Victor Guilherme Turrisi da Costa

15 papers A* 1Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Scaling Laws for Native Multimodal Models. CoRR Mustafa Shukor, Enrico Fini, Victor Guilherme Turrisi da Costa, Matthieu Cord, Joshua M. Susskind, Alaaeldin El-Nouby
2024	J	`jnl`	Multimodal Autoregressive Pre-training of Large Vision Encoders. CoRR Enrico Fini, Mustafa Shukor, Xiujun Li, Philipp Dufter, Michal Klein, David Haldimann, Sai Aitharaju, Victor Guilherme Turrisi da Costa, Louis Béthune, Zhe Gan, Alexander T. Toshev, Marcin Eichner, Moin Nabi, Yinfei Yang, Joshua M. Susskind, Alaaeldin El-Nouby
2024	—	`—`	Self-supervised Learning Methods for Vision-based Tasks. Victor Guilherme Turrisi da Costa
2024	J	`jnl`	Simplifying open-set video domain adaptation with contrastive learning. Comput. Vis. Image Underst. Giacomo Zara, Victor Guilherme Turrisi da Costa, Subhankar Roy, Paolo Rota, Elisa Ricci
2023	A*	`conf`	Bayesian Prompt Learning for Image-Language Model Generalization. ICCV Mohammad Mahdi Derakhshani, Enrique Sanchez, Adrian Bulat, Victor Guilherme Turrisi da Costa, Cees G. M. Snoek, Georgios Tzimiropoulos, Brais Martínez
2023	J	`jnl`	Simplifying Open-Set Video Domain Adaptation with Contrastive Learning. CoRR Giacomo Zara, Victor Guilherme Turrisi da Costa, Subhankar Roy, Paolo Rota, Elisa Ricci
2022	J	`jnl`	Variational prompt tuning improves generalization of vision-language models. CoRR Mohammad Mahdi Derakhshani, Enrique Sanchez, Adrian Bulat, Victor Guilherme Turrisi da Costa, Cees G. M. Snoek, Georgios Tzimiropoulos, Brais Martínez
2022	J	`jnl`	solo-learn: A Library of Self-supervised Methods for Visual Representation Learning. J. Mach. Learn. Res. Victor Guilherme Turrisi da Costa, Enrico Fini, Moin Nabi, Nicu Sebe, Elisa Ricci
2019	J	`jnl`	IoTDS: A One-Class Classification Approach to Detect Botnets in Internet of Things Devices. Sensors Vitor Hugo Bezerra, Victor Guilherme Turrisi da Costa, Sylvio Barbon Junior, Rodrigo Sanches Miani, Bruno Bogaz Zarpelão
2019	J	`jnl`	Leveraging Anomaly Detection in Business Process with Data Stream Mining. Braz. J. Inf. Syst. Gabriel Marques Tavares, Victor Guilherme Turrisi da Costa, Vinicius Eiji Martins, Paolo Ceravolo, Sylvio Barbon Jr.
2019	J	`jnl`	Multi-Output Tree Chaining: An Interpretative Modelling and Lightweight Multi-Target Approach. J. Signal Process. Syst. Saulo Martiello Mastelini, Victor Guilherme Turrisi da Costa, Everton Jose Santana, Felipe Kenji Nakano, Rodrigo Capobianco Guido, Ricardo Cerri, Sylvio Barbon Junior
2019	—	`conf`	Online Local Boosting: Improving Performance in Online Decision Trees. BRACIS Victor Guilherme Turrisi da Costa, Saulo Martiello Mastelini, André Carlos Ponce de Leon Ferreira de Carvalho, Sylvio Barbon
2018	—	`conf`	Benchmarking Multi-target Regression Methods. BRACIS Saulo Martiello Mastelini, Everton Jose Santana, Victor Guilherme Turrisi da Costa, Sylvio Barbon
2018	J	`jnl`	Strict Very Fast Decision Tree: A memory conservative algorithm for data stream mining. Pattern Recognit. Lett. Victor Guilherme Turrisi da Costa, André Carlos Ponce de Leon Ferreira de Carvalho, Sylvio Barbon Junior
2018	J	`jnl`	Strict Very Fast Decision Tree: a memory conservative algorithm for data stream mining. CoRR Victor Guilherme Turrisi da Costa, André Carlos Ponce de Leon Ferreira de Carvalho, Sylvio Barbon Junior