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2020 – today
- 2024
[j44]Guilherme C. Oliveira, Gustavo H. Rosa, Daniel C. G. Pedronette, João P. Papa, Himeesh Kumar
, Leandro A. Passos, Dinesh Kant Kumar:
Robust deep learning for eye fundus images: Bridging real and synthetic data for enhancing generalization. Biomed. Signal Process. Control. 94: 106263 (2024)- [j43]Vanessa Helena Pereira-Ferrero, T. G. Lewis, Lucas Pascotti Valem, L. G. P. Ferrero, Daniel C. G. Pedronette, Longin Jan Latecki:
Unsupervised affinity learning based on manifold analysis for image retrieval: A survey. Comput. Sci. Rev. 53: 100657 (2024) - [j42]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: 127717 (2024) - [j41]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: 17-25 (2024) - [j40]Vinicius Atsushi Sato Kawai, Lucas Pascotti Valem, Alexandro Baldassin, Edson Borin, Daniel Carlos Guimarães Pedronette, Longin Jan Latecki:
Rank-based Hashing for Effective and Efficient Nearest Neighbor Search for Image Retrieval. ACM Trans. Multim. Comput. Commun. Appl. 20(10): 329:1-329:19 (2024) - [c61]Marina Chagas Bulach Gapski, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette:
Feature Fusion for Graph Convolutional Networks in Semi-Supervised Image Classification. SIBGRAPI 2024: 1-6 - [c60]Vinicius Atsushi Sato Kawai, Gustavo Rosseto Leticio, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette:
Neighbor Embedding Projection and Rank-Based Manifold Learning for Image Retrieval. SIBGRAPI 2024: 1-6 - [c59]Leonardo Tadeu Lopes, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette:
Self-Supervised Image Re-Ranking based on Hypergraphs and Graph Convolutional Networks. SIBGRAPI 2024: 1-6 - [c58]Ademir Moreno, Daniel Carlos Guimarães Pedronette:
Unsupervised Dual-Layer Aggregation for Feature Fusion on Image Retrieval Tasks. SIBGRAPI 2024: 1-6 - 2023
- [j39]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: 103618 (2023) - [j38]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): 118995 (2023) - [j37]Filipe Marcel Fernandes Gonçalves, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres:
Regression by Re-Ranking. Pattern Recognit. 140: 109577 (2023) - [j36]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: 2811-2826 (2023) - [c57]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: 75-82 - [c56]Lucas Pascotti Valem, Vanessa Helena Pereira-Ferrero, Daniel Carlos Guimarães Pedronette:
Self-Supervised Regression for Query Performance Prediction on Image Retrieval. AIKE 2023: 95-98 - [c55]André Lara Temple De Antonio, Daniel Carlos Guimarães Pedronette:
Manifold Learning for Brain Tumor MRI Image Retrieval and Classification. BIBE 2023: 36-42 - [c54]Bionda Rozin, Emílio Bergamim, Daniel Carlos Guimarães Pedronette, Fabricio Aparecido Breve:
Semi-supervised Time Series Classification Through Image Representations. ICCSA (2) 2023: 48-65 - [c53]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: 2030-2033 - [c52]Gustavo Leticio, Lucas Pascotti Valem, Leonardo Tadeu Lopes, Daniel Carlos Guimarães Pedronette:
pyUDLF: A Python Framework for Unsupervised Distance Learning Tasks. ACM Multimedia 2023: 9680-9684 - [c51]Leonardo Tadeu Lopes, Daniel Carlos Guimarães Pedronette:
Self-Supervised Clustering based on Manifold Learning and Graph Convolutional Networks. WACV 2023: 5623-5632 - [i7]Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Longin Jan Latecki:
Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold Learning. CoRR abs/2304.12448 (2023) - [i6]Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Longin Jan Latecki:
Graph Convolutional Networks based on Manifold Learning for Semi-Supervised Image Classification. CoRR abs/2304.12492 (2023) - [i5]Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette:
Person Re-ID through Unsupervised Hypergraph Rank Selection and Fusion. CoRR abs/2304.14321 (2023) - 2022
- [j35]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): 100078 (2022) - [j34]Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette:
Person Re-ID through unsupervised hypergraph rank selection and fusion. Image Vis. Comput. 123: 104473 (2022) - [j33]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: 103666 (2022) - [c50]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: 1371-1375 - [c49]Luiz H. Buris, Daniel C. G. Pedronette, João P. Papa, Jurandy Almeida, Gustavo Carneiro, Fábio Augusto Faria:
