Victor G. T. da Costa

Orcid: 0000-0003-2597-4998

According to our database1, Victor G. T. da Costa authored at least 26 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Simplifying open-set video domain adaptation with contrastive learning.
Comput. Vis. Image Underst., 2024

2023
Diversified in-domain synthesis with efficient fine-tuning for few-shot classification.
CoRR, 2023

Bayesian Prompt Learning for Image-Language Model Generalization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Deep computer vision system for cocoa classification.
Multim. Tools Appl., 2022

solo-learn: A Library of Self-supervised Methods for Visual Representation Learning.
J. Mach. Learn. Res., 2022

Variational prompt tuning improves generalization of vision-language models.
CoRR, 2022

Dual-Head Contrastive Domain Adaptation for Video Action Recognition.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Unsupervised Domain Adaptation for Video Transformers in Action Recognition.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Self-Supervised Models are Continual Learners.
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.
IEEE Trans. Netw. Serv. Manag., 2020

Active Learning Embedded in Incremental Decision Trees.
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

2019
Multi-Output Tree Chaining: An Interpretative Modelling and Lightweight Multi-Target Approach.
J. Signal Process. Syst., 2019

IoTDS: A One-Class Classification Approach to Detect Botnets in Internet of Things Devices.
Sensors, 2019

Leveraging Anomaly Detection in Business Process with Data Stream Mining.
Braz. J. Inf. Syst., 2019

Mobile botnets detection based on machine learning over system calls.
Int. J. Secur. Networks, 2019

Evaluating the Four-Way Performance Trade-Off for Stream Classification.
Proceedings of the Green, Pervasive, and Cloud Computing - 14th International Conference, 2019

Online Local Boosting: Improving Performance in Online Decision Trees.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

Overlapping Analytic Stages in Online Process Mining.
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.
Pattern Recognit. Lett., 2018

A Framework for Human-in-the-loop Monitoring of Concept-drift Detection in Event Log Stream.
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.
Proceedings of the XIV Brazilian Symposium on Information Systems, 2018

Online detection of Botnets on Network Flows using Stream Mining.
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.
Proceedings of the 2018 IEEE International Symposium on Multimedia, 2018

Benchmarking Multi-target Regression Methods.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

Making Data Stream Classification Tree-Based Ensembles Lighter.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017
Detecting mobile botnets through machine learning and system calls analysis.
Proceedings of the IEEE International Conference on Communications, 2017


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