Daniel Carlos Guimarães Pedronette

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 65

Top Venues

University of Campinas, Brazil (PHD)

Education History

University of Campinas, Brazil

PHD

Publications

João Gabriel Camacho Presotto, Lucas Pascotti Valem, Nikolas Gomes de Sá, Daniel Carlos Guimarães Pedronette, João Paulo Papa
Weakly supervised classification through manifold learning and rank-based contextual measures. Neurocomputing 589 (2024)
Gustavo Rosseto Leticio, Vinicius Atsushi Sato Kawai, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
Manifold information through neighbor embedding projection for image retrieval. Pattern Recognit. Lett. 183 (2024)
Leonardo Tadeu Lopes, Daniel Carlos Guimarães Pedronette
Self-Supervised Clustering based on Manifold Learning and Graph Convolutional Networks. WACV (2023)
André Lara Temple De Antonio, Daniel Carlos Guimarães Pedronette
Manifold Learning for Brain Tumor MRI Image Retrieval and Classification. BIBE (2023)
Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Longin Jan Latecki
Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold Learning. IEEE Trans. Image Process. 32 (2023)
Filipe Marcel Fernandes Gonçalves, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
Regression by Re-Ranking. Pattern Recognit. 140 (2023)
Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Longin Jan Latecki
Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold Learning. CoRR (2023)
Lucas Pascotti Valem, Vanessa Helena Pereira-Ferrero, Daniel Carlos Guimarães Pedronette
Self-Supervised Regression for Query Performance Prediction on Image Retrieval. AIKE (2023)
Bionda Rozin, Emílio Bergamim, Daniel Carlos Guimarães Pedronette, Fabricio Aparecido Breve
Semi-supervised Time Series Classification Through Image Representations. ICCSA (2) (2023)
Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Longin Jan Latecki
Graph Convolutional Networks based on Manifold Learning for Semi-Supervised Image Classification. CoRR (2023)
Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
Person Re-ID through Unsupervised Hypergraph Rank Selection and Fusion. CoRR (2023)
Luiz Antonio Falaguasta Barbosa, Daniel Carlos Guimarães Pedronette, Ivan Rizzo Guilherme
A Meta-Feature Model for Exploiting Different Regressors to Estimate Sugarcane Crop Yield. IGARSS (2023)
Vanessa Helena Pereira-Ferrero, Lucas Pascotti Valem, Gustavo Rosseto Leticio, Daniel Carlos Guimarães Pedronette
Feature Fusion and Augmentation based on Manifold Ranking for Image Classification. AIKE (2023)
Vanessa Helena Pereira-Ferrero, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
Feature augmentation based on manifold ranking and LSTM for image classification. Expert Syst. Appl. 213 (Part) (2023)
Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Longin Jan Latecki
Graph Convolutional Networks based on manifold learning for semi-supervised image classification. Comput. Vis. Image Underst. 227 (2023)
Gustavo Leticio, Lucas Pascotti Valem, Leonardo Tadeu Lopes, Daniel Carlos Guimarães Pedronette
pyUDLF: A Python Framework for Unsupervised Distance Learning Tasks. ACM Multimedia (2023)
Lucas Barbosa de Almeida, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
Graph Convolutional Networks and Manifold Ranking for Multimodal Video Retrieval. ICIP (2022)
Filipe Alves de Fernando, Daniel Carlos Guimarães Pedronette, Gustavo José de Sousa, Lucas Pascotti Valem, Ivan Rizzo Guilherme
RaDE+: A semantic rank-based graph embedding algorithm. Int. J. Inf. Manag. Data Insights 2 (1) (2022)
Lucas Pascotti Valem, Vinicius Atsushi Sato Kawai, Vanessa Helena Pereira-Ferrero, Daniel Carlos Guimarães Pedronette
