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ORCIDMoacir Ponti
Moacir A. Ponti – Moacir Antonelli Ponti – Moacir P. Ponti Jr.
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- affiliation: Universidade de São Paulo, São Carlos, SP, Brasil
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Books and Theses
- 2018
[b1]Rodrigo Fernandes de Mello, Moacir Antonelli Ponti
:
Machine Learning - A Practical Approach on the Statistical Learning Theory. Springer 2018, ISBN 978-3-319-94988-8, pp. 1-362
Journal Articles
- 2025
- [j26]Otávio V. Ribeiro-Filho, Moacir A. Ponti, Millaray Curilem, Ricardo Araújo Rios:
Integrating wavelet transformation for end-to-end direct signal classification. Digit. Signal Process. 156: 104878 (2025) - 2024
- [j25]Victor Hugo Andrade Soares, Moacir A. Ponti, Ricardo J. G. B. Campello:
Multi-attribute, graph-based approach for duplicate cattle removal and counting in large pasture areas from multiple aerial images. Comput. Electron. Agric. 220: 108828 (2024) - 2023
- [j24]Leo Sampaio Ferraz Ribeiro, Tu Bui, John P. Collomosse, Moacir Ponti:
Scene designer: compositional sketch-based image retrieval with contrastive learning and an auxiliary synthesis task. Multim. Tools Appl. 82(24): 38117-38139 (2023) - 2022
- [j23]Edresson Casanova, Arnaldo Cândido Júnior, Christopher Shulby, Frederico Santos de Oliveira, João Paulo Ramos Teixeira, Moacir Antonelli Ponti, Sandra M. Aluísio:
TTS-Portuguese Corpus: a corpus for speech synthesis in Brazilian Portuguese. Lang. Resour. Evaluation 56(3): 1043-1055 (2022) - [j22]Fábio Felix Dias, Moacir Antonelli Ponti, Rosane Minghim:
A classification and quantification approach to generate features in soundscape ecology using neural networks. Neural Comput. Appl. 34(3): 1923-1937 (2022) - [j21]Damares Crystina Oliveira de Resende, Moacir Antonelli Ponti:
Robust image features for classification and zero-shot tasks by merging visual and semantic attributes. Neural Comput. Appl. 34(6): 4459-4471 (2022) - 2021
- [j20]Sonia Castelo, Moacir Ponti, Rosane Minghim:
A Visual Mining Approach to Improved Multiple- Instance Learning. Algorithms 14(12): 344 (2021) - [j19]Victor Hugo Andrade Soares, Moacir A. Ponti, R. A. Gonçalves, Ricardo J. G. B. Campello:
Cattle counting in the wild with geolocated aerial images in large pasture areas. Comput. Electron. Agric. 189: 106354 (2021) - [j18]Maristela Terto de Holanda, Daniel Cardoso Moraes de Oliveira, Moacir Antonelli Ponti:
Frontmatter. J. Inf. Data Manag. 12(1) (2021) - [j17]Maristela Terto de Holanda, Daniel Cardoso Moraes de Oliveira, Moacir Antonelli Ponti:
Editorial. J. Inf. Data Manag. 12(1) (2021) - [j16]Luis H. S. Vogado, Rodrigo Veras, Kelson Rômulo Teixeira Aires, Flávio H. D. Araújo, Romuere R. V. Silva, Moacir Ponti, João Manuel R. S. Tavares:
Diagnosis of Leukaemia in Blood Slides Based on a Fine-Tuned and Highly Generalisable Deep Learning Model. Sensors 21(9): 2989 (2021) - 2020
- [j15]Fernando Pereira dos Santos, Cemre Zor, Josef Kittler, Moacir A. Ponti:
Learning image features with fewer labels using a semi-supervised deep convolutional network. Neural Networks 132: 131-143 (2020) - 2019
- [j14]Moacir A. Ponti, Gabriel B. Paranhos da Costa, Fernando Pereira dos Santos, Kaue U. Silveira:
Supervised and unsupervised relevance sampling in handcrafted and deep learning features obtained from image collections. Appl. Soft Comput. 80: 414-424 (2019) - [j13]Patricia Bet, Paula C. Castro, Moacir A. Ponti:
Fall detection and fall risk assessment in older person using wearable sensors: A systematic review. Int. J. Medical Informatics 130 (2019) - [j12]Luiz F. S. Coletta, Moacir Ponti, Eduardo R. Hruschka, Ayan Acharya, Joydeep Ghosh:
Combining clustering and active learning for the detection and learning of new image classes. Neurocomputing 358: 150-165 (2019) - [j11]Fernando Pereira dos Santos, Leonardo Sampaio Ferraz Ribeiro, Moacir A. Ponti:
Generalization of feature embeddings transferred from different video anomaly detection domains. J. Vis. Commun. Image Represent. 60: 407-416 (2019) - 2018
- [j10]Tu Bui, Leonardo Sampaio Ferraz Ribeiro, Moacir Ponti, John P. Collomosse:
Sketching out the details: Sketch-based image retrieval using convolutional neural networks with multi-stage regression. Comput. Graph. 71: 77-87 (2018) - 2017
- [j9]Tu Bui, Leonardo Sampaio Ferraz Ribeiro, Moacir Ponti, John P. Collomosse:
Compact descriptors for sketch-based image retrieval using a triplet loss convolutional neural network. Comput. Vis. Image Underst. 164: 27-37 (2017) - [j8]Moacir Ponti, Mateus Riva:
An incremental linear-time learning algorithm for the Optimum-Path Forest classifier. Inf. Process. Lett. 126: 1-6 (2017) - [j7]Moacir Ponti, Josef Kittler, Mateus Riva, Teófilo Emídio de Campos, Cemre Zor:
A decision cognizant Kullback-Leibler divergence. Pattern Recognit. 61: 470-478 (2017) - 2016
- [j6]Moacir Ponti, Arthur A. Chaves, Fábio R. Jorge, Gabriel B. Paranhos da Costa, Adimara Bentivoglio Colturato, Kalinka Regina Lucas Jaquie Castelo Branco:
Precision Agriculture: Using Low-Cost Systems to Acquire Low-Altitude Images. IEEE Computer Graphics and Applications 36(4): 14-20 (2016) - [j5]Moacir Ponti, Tiago S. Nazaré, Gabriela S. Thumé:
Image quantization as a dimensionality reduction procedure in color and texture feature extraction. Neurocomputing 173: 385-396 (2016) - [j4]Moacir Ponti, Elias S. Helou, Paulo Jorge S. G. Ferreira, Nelson D. A. Mascarenhas:
Image Restoration Using Gradient Iteration and Constraints for Band Extrapolation. IEEE J. Sel. Top. Signal Process. 10(1): 71-80 (2016) - 2013
- [j3]Moacir Ponti:
Segmentation of Low-Cost Remote Sensing Images Combining Vegetation Indices and Mean Shift. IEEE Geosci. Remote. Sens. Lett. 10(1): 67-70 (2013) - [j2]Moacir P. Ponti Jr., Nelson D. A. Mascarenhas, Paulo Jorge S. G. Ferreira, Cláudio A. T. Suazo:
Three-dimensional noisy image restoration using filtered extrapolation and deconvolution. Signal Image Video Process. 7(1): 1-10 (2013) - 2010
- [j1]Moacir P. Ponti Jr.:
Microscope Volume Segmentation Improved through Non-Linear Restoration. Int. J. Nat. Comput. Res. 1(4): 37-46 (2010)
Conference and Workshop Papers
- 2024
- [c48]Ariadne Matos, Gustavo Araújo, Arnaldo Cândido Júnior, Moacir Ponti:
Accent Classification is Challenging but Pre-training Helps: a case study with novel Brazilian Portuguese datasets. PROPOR 2024: 364-373 - [c47]Edresson Casanova, Sandra M. Aluísio, Moacir Antonelli Ponti:
TTS applied to the generation of datasets for automatic speech recognition. PROPOR 2024: 633-638 - [c46]Emanuele Luzio, Moacir Ponti, Christian Ramirez Arevalo, Luis Argerich:
Decoupling Decision-Making in Fraud Prevention through Classifier Calibration for Business Logic Action. SAC 2024: 1036-1037 - 2023
- [c45]Rodolfo S. S. dos Santos, Moacir Antonelli Ponti, Kamila Rios da Hora Rodrigues:
Analyzing College Student Dropout Risk Prediction in Real Data Using Walk-Forward Validation. BRACIS (1) 2023: 291-305 - [c44]Amanda Hellen de Avellar Sarmento, Moacir Antonelli Ponti:
A Cross-Dataset Study on the Brazilian Sign Language Translation. ICCV (Workshops) 2023: 2808-2812 - [c43]Edresson Casanova, Christopher Shulby, Alexander Korolev, Arnaldo Cândido Júnior, Anderson da Silva Soares, Sandra M. Aluísio, Moacir Antonelli Ponti:
ASR data augmentation in low-resource settings using cross-lingual multi-speaker TTS and cross-lingual voice conversion. INTERSPEECH 2023: 1244-1248 - 2022
- [c42]Rodolfo S. S. dos Santos, Moacir A. Ponti, Kamila Rios da Hora Rodrigues:
The Use of Digital Reports to Support the Visualization and Identification of University Dropout Data. HCI (4) 2022: 308-323 - [c41]João Marcos Cardoso da Silva, Pedro Martelleto Bressane Rezende, Moacir Antonelli Ponti:
Detecting and mitigating issues in image-based COVID-19 diagnosis. Healthcare AI and COVID-19 Workshop 2022: 127-135 - [c40]Edresson Casanova, Julian Weber, Christopher Dane Shulby, Arnaldo Cândido Júnior, Eren Gölge, Moacir A. Ponti:
YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for Everyone. ICML 2022: 2709-2720 - [c39]Augusto Ribeiro Castro, Valdir Grassi Jr., Moacir A. Ponti:
Deep Depth Completion of Low-cost Sensor Indoor RGB-D using Euclidean Distance-based Weighted Loss and Edge-aware Refinement. VISIGRAPP (4: VISAPP) 2022: 204-212 - 2021
- [c38]Edresson Casanova, Arnaldo Cândido Júnior, Christopher Shulby, Frederico Santos de Oliveira, Lucas Rafael Stefanel Gris, Hamilton Pereira da Silva, Sandra Maria Aluísio, Moacir Antonelli Ponti:
Speech2Phone: A Novel and Efficient Method for Training Speaker Recognition Models. BRACIS (2) 2021: 572-585 - [c37]Leo Sampaio Ferraz Ribeiro, Tu Bui, John P. Collomosse, Moacir Ponti:
Scene Designer: a Unified Model for Scene Search and Synthesis from Sketch. ICCVW 2021: 2424-2433 - [c36]Tatiane Vieira Alves, Kamila Rios da Hora Rodrigues, Moacir Antonelli Ponti:
Interactive protocol for acquisition of migraine diaries with a mobile app and machine learning data analysis. IHC 2021: 32:1-32:9 - [c35]Edresson Casanova, Arnaldo Candido Jr., Ricardo Corso Fernandes Junior, Marcelo Finger, Lucas Rafael Stefanel Gris, Moacir Antonelli Ponti, Daniel Peixoto Pinto da Silva:
Transfer Learning and Data Augmentation Techniques to the COVID-19 Identification Tasks in ComParE 2021. Interspeech 2021: 446-450 - [c34]Edresson Casanova, Christopher Shulby, Eren Gölge, Nicolas Michael Müller, Frederico Santos de Oliveira, Arnaldo Candido Jr., Anderson da Silva Soares, Sandra Maria Aluísio, Moacir Antonelli Ponti:
SC-GlowTTS: An Efficient Zero-Shot Multi-Speaker Text-To-Speech Model. Interspeech 2021: 3645-3649 - [c33]Moacir A. Ponti, Fernando Pereira dos Santos, Leo Sampaio Ferraz Ribeiro, Gabriel Biscaro Cavallari:
Training Deep Networks from Zero to Hero: avoiding pitfalls and going beyond. SIBGRAPI 2021: 9-16 - [c32]Fernando Pereira dos Santos, Gabriela Salvador Thumé, Moacir Antonelli Ponti:
Data Augmentation Guidelines for Cross-Dataset Transfer Learning and Pseudo Labeling. SIBGRAPI 2021: 207-214 - [c31]Gabriel Biscaro Cavallari, Moacir A. Ponti:
Semi-supervised siamese network using self-supervision under scarce annotation improves class separability and robustness to attack. SIBGRAPI 2021: 223-230 - [c30]Tiago S. Nazaré, Rodrigo Fernandes de Mello, Moacir A. Ponti:
Investigating 3D Convolutional Layers as Feature Extractors for Anomaly Detection Systems Applied to Surveillance Videos. VISIGRAPP (5: VISAPP) 2021: 753-762 - 2020
- [c29]Leo Sampaio Ferraz Ribeiro, Tu Bui, John P. Collomosse, Moacir Ponti:
Sketchformer: Transformer-Based Representation for Sketched Structure. CVPR 2020: 14141-14150 - 2019