Mixup-Based Deep Metric Learning Approaches for Incomplete Supervision. ICIP 2022: 2581-2585 - [c48]Lucas Barbosa de Almeida, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette:
Graph Convolutional Networks and Manifold Ranking for Multimodal Video Retrieval. ICIP 2022: 2811-2815 - [c47]Rafael Bezerra de Menezes Rodrigues, Pedro Ivo Monteiro Privatto, Gustavo José de Sousa, Rafael P. Murari, Luis C. S. Afonso, João P. Papa, Daniel C. G. Pedronette, Ivan Rizzo Guilherme, Stephan R. Perrout, Aliel F. Riente:
PetroBERT: A Domain Adaptation Language Model for Oil and Gas Applications in Portuguese. PROPOR 2022: 101-109 - [i4]Guilherme C. Oliveira, Gustavo H. Rosa, Daniel C. G. Pedronette, João P. Papa, Himeesh Kumar, Leandro A. Passos, Dinesh Kant Kumar:
Which Generative Adversarial Network Yields High-Quality Synthetic Medical Images: Investigation Using AMD Image Datasets. CoRR abs/2203.13856 (2022) - [i3]Luiz H. Buris, Daniel C. G. Pedronette, João P. Papa, Jurandy Almeida, Gustavo Carneiro, Fábio Augusto Faria:
Mixup-based Deep Metric Learning Approaches for Incomplete Supervision. CoRR abs/2204.13572 (2022) - 2021
- [j32]Daniel Carlos Guimarães Pedronette, Longin Jan Latecki:
Rank-based self-training for graph convolutional networks. Inf. Process. Manag. 58(2): 102443 (2021) - [j31]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: 202-220 (2021) - [j30]Daniel Carlos Guimarães Pedronette, Lucas Pascotti Valem, Longin Jan Latecki:
Efficient Rank-Based Diffusion Process with Assured Convergence. J. Imaging 7(3): 49 (2021) - [j29]Daniel Carlos Guimarães Pedronette, Lucas Pascotti Valem, Ricardo da Silva Torres:
A BFS-Tree of ranking references for unsupervised manifold learning. Pattern Recognit. 111: 107666 (2021) - [c46]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: 4193-4201 - [c45]Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette:
A Denoising Convolutional Neural Network for Self-Supervised Rank Effectiveness Estimation on Image Retrieval. ICMR 2021: 294-302 - [c44]Lucas Fernando Alvarenga e Silva, Daniel C. G. Pedronette, Fábio Augusto Faria, João P. Papa, Jurandy Almeida:
Improving Transferability of Domain Adaptation Networks Through Domain Alignment Layers. SIBGRAPI 2021: 168-175 - [c43]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: 378-385 - [c42]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: 417-424 - [c41]Nikolas Gomes de Sá, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette:
A Multi-level Rank Correlation Measure for Image Retrieval. VISIGRAPP (5: VISAPP) 2021: 370-378 - [i2]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 abs/2109.02693 (2021) - 2020
- [j28]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) - [j27]Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette:
Unsupervised selective rank fusion for image retrieval tasks. Neurocomputing 377: 182-199 (2020) - [j26]Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette:
Graph-based selective rank fusion for unsupervised image retrieval. Pattern Recognit. Lett. 135: 82-89 (2020) - [c40]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: 5752-5759 - [c39]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: 142-152 - [c38]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: 404-412
2010 – 2019
- 2019
- [j25]Victor de Abreu Campos, Daniel Carlos Guimarães Pedronette:
A framework for speaker retrieval and identification through unsupervised learning. Comput. Speech Lang. 58: 153-174 (2019) - [j24]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: 19-31 (2019) - [j23]Ícaro Cavalcante Dourado, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres:
Unsupervised graph-based rank aggregation for improved retrieval. Inf. Process. Manag. 56(4): 1260-1279 (2019) - [j22]Alexandro Baldassin, Ying Weng, Daniel Carlos Guimarães Pedronette, Jurandy Almeida:
An optimized unsupervised manifold learning algorithm for manycore architectures. Inf. Sci. 496: 410-430 (2019) - [j21]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): 5824-5838 (2019) - [c37]João Gabriel Camacho Presotto, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette:
