| 2026 | SANER | Extracting Causal Relations from Log Sequences Using Causal Language Models. | Vithor Gomes Bertalan, Fateme Faraji Daneshgar, Daniel Aloise |
| 2023 | ISSRE | Using Transformer Models and Textual Analysis for Log Parsing. | Vithor Gomes Ferreira Bertalan, Daniel Aloise |
| 2023 | SDM | A Lagrangian-based approach to learn distance metrics for clustering with minimal data transformation. | Rodrigo Randel, Daniel Aloise, Alain Hertz |
| 2022 | DCOSS | OptiMaP: swarm-powered Optimized 3D Mapping Pipeline for emergency response operations. | Leandro Rincon Costa, Daniel Aloise, Luca Giovanni Gianoli, Andrea Lodi |
| 2022 | DIGRA | HurricaneLog: A humanitarian logistics game on hurricane preparedness and response operations. | Thiago Pereira, Daniel Aloise, Marie-ve Rancourt, Danny Godin |
| 2022 | MSR | FaST: A linear time stack trace alignment heuristic for crash report deduplication. | Irving Muller Rodrigues, Daniel Aloise, Eraldo Rezende Fernandes |
| 2021 | MSR | On Improving Deep Learning Trace Analysis with System Call Arguments. | Quentin Fournier, Daniel Aloise, Seyed Vahid Azhari, Franois Tetreault |
| 2020 | CPAIOR | An Exact CP Approach for the Cardinality-Constrained Euclidean Minimum Sum-of-Squares Clustering Problem. | Mohammed Najib Haouas, Daniel Aloise, Gilles Pesant |
| 2020 | MSR | A Soft Alignment Model for Bug Deduplication. | Irving Muller Rodrigues, Daniel Aloise, Eraldo Rezende Fernandes, Michel R. Dagenais |
| 2020 | RecSys | RecSeats: A Hybrid Convolutional Neural Network Choice Model for Seat Recommendations at Reserved Seating Venues. | Tho Moins, Daniel Aloise, Simon J. Blanchard |
| 2019 | ISSRE | Automatic Cause Detection of Performance Problems in Web Applications. | Quentin Fournier, Naser Ezzati-Jivan, Daniel Aloise, Michel R. Dagenais |
| 2018 | KDD | Towards Station-Level Demand Prediction for Effective Rebalancing in Bike-Sharing Systems. | Pierre Hulot, Daniel Aloise, Sanjay Dominik Jena |