A Novel Rank Correlation Measure for Manifold Learning on Image Retrieval and Person Re-ID. ICIP (2022)
João Gabriel Camacho Presotto, Samuel Felipe dos Santos, Lucas Pascotti Valem, Fábio Augusto Faria, João Paulo Papa, Jurandy Almeida, Daniel Carlos Guimarães Pedronette
Weakly supervised learning based on hypergraph manifold ranking. J. Vis. Commun. Image Represent. 89 (2022)
Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
Person Re-ID through unsupervised hypergraph rank selection and fusion. Image Vis. Comput. 123 (2022)
Lucas Barbosa de Almeida, Vanessa Helena Pereira-Ferrero, Lucas Pascotti Valem, Jurandy Almeida, Daniel Carlos Guimarães Pedronette
Representation Learning for Image Retrieval through 3D CNN and Manifold Ranking. SIBGRAPI (2021)
Mateus Roder, Gustavo Henrique Rosa, João Paulo Papa, Daniel Carlos Guimarães Pedronette
Enhancing Shallow Neural Networks Through Fourier-based Information Fusion for Stroke Classification. SIBGRAPI (2021)
Daniel Carlos Guimarães Pedronette, Lucas Pascotti Valem, Ricardo da Silva Torres
A BFS-Tree of ranking references for unsupervised manifold learning. Pattern Recognit. 111 (2021)
Gustavo José de Sousa, Daniel Carlos Guimarães Pedronette, João Paulo Papa, Ivan Rizzo Guilherme
SMS Spam Detection Through Skip-gram Embeddings and Shallow Networks. ACL/IJCNLP (Findings) (2021)
Bionda Rozin, Vanessa Helena Pereira-Ferrero, Leonardo Tadeu Lopes, Daniel Carlos Guimarães Pedronette
A rank-based framework through manifold learning for improved clustering tasks. Inf. Sci. 580 (2021)
Nikolas Gomes de Sá, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
A Multi-level Rank Correlation Measure for Image Retrieval. VISIGRAPP (5: VISAPP) (2021)
Daniel Carlos Guimarães Pedronette, Longin Jan Latecki
Rank-based self-training for graph convolutional networks. Inf. Process. Manag. 58 (2) (2021)
Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
A Denoising Convolutional Neural Network for Self-Supervised Rank Effectiveness Estimation on Image Retrieval. ICMR (2021)
Daniel Carlos Guimarães Pedronette, Lucas Pascotti Valem, Longin Jan Latecki
Efficient Rank-Based Diffusion Process with Assured Convergence. J. Imaging 7 (3) (2021)
Lucas Fernando Alvarenga e Silva, Daniel Carlos Guimarães Pedronette, Fábio Augusto Faria, João Paulo Papa, Jurandy Almeida
Improving Transferability of Domain Adaptation Networks Through Domain Alignment Layers. CoRR (2021)
João Gabriel Camacho Presotto, Lucas Pascotti Valem, Nikolas Gomes de Sá, Daniel Carlos Guimarães Pedronette, João Paulo Papa
Weakly Supervised Learning through Rank-based Contextual Measures. ICPR (2020)
Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
Graph-based selective rank fusion for unsupervised image retrieval. Pattern Recognit. Lett. 135 (2020)
Flávia Pisani, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres, Edson Borin, Maurício Breternitz Jr.
A unified model for accelerating unsupervised iterative re-ranking algorithms. Concurr. Comput. Pract. Exp. 32 (14) (2020)
Leonardo Tadeu Lopes, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Ivan Rizzo Guilherme, João Paulo Papa, Marcos Cleison Silva Santana, Danilo Colombo
Manifold Learning-based Clustering Approach Applied to Anomaly Detection in Surveillance Videos. VISIGRAPP (5: VISAPP) (2020)
Filipe Alves de Fernando, Daniel Carlos Guimarães Pedronette, Gustavo José de Sousa, Lucas Pascotti Valem, Ivan Rizzo Guilherme
RaDE: A Rank-based Graph Embedding Approach. VISIGRAPP (5: VISAPP) (2020)
Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
Unsupervised selective rank fusion for image retrieval tasks. Neurocomputing 377 (2020)
Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