Unsupervised Effectiveness Estimation Through Intersection of Ranking References. CAIP (2) 2019: 231-244 - [c36]Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette:
An Unsupervised Genetic Algorithm Framework for Rank Selection and Fusion on Image Retrieval. ICMR 2019: 58-62 - [i1]Ícaro Cavalcante Dourado, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres:
Unsupervised Graph-based Rank Aggregation for Improved Retrieval. CoRR abs/1901.05743 (2019) - 2018
- [j20]Filipe Marcel Fernandes Gonçalves, Ivan Rizzo Guilherme, Daniel Carlos Guimarães Pedronette:
Semantic Guided Interactive Image Retrieval for plant identification. Expert Syst. Appl. 91: 12-26 (2018) - [j19]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: 161-174 (2018) - [j18]Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Jurandy Almeida:
Unsupervised similarity learning through Cartesian product of ranking references. Pattern Recognit. Lett. 114: 41-52 (2018) - [j17]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): 80:1-80:23 (2018) - [c35]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: 560-565 - [c34]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: 1-8 - [c33]Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Fabricio Aparecido Breve, Ivan Rizzo Guilherme:
Manifold Correlation Graph for Semi-Supervised Learning. IJCNN 2018: 1-7 - 2017
- [j16]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) - [j15]Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres:
Unsupervised rank diffusion for content-based image retrieval. Neurocomputing 260: 478-489 (2017) - [c32]Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette:
Selection and Combination of Unsupervised Learning Methods for Image Retrieval. CBMI 2017: 27:1-27:6 - [c31]Jurandy Almeida, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette:
A Rank Aggregation Framework for Video Interestingness Prediction. ICIAP (1) 2017: 3-14 - [c30]Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette:
An Unsupervised Distance Learning Framework for Multimedia Retrieval. ICMR 2017: 107-111 - 2016
- [j14]Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres:
A correlation graph approach for unsupervised manifold learning in image retrieval tasks. Neurocomputing 208: 66-79 (2016) - [j13]Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres:
Combining re-ranking and rank aggregation methods for image retrieval. Multim. Tools Appl. 75(15): 9121-9144 (2016) - [j12]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: 357-367 (2016) - [j11]Jurandy Almeida, Daniel C. G. Pedronette, Bruna C. Alberton, Leonor Patricia C. Morellato, Ricardo da Silva Torres:
Unsupervised Distance Learning for Plant Species Identification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(12): 5325-5338 (2016) - [c29]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: 242-249 - [c28]Victor de Abreu Campos, Daniel Carlos Guimarães Pedronette:
Effective Speaker Retrieval and Recognition through Vector Quantization and Unsupervised Distance Learning. MARMI@ICMR 2016: 27-32 - [c27]Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres:
Rank Diffusion for Context-Based Image Retrieval. ICMR 2016: 321-325 - [c26]Fabricio Aparecido Breve, Daniel Carlos Guimarães Pedronette:
Combined unsupervised and semi-supervised learning for data classification. MLSP 2016: 1-6 - [c25]Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette:
Unsupervised Similarity Learning through Cartesian Product of Ranking References for Image Retrieval Tasks. SIBGRAPI 2016: 249-256 - 2015
- [j10]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: 27 (2015) - [c24]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 - [c23]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: 51-58 - [c22]César Yugo Okada, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres:
Unsupervised Distance Learning by Rank Correlation Measures for Image Retrieval. ICMR 2015: 331-338 - [c21]Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres:
Unsupervised Effectiveness Estimation for Image Retrieval Using Reciprocal Rank Information. SIBGRAPI 2015: 321-328 - 2014
