PPaperPicks

Carlos Soares

University of Porto, Portugal

21 papers at tracked venues · 3 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0003-4549-8917 ↗Homepage ↗

Venues

ECML-PKDD ×16AAAI ×1ECAI ×1ICDM ×1SIGKDD ×1VLDB ×1

Frequent coauthors

Alípio M. Jorge
×10
Pedro H. Abreu
×10
João Gama
×10
Rita P. Ribeiro
×8
Bernhard Pfahringer
×8
Nathalie Japkowicz
×8
Pedro Larrañaga
×8
Vítor Cerqueira
×4
Inês Dutra
×3
Mykola Pechenizkiy
×3
Paulo Cortez
×3
Sepideh Pashami
×3

Papers

  1. Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part IX
    ECML-PKDD 2026 ·
    Inês Dutra
    ,
    Mykola Pechenizkiy
    ,
    Paulo Cortez
    ,
    Sepideh Pashami
    ,
    Alípio M. Jorge
    , Carlos Soares,
    Pedro H. Abreu
    ,
    João Gama
  2. Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part X
    ECML-PKDD 2026 ·
    Inês Dutra
    ,
    Mykola Pechenizkiy
    ,
    Paulo Cortez
    ,
    Sepideh Pashami
    ,
    Arian Pasquali
    ,
    Nuno Moniz
    ,
    Alípio M. Jorge
    , Carlos Soares,
    Pedro H. Abreu
    ,
    João Gama
  3. Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part I
    ECML-PKDD 2026 ·
    Rita P. Ribeiro
    ,
    Bernhard Pfahringer
    ,
    Nathalie Japkowicz
    ,
    Pedro Larrañaga
    ,
    Alípio M. Jorge
    , Carlos Soares,
    Pedro H. Abreu
    ,
    João Gama
  4. Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part II
    ECML-PKDD 2026 ·
    Rita P. Ribeiro
    ,
    Bernhard Pfahringer
    ,
    Nathalie Japkowicz
    ,
    Pedro Larrañaga
    ,
    Alípio M. Jorge
    , Carlos Soares,
    Pedro H. Abreu
    ,
    João Gama
  5. Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part III
    ECML-PKDD 2026 ·
    Rita P. Ribeiro
    ,
    Bernhard Pfahringer
    ,
    Nathalie Japkowicz
    ,
    Pedro Larrañaga
    ,
    Alípio M. Jorge
    , Carlos Soares,
    Pedro H. Abreu
    ,
    João Gama
  6. Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part IV
    ECML-PKDD 2026 ·
    Rita P. Ribeiro
    ,
    Bernhard Pfahringer
    ,
    Nathalie Japkowicz
    ,
    Pedro Larrañaga
    ,
    Alípio M. Jorge
    , Carlos Soares,
    Pedro H. Abreu
    ,
    João Gama
  7. Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part V
    ECML-PKDD 2026 ·
    Rita P. Ribeiro
    ,
    Bernhard Pfahringer
    ,
    Nathalie Japkowicz
    ,
    Pedro Larrañaga
    ,
    Alípio M. Jorge
    , Carlos Soares,
    Pedro H. Abreu
    ,
    João Gama
  8. Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part VI
    ECML-PKDD 2026 ·
    Rita P. Ribeiro
    ,
    Bernhard Pfahringer
    ,
    Nathalie Japkowicz
    ,
    Pedro Larrañaga
    ,
    Alípio M. Jorge
    , Carlos Soares,
    Pedro H. Abreu
    ,
    João Gama
  9. Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part VII
    ECML-PKDD 2026 ·
    Rita P. Ribeiro
    ,
    Bernhard Pfahringer
    ,
    Nathalie Japkowicz
    ,
    Pedro Larrañaga
    ,
    Alípio M. Jorge
    , Carlos Soares,
    Pedro H. Abreu
    ,
    João Gama
  10. Machine Learning and Knowledge Discovery in Databases. Research Track and Applied Data Science Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part VIII
    ECML-PKDD 2026 ·
    Bernhard Pfahringer
    ,
    Nathalie Japkowicz
    ,
    Pedro Larrañaga
    ,
    Rita P. Ribeiro
    ,
    Inês Dutra
    ,
    Mykola Pechenizkiy
    ,
    Paulo Cortez
    ,
    Sepideh Pashami
    ,
    Alípio M. Jorge
    , Carlos Soares,
    Pedro H. Abreu
    ,
    João Gama
  11. Characterizing Publicly Available Tabular Health Datasets for Responsible Machine Learning
    ECML-PKDD 2025 ·
    Mariana Oliveira
    , Carlos Soares
  12. Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine
    AAAI 2025 ·
    Luis Roque
    ,
    Vítor Cerqueira
    , Carlos Soares,
    Luís Torgo
  13. Does Improving Forecasting Accuracy Also Improve Financial Utility? A Case Study with Binary Options
    ECML-PKDD 2025 ·
    José Santos
    , Carlos Soares,
    Paula Branco
    ,
    Vítor Cerqueira
  14. Evaluating Predictive Maintenance Models in the Presence of Reflexivity: A Case Study in Pharmaceutical Manufacturing
    ECML-PKDD 2025 ·
    Pedro Sousa
    , Carlos Soares,
    Vítor Cerqueira
  15. Evaluating Transfer Learning Methods on Real-World Data Streams: A Case Study in Financial Fraud Detection
    ECML-PKDD 2025 ·
    Ricardo Ribeiro Pereira
    ,
    Jacopo Bono
    ,
    Hugo M. Ferreira
    ,
    Pedro Ribeiro
    , Carlos Soares,
    Pedro Bizarro
  16. MASTFM: Meta-learning and Data Augmentation to Stress Test Forecasting Models
    ECML-PKDD 2025 ·
    Ricardo Inácio
    ,
    Vítor Cerqueira
    ,
    Marília Barandas
    , Carlos Soares
  17. Read-write LSTM: A Novel Approach Integrating Backpropagation to Data in LSTM
    ICDM 2025 ·
    Yassine Baghoussi
    , Carlos Soares,
    João Mendes-Moreira
  18. SPATA: Systematic Pattern Analysis for Detailed and Transparent Data Cards
    ECML-PKDD 2025 ·
    João Vitorino
    ,
    Eva Maia
    ,
    Isabel Praça
    , Carlos Soares
  19. UxV-DPN: Utility-vs-Value Data Pricing and Negotiation Mechanism in Machine Learning Data Marketplace
    VLDB 2025 ·
    Hajar Baghcheband
    , Carlos Soares,
    Luís Paulo Reis
  20. Fair-OBNC: Correcting Label Noise for Fairer Datasets
    ECAI 2024 ·
    Inês Oliveira e Silva
    ,
    Sérgio M. Jesus
    ,
    Hugo M. Ferreira
    ,
    Pedro Saleiro
    ,
    Inês Sousa
    ,
    Pedro Bizarro
    , Carlos Soares
  21. RHiOTS: A Framework for Evaluating Hierarchical Time Series Forecasting Algorithms
    SIGKDD 2024 ·
    Luis Roque
    , Carlos Soares,
    Luís Torgo