An Unsupervised Genetic Algorithm Framework for Rank Selection and Fusion on Image Retrieval. ICMR (2019)
Daniel Carlos Guimarães Pedronette, Ying Weng, Alexandro Baldassin, Chaohuan Hou
Semi-supervised and active learning through Manifold Reciprocal kNN Graph for image retrieval. Neurocomputing 340 (2019)
Alexandro Baldassin, Ying Weng, Daniel Carlos Guimarães Pedronette, Jurandy Almeida
An optimized unsupervised manifold learning algorithm for manycore architectures. Inf. Sci. 496 (2019)
Daniel Carlos Guimarães Pedronette, Lucas Pascotti Valem, Jurandy Almeida, Ricardo da Silva Torres
Multimedia Retrieval Through Unsupervised Hypergraph-Based Manifold Ranking. IEEE Trans. Image Process. 28 (12) (2019)
Victor de Abreu Campos, Daniel Carlos Guimarães Pedronette
A framework for speaker retrieval and identification through unsupervised learning. Comput. Speech Lang. 58 (2019)
João Gabriel Camacho Presotto, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
Unsupervised Effectiveness Estimation Through Intersection of Ranking References. CAIP (2) (2019)
Ícaro Cavalcante Dourado, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
Unsupervised graph-based rank aggregation for improved retrieval. Inf. Process. Manag. 56 (4) (2019)
Ícaro Cavalcante Dourado, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
Unsupervised Graph-based Rank Aggregation for Improved Retrieval. CoRR (2019)
Daniel Carlos Guimarães Pedronette, Filipe Marcel Fernandes Gonçalves, Ivan Rizzo Guilherme
Unsupervised manifold learning through reciprocal kNN graph and Connected Components for image retrieval tasks. Pattern Recognit. 75 (2018)
Gustavo José de Sousa, Daniel Carlos Guimarães Pedronette, Alexandro Baldassin, Pedro Ivo Monteiro Privatto, M. Gaseta, Ivan Rizzo Guilherme, Danilo Colombo, Luis Claudio Sugi Afonso, João P. Papa
Pattern Analysis in Drilling Reports using Optimum-Path Forest. IJCNN (2018)
Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Jurandy Almeida
Unsupervised similarity learning through Cartesian product of ranking references. Pattern Recognit. Lett. 114 (2018)
Lucas Pascotti Valem, Carlos Renan De Oliveira, Daniel Carlos Guimarães Pedronette, Jurandy Almeida
Unsupervised Similarity Learning through Rank Correlation and kNN Sets. ACM Trans. Multim. Comput. Commun. Appl. 14 (4) (2018)
Filipe Marcel Fernandes Gonçalves, Ivan Rizzo Guilherme, Daniel Carlos Guimarães Pedronette
Semantic Guided Interactive Image Retrieval for plant identification. Expert Syst. Appl. 91 (2018)
Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Fabricio Aparecido Breve, Ivan Rizzo Guilherme
Manifold Correlation Graph for Semi-Supervised Learning. IJCNN (2018)
Luis Claudio Sugi Afonso, Daniel Carlos Guimarães Pedronette, André N. de Souza, João Paulo Papa
Improving Optimum- Path Forest Classification Using Unsupervised Manifold Learning. ICPR (2018)
Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
Unsupervised rank diffusion for content-based image retrieval. Neurocomputing 260 (2017)
Flavia Pisani, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres, Edson Borin
Contextual Spaces Re-Ranking: accelerating the Re-sort Ranked Lists step on heterogeneous systems. Concurr. Comput. Pract. Exp. 29 (22) (2017)
Jurandy Almeida, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
A Rank Aggregation Framework for Video Interestingness Prediction. ICIAP (1) (2017)
Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
An Unsupervised Distance Learning Framework for Multimedia Retrieval. ICMR (2017)
Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
Selection and Combination of Unsupervised Learning Methods for Image Retrieval. CBMI (2017)