- [c28]Fernando Pereira dos Santos, Moacir Antonelli Ponti:
Homogeneity Index as Stopping Criterion for Anisotropic Diffusion Filter. CAIP (2) 2019: 269-280 - [c27]Fernando Pereira dos Santos, Moacir Antonelli Ponti:
Alignment of Local and Global Features from Multiple Layers of Convolutional Neural Network for Image Classification. SIBGRAPI 2019: 241-248 - 2018
- [c26]Tu Bui, Leonardo Sampaio Ferraz Ribeiro, Moacir Ponti, John P. Collomosse:
Deep Manifold Alignment for Mid-Grain Sketch Based Image Retrieval. ACCV (3) 2018: 314-329 - [c25]Fernando Pereira dos Santos, Moacir Antonelli Ponti:
Robust Feature Spaces from Pre-Trained Deep Network Layers for Skin Lesion Classification. SIBGRAPI 2018: 189-196 - [c24]Tiago Santana de Nazaré, Gabriel de Barros Paranhos da Costa, Rodrigo Fernandes de Mello, Moacir Antonelli Ponti:
Color Quantization in Transfer Learning and Noisy Scenarios: An Empirical Analysis Using Convolutional Networks. SIBGRAPI 2018: 377-383 - [c23]Gabriel Biscaro Cavallari, Leonardo Sampaio Ferraz Ribeiro, Moacir Ponti:
Unsupervised Representation Learning Using Convolutional and Stacked Auto-Encoders: A Domain and Cross-Domain Feature Space Analysis. SIBGRAPI 2018: 440-446 - 2017
- [c22]Moacir Antonelli Ponti:
Relevance Image Sampling from Collection Using Importance Selection on Randomized Optimum-Path Trees. BRACIS 2017: 198-203 - [c21]Tiago S. Nazaré, Gabriel B. Paranhos da Costa, Welinton A. Contato, Moacir Ponti:
Deep Convolutional Neural Networks and Noisy Images. CIARP 2017: 416-424 - [c20]Moacir Ponti, Tiago S. Nazaré, Josef Kittler:
Optical-flow features empirical mode decomposition for motion anomaly detection. ICASSP 2017: 1403-1407 - [c19]Moacir Antonelli Ponti, Leonardo Sampaio Ferraz Ribeiro, Tiago Santana Nazaré, Tu Bui, John P. Collomosse:
Everything You Wanted to Know about Deep Learning for Computer Vision but Were Afraid to Ask. SIBGRAPI Tutorials 2017: 17-41 - 2016
- [c18]Mateus Riva, Moacir Ponti, Teofilo de Campos:
One-Class to Multi-Class Model Update Using the Class-Incremental Optimum-Path Forest Classifier. ECAI 2016: 216-224 - [c17]Welinton A. Contato, Tiago S. Nazaré, Gabriel B. Paranhos da Costa, Moacir Ponti, João do E. S. Batista Neto:
Improving Non-local Video Denoising with Local Binary Patterns and Image Quantization. SIBGRAPI 2016: 241-248 - 2015
- [c16]Moacir Ponti, Camila T. Picon:
Color description of low resolution images using fast bitwise quantization and border-interior classification. ICASSP 2015: 1399-1403 - [c15]Tamires Tessarolli de Souza Barbieri, Tiago Henrique Trojahn, Moacir Ponti, Rudinei Goularte:
Shot-HR: a video shot representation method based on visual features. SAC 2015: 1257-1262 - 2013
- [c14]Gabriel B. Paranhos da Costa, Moacir P. Ponti Jr.:
Green Coverage Detection on Sub-orbital Plantation Images Using Anomaly Detection. CIARP (2) 2013: 92-99 - [c13]Tiago S. Nazaré, Moacir P. Ponti Jr.:
Hand-Raising Gesture Detection with Lienhart-Maydt Method in Videoconference and Distance Learning. CIARP (2) 2013: 512-519 - [c12]Moacir P. Ponti Jr., Luciana C. Escobar:
Compact color features with bitwise quantization and reduced resolution for mobile processing. GlobalSIP 2013: 751-754 - [c11]Moacir P. Ponti Jr., Isadora Rossi:
Ensembles of Optimum-Path Forest Classifiers Using Input Data Manipulation and Undersampling. MCS 2013: 236-246 - [c10]Gabriel B. Paranhos da Costa, Moacir P. Ponti Jr., Alejandro C. Frery:
Partially Supervised Anomaly Detection Using Convex Hulls on a 2D Parameter Space. PSL 2013: 1-8 - 2012
