D. C. G. Pedronette

发表

Efficient Unsupervised Distance Learning through Rank Correlation Measures on Heterogeneous Systems

César Yugo Okada, D. C. G. Pedronette, 2016 .

Unsupervised Distance Learning by Rank Correlation Measures for Image Retrieval

Ricardo da Silva Torres, Daniel Carlos Guimarães Pedronette, César Yugo Okada, 2015, ICMR.

RaDE+: A semantic rank-based graph embedding algorithm

Lucas Pascotti Valem, Filipe Alves de Fernando, Gustavo José de Sousa, 2022, Int. J. Inf. Manag. Data Insights.

Feature augmentation based on manifold ranking and LSTM for image classification

Lucas Pascotti Valem, Vanessa Helena Pereira-Ferrero, D. C. G. Pedronette, 2022, Expert Syst. Appl..

Weakly supervised learning based on hypergraph manifold ranking

Lucas Pascotti Valem, João Gabriel Camacho Presotto, F. Faria, 2022, Journal of Visual Communication and Image Representation.

Mixup-based Deep Metric Learning Approaches for Incomplete Supervision

G. Carneiro, F. Faria, J. Almeida, 2022, 2022 IEEE International Conference on Image Processing (ICIP).

Evaluation of denoising digital breast tomosynthesis data in both projection and image domains and a study of noise model on digital breast tomosynthesis image domain

Andrew D. A. Maidment, Daniel Carlos Guimarães Pedronette, Bruno Barufaldi, 2019, Journal of medical imaging.

A scalable re-ranking method for content-based image retrieval

Jurandy Almeida, Ricardo da Silva Torres, Daniel Carlos Guimarães Pedronette, 2014, Inf. Sci..

Efficient Rank-Based Diffusion Process with Assured Convergence

Longin Jan Latecki, Daniel Carlos Guimarães Pedronette, Lucas Pascotti Valem, 2021, J. Imaging.

Unsupervised rank diffusion for content-based image retrieval

Ricardo da Silva Torres, Daniel Carlos Guimarães Pedronette, R. Torres, 2017, Neurocomputing.

Rank Diffusion for Context-Based Image Retrieval

Ricardo da Silva Torres, Daniel Carlos Guimarães Pedronette, R. Torres, 2016, ICMR.

Manifold Correlation Graph for Semi-Supervised Learning

Fabricio A. Breve, Daniel Carlos Guimarães Pedronette, Ivan Rizzo Guilherme, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Combined unsupervised and semi-supervised learning for data classification

Fabricio A. Breve, Daniel Carlos Guimarães Pedronette, D. C. G. Pedronette, 2016, 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP).

Graph-based selective rank fusion for unsupervised image retrieval

Daniel Carlos Guimarães Pedronette, Lucas Pascotti Valem, D. C. G. Pedronette, 2020, Pattern Recognit. Lett..

Semi-supervised and active learning through Manifold Reciprocal kNN Graph for image retrieval

Ying Weng, Daniel Carlos Guimarães Pedronette, Alexandro Baldassin, 2019, Neurocomputing.

Time Series Classification using Shape Features based on Angle Statistics

D. C. G. Pedronette, Bionda Rozin, 2021, Anais do XVIII Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2021).

Rank-based self-training for graph convolutional networks

Longin Jan Latecki, Daniel Carlos Guimarães Pedronette, D. C. G. Pedronette, 2021, Inf. Process. Manag..

Semantic Guided Interactive Image Retrieval for plant identification

Daniel Carlos Guimarães Pedronette, Ivan Rizzo Guilherme, Filipe Marcel Fernandes Gonçalves, 2018, Expert Syst. Appl..

A correlation graph approach for unsupervised manifold learning in image retrieval tasks

Ricardo da Silva Torres, Daniel Carlos Guimarães Pedronette, R. Torres, 2016, Neurocomputing.

A BFS-Tree of ranking references for unsupervised manifold learning

Ricardo da Silva Torres, Daniel Carlos Guimarães Pedronette, Lucas Pascotti Valem, 2021, Pattern Recognit..

Unsupervised Effectiveness Estimation Through Intersection of Ranking References

Daniel Carlos Guimarães Pedronette, Lucas Pascotti Valem, João Gabriel Camacho Presotto, 2019, CAIP.

Unsupervised Graph-based Rank Aggregation for Improved Retrieval

Ricardo da Silva Torres, Daniel Carlos Guimarães Pedronette, Ícaro Cavalcante Dourado, 2019, Inf. Process. Manag..