Fabricio Aparecido Breve, Daniel Carlos Guimarães Pedronette
Combined unsupervised and semi-supervised learning for data classification. MLSP (2016)
Victor de Abreu Campos, Daniel Carlos Guimarães Pedronette
Effective Speaker Retrieval and Recognition through Vector Quantization and Unsupervised Distance Learning. MARMI@ICMR (2016)
Bruno T. Padovese, Denis H. P. Salvadeo, Daniel Carlos Guimarães Pedronette
Diagnostic Support for Alzheimers Disease through Feature-Based Brain MRI Retrieval and Unsupervised Distance Learning. BIBE (2016)
Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
Rank Diffusion for Context-Based Image Retrieval. ICMR (2016)
Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
Combining re-ranking and rank aggregation methods for image retrieval. Multim. Tools Appl. 75 (15) (2016)
Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
Unsupervised Similarity Learning through Cartesian Product of Ranking References for Image Retrieval Tasks. SIBGRAPI (2016)
Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
A correlation graph approach for unsupervised manifold learning in image retrieval tasks. Neurocomputing 208 (2016)
Daniel Carlos Guimarães Pedronette, Jurandy Almeida, Ricardo da Silva Torres
A graph-based ranked-list model for unsupervised distance learning on shape retrieval. Pattern Recognit. Lett. 83 (2016)
Lin Tzy Li, Javier A. V. Muñoz, Jurandy Almeida, Rodrigo Tripodi Calumby, Otávio Augusto Bizetto Penatti, Ícaro C. Dourado, Keiller Nogueira, Pedro Ribeiro Mendes Júnior, Luís A. M. Pereira, Daniel Carlos Guimarães Pedronette, Jefersson Alex dos Santos, Marcos André Gonçalves, Ricardo da Silva Torres
RECOD @ Placing Task of MediaEval 2015. MediaEval (2015)
Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
Unsupervised Effectiveness Estimation for Image Retrieval Using Reciprocal Rank Information. SIBGRAPI (2015)
Daniel Carlos Guimarães Pedronette, Rodrigo Tripodi Calumby, Ricardo da Silva Torres
A semi-supervised learning algorithm for relevance feedback and collaborative image retrieval. EURASIP J. Image Video Process. 2015 (2015)
César Yugo Okada, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
Unsupervised Distance Learning by Rank Correlation Measures for Image Retrieval. ICMR (2015)
Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres, Edson Borin, Jurandy Almeida
Effective, Efficient, and Scalable Unsupervised Distance Learning in Image Retrieval Tasks. ICMR (2015)
Daniel Carlos Guimarães Pedronette, Otávio Augusto Bizetto Penatti, Ricardo da Silva Torres
Unsupervised manifold learning using Reciprocal kNN Graphs in image re-ranking and rank aggregation tasks. Image Vis. Comput. 32 (2) (2014)
Lin Tzy Li, Otávio Augusto Bizetto Penatti, Jurandy Almeida, Giovani Chiachia, Rodrigo Tripodi Calumby, Pedro Ribeiro Mendes Júnior, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
Multimedia Geocoding: The RECOD 2014 Approach. MediaEval (2014)
Lin Tzy Li, Daniel Carlos Guimarães Pedronette, Jurandy Almeida, Otávio Augusto Bizetto Penatti, Rodrigo Tripodi Calumby, Ricardo da Silva Torres
A rank aggregation framework for video multimodal geocoding. Multim. Tools Appl. 73 (3) (2014)
Tiago William Pinto, Marco António Garcia de Carvalho, Daniel Carlos Guimarães Pedronette, Paulo Sérgio Martins
Image segmentation through combined methods: Watershed transform, unsupervised distance learning and Normalized Cut. SSIAI (2014)
Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres, Rodrigo Tripodi Calumby
Using contextual spaces for image re-ranking and rank aggregation. Multim. Tools Appl. 69 (3) (2014)
Daniel Carlos Guimarães Pedronette, Jurandy Almeida, Ricardo da Silva Torres
