| 2026 | EACL | KG-CRAFT: Knowledge Graph-based Contrastive Reasoning with LLMs for Enhancing Automated Fact-checking. | Vtor Loureno, Aline Paes, Tillman Weyde, Audrey Depeige, Mohnish Dubey |
| 2026 | LREC | ESG-QA: Building a Dataset for Question Answering on Environmental, Social, and Governance Pillars. | Gabriel Assis, Ayrton Surica, Pedro Kroll, Gabriela Aires Mendes, Darian Rabbani, Edson Bollis, Lucas Francisco Amaral Orosco Pellicer, Aline Paes |
| 2026 | LREC | Meta4XNLI-ptBR: Brazilian Portuguese Extension of Meta4XNLI Corpus. | Karina M. Johansson, Fernanda M. Assi, Isabella da Silva, Rafael V. P. Passador, Isabela Rodrigues, Aline Paes, Helena de Medeiros Caseli |
| 2025 | ACL | Evaluating LLMs for Portuguese Sentence Simplification with Linguistic Insights. | Arthur Mariano Rocha De Azevedo Scalercio, Elvis A. de Souza, Maria Jos Bocorny Finatto, Aline Paes |
| 2025 | FUSION | Exploring Language Model Fusion to Improve Generalization in Portuguese Hate Speech Detection. | Annie Amorim, Gabriel Assis, Daniel de Oliveira, Aline Paes |
| 2025 | IJCNN | Towards Robust Neurosymbolic Relational Learning. | Thais Luca, Aline Paes, Gerson Zaverucha, Artur d'Avila Garcez |
| 2025 | SAC | Language Flavors in the Lusophone World: A BERT-Based Social Media Study of Portuguese in Brazil, Portugal, and Mozambique. | Annie Amorim, Gabriel Assis, Laura Ribeiro, Daniel de Oliveira, Aline Paes |
| 2024 | ACL | Enhancing Sentence Simplification in Portuguese: Leveraging Paraphrases, Context, and Linguistic Features. | Arthur Scalercio, Maria Jos Finatto, Aline Paes |
| 2024 | CBMS | Aggregating embeddings from image and radiology reports for multimodal Chest-CT retrieval. | Joo Silva-Leite, Cristina A. P. Fontes, Alair S. Santos, Diogo G. Correa, Marcel Koenigkam-Santos, Paulo M. Azevedo-Marques, Daniel de Oliveira, Aline Paes, Marcos V. N. Bedo |
| 2024 | ISCC | A Multimodal Approach to Predict Video Popularity from a Large Streaming Service. | Sidney Loyola de S, Aline Paes, Antnio A. de A. Rocha |
| 2023 | ILP | Select First, Transfer Later: Choosing Proper Datasets for Statistical Relational Transfer Learning. | Thais Luca, Aline Paes, Gerson Zaverucha |
| 2023 | SBAC-PAD | Exploring Federated Learning to Trace Depression in Social Media with Language Models. | Arthur B. Vasconcelos, Lcia Maria de A. Drummond, Rafaela C. Brum, Aline Paes |
| 2022 | ACII | Detecting Depression from Social Media Data as a Multiple-Instance Learning Task. | Paulo Mann, Elton H. Matsushima, Aline Paes |
| 2022 | ILP | Combining Word Embeddings-Based Similarity Measures for Transfer Learning Across Relational Domains. | Thais Luca, Aline Paes, Gerson Zaverucha |
| 2021 | AAAI | Screening for Depressed Individuals by Using Multimodal Social Media Data. | Paulo Mann, Aline Paes, Elton H. Matsushima |
| 2021 | ILP | Transfer Learning for Boosted Relational Dependency Networks Through Genetic Algorithm. | Leticia Freire de Figueiredo, Aline Paes, Gerson Zaverucha |
| 2021 | ILP | Mapping Across Relational Domains for Transfer Learning with Word Embeddings-Based Similarity. | Thais Luca, Aline Paes, Gerson Zaverucha |
| 2020 | FDG | Player Behavior Profiling through Provenance Graphs and Representation Learning. | Sidney Araujo Melo, Troy C. Kohwalter, Esteban Clua, Aline Paes, Leonardo Murta |
| 2020 | ICWSM | See and Read: Detecting Depression Symptoms in Higher Education Students Using Multimodal Social Media Data. | Paulo Mann, Aline Paes, Elton H. Matsushima |
| 2019 | AICCSA | Analysis of Static and Dynamic Infrared Images for Thyroid Nodules Investigation. | Jos R. Gonzlez, Aura Conci, Maira Beatriz Hernandez Moran, Adriel S. Arajo, Aline Paes, Charbel Damio, W. G. Fiirst |
| 2019 | ICAART | Towards Adaptive Deep Reinforcement Game Balancing. | Ashey Noblega, Aline Paes, Esteban Clua |
| 2019 | RE | A Vision Towards a Method for Identifying and Mitigating Unsustainable Practices in Organisations. | Leticia Duboc, Raquel Mendona, Jessica Salvador, Aline Paes |
| 2018 | ICANN | Lightweight Neural Programming: The GRPU. | Felipe Carregosa, Aline Paes, Gerson Zaverucha |
| 2018 | IJCNN | Towards Safer (Smart) Cities: Discovering Urban Crime Patterns Using Logic-based Relational Machine Learning. | Vtor Loureno, Paulo Mann, Artur Guimaraes, Aline Paes, Daniel de Oliveira |
| 2017 | ICSE | Supporting Defect Causal Analysis in Practice with Cross-Company Data on Causes of Requirements Engineering Problems. | Marcos Kalinowski, Pablo Curty, Aline Paes, Alexandre Ferreira, Rodrigo O. Spnola, Daniel Mndez Fernndez, Michael Felderer, Stefan Wagner |
| 2016 | ICMLA | Towards Deep Learning Invariant Pedestrian Detection by Data Enrichment. | Cristina Nader Vasconcelos, Aline Paes, Anselmo Antunes Montenegro |
| 2013 | ILP | Learning Multiple Description Logics Concepts. | Raphael Melo, Kate Revoredo, Aline Paes |
| 2009 | ILP | Chess Revision: Acquiring the Rules of Chess Variants through FOL Theory Revision from Examples. | Stephen H. Muggleton, Aline Paes, Vtor Santos Costa, Gerson Zaverucha |
| 2008 | ILP | Using the Bottom Clause and Mode Declarations on FOL Theory Revision from Examples. | Ana Lusa Duboc, Aline Paes, Gerson Zaverucha |
| 2007 | ILP | Revising First-Order Logic Theories from Examples Through Stochastic Local Search. | Aline Paes, Gerson Zaverucha, Vtor Santos Costa |
| 2006 | ILP | ILP Through Propositionalization and Stochastic k-Term DNF Learning. | Aline Paes, Filip Zelezn, Gerson Zaverucha, C. David Page Jr., Ashwin Srinivasan |
| 2005 | ILP | Probabilistic First-Order Theory Revision from Examples. | Aline Paes, Kate Revoredo, Gerson Zaverucha, Vtor Santos Costa |