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120 results on '"Peres, Sarajane Marques"'

1. Supporting Interpretability in Predictive Process Monitoring Using Process Maps

Author

Maita, Ana Rocío Cárdenas, Fantinato, Marcelo, Peres, Sarajane Marques, Maggi, Fabrizio Maria, van der Aalst, Wil, Series Editor, Ram, Sudha, Series Editor, Rosemann, Michael, Series Editor, Szyperski, Clemens, Series Editor, Guizzardi, Giancarlo, Series Editor, Filipe, Joaquim, editor, Śmiałek, Michał, editor, Brodsky, Alexander, editor, and Hammoudi, Slimane, editor

Published
2024
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3. Leveraging Sign Language Processing with Formal SignWriting and Deep Learning Architectures

Author

de Almeida Freitas, Fernando, Peres, Sarajane Marques, de Paula Albuquerque, Otávio, Fantinato, Marcelo, 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, Naldi, Murilo C., editor, and Bianchi, Reinaldo A. C., editor

Published
2023
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4. Clustering Analysis and Frequent Pattern Mining for Process Profile Analysis: An Exploratory Study for Object-Centric Event Logs

Author

Faria Junior, Elio Ribeiro, Neubauer, Thais Rodrigues, Fantinato, Marcelo, Peres, Sarajane Marques, van der Aalst, Wil, Series Editor, Ram, Sudha, Series Editor, Rosemann, Michael, Series Editor, Szyperski, Clemens, Series Editor, Guizzardi, Giancarlo, Series Editor, Montali, Marco, editor, Senderovich, Arik, editor, and Weidlich, Matthias, editor

Published
2023
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10. Resource Allocation Optimization in Business Processes Supported by Reinforcement Learning and Process Mining

Author

Neubauer, Thais Rodrigues, da Silva, Valdinei Freire, Fantinato, Marcelo, Peres, Sarajane Marques, 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, Xavier-Junior, João Carlos, editor, and Rios, Ricardo Araújo, editor

Published
2022
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11. Artificial Intelligence, Algorithmic Transparency and Public Policies: The Case of Facial Recognition Technologies in the Public Transportation System of Large Brazilian Municipalities

Author

Brandão, Rodrigo, Oliveira, Cristina, Peres, Sarajane Marques, da Silva Junior, Leôncio, Papp, Marco, Veiga, João Paulo Cândia, Beçak, Rubens, Camargo, Laura, 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, Xavier-Junior, João Carlos, editor, and Rios, Ricardo Araújo, editor

Published
2022
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12. Context-Aware Completion Time Prediction for Business Process Monitoring

Author

Alves, Renato Marinho, Barbieri, Luciana, Stroeh, Kleber, Peres, Sarajane Marques, Madeira, Edmundo Roberto Mauro, 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, Rocha, Alvaro, editor, Adeli, Hojjat, editor, Dzemyda, Gintautas, editor, and Moreira, Fernando, editor

Published
2022
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14. Limits to Surprise in Recommender Systems

Author

de Lima, Andre Paulino and Peres, Sarajane Marques

Subjects
Computer Science - Information Retrieval
Abstract

In this study, we address the challenge of measuring the ability of a recommender system to make surprising recommendations. Although current evaluation methods make it possible to determine if two algorithms can make recommendations with a significant difference in their average surprise measure, it could be of interest to our community to know how competent an algorithm is at embedding surprise in its recommendations, without having to resort to making a direct comparison with another algorithm. We argue that a) surprise is a finite resource in a recommender system, b) there is a limit to how much surprise any algorithm can embed in a recommendation, and c) this limit can provide us with a scale against which the performance of any algorithm can be measured. By exploring these ideas, it is possible to define the concepts of maximum and minimum potential surprise and design a surprise metric called "normalised surprise" that employs these limits to potential surprise. Two experiments were conducted to test the proposed metric. The aim of the first was to validate the quality of the estimates of minimum and maximum potential surprise produced by a greedy algorithm. The purpose of the second experiment was to analyse the behaviour of the proposed metric using the MovieLens dataset. The results confirmed the behaviour that was expected, and showed that the proposed surprise metric is both effective and consistent for differing choices of recommendation algorithms, data representations and distance functions., Comment: 9 pages, conference format

