Gabriel P. Oliveira

Data Scientist and PhD Candidate

I am a PhD Candidate at the Computer Science Graduate Program of Universidade Federal de Minas Gerais (PPGCC/UFMG) in Belo Horizonte, Brazil and I am currently visiting Politecnico di Torino (Italy), hosted by the SmartData@PoliTO center and the TNG Group. I obtained my MSc and BSc degrees in Computer Science from UFMG in 2021 and 2018, respectively.

I am a member of the Laboratory of Interdisciplinary Computer Science (CS+X) at UFMG and I worked as a Data Scientist in the Analytical Capabilities Project (a collaboration between DCC/UFMG and GSI/MPMG). My research interests include data science, social computing, music information retrieval and complex networks.

If you need, contact me at gabrielpoliveira [at] dcc [dot] ufmg [dot] br

news

Mar 24, 2025 Our article Frequent Genre Mining on Hit and Viral Songs is now available on the Journal of Information and Data Management.
Jan 24, 2025 Our article Evaluating Preprocessing and Textual Representation on Brazilian Public Bidding Document Classification is now available on the Journal of Information and Data Management.
Oct 17, 2024 Our paper ICPSet: Um Conjunto de Dados Estruturados de Itens de Compras Públicas (ICPSet: A Structured Dataset of Public Procurement Items) received the Best Paper Award at DSW 2024 ✨
Oct 3, 2024 Just started my period as a Visiting PhD Student at Politecnico di Torino, Italy 🇮🇹
Sep 7, 2024 Our article A quantitative comparison of viral and hit songs in the Brazilian music market is now available on Vortex Music Journal.

selected publications

  1. Vórtex
    A quantitative comparison of viral and hit songs in the Brazilian music market
    G. P. Oliveira, A. P. Couto da Silva, and M. M. Moro
    Vórtex Music Journal, 2024
  2. WebSci
    What makes a viral song? Unraveling music virality factors
    G. P. Oliveira, A. P. Couto da Silva, and M. M. Moro
    In Proceedings of the 16th ACM Web Science Conference, 2024
  3. JNMR
    Hit song science: a comprehensive survey and research directions
    D. B. SeufitelliG. P. OliveiraM. O. Silva, C. Scofield, and M. M. Moro
    Journal of New Music Research, 2023
  4. Scientometrics
    Hot streaks in the music industry: identifying and characterizing above-average success periods in artists’ careers
    G. P. OliveiraM. O. SilvaD. B. Seufitelli, G. R. G. Barbosa, B. C. Melo, and M. M. Moro
    Scientometrics, 2023
  5. ISMIR
    Detecting Collaboration Profiles in Success-based Music Genre Networks
    G. P. OliveiraM. O. SilvaD. B. SeufitelliA. Lacerda, and M. M. Moro
    In Proceedings of the 21st International Society for Music Information Retrieval Conference, 2020