A scalable re-ranking method for content-based image retrieval. Inf. Sci. 265 (2014)
Jurandy Almeida, Daniel Carlos Guimarães Pedronette, Otávio Augusto Bizetto Penatti
Unsupervised Manifold Learning for Video Genre Retrieval. CIARP (2014)
Daniel Carlos Guimarães Pedronette, Rodrigo Tripodi Calumby, Ricardo da Silva Torres
Semi-supervised Learning for Relevance Feedback on Image Retrieval Tasks. SIBGRAPI (2014)
Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
Unsupervised manifold learning by correlation graph and strongly connected components for image retrieval. ICIP (2014)
Daniel Carlos Guimarães Pedronette, Otávio Augusto Bizetto Penatti, Rodrigo Tripodi Calumby, Ricardo da Silva Torres
Unsupervised Distance Learning By Reciprocal kNN Distance for Image Retrieval. ICMR (2014)
Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
Image re-ranking and rank aggregation based on similarity of ranked lists. Pattern Recognit. 46 (8) (2013)
Lin Tzy Li, Jurandy Almeida, Otávio Augusto Bizetto Penatti, Rodrigo Tripodi Calumby, Daniel Carlos Guimarães Pedronette, Marcos André Gonçalves, Ricardo da Silva Torres
Multimodal Image Geocoding: The 2013 RECOD's Approach. MediaEval (2013)
Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
Unsupervised Measures for Estimating the Effectiveness of Image Retrieval Systems. SIBGRAPI (2013)
Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres, Edson Borin, Maurício Breternitz Jr.
Image Re-ranking Acceleration on GPUs. SBAC-PAD (2013)
Lin Tzy Li, Jurandy Almeida, Daniel Carlos Guimarães Pedronette, Otávio Augusto Bizetto Penatti, Ricardo da Silva Torres
A Multimodal Approach for Video Geocoding. MediaEval (2012)
Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
Combining Re-Ranking and Rank Aggregation Methods. CIARP (2012)
Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
Exploiting pairwise recommendation and clustering strategies for image re-ranking. Inf. Sci. 207 (2012)
Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
Exploiting contextual information for image re-ranking and rank aggregation. Int. J. Multim. Inf. Retr. 1 (2) (2012)
Lin Tzy Li, Daniel Carlos Guimarães Pedronette, Jurandy Almeida, Otávio Augusto Bizetto Penatti, Rodrigo Tripodi Calumby, Ricardo da Silva Torres
Multimedia multimodal geocoding. SIGSPATIAL/GIS (2012)
Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres, Edson Borin, Maurício Breternitz Jr.
Efficient Image Re-Ranking Computation on GPUs. ISPA (2012)
Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
Image Re-ranking and Rank Aggregation Based on Similarity of Ranked Lists. CAIP (1) (2011)
Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
Exploiting contextual spaces for image re-ranking and rank aggregation. ICMR (2011)
Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
Exploiting contextual information for rank aggregation. ICIP (2011)
Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
Exploiting clustering approaches for image re-ranking. J. Vis. Lang. Comput. 22 (6) (2011)
Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
Distances Correlation for Re-ranking in Content-Based Image Retrieval. SIBGRAPI (2010)
Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
Exploiting Contextual Information for Image Re-ranking. CIARP (2010)
Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
Shape Retrieval using Contour Features and Distance Optimization. VISAPP (2) (2010)
Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
Uma Plataforma de Serviços de Recomendação para Bibliotecas Digitais. SBBD (2008)

Daniel Carlos Guimarães Pedronette.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Daniel Carlos Guimarães Pedronette