Publications

Up-to-date list on Google Scholar.

• DispatchQA: A Benchmark for Small Function Calling Language Models in E-Commerce Applications
  Joachim Daiber, Victor Maricato, Aman Sinha, Andrei Rabinovich
  EMNLP (Industry Track), 2025

  A benchmark and methodology for evaluating small function-calling language models on realistic e-commerce dispatch tasks under tight latency budgets.

• Prediction of Gain or Loss of Function in Missense Variants
  VM Oliveira, PN de Souza Moura
  Simpósio Brasileiro de Sistemas de Informação (SBSI), 2025 · pdf

  ML approach to predict whether a missense variant produces a gain- or loss-of-function effect, with applications in clinical variant interpretation.

• Graph neural networks: A bibliometric mapping of the research landscape and applications
  AMB da Silva, NCS Ferreira, LAM Braga, FB Mota, V Maricato, LA Alves
  Information, 2024

  A bibliometric study mapping the GNN research landscape across applications and sub-fields.

• Graph neural networks as a potential tool in improving virtual screening programs
  LA Alves, NCS Ferreira, V Maricato, AVP Alberto, EA Dias, et al.
  Frontiers in Chemistry, 2022

  Review of graph neural network architectures applied to virtual screening pipelines for drug discovery.

• Quantification of schizophyllan directly from the fermented broth by ATR-FTIR and PLS regression
  FRP Mansoldo, V da Silva Cardoso, AN Junior, SML Cedrola, V Maricato, et al.
  Analytical Methods, 2020

  PLS-regression model on ATR-FTIR spectra to quantify schizophyllan directly in fermented broth — avoiding costly downstream isolation.