| Interactive low‐dimensional human motion synthesis by combining motion models and PIK SR Carvalho, R Boulic, D Thalmann Computer Animation and Virtual Worlds 18 (4‐5), 493-503, 2007 | 41 | 2007 |
| Plant classification from leaf textures AC Siravenha, SR Carvalho 2016 International Conference on Digital Image Computing: Techniques and …, 2016 | 24 | 2016 |
| Exploring the use of leaf shape frequencies for plant classification ACQ Siravenha, SR Carvalho 2015 28th SIBGRAPI Conference on Graphics, Patterns and Images, 297-304, 2015 | 18 | 2015 |
| System for mapping and identification of plants using digital image processing and route generation CRB De Souza, SR De Carvalho, PWM e Souza Filho, ... US Patent 9,251,420, 2016 | 17 | 2016 |
| A deep learning approach for classification of reaching targets from EEG images SR Carvalho, I Cordeiro Filho, DO De Resende, AC Siravenha, ... 2017 30th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI …, 2017 | 15 | 2017 |
| Quantifying effects of stochasticity in reference frame transformations on posterior distributions H Alikhanian, SRD Carvalho, G Blohm Frontiers in computational neuroscience 9, 82, 2015 | 15 | 2015 |
| Experimenting on the cognitive walkthrough with users W Lira, R Ferreira, C de Souza, S Carvalho Proceedings of the 16th international conference on Human-computer …, 2014 | 14 | 2014 |
| An ensemble of convolutional neural networks for unbalanced datasets: A case study with wagon component inspection E Fernandes, RL Rocha, B Ferreira, E Carvalho, AC Siravenha, ... 2018 International Joint Conference on Neural Networks (IJCNN), 1-6, 2018 | 9 | 2018 |
| Avaliação de técnicas de Deep Learning aplicadas à identificação de peças defeituosas em vagões de trem RL Rocha, ACQ Siravenha, ACS Gomes, GL Serejo, AFB Silva, ... Workshop of Industry Applications (WIA) in the 30th Conference on Graphics …, 2017 | 7 | 2017 |
| Motion pattern preserving ik operating in the motion principal coefficients space SR Carvalho, R Boulic, D Thalmann Václav Skala-UNION Agency, 2007 | 7 | 2007 |
| Latent motion spaces for full-body motion editing SR Carvalho, R Boulic, CA Vidal, D Thalmann The Visual Computer 29 (3), 171-188, 2013 | 6 | 2013 |
| Residual MLP Network for Mental Fatigue Classification in Mining Workers from Brain Data ACQ Siravenha, MNF Reis, I Cordeiro, RA Tourinho, BD Gomes, ... 2019 8th Brazilian Conference on Intelligent Systems (BRACIS), 407-412, 2019 | 4 | 2019 |
| Image inspection of railcar structural components: An approach through deep learning and discrete Fourier transform RL Rocha, CD Silva, ACS Gomes, BV Ferreira, EC Carvalho, ... Anais do VII Symposium on Knowledge Discovery, Mining and Learning, 33-40, 2019 | 4 | 2019 |
| A deep-learning-based approach for automated wagon component inspection RL Rocha, ACQ Siravenha, ACS Gomes, GL Serejo, AFB Silva, ... Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 276-283, 2018 | 4 | 2018 |
| A Novel Procedure for Classification of Early Human Actions from EEG Signals SR de Carvalho, I Cordeiro Filho, DCO de Resende, ACQ Siravenha, ... 2017 Brazilian Conference on Intelligent Systems (BRACIS), 240-245, 2017 | 4 | 2017 |
| Motion pattern encapsulation for data-driven constraint-based motion editing SR Carvalho, R Boulic, D Thalmann International Workshop on Motion in Games, 116-127, 2009 | 4 | 2009 |
| Cambio: realistic three dimensional simulation of humanoids based on computer vision and robotics CC Aranha, SR Carvalho, LMG GONCalvez Proceedings. XV Brazilian Symposium on Computer Graphics and Image …, 2002 | 3 | 2002 |
| Anticipatory eeg signals for detecting and classifying game interaction onset A Gomes, F Santos, W Lira, B Gomes, SR Carvalho 2015 XVII Symposium on Virtual and Augmented Reality, 31-32, 2015 | 2 | 2015 |
| Data-driven constraint-based motion editing SR Carvalho EPFL, 2009 | 2 | 2009 |
| Evaluation of Functional Brain Connectivity correlated with Power Spectrum Density during Mental Fatigue MNR Ferreira, ACQ Siravenha, C Iraquitan Filho, BD Gomes, ... Anais do VII Symposium on Knowledge Discovery, Mining and Learning, 41-48, 2019 | | 2019 |
