4Experts: A Task Recommendation Approach Using Machine Learning and Biometric Data
Context: The identification of skills and technical competences that a developer has and assigning tasks according to their abilities can improve task execution and reduce negative emotional aspects such as frustration. Problem: The assignment of coding ...
Automatic detection of people with reduced mobility using YOLOv5 and data reduction strategy
Context: A portion of the users in the São Paulo Metro are people who have physical limitations and need the help of wheelchairs or other similar devices. In this way, the Metro stations have elevators that allow these users to move between the floors ...
Machine Learning Applied to the Classification of Technical Inspection Recommendations Regarding the Trend to Increase Criticality
Context: The problem of prioritizing maintenance activities has become a subject of great interest to the industry in a highly competitive scenario where profitability, productivity, and safety are sought in highly automated plant operations. Problem: ...
Characterizing Toolkits for Platform Independent Chatbot Development
Context: With the increase in the use of conversational agents, especially those based on written language (chatbots), users can interact with machines through natural language. Problem: The growing demand for chatbots has raised problems in building ...
Assis: Online Semi-Automatic Dialog Annotation Tool
Context: Task-oriented conversational systems demand a high volume of data to understand human language. One of the major challenges of Natural Language Processing (NLP) is the lack of structured annotated data to improve and refine language models, ...
Using Machine Learning to Classify Process Model Elements for Process Infrastructure Analysis
Context: Business Process Management is an increasingly important discipline adopted by organizations to model, analyze, and implement their business processes. The complexity of understanding business processes is reduced when they are analyzed through ...
An Approach Based on Machine Learning for Predicting Software Design Problems
Context: Software design problems emerge when internal structures of source code challenge design principles or rules. The prediction of design problems plays an essential role in the software development industry, identifying defective architectural ...
EPAComp: An Architectural Model for EPA Composition
Context: Complex Event Processing (CEP) architectures present high applicability in Realtime Streaming Analytics (RTSA) by extracting and generating valuable information from continuous data feeds, like in stock markets, traffic, and patient monitoring. ...
PharmaBulaBot: A Chatbot to Answer Drug Questions Based on Information from Pharmaceutical Package Inserts
Context: The medicine inserts or pharmaceutical inserts are documents accompanying the medicines in their packaging with information and guidance to the patient.
Problem: Reading and understanding the text of package inserts is not easy for most ...
The Use of Users’ Personal Data to Improve Online Retail Services: An Analysis from a Systematic Literature Review
- Danilo Lira,
- Gabriel Mac’Hamilton,
- Gabriel Stadtler,
- Myllena Almeida,
- Simone C. dos Santos,
- Jéssyka Vilela
Context: The rise of online retail systems is increasingly evident, bringing users the convenience of shopping anywhere and at better prices than physical stores. Problem: As part of the online shopping process, several user data are frequently ...
Towards a blockchain-based API to ensure data interoperability and transparency in the registration and inspection processes of Brazilian water dams
- Antonio Jefferson Macedo,
- Allysson Allex Araújo,
- Raphael Saraiva,
- Pamella Soares,
- Antonio Emerson B. Tomaz,
- Itamara Taveira
Context: the rupture of water dams leads to social, economic, and environmental catastrophes. To mitigate this threat, the Brazilian National Dam Safety Policy was designed to regulate safety actions, including requirements for dam registration, ...
INSIDE: an Ontology-based Data Integration System Applied to the Oil and Gas Sector
- Júlio Gonçalves Campos,
- Vitor Pinheiro De Almeida,
- Elvismary Molina De Armas,
- Geiza Maria Hamazaki Da Silva,
- Eduardo Thadeu Corseuil,
- Fernando Rodrigues Gonzalez
Context: Data integration remains a major challenge facing organizations in the information age. Despite the advances made in recent decades, new approaches have become necessary to deal with new challenges such as Big Data. Problem: Semantic ...
Inference of Properties of a Natural Gas Processing Plant Through the Application of Machine Learning to Time Series
Context: Virtual analyzers or inferences are mathematical models widely used in the chemical process industry, as they allow real-time prediction of properties of interest from measurements of basic properties available at the appropriate frequency. ...
Optimizing Wireline Formation Testing in Oil Wells: A Data Science approach
Context: Wireline Formation Testers are common operations in well testing and evaluation, as they provide key information for exploration and production activities, such as reservoir pressure and permeability. The operation is conducted by following a ...
A Score approach to identify the risk of students dropout: an experiment with Information Systems Course
- Robinson Crusoé Da Cruz,
- Renato Correa Juliano,
- Francisco Carlos Monteiro Souza,
- Alinne Cristinne Correa Souza
Context: The student dropout in Higher Education contributes to much social, economic, and academic loss. Students have different reasons for dropping out but the main ones are related to difficulty in learning the content, the structure proposed by ...
