| 2025 | SBAC-PAD | Leveraging Large Language Models for Anomaly Detection in Microservices Architectures. | Diego Frazatto Pedroso, Lus Almeida, William Akihiro Alves Aisawa, Ins Dutra, Sarita Mazzini Bruschi |
| 2022 | IJCNN | Map-Optimize-Learn: Predicting Cardiac Pathology in Children and Teenagers with a Deep Learning Based Tabular Learning Method. | Mario T. R. Serra Neto, Ins Dutra, Marco Antnio Florenzano Mollinetti |
| 2021 | AAAI | Data Domain Change and Feature Selection to Predict Cardiac Pathology with a 2D Clinical Dataset and Convolutional Neural Networks (Student Abstract). | Mario Tasso Ribeiro Serra Neto, Marco A. F. Mollinetti, Ins Dutra |
| 2021 | AAAI | Quantum Binary Classification (Student Abstract). | Carla Silva, Ana Aguiar, Ins Dutra |
| 2021 | ACIIDS | Predictive Maintenance for Sensor Enhancement in Industry 4.0. | Carla Silva, Marvin F. da Silva, Arlete Rodrigues, Jos Silva, Vtor Santos Costa, Alpio Jorge, Ins Dutra |
| 2018 | ICLP | Improving Candidate Quality of Probabilistic Logic Models. | Joana Crte-Real, Anton Dries, Ins Dutra, Ricardo Rocha |
| 2017 | ILP | On Applying Probabilistic Logic Programming to Breast Cancer Data. | Joana Crte-Real, Ins Dutra, Ricardo Rocha |
| 2017 | ISCC | Managing diabetes: Pattern discovery and counselling supported by user data in a mobile platform. | Diogo Machado, Tiago Paiva, Ins Dutra, Vtor Santos Costa, Pedro Brando |
| 2016 | ILP | Estimation-Based Search Space Traversal in PILP Environments. | Joana Crte-Real, Ins Dutra, Ricardo Rocha |
| 2015 | ILP | Processing Markov Logic Networks with GPUs: Accelerating Network Grounding. | Carlos Alberto Martinez-Angeles, Ins Dutra, Vtor Santos Costa, Jorge Buenabad-Chvez |
| 2015 | SAC | Accelerating recommender systems using GPUs. | Andr Valente Rodrigues, Alpio Jorge, Ins Dutra |