- [j9]Daniel Carlos Guimarães Pedronette, Jurandy Almeida, Ricardo da Silva Torres:
A scalable re-ranking method for content-based image retrieval. Inf. Sci. 265: 91-104 (2014) - [j8]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): 120-130 (2014) - [j7]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): 689-716 (2014) - [j6]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): 1323-1359 (2014) - [j5]Fábio Augusto Faria, Daniel C. G. Pedronette, Jefersson A. dos Santos, Anderson Rocha, Ricardo da Silva Torres:
Rank Aggregation for Pattern Classifier Selection in Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(4): 1103-1115 (2014) - [c20]Jurandy Almeida, Daniel Carlos Guimarães Pedronette, Otávio Augusto Bizetto Penatti:
Unsupervised Manifold Learning for Video Genre Retrieval. CIARP 2014: 604-612 - [c19]Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres:
Unsupervised manifold learning by correlation graph and strongly connected components for image retrieval. ICIP 2014: 1892-1896 - [c18]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 - [c17]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: 345 - [c16]Daniel Carlos Guimarães Pedronette, Rodrigo Tripodi Calumby, Ricardo da Silva Torres:
Semi-supervised Learning for Relevance Feedback on Image Retrieval Tasks. SIBGRAPI 2014: 243-250 - [c15]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: 153-156 - 2013
- [j4]Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres:
Image re-ranking and rank aggregation based on similarity of ranked lists. Pattern Recognit. 46(8): 2350-2360 (2013) - [c14]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 - [c13]Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres, Edson Borin, Maurício Breternitz Jr.:
Image Re-ranking Acceleration on GPUs. SBAC-PAD 2013: 176-183 - [c12]Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres:
Unsupervised Measures for Estimating the Effectiveness of Image Retrieval Systems. SIBGRAPI 2013: 341-348 - 2012
- [b1]Daniel Carlos Guimarães Pedronette:
Explorando informações contextuais para reclassificação de imagens e agregação de listas em tarefas de recuperação de imagens. University of Campinas, Brazil, 2012 - [j3]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): 115-128 (2012) - [j2]Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres:
Exploiting pairwise recommendation and clustering strategies for image re-ranking. Inf. Sci. 207: 19-34 (2012) - [c11]Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres:
Combining Re-Ranking and Rank Aggregation Methods. CIARP 2012: 170-178 - [c10]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: 474-477 - [c9]Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres, Edson Borin, Maurício Breternitz Jr.:
Efficient Image Re-Ranking Computation on GPUs. ISPA 2012: 95-102 - [c8]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 - 2011
- [j1]Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres:
Exploiting clustering approaches for image re-ranking. J. Vis. Lang. Comput. 22(6): 453-466 (2011) - [c7]Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres:
Image Re-ranking and Rank Aggregation Based on Similarity of Ranked Lists. CAIP (1) 2011: 369-376 - [c6]Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres:
Exploiting contextual information for rank aggregation. ICIP 2011: 97-100 - [c5]Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres:
Exploiting contextual spaces for image re-ranking and rank aggregation. ICMR 2011: 13 - 2010
- [c4]Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres:
Exploiting Contextual Information for Image Re-ranking. CIARP 2010: 541-548 - [c3]Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres:
Distances Correlation for Re-ranking in Content-Based Image Retrieval. SIBGRAPI 2010: 1-8 - [c2]Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres:
Shape Retrieval using Contour Features and Distance Optimization. VISAPP (2) 2010: 197-202
2000 – 2009
- 2008
- [c1]Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres:
Uma Plataforma de Serviços de Recomendação para Bibliotecas Digitais. SBBD 2008: 253-267
Coauthor Index
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