- [c9]Moacir P. Ponti Jr.:
Improving restoration of microscopy images using iterative prototypes and a sequence of support constraints. ICIP 2012: 3065-3068 - 2011
- [c8]Moacir P. Ponti Jr., João Paulo Papa, Alexandre L. M. Levada:
A Markov Random Field Model for Combining Optimum-Path Forest Classifiers Using Decision Graphs and Game Strategy Approach. CIARP 2011: 581-590 - [c7]João Paulo Papa, Andre Pagnin, Silvana Artioli Schellini, André Augusto Spadotto, Rodrigo Capobianco Guido, Moacir P. Ponti Jr., Giovani Chiachia, Alexandre X. Falcão:
Feature selection through gravitational search algorithm. ICASSP 2011: 2052-2055 - [c6]Moacir P. Ponti Jr., João P. Papa:
Improving Accuracy and Speed of Optimum-Path Forest Classifier Using Combination of Disjoint Training Subsets. MCS 2011: 237-248 - [c5]Moacir P. Ponti Jr.:
Combining Classifiers: From the Creation of Ensembles to the Decision Fusion. SIBGRAPI Tutorials 2011: 1-10 - 2010
- [c4]Moacir P. Ponti Jr., Nelson D. A. Mascarenhas:
Does Background Intensity Estimation Influence the Iterative Restoration of Microscope Images? SIBGRAPI 2010: 56-62 - 2007
- [c3]Fabricio A. Breve, Moacir P. Ponti Jr., Nelson D. A. Mascarenhas:
Multilayer Perceptron Classifier Combination for Identification of Materials on Noisy Soil Science Multispectral Images. SIBGRAPI 2007: 239-244 - [c2]Moacir P. Ponti Jr., Nelson D. A. Mascarenhas, Cláudio A. T. Suazo:
A Restoration and Extrapolation Iterative Method for Band-limited Fluorescence Microscopy Image. SIBGRAPI 2007: 271-280 - 2005
- [c1]Fabricio A. Breve, Moacir P. Ponti Jr., Nelson D. A. Mascarenhas:
Combining Methods to Stabilize and Increase Performance of Neural Network-Based Classifiers. SIBGRAPI 2005: 105-111
Informal and Other Publications
- 2024
- [i24]Emanuele Luzio, Moacir Antonelli Ponti, Christian Ramirez Arevalo, Luis Argerich:
Decoupling Decision-Making in Fraud Prevention through Classifier Calibration for Business Logic Action. CoRR abs/2401.05240 (2024) - 2023
- [i23]Leo Sampaio Ferraz Ribeiro, Moacir Antonelli Ponti:
Sketch-an-Anchor: Sub-epoch Fast Model Adaptation for Zero-shot Sketch-based Image Retrieval. CoRR abs/2303.16769 (2023) - [i22]Gustavo Sutter Carvalho, Moacir Antonelli Ponti:
Dendrogram distance: an evaluation metric for generative networks using hierarchical clustering. CoRR abs/2311.16894 (2023) - [i21]Fábio Felix Dias, Moacir Antonelli Ponti, Milton Cezar Ribeiro, Rosane Minghim:
Evaluation of Barlow Twins and VICReg self-supervised learning for sound patterns of bird and anuran species. CoRR abs/2312.11240 (2023) - 2022
- [i20]Fábio Felix Dias, Moacir Antonelli Ponti, Rosane Minghim:
Implementing simple spectral denoising for environmental audio recordings. CoRR abs/2201.02099 (2022) - [i19]Edresson Casanova, Christopher Shulby, Alexander Korolev, Arnaldo Cândido Júnior, Anderson da Silva Soares, Sandra M. Aluísio, Moacir Antonelli Ponti:
A single speaker is almost all you need for automatic speech recognition. CoRR abs/2204.00618 (2022) - [i18]Moacir Antonelli Ponti, Lucas de Angelis Oliveira, Juan Martín Román, Luis Argerich:
Improving Data Quality with Training Dynamics of Gradient Boosting Decision Trees. CoRR abs/2210.11327 (2022) - 2021
- [i17]Edresson Casanova, Christopher Shulby, Eren Gölge, Nicolas Michael Müller, Frederico Santos de Oliveira, Arnaldo Cândido Júnior, Anderson da Silva Soares, Sandra Maria Aluísio, Moacir Antonelli Ponti:
SC-GlowTTS: an Efficient Zero-Shot Multi-Speaker Text-To-Speech Model. CoRR abs/2104.05557 (2021) - [i16]Leo Sampaio Ferraz Ribeiro, Tu Bui, John P. Collomosse, Moacir Ponti:
