Daniel Carlos Guimarães Pedronette

119 papers A* 1A 1B 17C 9Journal 50Unranked 40

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Optimization in Information Retrieval: A Systematic Review of Techniques for Performance and Scalability. IEEE Access André Tomitan Bocces, Alexandro Baldassin, Daniel Carlos Guimarães Pedronette, Allberson Bruno de Oliveira Dantas
2025	B	`conf`	Effective Graph and Rank-based Contextual Embeddings for Textual and Multimedia Data. IJCNN Thiago César Castilho Almeida, Gustavo Rosseto Leticio, Lucas Pascotti Valem, André Freitas, Daniel Carlos Guimarães Pedronette
2025	J	`jnl`	Fusion Regression. Pattern Recognit. Lett. Filipe Marcel Fernandes Gonçalves, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
2025	—	`conf`	Graph Convolutional Networks Based on Aggregated Multilevel kNN Graph for Image Classification. SIBGRAPI Gustavo Rosseto Leticio, Vinicius Atsushi Sato Kawai, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2025	—	`conf`	Graph Convolutional Networks and Particle Competition and Cooperation for Semi-Supervised Learning. VISIGRAPP (2): VISAPP Gustavo Rosseto Leticio, Matheus Henrique Jacob dos Santos, Lucas Pascotti Valem, Vinicius Atsushi Sato Kawai, Fabricio Aparecido Breve, Daniel Carlos Guimarães Pedronette
2025	—	`conf`	Inductive Self-Supervised Dimensionality Reduction for Image Retrieval. VISIGRAPP (2): VISAPP Deryk Willyan Biotto, Guilherme Henrique Jardim, Vinicius Atsushi Sato Kawai, Bionda Rozin, Denis Henrique Pinheiro Salvadeo, Daniel Carlos Guimarães Pedronette
2025	—	`conf`	Neighbor Embedding Projection and Graph Convolutional Networks for Image Classification. VISIGRAPP (2): VISAPP Gustavo Rosseto Leticio, Vinicius Atsushi Sato Kawai, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2025	—	`conf`	Rank-Based Unsupervised Similarity Learning: Framework and Applications. SIBGRAPI Italo De Matos Saldanha, Vinicius Atsushi Sato Kawai, Bionda Rozin, Gustavo Rosseto Leticio, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2025	J	`jnl`	Re-Ranking and Representations for Time Series Retrieval: A Comparative Study. IEEE Access Bionda Rozin, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
2025	—	`conf`	Semi-Supervised Image Retrieval Through Particle Competition and Cooperation Combined with Manifold Learning. SIBGRAPI Vinicius Atsushi Sato Kawai, Gustavo Rosseto Leticio, Daniel Carlos Guimarães Pedronette
2025	J	`jnl`	Transduction to induction: Unsupervised representation learning based on rank information. Neurocomputing Deryk Willyan Biotto, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Denis Henrique Pinheiro Salvadeo
2025	—	`conf`	Using Graph Convolutional Networks to Rank Rules in Associative Classifiers. ICEIS (1) Maicon Dall'Agnol, Veronica Oliveira de Carvalho, Daniel Carlos Guimarães Pedronette
2024	—	`conf`	Contrastive Loss Based on Contextual Similarity for Image Classification. ISVC (1) Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Mohand Saïd Allili
2024	J	`jnl`	Feature Fusion and Augmentation Based on Manifold Ranking for Image Classification. Int. J. Semantic Comput. Vanessa Helena Pereira-Ferrero, Lucas Pascotti Valem, Gustavo Rosseto Leticio, Daniel Carlos Guimarães Pedronette
2024	—	`conf`	Feature Fusion for Graph Convolutional Networks in Semi-Supervised Image Classification. SIBGRAPI Marina Chagas Bulach Gapski, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2024	J	`jnl`	Manifold information through neighbor embedding projection for image retrieval. Pattern Recognit. Lett. Gustavo Rosseto Leticio, Vinicius Atsushi Sato Kawai, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
2024	—	`conf`	Neighbor Embedding Projection and Rank-Based Manifold Learning for Image Retrieval. SIBGRAPI Vinicius Atsushi Sato Kawai, Gustavo Rosseto Leticio, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2024	J	`jnl`	Rank-based Hashing for Effective and Efficient Nearest Neighbor Search for Image Retrieval. ACM Trans. Multim. Comput. Commun. Appl. Vinicius Atsushi Sato Kawai, Lucas Pascotti Valem, Alexandro Baldassin, Edson Borin, Daniel Carlos Guimarães Pedronette, Longin Jan Latecki