Published
2018

18. Integrated detection and localization of concept drifts in process mining with batch and stream trace clustering support

Author

Sub Process Science, Process Management and Analytics, de Sousa, Rafael Gaspar, Meira Neto, Antonio Carlos, Fantinato, Marcelo, Peres, Sarajane Marques, Reijers, Hajo Alexander, Sub Process Science, Process Management and Analytics, de Sousa, Rafael Gaspar, Meira Neto, Antonio Carlos, Fantinato, Marcelo, Peres, Sarajane Marques, and Reijers, Hajo Alexander

Published
2024

21. A Review of Temporal Aspects of Hand Gesture Analysis Applied to Discourse Analysis and Natural Conversation

Author

Madeo, Renata Cristina Barros, Wagner, Priscilla Koch, and Peres, Sarajane Marques

Subjects
Computer Science - Human-Computer Interaction, Computer Science - Artificial Intelligence
Abstract

Lately, there has been an increasing interest in hand gesture analysis systems. Recent works have employed pattern recognition techniques and have focused on the development of systems with more natural user interfaces. These systems may use gestures to control interfaces or recognize sign language gestures, which can provide systems with multimodal interaction; or consist in multimodal tools to help psycholinguists to understand new aspects of discourse analysis and to automate laborious tasks. Gestures are characterized by several aspects, mainly by movements and sequence of postures. Since data referring to movements or sequences carry temporal information, this paper presents a literature review about temporal aspects of hand gesture analysis, focusing on applications related to natural conversation and psycholinguistic analysis, using Systematic Literature Review methodology. In our results, we organized works according to type of analysis, methods, highlighting the use of Machine Learning techniques, and applications., Comment: 20 pages, International Journal of Computer Science & Information Technology (IJCSIT) Vol 5, No 4, August 2013

Published
2013

22. Applying a Contest to Improve Learning in the Information Systems Development--An Interdisciplinary and Extracurricular Approach

Author

Fantinato, Marcelo, Chaim, Marcos Lordello, Morandini, Marcelo, Peres, Sarajane Marques, and Tuesta, Esteban Fernandez

Abstract

Contests are usually applied in the academic environment to simulate real professional situations that require from the participants a more pro-active attitude than the one shown in conventional coursework. Although they are commonly applied in the scope of a unique course, the contest described here was an extracurricular experience applied in an Information System undergraduate program. The evaluation of the contest is also presented; the objective was to assess the role of the contest as a tool to bring together interdisciplinary subjects, complementary to the traditional disciplinary structure of the program curriculum. The results indicate that a significant portion of the participants noticed increase in their knowledge after the contest, which is verified by statistical tests. However, students from the first stages received more benefits, probably because such students were more motivated and had more available time to be involved in the contest activities.

Published
2011

23. Exploring Coclustering for Serendipity Improvement in Content-Based Recommendation

Author

Silva, Andrei Martins, da Silva Costa, Fernando Henrique, Diaz, Alexandra Katiuska Ramos, Peres, Sarajane Marques, 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, Yin, Hujun, editor, Camacho, David, editor, Novais, Paulo, editor, and Tallón-Ballesteros, Antonio J., editor

Published
2018
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37. A Fractal Fuzzy Approach to Clustering Tendency Analysis

Author

Peres, Sarajane Marques, de Andrade Netto, Márcio Luiz, 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, Bazzan, Ana L. C., editor, and Labidi, Sofiane, editor

Published
2004
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40. Dimensão topologica e mapas auto organizaveis de Kohonen

Author

Peres, Sarajane Marques, Andrade Netto, Marcio Luiz de, 1947-2019, Gomide, Fernando Antonio Campos, Von Zuben, Fernando José, Figueiredo, Mauricio Fernandes, Traina, Agma Juci Machado, Lima, Clodoaldo Aparecido de Moraes, Universidade Estadual de Campinas. Faculdade de Engenharia Elétrica e de Computação, Programa de Pós-Graduação em Engenharia Elétrica, and UNIVERSIDADE ESTADUAL DE CAMPINAS