Jurandy Almeida, Daniel Carlos Guimarães Pedronette, Lucas Pascotti Valem, 2018, ACM Trans. Multim. Comput. Commun. Appl..

Daniel Carlos Guimarães Pedronette, Lucas Pascotti Valem, D. C. G. Pedronette, 2018, 2016 29th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI).

Unsupervised manifold learning by correlation graph and strongly connected components for image retrieval

Ricardo da Silva Torres, Daniel Carlos Guimarães Pedronette, R. Torres, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Exploiting contextual information for image re-ranking and rank aggregation

R. Torres, D. C. G. Pedronette, 2012, International Journal of Multimedia Information Retrieval.

Exploiting Contextual Information for Image Re-ranking

Ricardo da Silva Torres, Daniel Carlos Guimarães Pedronette, R. Torres, 2010, CIARP.

Unsupervised Effectiveness Estimation for Image Retrieval Using Reciprocal Rank Information

Ricardo da Silva Torres, Daniel Carlos Guimarães Pedronette, R. Torres, 2015, 2015 28th SIBGRAPI Conference on Graphics, Patterns and Images.

A semi-supervised learning algorithm for relevance feedback and collaborative image retrieval

R. Torres, R. Calumby, D. C. G. Pedronette, 2015, EURASIP J. Image Video Process..

Semi-supervised Learning for Relevance Feedback on Image Retrieval Tasks

Ricardo da Silva Torres, Daniel Carlos Guimarães Pedronette, Rodrigo Tripodi Calumby, 2014, 2014 27th SIBGRAPI Conference on Graphics, Patterns and Images.

Regression by Re-Ranking

R. Torres, D. C. G. Pedronette, F. Gonçalves, 2023, Pattern Recognit..

A unified model for accelerating unsupervised iterative re‐ranking algorithms

Ricardo da Silva Torres, Daniel Carlos Guimarães Pedronette, Lucas Pascotti Valem, 2020, Concurr. Comput. Pract. Exp..

Multimedia Retrieval Through Unsupervised Hypergraph-Based Manifold Ranking

Jurandy Almeida, Daniel Carlos Guimarães Pedronette, Lucas Pascotti Valem, 2019, IEEE Transactions on Image Processing.

Unsupervised manifold learning through reciprocal kNN graph and Connected Components for image retrieval tasks

Daniel Carlos Guimarães Pedronette, Ivan Rizzo Guilherme, Filipe Marcel Fernandes Gonçalves, 2018, Pattern Recognit..

An Unsupervised Distance Learning Framework for Multimedia Retrieval

Daniel Carlos Guimarães Pedronette, Lucas Pascotti Valem, D. C. G. Pedronette, 2017, ICMR.

A graph-based ranked-list model for unsupervised distance learning on shape retrieval

Jurandy Almeida, Ricardo da Silva Torres, Daniel Carlos Guimarães Pedronette, 2016, Pattern Recognit. Lett..

Image Re-ranking and Rank Aggregation Based on Similarity of Ranked Lists

Ricardo da Silva Torres, Daniel Carlos Guimarães Pedronette, R. Torres, 2011, CAIP.

Shape Retrieval using Contour Features and Distance Optimization

Ricardo da Silva Torres, Daniel Carlos Guimarães Pedronette, R. Torres, 2010, VISAPP.

Diagnostic Support for Alzheimers Disease through Feature-Based Brain MRI Retrieval and Unsupervised Distance Learning

Daniel Carlos Guimarães Pedronette, Denis H. P. Salvadeo, Bruno T. Padovese, 2016, 2016 IEEE 16th International Conference on Bioinformatics and Bioengineering (BIBE).

Unsupervised Distance Learning for Plant Species Identification

Jurandy Almeida, Ricardo da Silva Torres, Leonor Patricia C. Morellato, 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Combining Re-Ranking and Rank Aggregation Methods

Ricardo da Silva Torres, Daniel Carlos Guimarães Pedronette, R. Torres, 2012, CIARP.

Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold Learning

Longin Jan Latecki, Lucas Pascotti Valem, D. C. G. Pedronette, 2023, IEEE Transactions on Image Processing.

Effective, Efficient, and Scalable Unsupervised Distance Learning in Image Retrieval Tasks

Jurandy Almeida, Ricardo da Silva Torres, Daniel Carlos Guimarães Pedronette, 2015, ICMR.

