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Musical Success in the United States and Brazil: Novel Datasets and Temporal Analyses., , , , , , and . J. Inf. Data Manag., (2022)Detecting Inconsistencies in Public Bids: An Automated and Data-based Approach., , , , , , , , , and . WebMedia, page 182-190. ACM, (2022)How do developers collaborate? Investigating GitHub heterogeneous networks., , , , , and . Softw. Qual. J., 31 (1): 211-241 (March 2023)Ferramentas open-source de qualidade de dados para licitações públicas: Uma análise comparativa., , , , , , , , , and 1 other author(s). SBBD, page 116-127. SBC, (2022)Tie Strength in GitHub Heterogeneous Networks., , , and . WebMedia, page 363-370. ACM, (2018)Detecting Collaboration Profiles in Success-based Music Genre Networks., , , , and . ISMIR, page 726-732. (2020)Collaboration as a Driving Factor for Hit Song Classification., , , , and . WebMedia, page 66-74. ACM, (2022)Evaluating Contextualized Embeddings for Topic Modeling in Public Bidding Domain., , , , , and . BRACIS (3), volume 14197 of Lecture Notes in Computer Science, page 410-426. Springer, (2023)Assessing Data Quality Inconsistencies in Brazilian Governmental Data., , , , , , , , and . J. Inf. Data Manag., (October 2023)Hot streaks in the music industry: identifying and characterizing above-average success periods in artists' careers., , , , , and . Scientometrics, 128 (11): 6029-6046 (November 2023)