Scene Designer: a Unified Model for Scene Search and Synthesis from Sketch. CoRR abs/2108.07353 (2021) - [i15]Moacir Antonelli Ponti, Fernando Pereira dos Santos, Leo Sampaio Ferraz Ribeiro, Gabriel Biscaro Cavallari:
Training Deep Networks from Zero to Hero: avoiding pitfalls and going beyond. CoRR abs/2109.02752 (2021) - [i14]Edresson Casanova, Julian Weber, Christopher Shulby, Arnaldo Cândido Júnior, Eren Gölge, Moacir Antonelli Ponti:
YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone. CoRR abs/2112.02418 (2021) - 2020
- [i13]Leonardo Sampaio Ferraz Ribeiro, Tu Bui, John P. Collomosse, Moacir Ponti:
Sketchformer: Transformer-based Representation for Sketched Structure. CoRR abs/2002.10381 (2020) - [i12]Edresson Casanova, Arnaldo Cândido Júnior, Frederico Santos de Oliveira, Christopher Shulby, João Paulo Teixeira, Moacir Antonelli Ponti, Sandra Maria Aluísio:
End-To-End Speech Synthesis Applied to Brazilian Portuguese. CoRR abs/2005.05144 (2020) - [i11]Sonia Castelo, Moacir Ponti, Rosane Minghim:
A Visual Mining Approach to Improved Multiple-Instance Learning. CoRR abs/2012.07257 (2020) - 2019
- [i10]Fernando Pereira dos Santos, Leonardo Sampaio Ferraz Ribeiro, Moacir Antonelli Ponti:
Generalization of feature embeddings transferred from different video anomaly detection domains. CoRR abs/1901.09819 (2019) - 2018
- [i9]Rodrigo Fernandes de Mello, Moacir Antonelli Ponti, Carlos Henrique Grossi Ferreira:
Computing the Shattering Coefficient of Supervised Learning Algorithms. CoRR abs/1805.02627 (2018) - [i8]Moacir Antonelli Ponti, Gabriel B. Paranhos da Costa:
Como funciona o Deep Learning. CoRR abs/1806.07908 (2018) - [i7]Gabriel Biscaro Cavallari, Leonardo Sampaio Ferraz Ribeiro, Moacir Antonelli Ponti:
Unsupervised representation learning using convolutional and stacked auto-encoders: a domain and cross-domain feature space analysis. CoRR abs/1811.00473 (2018) - [i6]Tiago S. Nazaré, Rodrigo Fernandes de Mello, Moacir A. Ponti:
Are pre-trained CNNs good feature extractors for anomaly detection in surveillance videos? CoRR abs/1811.08495 (2018) - 2017
- [i5]Rodrigo Fernandes de Mello, Martha Dais Ferreira, Moacir Antonelli Ponti:
Providing theoretical learning guarantees to Deep Learning Networks. CoRR abs/1711.10292 (2017) - 2016
- [i4]Mateus Riva, Moacir Ponti:
An incremental linear-time learning algorithm for the Optimum-Path Forest classifier. CoRR abs/1604.03346 (2016) - [i3]Gabriel B. Paranhos da Costa, Welinton A. Contato, Tiago S. Nazaré, João do E. S. Batista Neto, Moacir Ponti:
An empirical study on the effects of different types of noise in image classification tasks. CoRR abs/1609.02781 (2016) - [i2]Moacir Ponti, Patricia Bet, Caroline Oliveira, Paula C. Castro:
Feature Extraction from Double Task Timed Up and Go Signals Applied to the Identification of Elderly Fallers. CoRR abs/1609.05339 (2016) - [i1]Tu Bui, Leonardo Sampaio Ferraz Ribeiro, Moacir Ponti, John P. Collomosse:
Generalisation and Sharing in Triplet Convnets for Sketch based Visual Search. CoRR abs/1611.05301 (2016)
Coauthor Index
Arnaldo Candido Jr.
aka: Arnaldo Cândido Júnior
aka: Arnaldo Cândido Júnior
Gabriel B. Paranhos da Costa
aka: Gabriel de Barros Paranhos da Costa
aka: Gabriel de Barros Paranhos da Costa
Leo Sampaio Ferraz Ribeiro
aka: Leonardo Sampaio Ferraz Ribeiro
aka: Leonardo Sampaio Ferraz Ribeiro
Christopher Shulby
aka: Christopher Dane Shulby
aka: Christopher Dane Shulby
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