Victor G. T. da Costa

According to our database, Victor G. T. da Costa authored at least 26 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Simplifying open-set video domain adaptation with contrastive learning.

Giacomo Zara, Victor Guilherme Turrisi da Costa, Subhankar Roy, Paolo Rota, Elisa Ricci

Comput. Vis. Image Underst., 2024

2023

Diversified in-domain synthesis with efficient fine-tuning for few-shot classification.

Victor G. Turrisi da Costa, Nicola Dall'Asen, Yiming Wang, Nicu Sebe, Elisa Ricci

CoRR, 2023

Bayesian Prompt Learning for Image-Language Model Generalization.

Mohammad Mahdi Derakhshani, Enrique Sanchez, Adrian Bulat, Victor Guilherme Turrisi da Costa, Cees G. M. Snoek, Georgios Tzimiropoulos, Brais Martínez

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Deep computer vision system for cocoa classification.

Jessica Fernandes Lopes, Victor G. Turrisi da Costa, Douglas Fernandes Barbin, Luis Jam Pier Cruz-Tirado, Baeten Vincent, Sylvio Barbon Junior

Multim. Tools Appl., 2022

solo-learn: A Library of Self-supervised Methods for Visual Representation Learning.

Victor Guilherme Turrisi da Costa, Enrico Fini, Moin Nabi, Nicu Sebe, Elisa Ricci

J. Mach. Learn. Res., 2022

Variational prompt tuning improves generalization of vision-language models.

Mohammad Mahdi Derakhshani, Enrique Sanchez, Adrian Bulat, Victor Guilherme Turrisi da Costa, Cees G. M. Snoek, Georgios Tzimiropoulos, Brais Martínez

CoRR, 2022

Dual-Head Contrastive Domain Adaptation for Video Action Recognition.

Victor G. Turrisi da Costa, Giacomo Zara, Paolo Rota, Thiago Oliveira-Santos, Nicu Sebe, Vittorio Murino, Elisa Ricci

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Unsupervised Domain Adaptation for Video Transformers in Action Recognition.

Victor G. Turrisi da Costa, Giacomo Zara, Paolo Rota, Thiago Oliveira-Santos, Nicu Sebe, Vittorio Murino, Elisa Ricci

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Self-Supervised Models are Continual Learners.

Enrico Fini, Victor G. Turrisi da Costa, Xavier Alameda-Pineda, Elisa Ricci, Karteek Alahari, Julien Mairal

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020

Evaluating the Four-Way Performance Trade-Off for Data Stream Classification in Edge Computing.

Jessica Fernandes Lopes, Everton Jose Santana, Victor G. Turrisi da Costa, Bruno Bogaz Zarpelão, Sylvio Barbon Junior

IEEE Trans. Netw. Serv. Manag., 2020

Active Learning Embedded in Incremental Decision Trees.

Vinicius Eiji Martins, Victor G. Turrisi da Costa, Sylvio Barbon Junior

Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

2019

Multi-Output Tree Chaining: An Interpretative Modelling and Lightweight Multi-Target Approach.

Saulo Martiello Mastelini, Victor Guilherme Turrisi da Costa, Everton Jose Santana, Felipe Kenji Nakano, Rodrigo Capobianco Guido, Ricardo Cerri, Sylvio Barbon Junior

J. Signal Process. Syst., 2019

IoTDS: A One-Class Classification Approach to Detect Botnets in Internet of Things Devices.

Vitor Hugo Bezerra, Victor Guilherme Turrisi da Costa, Sylvio Barbon Junior, Rodrigo Sanches Miani, Bruno Bogaz Zarpelão

Sensors, 2019

Leveraging Anomaly Detection in Business Process with Data Stream Mining.

Gabriel Marques Tavares, Victor Guilherme Turrisi da Costa, Vinicius Eiji Martins, Paolo Ceravolo, Sylvio Barbon Jr.

Braz. J. Inf. Syst., 2019

Mobile botnets detection based on machine learning over system calls.

Victor G. T. da Costa, Sylvio Barbon Junior, Rodrigo Sanches Miani, Joel J. P. C. Rodrigues, Bruno Bogaz Zarpelão

Int. J. Secur. Networks, 2019

Evaluating the Four-Way Performance Trade-Off for Stream Classification.

Victor G. Turrisi da Costa, Everton Jose Santana, Jessica Fernandes Lopes, Sylvio Barbon Jr.

Proceedings of the Green, Pervasive, and Cloud Computing - 14th International Conference, 2019

Online Local Boosting: Improving Performance in Online Decision Trees.

Victor Guilherme Turrisi da Costa, Saulo Martiello Mastelini, André Carlos Ponce de Leon Ferreira de Carvalho, Sylvio Barbon

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

Overlapping Analytic Stages in Online Process Mining.

Gabriel Marques Tavares, Paolo Ceravolo, Victor G. Turrisi da Costa, Ernesto Damiani, Sylvio Barbon Junior

Proceedings of the 2019 IEEE International Conference on Services Computing, 2019

2018

Strict Very Fast Decision Tree: A memory conservative algorithm for data stream mining.

Victor Guilherme Turrisi da Costa, André Carlos Ponce de Leon Ferreira de Carvalho, Sylvio Barbon Junior

Pattern Recognit. Lett., 2018

A Framework for Human-in-the-loop Monitoring of Concept-drift Detection in Event Log Stream.

Sylvio Barbon Junior, Gabriel Marques Tavares, Victor G. Turrisi da Costa, Paolo Ceravolo, Ernesto Damiani

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Anomaly Detection in Business Process based on Data Stream Mining.

Gabriel Marques Tavares, Victor G. Turrisi da Costa, Vinicius Eiji Martins, Paolo Ceravolo, Sylvio Barbon Junior

Proceedings of the XIV Brazilian Symposium on Information Systems, 2018

Online detection of Botnets on Network Flows using Stream Mining.

Victor G. Turrisi da Costa, Bruno Bogaz Zarpelão, Rodrigo Sanches Miani, Sylvio Barbon Junior

Proceedings of the XXXVI Brazilian Symposium on Computer Networks and Distributed Systems, 2018

U-Healthcare System for Pre-Diagnosis of Parkinson's Disease from Voice Signal.

Sylvio Barbon Junior, Victor G. Turrisi da Costa, Shi-Huang Chen, Rodrigo Capobianco Guido

Proceedings of the 2018 IEEE International Symposium on Multimedia, 2018

Benchmarking Multi-target Regression Methods.

Saulo Martiello Mastelini, Everton Jose Santana, Victor Guilherme Turrisi da Costa, Sylvio Barbon

Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

Making Data Stream Classification Tree-Based Ensembles Lighter.

Victor G. Turrisi da Costa, Saulo Martiello Mastelini, André C. P. L. F. de Carvalho, Sylvio Barbon

Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017

Detecting mobile botnets through machine learning and system calls analysis.

Victor G. T. da Costa, Sylvio Barbon, Rodrigo Sanches Miani, Joel J. P. C. Rodrigues, Bruno Bogaz Zarpelão

Proceedings of the IEEE International Conference on Communications, 2017