Workshop Dinizia Program – July 17, 2025
Workshop Dinizia – Program – July 17, 2025 Morning Session 10:00 – Welcome coffee 10:15 – Opening Remarks 10:30 – Rebecca Salles (INRIA) — Scalable and Accurate Online Multivariate Anomaly…
Workshop Dinizia – Program – July 17, 2025 Morning Session 10:00 – Welcome coffee 10:15 – Opening Remarks 10:30 – Rebecca Salles (INRIA) — Scalable and Accurate Online Multivariate Anomaly…
Epidemiology is important in public health because it studies the health-disease-care process in human populations. One of the main focuses of this science is to identify the determinants factors in…
Harbinger is a framework for event detection in time series. It provides an integrated environment for time series anomaly detection, change points, and motif discovery. It provides a broad range…
Information published in the communication media, such as government transitions, economic crises, or corruption scandals, is an external factor associated with financial time series. These factors can be related to…
Spatial-temporal sequential patterns bring knowledge about sequences of events displaced in time and space. Finding such patterns is computationally intensive but of great value for different domains. However, frequent sequential…
Economic policy uncertainty shocks change how the economy behaves, moving it away from its pattern. Therefore, these effects can be understood as an event. Given this, the problem of event…
Due to the constant innovations in communications tools, several organizations are constantly evaluating the adoption of new communication tools (NCT) with respect to current ones. Especially, many organizations are interested…
Extreme environmental events such as droughts affect millions of people all around the world. Although it is not possible to prevent this type of event, its prediction under different time…
The new orthographic agreement introduces some changes in the vocabulary of the Portuguese language. Although these changes have modified a small percentage of the vocabulary words, people are struggling to…
Functions for time series prediction and accuracy assessment using automatic linear modeling. The generated linear models and its yielded prediction errors can be used for benchmarking other time series prediction…
Computer Science students are usually enthusiastic about learning Artificial Intelligence (AI) due to the possibility of developing computer games that incorporate AI behaviors. Under this scenario, Search Algorithms (SA)…
The use of simulators as educational tools aims to increase students' engagement in classes and seems to help them to understand difficult concepts. They can be used in natural…
Abstract This webpage provides information about the Brazilian Flight Dataset (BFD). The description includes the data sources from regular flights (VRA) and weather data. The VRA is provided by ANAC…
In this paper, we applied data indexing techniques combined with association rules to unveil hidden patterns of flight delays. Considering Brazilian flight data and guided by six research questions related…
Systematic Review Data survey-data Reproducibility The possibility for the reader to be able to reproduce all the results presented in papers is significant for the scientific method. Initiatives that publishes…
Estimation of COVID-19 under-reporting in Brazilian States through SARI Overview Due to its impact, COVID-19 has been stressing the academy to search for curing, mitigating, or controlling it. However, when…