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Lucas S. Kupssinskü
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2020 – today
- 2025
- [j7]Otávio Parraga
, Martin D. Móre
Fairness in Deep Learning: A Survey on Vision and Language Research. ACM Comput. Surv. 57(6): 138:1-138:40 (2025) - 2024
- [c18]Adilson Medronha
LERMO: A Novel Web Game for AI-Enhanced Sign Language Recognition. AAAI 2024: 23352-23359 - [c17]Otávio Parraga, Lucas S. Kupssinskü, Christian Mattjie de Oliveira
One Against Many: Exploring Multi-task Learning Generalization in Source-Code Tasks. IJCNN 2024: 1-8 - [c16]Luis Vinícius de Moura, Rafaela Cappelari Ravazio, Christian Mattjie de Oliveira
Unlocking The Potential Of Vision-Language Models For Mammography Analysis. ISBI 2024: 1-4 - 2023
- [j6]Daniel C. Zanotta
An assisted multi-frame approach for super-resolution in hyperspectral images of rock samples. Comput. Geosci. 181: 105456 (2023) - [c15]Christian Mattjie de Oliveira
Zero-Shot Performance of the Segment Anything Model (SAM) in 2D Medical Imaging: A Comprehensive Evaluation and Practical Guidelines. BIBE 2023: 108-112 - [c14]Rafaela Cappelari Ravazio
Radiomics for Predicting Oxygen Necessity in COVID-19 Patients Using Longitudinal Lung Computed Tomography. BIBE 2023: 272-276 - [i3]Christian Mattjie de Oliveira
Zero-shot performance of the Segment Anything Model (SAM) in 2D medical imaging: A comprehensive evaluation and practical guidelines. CoRR abs/2305.00109 (2023) - 2022
- [j5]Lucian José Gonçales
An empirical evaluation of machine learning techniques to classify code comprehension based on EEG data. Expert Syst. Appl. 203: 117354 (2022) - [j4]Tainá T. Guimarães
A Nondestructive Alternative for Kerogen Type Determination in Potential Hydrocarbon Source Rocks Using Hyperspectral Data and Machine Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 6418-6431 (2022) - [i2]Otávio Parraga, Martin D. Móre, Christian Mattjie de Oliveira, Nathan S. Gavenski, Lucas S. Kupssinskü, Adilson Medronha, Luis Vinícius de Moura, Gabriel S. Simões, Rodrigo C. Barros:
Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey. CoRR abs/2211.05617 (2022) - 2021
- [c13]Tainá Thomassim Guimarães, Lucas Silveira Kupssinskü, Daniel Capella Zanotta, João Gabriel Motta, André Luiz Durante Spigolon, Luiz Gonzaga, Maurício Roberto Veronez:
Kerogen Type Classification in Hydrocarbon Source Rocks Using Hyperspectral Data and Machine Learning. IGARSS 2021: 3633-3636 - [c12]Daniel Capella Zanotta, Ademir Marques Junior, Alysson Soares Aires, Fabiane Bordin, Graciela Eliane dos Reis Racolte, João Gabriel Motta, Lucas S. Kupssinskü, Marianne Müller, Rafael Kenji Horota, Tainá Thomassim Guimarães, Vinícius Sales, Caroline Lessio Cazarin, Luiz Gonzaga, Maurício Roberto Veronez:
A Multi-Looking Approach for Spatial Super-Resolution on Laboratory-Based Hyperspectral Images. IGARSS 2021: 3869-3872 - [c11]Tainá Thomassim Guimarães, Diego Henrique Diemmer Mariani, Lucas Silveira Kupssinskü, Pedro Rossa, Rafael Kenji Horota, Rafael de Freitas, Luiz Roupinha, Branda Eloá Weppo, Aline Weschenfelder, André Luiz Durante Spigolon, Luiz Gonzaga, Maurício Roberto Veronez:
Mosis Lab Hyperspectral - Visualization and Correlation of Hyperspectral Data on Immersive Virtual Reality. IGARSS 2021: 5747-5750 - [c10]Lucas Silveira Kupssinskü, Tainá Thomassim Guimarães, Caroline Lessio Cazarin, Luiz Gonzaga, Maurício Roberto Veronez:
Vizspectraldata: a WEB-Based Application for Hyperspectral Data Visualization. IGARSS 2021: 5751-5754 - [i1]Gabriel Lopes Nunes, Kleinner Farias, Lucas Silveira Kupssinskü:
Parthenos: A Source Code Injection Approach for Software Transformation. CoRR abs/2105.05407 (2021) - 2020
- [j3]Lucas Silveira Kupssinskü
A Method for Chlorophyll-a and Suspended Solids Prediction through Remote Sensing and Machine Learning. Sensors 20(7): 2125 (2020) - [j2]Ademir Marques Junior
Improving Spatial Resolution of Multispectral Rock Outcrop Images Using RGB Data and Artificial Neural Networks. Sensors 20(12): 3559 (2020) - [c9]Eniuce Menezes De Souza, Ademir Marques Jr., Rafael Kenji Horota, Lucas S. Kupssinskü, Pedro Rossa, Alysson Soares Aires, Luiz Gonzaga da Silveira Jr., Maurício Roberto Veronez, Caroline Lessio Cazarin:
How Much Wavelet Decomposition can Improve the Detection of Surface Fractures in Remote Sensing Images? IGARSS 2020: 2619-2622 - [c8]Lucian José Gonçales
Evaluation of machine learning techniques to classify code comprehension based on developers' EEG data. IHC 2020: 17:1-17:10
2010 – 2019
- 2019
- [c7]Pedro Rossa, Rafael Kenji Horota, Alysson Soares Aires, Lucas Silveira Kupssinskü
VROffice: interactive and immersive 3D visualization, manipulation and correlation of multivariable georeferenced datasets in virtual reality (Demo Paper). SIGSPATIAL/GIS 2019: 600-603 - [c6]Ademir Marques Junior, Pedro Rossa, Rafael Kenji Horota, Diego Brum, Eniuce Menezes De Souza, Alysson Soares Aires, Lucas S. Kupssinskü
Improving spatial resolution of LANDSAT spectral bands from a single RGB image using artificial neural network. ICST 2019: 1-6 - [c5]Lucas Silveira Kupssinskü
Prediction of chlorophyll-a and suspended solids through remote sensing and artificial neural networks. ICST 2019: 1-6 - [c4]Michael William Chagas, Kleinner Farias
Hermes: A Natural Language Interface Model for Software Transformation. SBSI 2019: 43:1-43:8 - [c3]Maurício Roberto Veronez, Luiz Gonzaga Jr.
Imspector: Immersive System of Inspection of Bridges/Viaducts. VR 2019: 1203-1204 - 2018
- [j1]Maurício Roberto Veronez
Proposal of a Method to Determine the Correlation between Total Suspended Solids and Dissolved Organic Matter in Water Bodies from Spectral Imaging and Artificial Neural Networks. Sensors 18(1): 159 (2018) - [c2]Rodrigo Marques de Figueiredo, Maurício Roberto Veronez, Francisco Manoel Wohnrath Tognoli, Marcio Rosa da Silva, Luiz Gonzaga Jr.
Artificial neural network-based method to classify sedimentary rocks. ICST 2018: 282-286 - [c1]Maurício Roberto Veronez, Luiz Gonzaga Jr.
RIDERS: Road Inspection & Driver Simulation. VR 2018: 715-716
Coauthor Index
aka: Maurício Veronez
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last updated on 2025-05-12 21:44 CEST by the dblp team
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