| A method for chlorophyll-a and suspended solids prediction through remote sensing and machine learning L Silveira Kupssinskü, T Thomassim Guimarães, E Menezes de Souza, ... Sensors 20 (7), 2125, 2020 | 74 | 2020 |
| Virtual and digital outcrops in the petroleum industry: A systematic review A Marques Jr, RK Horota, EM de Souza, L Kupssinskü, P Rossa, AS Aires, ... Earth-Science Reviews, 103260, 2020 | 66 | 2020 |
| Fairness in deep learning: A survey on vision and language research O Parraga, MD More, CM Oliveira, NS Gavenski, LS Kupssinskü, ... ACM Computing Surveys, 2023 | 32* | 2023 |
| Zero-shot performance of the Segment Anything Model (SAM) in 2D medical imaging: A comprehensive evaluation and practical guidelines C Mattjie, LV De Moura, R Ravazio, L Kupssinsku, O Parraga, MM Delucis, ... 2023 IEEE 23rd International Conference on Bioinformatics and Bioengineering …, 2023 | 30* | 2023 |
| 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 M R. Veronez, LS Kupssinskü, T T. Guimarães, EC Koste, JM Da Silva, ... Sensors 18 (1), 159, 2018 | 20 | 2018 |
| An empirical evaluation of machine learning techniques to classify code comprehension based on EEG data LJ Gonçales, K Farias, LS Kupssinskü, M Segalotto Expert Systems with Applications 203, 117354, 2022 | 9 | 2022 |
| The effects of applying filters on EEG signals for classifying developers’ code comprehension LJ Gonçales, K Farias, L Kupssinskü, M Segalotto Journal of applied research and technology 19 (6), 584-602, 2021 | 9 | 2021 |
| RIDERS: Road Inspection & Driver Simulation MR Veronez, L Gonzaga, F Bordin, L Kupssinsku, GL Kannenberg, ... 2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 715-716, 2018 | 9 | 2018 |
| Evaluation of machine learning techniques to classify code comprehension based on developers' EEG data LJ Gonçales, K Farias, LS Kupssinskü, M Segalotto Proceedings of the 19th Brazilian Symposium on Human Factors in Computing …, 2020 | 6 | 2020 |
| Improving spatial resolution of multispectral rock outcrop images using RGB data and artificial neural networks A Marques Junior, EM De Souza, M Müller, D Brum, DC Zanotta, ... Sensors 20 (12), 3559, 2020 | 5 | 2020 |
| Prediction of chlorophyll-a and suspended solids through remote sensing and artificial neural networks LS Kupssinskü, TT Guimarães, R de Freitas, EM De Souza, P Rossa, ... 2019 13th International Conference on Sensing Technology (ICST), 1-6, 2019 | 5 | 2019 |
| Imspector: Immersive system of inspection of bridges/viaducts MR Veronez, L Gonzaga, F Bordin, LC Inocencio, G Eliane, ... 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 1203-1204, 2019 | 4 | 2019 |
| Hyperspectral data as a proxy for porosity estimation of carbonate rocks LS Kupssinskü, TT Guimarães, MB Cardoso, L Bachi, D Zanotta, ... Australian Journal of Earth Sciences 69 (6), 861-875, 2022 | 3 | 2022 |
| Mosis lab hyperspectral-visualization and correlation of hyperspectral data on immersive virtual reality TT Guimarães, DHD Mariani, LS Kupssinskü, P Rossa, RK Horota, ... 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 5747 …, 2021 | 3 | 2021 |
| An assisted multi-frame approach for super-resolution in hyperspectral images of rock samples DC Zanotta, AM Junior, JG Motta, V Sales, TT Guimarães, LS Kupssinsku, ... Computers & Geosciences 181, 105456, 2023 | 2 | 2023 |
| Kerogen type classification in hydrocarbon source rocks using hyperspectral data and machine learning TT Guimarães, LS Kupssinskü, DC Zanotta, JG Motta, ALD Spigolon, ... 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 3633 …, 2021 | 2 | 2021 |
| Improving spatial resolution of LANDSAT spectral bands from a single RGB image using artificial neural network A Marques, P Rossa, RK Horota, D Brum, EM De Souza, AS Aires, ... 2019 13th International Conference on Sensing Technology (ICST), 1-6, 2019 | 2 | 2019 |
| VROffice: interactive and immersive 3D visualization, manipulation and correlation of multivariable georeferenced datasets in virtual reality (Demo Paper) P Rossa, RK Horota, AS Aires, LS Kupssinskü, CJ Kremer, EM Souza, ... Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances …, 2019 | 2 | 2019 |
| MITRAS Intelligent Model for Software Transformation LS Küpssinski, JC Gluz Computer on the Beach (2018), 921-923, 2018 | 2 | 2018 |
| A nondestructive alternative for kerogen type determination in potential hydrocarbon source rocks using hyperspectral data and machine learning TT Guimarães, LS Kupssinskü, MB Cardoso, L Bachi, AS Aires, EC Koste, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 1 | 2022 |
Luiz Gonzaga JrPrograma de Pós-graduação em Computação Aplicada, Unisinos在 unisinos.br 的电子邮件经过验证