2024	—	`conf`	Self-Supervised Image Re-Ranking based on Hypergraphs and Graph Convolutional Networks. SIBGRAPI Leonardo Tadeu Lopes, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2024	—	`conf`	Unsupervised Dual-Layer Aggregation for Feature Fusion on Image Retrieval Tasks. SIBGRAPI Ademir Moreno, Daniel Carlos Guimarães Pedronette
2024	—	`conf`	Unsupervised Effectiveness Estimation Measure Based on Rank Correlation for Image Retrieval. ISVC (2) Thiago César Castilho Almeida, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2024	J	`jnl`	Weakly supervised classification through manifold learning and rank-based contextual measures. Neurocomputing João Gabriel Camacho Presotto, Lucas Pascotti Valem, Nikolas Gomes de Sá, Daniel Carlos Guimarães Pedronette, João Paulo Papa
2023	C	`conf`	A Meta-Feature Model for Exploiting Different Regressors to Estimate Sugarcane Crop Yield. IGARSS Luiz Antonio Falaguasta Barbosa, Daniel Carlos Guimarães Pedronette, Ivan Rizzo Guilherme
2023	—	`conf`	Feature Fusion and Augmentation based on Manifold Ranking for Image Classification. AIKE Vanessa Helena Pereira-Ferrero, Lucas Pascotti Valem, Gustavo Rosseto Leticio, Daniel Carlos Guimarães Pedronette
2023	J	`jnl`	Feature augmentation based on manifold ranking and LSTM for image classification. Expert Syst. Appl. Vanessa Helena Pereira-Ferrero, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2023	J	`jnl`	Graph Convolutional Networks based on Manifold Learning for Semi-Supervised Image Classification. CoRR Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Longin Jan Latecki
2023	J	`jnl`	Graph Convolutional Networks based on manifold learning for semi-supervised image classification. Comput. Vis. Image Underst. Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Longin Jan Latecki
2023	C	`conf`	Manifold Learning for Brain Tumor MRI Image Retrieval and Classification. BIBE André Lara Temple De Antonio, Daniel Carlos Guimarães Pedronette
2023	J	`jnl`	Person Re-ID through Unsupervised Hypergraph Rank Selection and Fusion. CoRR Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2023	J	`jnl`	Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold Learning. CoRR Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Longin Jan Latecki
2023	J	`jnl`	Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold Learning. IEEE Trans. Image Process. Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Longin Jan Latecki
2023	J	`jnl`	Regression by Re-Ranking. Pattern Recognit. Filipe Marcel Fernandes Gonçalves, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
2023	A	`conf`	Self-Supervised Clustering based on Manifold Learning and Graph Convolutional Networks. WACV Leonardo Tadeu Lopes, Daniel Carlos Guimarães Pedronette
2023	—	`conf`	Self-Supervised Regression for Query Performance Prediction on Image Retrieval. AIKE Lucas Pascotti Valem, Vanessa Helena Pereira-Ferrero, Daniel Carlos Guimarães Pedronette
2023	—	`conf`	Semi-supervised Time Series Classification Through Image Representations. ICCSA (2) Bionda Rozin, Emílio Bergamim, Daniel Carlos Guimarães Pedronette, Fabricio Aparecido Breve
2023	A*	`conf`	pyUDLF: A Python Framework for Unsupervised Distance Learning Tasks. ACM Multimedia Gustavo Leticio, Lucas Pascotti Valem, Leonardo Tadeu Lopes, Daniel Carlos Guimarães Pedronette
2022	B	`conf`	A Novel Rank Correlation Measure for Manifold Learning on Image Retrieval and Person Re-ID. ICIP Lucas Pascotti Valem, Vinicius Atsushi Sato Kawai, Vanessa Helena Pereira-Ferrero, Daniel Carlos Guimarães Pedronette
2022	B	`conf`	Graph Convolutional Networks and Manifold Ranking for Multimodal Video Retrieval. ICIP Lucas Barbosa de Almeida, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2022	J	`jnl`	Person Re-ID through unsupervised hypergraph rank selection and fusion. Image Vis. Comput. Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2022	J	`jnl`	RaDE+: A semantic rank-based graph embedding algorithm. Int. J. Inf. Manag. Data Insights Filipe Alves de Fernando, Daniel Carlos Guimarães Pedronette, Gustavo José de Sousa, Lucas Pascotti Valem, Ivan Rizzo Guilherme
2022	J	`jnl`	Weakly supervised learning based on hypergraph manifold ranking. J. Vis. Commun. Image Represent. João Gabriel Camacho Presotto, Samuel Felipe dos Santos, Lucas Pascotti Valem, Fábio Augusto Faria, João Paulo Papa, Jurandy Almeida, Daniel Carlos Guimarães Pedronette
2021	J	`jnl`	A BFS-Tree of ranking references for unsupervised manifold learning. Pattern Recognit. Daniel Carlos Guimarães Pedronette, Lucas Pascotti Valem, Ricardo da Silva Torres
2021	B	`conf`	A Denoising Convolutional Neural Network for Self-Supervised Rank Effectiveness Estimation on Image Retrieval. ICMR Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2021	—	`conf`	A Multi-level Rank Correlation Measure for Image Retrieval. VISIGRAPP (5: VISAPP) Nikolas Gomes de Sá, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2021	J	`jnl`	A rank-based framework through manifold learning for improved clustering tasks. Inf. Sci. Bionda Rozin, Vanessa Helena Pereira-Ferrero, Leonardo Tadeu Lopes, Daniel Carlos Guimarães Pedronette
2021	J	`jnl`	Efficient Rank-Based Diffusion Process with Assured Convergence. J. Imaging Daniel Carlos Guimarães Pedronette, Lucas Pascotti Valem, Longin Jan Latecki
2021	—	`conf`	Enhancing Shallow Neural Networks Through Fourier-based Information Fusion for Stroke Classification. SIBGRAPI Mateus Roder, Gustavo Henrique Rosa, João Paulo Papa, Daniel Carlos Guimarães Pedronette
2021	J	`jnl`	Improving Transferability of Domain Adaptation Networks Through Domain Alignment Layers. CoRR Lucas Fernando Alvarenga e Silva, Daniel Carlos Guimarães Pedronette, Fábio Augusto Faria, João Paulo Papa, Jurandy Almeida
2021	J	`jnl`	Rank-based self-training for graph convolutional networks. Inf. Process. Manag. Daniel Carlos Guimarães Pedronette, Longin Jan Latecki
2021	—	`conf`	Representation Learning for Image Retrieval through 3D CNN and Manifold Ranking. SIBGRAPI Lucas Barbosa de Almeida, Vanessa Helena Pereira-Ferrero, Lucas Pascotti Valem, Jurandy Almeida, Daniel Carlos Guimarães Pedronette
2021	—	`conf`	SMS Spam Detection Through Skip-gram Embeddings and Shallow Networks. ACL/IJCNLP (Findings) Gustavo José de Sousa, Daniel Carlos Guimarães Pedronette, João Paulo Papa, Ivan Rizzo Guilherme
2020	J	`jnl`	A unified model for accelerating unsupervised iterative re-ranking algorithms. Concurr. Comput. Pract. Exp. Flávia Pisani, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres, Edson Borin, Maurício Breternitz Jr.
2020	J	`jnl`	Graph-based selective rank fusion for unsupervised image retrieval. Pattern Recognit. Lett. Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2020	—	`conf`	Manifold Learning-based Clustering Approach Applied to Anomaly Detection in Surveillance Videos. VISIGRAPP (5: VISAPP) Leonardo Tadeu Lopes, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Ivan Rizzo Guilherme, João Paulo Papa, Marcos Cleison Silva Santana, Danilo Colombo
2020	—	`conf`	RaDE: A Rank-based Graph Embedding Approach. VISIGRAPP (5: VISAPP) Filipe Alves de Fernando, Daniel Carlos Guimarães Pedronette, Gustavo José de Sousa, Lucas Pascotti Valem, Ivan Rizzo Guilherme
2020	J	`jnl`	Unsupervised selective rank fusion for image retrieval tasks. Neurocomputing Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2020	B	`conf`	Weakly Supervised Learning through Rank-based Contextual Measures. ICPR João Gabriel Camacho Presotto, Lucas Pascotti Valem, Nikolas Gomes de Sá, Daniel Carlos Guimarães Pedronette, João Paulo Papa
2019	J	`jnl`	A framework for speaker retrieval and identification through unsupervised learning. Comput. Speech Lang. Victor de Abreu Campos, Daniel Carlos Guimarães Pedronette
2019	B	`conf`	An Unsupervised Genetic Algorithm Framework for Rank Selection and Fusion on Image Retrieval. ICMR Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2019	J	`jnl`	An optimized unsupervised manifold learning algorithm for manycore architectures. