7 Search Results for "Ribeiro, M�rcio"

Document
DOI: 10.4230/OASIcs.SLATE.2021.12
Semantic Search of Mobile Applications Using Word Embeddings

Authors: João Coelho, António Neto, Miguel Tavares, Carlos Coutinho, Ricardo Ribeiro, and Fernando Batista

Published in: OASIcs, Volume 94, 10th Symposium on Languages, Applications and Technologies (SLATE 2021)

Abstract
This paper proposes a set of approaches for the semantic search of mobile applications, based on their name and on the unstructured textual information contained in their description. The proposed approaches make use of word-level, character-level, and contextual word-embeddings that have been trained or fine-tuned using a dataset of about 500 thousand mobile apps, collected in the scope of this work. The proposed approaches have been evaluated using a public dataset that includes information about 43 thousand applications, and 56 manually annotated non-exact queries. Our results show that both character-level embeddings trained on our data, and fine-tuned RoBERTa models surpass the performance of the other existing retrieval strategies reported in the literature.
Cite as

João Coelho, António Neto, Miguel Tavares, Carlos Coutinho, Ricardo Ribeiro, and Fernando Batista. Semantic Search of Mobile Applications Using Word Embeddings. In 10th Symposium on Languages, Applications and Technologies (SLATE 2021). Open Access Series in Informatics (OASIcs), Volume 94, pp. 12:1-12:12, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@InProceedings{coelho_et_al:OASIcs.SLATE.2021.12,
  author =	{Coelho, Jo\~{a}o and Neto, Ant\'{o}nio and Tavares, Miguel and Coutinho, Carlos and Ribeiro, Ricardo and Batista, Fernando},
  title =	{{Semantic Search of Mobile Applications Using Word Embeddings}},
  booktitle =	{10th Symposium on Languages, Applications and Technologies (SLATE 2021)},
  pages =	{12:1--12:12},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-202-0},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{94},
  editor =	{Queir\'{o}s, Ricardo and Pinto, M\'{a}rio and Sim\~{o}es, Alberto and Portela, Filipe and Pereira, Maria Jo\~{a}o},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2021.12},
  URN =		{urn:nbn:de:0030-drops-144292},
  doi =		{10.4230/OASIcs.SLATE.2021.12},
  annote =	{Keywords: Semantic Search, Word Embeddings, Elasticsearch, Mobile Applications}
}
Document
DOI: 10.4230/OASIcs.SLATE.2021.17
Sentiment Analysis of Portuguese Economic News

Authors: Cátia Tavares, Ricardo Ribeiro, and Fernando Batista

Published in: OASIcs, Volume 94, 10th Symposium on Languages, Applications and Technologies (SLATE 2021)

Abstract
This paper proposes a rule-based method for automatic polarity detection over economic news texts, which proved suitable for detecting the sentiment in Portuguese economic news. The data used in our experiments consists of 400 manually annotated sentences extracted from economic news, used for evaluation, and about 90 thousand Portuguese economic news, extracted from two well-known Portuguese newspapers, covering the period from 2010 to 2020, that have been used for training our systems. In order to perform sentiment analysis of economic news, we have also tested the adaptation of existing pre-trained modules, and also performed experiments with a set of Machine Learning approaches, and self-training. Experimental results show that our rule-based approach, that uses manually written rules related to the economic context, achieves the best results for automatically detecting the polarity of economic news, largely surpassing the other approaches.
Cite as

Cátia Tavares, Ricardo Ribeiro, and Fernando Batista. Sentiment Analysis of Portuguese Economic News. In 10th Symposium on Languages, Applications and Technologies (SLATE 2021). Open Access Series in Informatics (OASIcs), Volume 94, pp. 17:1-17:13, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@InProceedings{tavares_et_al:OASIcs.SLATE.2021.17,
  author =	{Tavares, C\'{a}tia and Ribeiro, Ricardo and Batista, Fernando},
  title =	{{Sentiment Analysis of Portuguese Economic News}},
  booktitle =	{10th Symposium on Languages, Applications and Technologies (SLATE 2021)},
  pages =	{17:1--17:13},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-202-0},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{94},
  editor =	{Queir\'{o}s, Ricardo and Pinto, M\'{a}rio and Sim\~{o}es, Alberto and Portela, Filipe and Pereira, Maria Jo\~{a}o},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2021.17},
  URN =		{urn:nbn:de:0030-drops-144347},
  doi =		{10.4230/OASIcs.SLATE.2021.17},
  annote =	{Keywords: Sentiment Analysis, Economic News, Portuguese Language}
}
Document
DOI: 10.4230/OASIcs.iPMVM.2020.5
Optimized Routine of Machining Distortion Characterization Based on Gaussian Surface Curvature

Authors: Destiny R. Garcia, Barbara S. Linke, and Rida T. Farouki

Published in: OASIcs, Volume 89, 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)

Abstract
Machining distortion presents a significant problem in products with high residual stresses from materials processing and re-equilibration after machining removes a large part of the material volume and is common in the aerospace industries. While many papers research on mechanisms of machining distortion, few papers report on the measurement, processing and characterization of distortion data. Oftentimes only line plot data is used to give a maximum distortion value. This paper proposes a method of measurement tool selection, measurement parameter selection, data processing through filtering and leveling, and use of Bézier Surfaces and Gaussian Curvature for distortion characterization. The method is demonstrated with three sample pieces of different pocket geometry from quenched aluminum. It is apparent that samples with machining distortion can have complex surface shapes, where Bézier Surfaces and Gaussian Curvature provide more information than the commonly used 2D line plot data.
Cite as

Destiny R. Garcia, Barbara S. Linke, and Rida T. Farouki. Optimized Routine of Machining Distortion Characterization Based on Gaussian Surface Curvature. In 2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020). Open Access Series in Informatics (OASIcs), Volume 89, pp. 5:1-5:17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@InProceedings{garcia_et_al:OASIcs.iPMVM.2020.5,
  author =	{Garcia, Destiny R. and Linke, Barbara S. and Farouki, Rida T.},
  title =	{{Optimized Routine of Machining Distortion Characterization Based on Gaussian Surface Curvature}},
  booktitle =	{2nd International Conference of the DFG International Research Training Group 2057 – Physical Modeling for Virtual Manufacturing (iPMVM 2020)},
  pages =	{5:1--5:17},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-183-2},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{89},
  editor =	{Garth, Christoph and Aurich, Jan C. and Linke, Barbara and M\"{u}ller, Ralf and Ravani, Bahram and Weber, Gunther H. and Kirsch, Benjamin},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.iPMVM.2020.5},
  URN =		{urn:nbn:de:0030-drops-137542},
  doi =		{10.4230/OASIcs.iPMVM.2020.5},
  annote =	{Keywords: Machining distortion, Metrology, Gaussian curvature}
}
Document
DOI: 10.4230/OASIcs.ICPEC.2020.28
Using Property-Based Testing to Generate Feedback for C Programming Exercises

Authors: Pedro Vasconcelos and Rita P. Ribeiro

Published in: OASIcs, Volume 81, First International Computer Programming Education Conference (ICPEC 2020)

Abstract
This paper reports on the use of property-based testing for providing feedback to C programming exercises. Test cases are generated automatically from properties specified in a test script; this not only makes it possible to conduct many tests (thus potentially find more mistakes), but also allows simplifying failed tests cases automatically. We present some experimental validation gathered for an introductory C programming course during the fall semester of 2018 that show significant positive correlations between getting feedback during the semester and the student’s results in the final exam. We also discuss some limitations regarding feedback for undefined behaviors in the C language.
Cite as

Pedro Vasconcelos and Rita P. Ribeiro. Using Property-Based Testing to Generate Feedback for C Programming Exercises. In First International Computer Programming Education Conference (ICPEC 2020). Open Access Series in Informatics (OASIcs), Volume 81, pp. 28:1-28:10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)

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@InProceedings{vasconcelos_et_al:OASIcs.ICPEC.2020.28,
  author =	{Vasconcelos, Pedro and Ribeiro, Rita P.},
  title =	{{Using Property-Based Testing to Generate Feedback for C Programming Exercises}},
  booktitle =	{First International Computer Programming Education Conference (ICPEC 2020)},
  pages =	{28:1--28:10},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-153-5},
  ISSN =	{2190-6807},
  year =	{2020},
  volume =	{81},
  editor =	{Queir\'{o}s, Ricardo and Portela, Filipe and Pinto, M\'{a}rio and Sim\~{o}es, Alberto},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.ICPEC.2020.28},
  URN =		{urn:nbn:de:0030-drops-123159},
  doi =		{10.4230/OASIcs.ICPEC.2020.28},
  annote =	{Keywords: property-based testing, C language, Haskell language, teaching programming}
}
Document
DOI: 10.4230/OASIcs.SLATE.2017.21
Adapting Speech Recognition in Augmented Reality for Mobile Devices in Outdoor Environments

Authors: Rui Pascoal, Ricardo Ribeiro, Fernando Batista, and Ana de Almeida

Published in: OASIcs, Volume 56, 6th Symposium on Languages, Applications and Technologies (SLATE 2017)

Abstract
This paper describes the process of integrating automatic speech recognition (ASR) into a mobile application and explores the benefits and challenges of integrating speech with augmented reality (AR) in outdoor environments. The augmented reality allows end-users to interact with the information displayed and perform tasks, while increasing the user’s perception about the real world by adding virtual information to it. Speech is the most natural way of communication: it allows hands-free interaction and may allow end-users to quickly and easily access a range of features available. Speech recognition technology is often available in most of the current mobile devices, but it often uses Internet to receive the corresponding transcript from remote servers, e.g., Google speech recognition. However, in some outdoor environments, Internet is not always available or may be offered at poor quality. We integrated an off-line automatic speech recognition module into an AR application for outdoor usage that does not require Internet. Currently, speech interaction is used within the application to access five different features, namely: to take a photo, shoot a film, communicate, messaging related tasks, and to request information, either geographic, biometric, or climatic. The application makes available solutions to manage and interact with the mobile device, offering good usability. We have compared the online and off-line speech recognition systems in order to assess their adequacy to the tasks. Both systems were tested under different conditions, commonly found in outdoor environments, such as: Internet access quality, presence of noise, and distractions.
Cite as

Rui Pascoal, Ricardo Ribeiro, Fernando Batista, and Ana de Almeida. Adapting Speech Recognition in Augmented Reality for Mobile Devices in Outdoor Environments. In 6th Symposium on Languages, Applications and Technologies (SLATE 2017). Open Access Series in Informatics (OASIcs), Volume 56, pp. 21:1-21:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)

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@InProceedings{pascoal_et_al:OASIcs.SLATE.2017.21,
  author =	{Pascoal, Rui and Ribeiro, Ricardo and Batista, Fernando and de Almeida, Ana},
  title =	{{Adapting Speech Recognition in Augmented Reality for Mobile Devices in Outdoor Environments}},
  booktitle =	{6th Symposium on Languages, Applications and Technologies (SLATE 2017)},
  pages =	{21:1--21:14},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-056-9},
  ISSN =	{2190-6807},
  year =	{2017},
  volume =	{56},
  editor =	{Queir\'{o}s, Ricardo and Pinto, M\'{a}rio and Sim\~{o}es, Alberto and Leal, Jos\'{e} Paulo and Varanda, Maria Jo\~{a}o},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2017.21},
  URN =		{urn:nbn:de:0030-drops-79541},
  doi =		{10.4230/OASIcs.SLATE.2017.21},
  annote =	{Keywords: Speech Recognition, Natural Language Processing, Sphinx for Mobile Devices, Augmented Reality, Outdoor Environments}
}
Document
DOI: 10.4230/DARTS.1.1.7
The Love/Hate Relationship with the C Preprocessor: An Interview Study (Artifact)

Authors: Flávio Medeiros, Christian Kästner, Márcio Ribeiro, Sarah Nadi, and Rohit Gheyi

Published in: DARTS, Volume 1, Issue 1, Special Issue of the 29th European Conference on Object-Oriented Programming (ECOOP 2015)

Abstract
This appendix presents detailed information about the research methods we used in the study, subject characterization, grounded theory process that we followed strictly, and the survey we performed in the study. It provides helpful data for understanding the subtler points of the companion paper and for reproducibility.
Cite as

Flávio Medeiros, Christian Kästner, Márcio Ribeiro, Sarah Nadi, and Rohit Gheyi. The Love/Hate Relationship with the C Preprocessor: An Interview Study (Artifact). In Special Issue of the 29th European Conference on Object-Oriented Programming (ECOOP 2015). Dagstuhl Artifacts Series (DARTS), Volume 1, Issue 1, pp. 7:1-7:32, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2015)

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@Article{medeiros_et_al:DARTS.1.1.7,
  author =	{Medeiros, Fl\'{a}vio and K\"{a}stner, Christian and Ribeiro, M\'{a}rcio and Nadi, Sarah and Gheyi, Rohit},
  title =	{{The Love/Hate Relationship with the C Preprocessor: An Interview Study (Artifact)}},
  pages =	{7:1--7:32},
  journal =	{Dagstuhl Artifacts Series},
  ISSN =	{2509-8195},
  year =	{2015},
  volume =	{1},
  number =	{1},
  editor =	{Medeiros, Fl\'{a}vio and K\"{a}stner, Christian and Ribeiro, M\'{a}rcio and Nadi, Sarah and Gheyi, Rohit},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DARTS.1.1.7},
  URN =		{urn:nbn:de:0030-drops-55162},
  doi =		{10.4230/DARTS.1.1.7},
  annote =	{Keywords: C Preprocessor, CPP, Interviews, Surveys, and Grounded Theory}
}
Document
DOI: 10.4230/LIPIcs.ECOOP.2015.495
The Love/Hate Relationship with the C Preprocessor: An Interview Study

Authors: Flávio Medeiros, Christian Kästner, Márcio Ribeiro, Sarah Nadi, and Rohit Gheyi

Published in: LIPIcs, Volume 37, 29th European Conference on Object-Oriented Programming (ECOOP 2015)

Abstract
The C preprocessor has received strong criticism in academia, among others regarding separation of concerns, error proneness, and code obfuscation, but is widely used in practice. Many (mostly academic) alternatives to the preprocessor exist, but have not been adopted in practice. Since developers continue to use the preprocessor despite all criticism and research, we ask how practitioners perceive the C preprocessor. We performed interviews with 40 developers, used grounded theory to analyze the data, and cross-validated the results with data from a survey among 202 developers, repository mining, and results from previous studies. In particular, we investigated four research questions related to why the preprocessor is still widely used in practice, common problems, alternatives, and the impact of undisciplined annotations. Our study shows that developers are aware of the criticism the C preprocessor receives, but use it nonetheless, mainly for portability and variability. Many developers indicate that they regularly face preprocessor-related problems and preprocessor-related bugs. The majority of our interviewees do not see any current C-native technologies that can entirely replace the C preprocessor. However, developers tend to mitigate problems with guidelines, even though those guidelines are not enforced consistently. We report the key insights gained from our study and discuss implications for practitioners and researchers on how to better use the C preprocessor to minimize its negative impact.
Cite as

Flávio Medeiros, Christian Kästner, Márcio Ribeiro, Sarah Nadi, and Rohit Gheyi. The Love/Hate Relationship with the C Preprocessor: An Interview Study. In 29th European Conference on Object-Oriented Programming (ECOOP 2015). Leibniz International Proceedings in Informatics (LIPIcs), Volume 37, pp. 495-518, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2015)

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@InProceedings{medeiros_et_al:LIPIcs.ECOOP.2015.495,
  author =	{Medeiros, Fl\'{a}vio and K\"{a}stner, Christian and Ribeiro, M\'{a}rcio and Nadi, Sarah and Gheyi, Rohit},
  title =	{{The Love/Hate Relationship with the C Preprocessor: An Interview Study}},
  booktitle =	{29th European Conference on Object-Oriented Programming (ECOOP 2015)},
  pages =	{495--518},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-939897-86-6},
  ISSN =	{1868-8969},
  year =	{2015},
  volume =	{37},
  editor =	{Boyland, John Tang},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.ECOOP.2015.495},
  URN =		{urn:nbn:de:0030-drops-52350},
  doi =		{10.4230/LIPIcs.ECOOP.2015.495},
  annote =	{Keywords: C Preprocessor, CPP, Interviews, Surveys, and Grounded Theory}
}
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