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 (ICC, 2017)

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 (BRACIS, 2018)

Benchmarking Multi-target Regression Methods. - Saulo Martiello Mastelini; Everton Jose Santana; Victor Guilherme Turrisi da Costa; Sylvio Barbon (BRACIS, 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 (ISM, 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 (SBRC, 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 (SBSI, 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 (WWW (Companion Volume), 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)

Overlapping Analytic Stages in Online Process Mining. - Gabriel Marques Tavares; Paolo Ceravolo; Victor G. Turrisi da Costa; Ernesto Damiani; Sylvio Barbon Junior (SCC, 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 (BRACIS, 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. (GPC, 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)

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)

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)

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)

Active Learning Embedded in Incremental Decision Trees. - Vinicius Eiji Martins; Victor G. Turrisi da Costa; Sylvio Barbon Junior (BRACIS (2), 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)

Self-Supervised Models are Continual Learners. - Enrico Fini; Victor G. Turrisi da Costa; Xavier Alameda-Pineda; Elisa Ricci 001; Karteek Alahari; Julien Mairal (CVPR, 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 001 (ICPR, 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 001 (WACV, 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)

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 001 (J. Mach. Learn. Res., 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)

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 (ICCV, 2023)

Diversified in-domain synthesis with efficient fine-tuning for few-shot classification. - Victor G. Turrisi da Costa; Nicola Dall'Asen; Yiming Wang 002; Nicu Sebe; Elisa Ricci 001 (CoRR, 2023)

Enhancing the Domain Robustness of Self-Supervised pre-Training with Synthetic Images. - Mohamad Hassan N C; Avigyan Bhattacharya; Victor G. Turrisi da Costa; Biplab Banerjee; Elisa Ricci 001 (ICASSP, 2024)

Simplifying open-set video domain adaptation with contrastive learning. - Giacomo Zara; Victor Guilherme Turrisi da Costa; Subhankar Roy; Paolo Rota; Elisa Ricci 001 (Comput. Vis. Image Underst., 2024)

Multimodal Autoregressive Pre-training of Large Vision Encoders. - Enrico Fini; Mustafa Shukor; Xiujun Li; Philipp Dufter; Michal Klein; David Haldimann; Sai Aitharaju; Victor G. Turrisi da Costa; Louis Béthune; Zhe Gan; Alexander Toshev; Marcin Eichner; et al. (CVPR, 2025)

Scaling Laws for Native Multimodal Models. - Mustafa Shukor; Enrico Fini; Victor Guilherme Turrisi da Costa; Matthieu Cord; Joshua M. Susskind; Alaaeldin El-Nouby (CoRR, 2025)