Lectures presented at conferences and seminars

  1. Data Science: Challenges and Opportunities (IFRJ 2024)
  2. Use of LLM to Support Writing and Reviewing Articles (SEPEX 2024)
  3. Opportunities in Computer Science: A Perspective from Data Science (Technische Universität Berlin 2024)
  4. Concept Drift (Technische Universität Berlin 2024)
  5. Career in Computing (Marista São José 2024)
  6. REMD: A New Hybrid Method for Anomaly Detection in Time Series (IJCNN 2024)
  7. Data-Centric AI Approaches for Time Series Event Detection (DAL Lives 2024)
  8. Data-Centric AI Approaches for Time Series Event Detection (INRIA 2024)
  9. Event Detection in Time Series (UFRRJ 2024)
  10. Data, Models, and Configuration Management in the Context of Artificial Intelligence (SEPEX 2023)
  11. Challenges in Predicting Global Pesticide Consumption Using Machine Learning (BreSci 2023)
  12. Outbreak Detection (Fiocruz 2023)
  13. Time Series Event Detection (CENPES 2023)
  14. Concept Drift (Shape Time Series Day 2022)
  15. Data Science in the Axes of Science, Business, and Government (SEPEX 2022 and ERBD 2022)
  16. Generalization of Restricted Sequence Mining in Space and Time (SBBD 2021) (video)
  17. Panel: High Performance Data Science (WEIC 2021) (video)
  18. Panel: Research & Extension Initiatives at EIC: Where Did We Come From? What Are We? Where Are We Going? (WEIC 2021) (video)
  19. Time Series Prediction (SEIC 2021) (video)
  20. Where to Submit Articles? And Qualis? (SEIC 2020) (video)
  21. Autoregressive Model of Adaptive Integration (SBBD 2019) (video)
  22. Frequent Anomaly Detection in Urban Road Transport (SBBD 2018)
  23. Towards the Integration of Workflow Algebra with Relational Query Processing (SBBD 2018)
  24. Evaluating Data Preprocessing Methods for Machine Learning Models for Flight Delays (IJCNN 2018)
  25. Evaluating the Complementarity of Communication Tools for Learning Platforms (CSEDU 2018)
  26. Orthographic Educational Game for Portuguese-Speaking Countries (CSEDU 2018)
  27. Management and Analysis of Spatio-Temporal Series (LNCC-INRIA 2017)
  28. Anomaly Detection in Urban Road Transport (SBBD 2017)
  29. PPCIC and Its Connection with Data Science Challenges (WEIC 2016)
  30. Analysis of Research Practice and Research Methodology Courses (SEIC 2016)
  31. Opening Presentation of the Graduate Program in Computer Science at CEFET/RJ (CEFET/RJ 2016)
  32. Research Report (LNCC-INRIA 2016)
  33. Identification of Motifs in Spatio-Temporal Series (WCD @ LNCC 2016)
  34. Exploring Multiple Clusters in Attributed Graphs (SAC 2015)
  35. Amê: An Environment to Learn and Analyze Adversarial Search Algorithms Using Stochastic Card Games (SAC 2015)
  36. Big Data & IoT (WEIC 2015)
  37. Innovative Projects, Revolutionary Ideas (WEIC 2014)
  38. How to Prepare Good Final Projects? (SEIC 2014)
  39. Algorithms and Applications of Data Mining (LNCC-INRIA 2014)
  40. Towards a Reference Model for ODL: A Case Study in the Tourism Undergraduate Course (ICBL 2013)
  41. Building an Environment for Developing Educational Games Based on Gestural Interface (SENID 2013)
  42. Using Provenance Analyzers to Improve the Performance of Scientific Workflows in Cloud Environments (SBBD 2012)
  43. Using Domain-Specific Data to Enhance Scientific Workflow Steering Queries (IPAW 2012)
  44. An Algebraic Approach for Data-Centric Scientific Workflows (VLDB 2011)
  45. Evaluation of the Distribution of Static and Dynamic Activities in Parallel Environments Using Hydra (BreSci 2011 @ CSBC)
  46. Data Parallelism in Bioinformatics Workflows Using Hydra (ECMLS 2010 @ HPDC)
  47. GExpLine: A Tool for Supporting Experiment Composition (IPAW 2010)
  48. Estimates of Consumption and Production of Agro-Minerals for the Next 20 Years (CETEM 2010)
  49. A Conception Process for Abstract Workflows: An Example in the Deep Water Oil Exploitation Domain (eScience 2009)
  50. Parallelization of Data Mining Tasks Using Scientific Workflows (WAAMD 2009 @SBBD)
  51. Exploring Many Task Computing in Scientific Workflows (MTAGS 2009 @ SC)
  52. Autoregressive Model for Fertilizer Forecasting Based on Neural Networks (Rochagem 2009)
  53. Neural Networks Cartridges for Data Mining on Time Series (IJCNN 2009)
  54. Experiment Line: Software Reuse in Scientific Workflows (SSDBM 2009)
  55. Comparison and Versioning of Scientific Workflows (CVSM 2009 @ ICSE)
  56. Experience Lines: Management of Reuse and Configuration in Scientific Workflows (BreSci 2009)
  57. Experimental Evaluation of Indexing Techniques in Object-Oriented Databases (SBBD 1999)