Subjects
Artificial intelligence, Redes neurais (Computação), Fuzzy approximated reasoning, Fractais, Lógica fuzzy, Fractal theory, Inteligência artificial, Artificial Neural Networks, Self organizing maps
Abstract

Orientador: Marcio Luiz de Andrade Netto Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação Resumo: Redes Neurais Artificiais Auto-Organizáveis (RNA-AO), introduzidas por Teuvo Kohonen na década de 60, constituem uma poderosa ferramenta para análise de dados, mais especificamente para análise de agrupamentos, visualização e aproximação de superfícies. Nesta tese definiu-se uma nova forma para determinar a dimensão topológica do espaço de saídada RNA-AO a partir da análise do conjunto de dados a ser explorado pela rede, realizada como apoio combinado da Teoria de Fractais e do Raciocínio Aproximado Fuzzy. Ao combinar essas duas teorias, concebeu-se uma nova medida de dimensão fractal, a medida de Dimensão Fractal Fuzzy Significativa (DFFS) de um conjunto de dados. Tanto o processo de determinação da DFFS quanto sua aplicação como inferência da dimensãotopológica para a RNA-AO foram validados neste trabalho. O primeiro por meio de sua aplicação ao problema de Tendência a Agrupamentos e o segundo por meio da análise de qualidade das RNAs-AO projetadas segundo tal inferência Abstract: Self Organizing Maps (SOM), introduced by Teuvo Kohonen during the decade of 1960's, is a powerful tool for data analysis, mainly for clustering analysis and surface approximation. In this thesis, we have defined a new way to determine the output space topological dimension of the SOM using the analysis of the dataset to be explored by the map. This analysis is carried out with the combined support of the Fractal Theory and the Fuzzy Approximated Reasoning, deriving a new fractal dimension measure: the Meaningful Fractal Fuzzy Dimension - DFFS (of the Portuguese "Dimensão Fractal:..Fuzzy Significativa"). The DFFS determination process and its application as an inference to the SOM topological dimension have been both validated in this work. The former has been carried out through its application to the Clustering Tendency Analysis and the latter through the quality analysis of the SOM designed by such inference Doutorado Engenharia de Computação Doutor em Engenharia Elétrica

Published
2021

43. Process mining-enabled jurimetrics

Author

Unger, Adriana Jacoto, primary, Neto, José Francisco dos Santos, additional, Fantinato, Marcelo, additional, Peres, Sarajane Marques, additional, Trecenti, Julio, additional, and Hirota, Renata, additional

Published
2021
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45. X-processes: Discovering more accurate business process models with a genetic algorithms method

Author

Fantinato, Marcelo, Peres, Sarajane Marques, Reijers, Hajo, Sub Process Management and Analytics, Business Process Management and Analytics, Sub Process Management and Analytics, and Business Process Management and Analytics

Subjects
Taverne
Abstract

Although process model discovery has been extensively investigated over the past two decades, existing discovery methods are still not considered fully satisfactory. One problem is the difficulty of discovering accurate process models, achievable with both high recall (or fitness) and high precision, particularly for real-world event logs. This paper introduces a process discovery method, namely X-Processes, based on genetic algorithms, which aims to optimize accuracy through the F-Score calculated between recall and precision. Although genetic algorithms have been used to discover process models, such methods also have limitations as do other non-genetic algorithms-based methods. Experimental results for 12 real-world event logs show the accuracy of the process models discovered by X-Processes is higher than those of six other state-of-the-art discovery methods, including one also based on genetic algorithms. Besides accuracy, X-Processes delivers sound process models. Although its execution time is longer than the other compared discovery methods, X-Processes emerges as a solution when the need for a highly accurate process model outweighs the hunger for agility.

Published
2021

46. Interactive clustering: a scoping review

Author

Sub Process Management and Analytics, Neubauer, Thais Rodrigues, Peres, Sarajane Marques, Fantinato, Marcelo, Lu, Xixi, Reijers, Hajo Alexander, Sub Process Management and Analytics, Neubauer, Thais Rodrigues, Peres, Sarajane Marques, Fantinato, Marcelo, Lu, Xixi, and Reijers, Hajo Alexander

Published
2021

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