Towards a Catalog of Heuristics for the Design of Systems-of-Systems
Context: Systems-of-Systems (SoS) are arrangements of independent systems that are increasingly present in everyday life and can be observed in domains such as healthcare, transport, and Industry 4.0, to mention a few. Problem: A significant concern ...
CARAMEL: Ecosystem for Big Social Data
Context: A large volume of data produced in social media is analyzed through different perspectives. Much effort goes into retrieving and processing the data, maintaining the necessary infrastructure, and building and sharing the foundation between ...
I didn’t find what I wanted - How do Developers Consume Information in Software Ecosystems Portals?
- Thiago de Moura Parracho,
- Rodrigo Oliveira Zacarias,
- Marcos César da Rocha Seruffo,
- Rodrigo Pereira dos Santos
Context: Web portals play an important role within a Software Ecosystem (SECO), as they facilitate access to information and interaction among software developers over a common technological platform. Problem: Developers’ dissatisfaction with how ...
How to carry out a Brazilian research in computing considering ethical or moral aspects?
Context: Ethical aspects are of increasing interest to the computing communities. Part of this interest is related to ethics in research and institutional ethics related to research ethics committees. This phenomenon has also increased ethical or moral ...
Machine-based Stereotypes: How Machine Learning Algorithms Evaluate Ethnicity from Face Data
Context: Soft biometrics is a field that aids traditional biometrics through attribute identification using descriptors such as hair type, ethnicity, or gender. When employed to large search sets, allows optimization of the search space, thus increasing ...
Analysis of Political Sentiment Demonstrations on Twitter under COVID-19 Pandemic
Context: In the last decades, there has been a significant expansion of the Internet among the world’s population and, together with this growth, social network platforms have consolidated as a trend and established themselves as social and political ...
Discovery of socio-technical requirements for the design of a digital educational game
Context: The use of digital games in several areas is a reality, getting the attention and engagement of users or players, making possible the combination of games and education, contributing to the teaching and learning process, especially in subjects ...
Games With Training Purpose for Hazard Situations in the Industry - Systematic Mapping of the Literature
Context: The amount of work injuries is a world concern, both for human and financial loss. Organizations could have avoided most accidents if they decreased human failure by using more effective training methods. Several studies point to games as ...
Game for Awareness of Entrepreneurs in the Protection of their Creations by Intellectual Property: An Experiment in Startup
Understanding the Intellectual Property (IP) protection landscape helps organizations position themselves in relation to their creations and provides insight into the future direction of a technology, thus directly impacting the three dimensions of ...
Evaluating Students’ Technology Acceptance of Use of Metaverse as an Educational Information System for Hybrid Education
Context: COVID-19 has brought new challenges and chances to modern society. During that time, Information Systems (IS) become more indispensable to people’s lives. Especially in the educational field, new technologies and ISs, such as metaverses, arose ...
Reliability Analysis with User Experience in Portal of Public Institution
- Gustavo Gatti Alves,
- Marcia Cristina Dadalto Pascutti,
- Samara Ferreira Dias,
- Gislaine Camila Lapasini Leal,
- Renato Balancieri
Context: Technology has been used as a pillar of many governments, both in service provision and in information presentation and transparency, thus, the user experience in government tools is intrinsically linked to the population’s reliability in ...
Machine Learning Applied to Open Government Data for the Detection of Improprieties in the Application of Public Resources
Context: Making government data publicly available is an important mechanism of transparency and social control. In this regard, inumerous laws have made it mandatory to divulgate government procurement data. Problem: The large volume of unstructured ...
Automatic Classification of Public Expenses in the Fight against COVID-19: A Case Study of TCE/PI
Context: Social control is an act of exercising citizenship, which contributes to the strengthening of popular sovereignty. The Audit Courts analyze hiring data from official diaries. For there to be transparency in public administration and social ...
Description of dynamic images: a systematic mapping for the understanding and transparency of information that may be perceptible visually impaired citizens
Context: With the advent of the Web and the advancement of information and communication technologies (ICTs), society began to keep itself informed of facts and everyday events and can be connected anywhere on the planet. However, a portion of society, ...
Critical Success Factors for Open Government Data Management Information Systems in a Public Body in the State of São Paulo
Context: In Brazil, access to public government data and information is a citizen’s right and at the same time a means of overseeing and auditing the government actions. Thus emerges the challenge for municipal, state and federal governments to provide ...
Index Terms
- Proceedings of the XIX Brazilian Symposium on Information Systems