| Self-Supervised Models are Continual Learners E Fini*, VGT da Costa*, X Alameda-Pineda, E Ricci, K Alahari, J Mairal Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 269 | 2021 |
| solo-learn: A Library of Self-supervised Methods for Visual Representation Learning. VGT da Costa*, E Fini*, M Nabi, N Sebe, E Ricci J. Mach. Learn. Res. 23, 56:1-56:6, 2022 | 188 | 2022 |
| Iotds: A one-class classification approach to detect botnets in internet of things devices VH Bezerra, VGT da Costa, S Barbon Junior, RS Miani, BB Zarpelão Sensors 19 (14), 3188, 2019 | 98 | 2019 |
| Bayesian prompt learning for image-language model generalization MM Derakhshani, E Sanchez, A Bulat, VGT da Costa, CGM Snoek, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 79 | 2023 |
| Multimodal autoregressive pre-training of large vision encoders E Fini, M Shukor, X Li, P Dufter, M Klein, D Haldimann, S Aitharaju, ... Proceedings of the Computer Vision and Pattern Recognition Conference, 9641-9654, 2025 | 68 | 2025 |
| Dual-head contrastive domain adaptation for video action recognition VGT Da Costa, G Zara, P Rota, T Oliveira-Santos, N Sebe, V Murino, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 67 | 2022 |
| Providing IoT host-based datasets for intrusion detection research VH Bezerra, VGT da Costa, RA Martins, SB Junior, RS Miani, BB Zarpelao Simpósio Brasileiro de Segurança da Informação e de Sistemas Computacionais …, 2018 | 66 | 2018 |
| Strict very fast decision tree: a memory conservative algorithm for data stream mining VGT da Costa, ACP de Leon Ferreira, SB Junior Pattern Recognition Letters 116, 22-28, 2018 | 52 | 2018 |
| A framework for human-in-the-loop monitoring of concept-drift detection in event log stream S Barbon Junior, GM Tavares, VGT Da Costa, P Ceravolo, E Damiani Companion proceedings of the the web conference 2018, 319-326, 2018 | 52 | 2018 |
| Deep computer vision system for cocoa classification JF Lopes, VGT da Costa, DF Barbin, LJP Cruz-Tirado, V Baeten, ... Multimedia Tools and Applications 81 (28), 41059-41077, 2022 | 49 | 2022 |
| Overlapping analytic stages in online process mining GM Tavares, P Ceravolo, VGT Da Costa, E Damiani, SB Junior 2019 IEEE International Conference on Services Computing (SCC), 167-175, 2019 | 44 | 2019 |
| Variational prompt tuning improves generalization of vision-language models MM Derakhshani, E Sanchez, A Bulat, VGT da Costa, CGM Snoek, ... | 43 | 2022 |
| Multi-output tree chaining: An interpretative modelling and lightweight multi-target approach SM Mastelini, VGT da Costa, EJ Santana, FK Nakano, RC Guido, R Cerri, ... Journal of Signal Processing Systems 91 (2), 191-215, 2019 | 42 | 2019 |
| Detecting mobile botnets through machine learning and system calls analysis VGT da Costa, S Barbon Jr., RS Miani, JJPC Rodrigues, BB Zarpelão 2017 IEEE International Conference on Communications (ICC), 917-922, 2017 | 37 | 2017 |
| One-class classification to detect botnets in iot devices VH Bezerra, VGT da Costa, SB Junior, RS Miani, BB Zarpelao Simpósio Brasileiro de Segurança da Informação e de Sistemas Computacionais …, 2018 | 30 | 2018 |
| Unsupervised domain adaptation for video transformers in action recognition VGT Da Costa, G Zara, P Rota, T Oliveira-Santos, N Sebe, V Murino, ... 2022 26th International Conference on Pattern Recognition (ICPR), 1258-1265, 2022 | 19 | 2022 |
| Anomaly detection in business process based on data stream mining GM Tavares, VGT da Costa, VE Martins, P Ceravolo, S Barbon Jr Proceedings of the XIV Brazilian symposium on information systems, 1-8, 2018 | 19 | 2018 |
| Scaling laws for native multimodal models M Shukor, E Fini, VGT da Costa, M Cord, J Susskind, A El-Nouby arXiv preprint arXiv:2504.07951, 2025 | 17 | 2025 |
| Benchmarking multi-target regression methods SM Mastelini, EJ Santana, VGT da Costa, S Barbon 2018 7th Brazilian Conference on Intelligent Systems (BRACIS), 396-401, 2018 | 17 | 2018 |
| Deep computer vision system and explainable artificial intelligence applied for classification of dragon fruit (Hylocereus spp.) MV da Silva Ferreira, SB Junior, VGT da Costa, DF Barbin, JL Barbosa Jr Scientia Horticulturae 338, 113605, 2024 | 14 | 2024 |
Sylvio Barbon JuniorUniversity of Trieste, Department of Engineering and ArchitectureVerified email at dia.units.it
