Lucas S. Kupssinskü
Orcid: 0000-0003-2580-3996
According to our database1,
Lucas S. Kupssinskü
authored at least 24 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
An assisted multi-frame approach for super-resolution in hyperspectral images of rock samples.
Comput. Geosci., December, 2023
Radiomics for Predicting Oxygen Necessity in COVID-19 Patients Using Longitudinal Lung Computed Tomography.
Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023
Zero-Shot Performance of the Segment Anything Model (SAM) in 2D Medical Imaging: A Comprehensive Evaluation and Practical Guidelines.
Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023
2022
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., 2022
An empirical evaluation of machine learning techniques to classify code comprehension based on EEG data.
Expert Syst. Appl., 2022
Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey.
CoRR, 2022
2021
A Multi-Looking Approach for Spatial Super-Resolution on Laboratory-Based Hyperspectral Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Mosis Lab Hyperspectral - Visualization and Correlation of Hyperspectral Data on Immersive Virtual Reality.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Kerogen Type Classification in Hydrocarbon Source Rocks Using Hyperspectral Data and Machine Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
A Method for Chlorophyll-a and Suspended Solids Prediction through Remote Sensing and Machine Learning.
Sensors, 2020
Improving Spatial Resolution of Multispectral Rock Outcrop Images Using RGB Data and Artificial Neural Networks.
Sensors, 2020
Evaluation of machine learning techniques to classify code comprehension based on developers' EEG data.
Proceedings of the IHC '20: XIX Brazilian Symposium on Human Factors in Computing Systems, 2020
How Much Wavelet Decomposition can Improve the Detection of Surface Fractures in Remote Sensing Images?
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces, 2019
Proceedings of the XV Brazilian Symposium on Information Systems, 2019
Prediction of chlorophyll-a and suspended solids through remote sensing and artificial neural networks.
Proceedings of the 13th International Conference on Sensing Technology, 2019
Improving spatial resolution of LANDSAT spectral bands from a single RGB image using artificial neural network.
Proceedings of the 13th International Conference on Sensing Technology, 2019
VROffice: interactive and immersive 3D visualization, manipulation and correlation of multivariable georeferenced datasets in virtual reality (Demo Paper).
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019
2018
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, 2018
Proceedings of the 2018 IEEE Conference on Virtual Reality and 3D User Interfaces, 2018
Proceedings of the 12th International Conference on Sensing Technology, 2018