas, Raquel, Thomas, Sean C., Tirado, Milton, Toirambe, Benjamin, de Toledo, José Julio, Tomlinson, Kyle W., Torres-Lezama, Armando, Tran, Hieu Dang, Tshibamba Mukendi, John, Tumaneng, Roven D., Umaña, Maria Natalia, Umunay, Peter M., Urrego Giraldo, Ligia Estela, Valderrama Sandoval, Elvis H., Valenzuela Gamarra, Luis, Van Andel, Tinde R., van de Bult, Martin, van de Pol, Jaqueline, van der Heijden, Geertje, Vasquez, Rodolfo, Vela, César I. A., Venticinque, Eduardo Martins, Verbeeck, Hans, Veridiano, Rizza Karen A., Vicentini, Alberto, Vieira, Ima Célia Guimarães, Vilanova Torre, Emilio, Villarroel, Daniel, Villa Zegarra, Boris Eduardo, Vleminckx, Jason, von Hildebrand, Patricio, Vos, Vincent Antoine, Vriesendorp, Corine, Webb, Edward L., White, Lee J. T., Wich, Serge, Wittmann, Florian, Zagt, Roderick, Zang, Runguo, Zartman, Charles Eugene, Zemagho, Lise, Zent, Egleé L., and Zent, Stanford

Published
2024
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49. Changing the Scene: applying four models of social evolution to the scenescape

Author

Silver, Daniel, Silva, Thiago H, and Adler, Patrick

Subjects
Computer Science - Social and Information Networks
Abstract

This paper elaborates a multi-model approach to studying how local scenes change. We refer to this as the "4 D's" of scene change: development, differentiation, defense, and diffusion. Each posits somewhat distinct change processes, and has its own tradition of theory and empirical research, which we briefly review. After summarizing some major trends in scenes and amenities in the US context, for each change model, we present some initial findings, discussing data and methods throughout. Our overall goal is to point toward new research arcs on change models of scenes, and to give some clear examples and directions for how to think about and collect data to understand what makes some scenes change, others not, why, and in what directions., Comment: Published at Journal Wuhan University

Published
2022

50. Assessing User Interface Design Artifacts: A Tool-Supported Behavior-Based Approach

Author

Silva, Thiago Rocha and Winckler, Marco

Subjects
Computer Science - Software Engineering, Computer Science - Human-Computer Interaction
Abstract

Behaviour-Driven Development (BDD) has emerged in the last years as a powerful methodology to specify testable and executable user requirements through stories and scenarios. With the support of external testing frameworks, BDD stories can be used to automatically assess the behavior of a fully functional software system. This article describes a toolset which extends BDD with the aim of providing automated assessment also for user interface design artifacts to ensure their consistency with the user requirements since the beginning of a software project. The approach has been evaluated by exploiting previously specified user requirements for a web system to book business trips. Such requirements gave rise to a set of BDD stories that have been refined and used to automatically assess the consistency of task models, graphical user interface (GUI) prototypes, and final GUIs of the system. The results have shown that our approach was able to identify different types of inconsistencies in the set of analyzed artifacts and consistently keep the semantic traces between them.

Published
2022

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