| Machine learning: a practical approach on the statistical learning theory R Fernandes de Mello, M Antonelli Ponti Cham: Springer International Publishing, 2018 | 287* | 2018 |
| Yourtts: Towards zero-shot multi-speaker tts and zero-shot voice conversion for everyone E Casanova, J Weber, CD Shulby, AC Junior, E Gölge, MA Ponti International Conference on Machine Learning, 2709-2720, 2022 | 262 | 2022 |
| Combining Classifiers: from the creation of ensembles to the decision fusion M Ponti Graphics, Patterns and Images Tutorials (SIBGRAPI-T), 2011 24th SIBGRAPI …, 2011 | 176 | 2011 |
| Everything you wanted to know about Deep Learning for Computer Vision but were afraid to ask M Ponti, L Ribeiro, T Nazare, T Bui, J Collomosse SIBGRAPI Conference on Graphics, Patterns and Images, 2017 | 173 | 2017 |
| Fall detection and fall risk assessment in older person using wearable sensors: A systematic review P Bet, PC Castro, MA Ponti International journal of medical informatics 130, 103946, 2019 | 149 | 2019 |
| Sketchformer: Transformer-based representation for sketched structure LSF Ribeiro, T Bui, J Collomosse, M Ponti Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 135 | 2020 |
| Effects of acute cannabidiol administration on anxiety and tremors induced by a Simulated Public Speaking Test in patients with Parkinson’s disease SM de Faria, D de Morais Fabrício, V Tumas, PC Castro, MA Ponti, ... Journal of Psychopharmacology 34 (2), 189-196, 2020 | 125 | 2020 |
| Deep convolutional neural networks and noisy images TS Nazaré, GBP da Costa, WA Contato, M Ponti Iberoamerican Congress on Pattern Recognition, 416-424, 2017 | 104 | 2017 |
| Image quantization as a dimensionality reduction procedure in color and texture feature extraction M Ponti, TS Nazaré, GS Thumé Neurocomputing 173, 385-396, 2016 | 96 | 2016 |
| Segmentation of Low-Cost Remote Sensing Images Combining Vegetation Indices and Mean Shift M Ponti IEEE Geoscience and Remote Sensing Letters 10 (1), 67-70, 2013 | 95 | 2013 |
| Compact descriptors for sketch-based image retrieval using a triplet loss convolutional neural network T Bui, L Ribeiro, M Ponti, J Collomosse Computer Vision and Image Understanding 164, 27-37, 2017 | 88 | 2017 |
| SC-GlowTTS: an Efficient Zero-Shot Multi-Speaker Text-To-Speech Model E Casanova, C Shulby, E Gölge, NM Müller, FS de Oliveira, AC Junior, ... Interspeech 2021, 2021 | 76 | 2021 |
| Sketching out the details: Sketch-based image retrieval using convolutional neural networks with multi-stage regression T Bui, L Ribeiro, M Ponti, J Collomosse Computers & Graphics 71, 77-87, 2018 | 71 | 2018 |
| Feature selection through gravitational search algorithm JP Papa, A Pagnin, SA Schellini, A Spadotto, RC Guido, M Ponti, ... 2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011 | 71 | 2011 |
| A decision cognizant Kullback–Leibler divergence M Ponti, J Kittler, M Riva, T de Campos, C Zor Pattern Recognition 61, 470-478, 2017 | 67 | 2017 |
| Better than Counting Seconds: Identifying Fallers among Healthy Elderly using Fusion of Accelerometer Features and Dual-Task Timed Up and Go M Ponti, P Bet, C Oliveira, PC Castro PLoS one 12 (4), e0175559, 2017 | 64 | 2017 |
| An empirical study on the effects of different types of noise in image classification tasks GBP da Costa, WA Contato, TS Nazare, JES Neto, M Ponti Workshop de Visao Computacional (WVC 2016), 2016 | 54 | 2016 |
| Generalisation and Sharing in Triplet Convnets for Sketch based Visual Search T Bui, L Ribeiro, M Ponti, J Collomosse arXiv preprint arXiv:1611.05301, 2016 | 53 | 2016 |
| Como funciona o Deep Learning MA Ponti, GBP da Costa Tópicos em Gerenciamento de Dados e Informações, 63-93, 2017 | 50 | 2017 |
| Are pre-trained CNNs good feature extractors for anomaly detection in surveillance videos? TS Nazare, RF de Mello, MA Ponti Workshop de Visao Computacional (WVC 2018), 2018 | 49 | 2018 |
Leo Sampaio Ferraz RibeiroPost-doc Researcher, UNICAMP在 ic.unicamp.br 的电子邮件经过验证