Self-Supervised Clustering based on Manifold Learning and Graph Convolutional Networks

Leonardo Tadeu Lopes, D. C. G. Pedronette, D. Pedronette, 2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

A rank aggregation framework for video multimodal geocoding

Jurandy Almeida, Ricardo da Silva Torres, Otávio Augusto Bizetto Penatti, 2014, Multimedia Tools and Applications.

Unsupervised selective rank fusion for image retrieval tasks

Daniel Carlos Guimarães Pedronette, Lucas Pascotti Valem, D. C. G. Pedronette, 2020, Neurocomputing.

Multimodal Image Geocoding: The 2013 RECOD's Approach

Jurandy Almeida, Ricardo da Silva Torres, Otávio Augusto Bizetto Penatti, 2013, MediaEval.

A Novel Rank Correlation Measure for Manifold Learning on Image Retrieval and Person Re-ID

Lucas Pascotti Valem, Vanessa Helena Pereira-Ferrero, D. C. G. Pedronette, 2022, 2022 IEEE International Conference on Image Processing (ICIP).

Unsupervised Selective Rank Fusion on Content-Based Image Retrieval

Daniel Carlos Guimarães Pedronette, Lucas Pascotti Valem, D. C. G. Pedronette, 2019, Anais Estendidos da Conference on Graphics, Patterns and Images (SIBGRAPI).

A Rank Aggregation Framework for Video Interestingness Prediction

Jurandy Almeida, Daniel Carlos Guimarães Pedronette, Lucas Pascotti Valem, 2017, ICIAP.

Which Generative Adversarial Network Yields High-Quality Synthetic Medical Images: Investigation Using AMD Image Datasets

Gustavo de Rosa, D. C. G. Pedronette, L. A. Passos, 2022, ArXiv.

A rank-based framework through manifold learning for improved clustering tasks

Daniel Carlos Guimarães Pedronette, Vanessa Helena Pereira-Ferrero, Bionda Rozin, 2021, Inf. Sci..

Combining re-ranking and rank aggregation methods for image retrieval

Ricardo da Silva Torres, Daniel Carlos Guimarães Pedronette, R. Torres, 2015, Multimedia Tools and Applications.

A semi-supervised learning algorithm for relevance feedback and collaborative image retrieval

Ricardo da Silva Torres, Daniel Carlos Guimarães Pedronette, Rodrigo Tripodi Calumby, 2015, EURASIP Journal on Image and Video Processing.

Unsupervised Distance Learning By Reciprocal kNN Distance for Image Retrieval

Ricardo da Silva Torres, Otávio Augusto Bizetto Penatti, Daniel Carlos Guimarães Pedronette, 2014, ICMR.

Using contextual spaces for image re-ranking and rank aggregation

R. Torres, R. Calumby, D. C. G. Pedronette, 2014, Multimedia Tools and Applications.

Unsupervised manifold learning using Reciprocal kNN Graphs in image re-ranking and rank aggregation tasks

Daniel Carlos Guimarães Pedronette, Otávio A. B. Penatti, Ricardo da S. Torres, 2014, Image Vis. Comput..

Unsupervised Measures for Estimating the Effectiveness of Image Retrieval Systems

Ricardo da Silva Torres, Daniel Carlos Guimarães Pedronette, R. Torres, 2013, 2013 XXVI Conference on Graphics, Patterns and Images.

Exploiting pairwise recommendation and clustering strategies for image re-ranking

Ricardo da Silva Torres, Daniel Carlos Guimarães Pedronette, R. Torres, 2012, Inf. Sci..

Exploiting contextual information for rank aggregation

Ricardo da Silva Torres, Daniel Carlos Guimarães Pedronette, R. Torres, 2011, 2011 18th IEEE International Conference on Image Processing.

Exploiting clustering approaches for image re-ranking

Ricardo da Silva Torres, Daniel Carlos Guimarães Pedronette, R. Torres, 2011, J. Vis. Lang. Comput..

Exploiting contextual spaces for image re-ranking and rank aggregation

Ricardo da Silva Torres, Daniel Carlos Guimarães Pedronette, R. Torres, 2011, ICMR.

Distances Correlation for Re-ranking in Content-Based Image Retrieval

Ricardo da Silva Torres, Daniel Carlos Guimarães Pedronette, R. Torres, 2010, 2010 23rd SIBGRAPI Conference on Graphics, Patterns and Images.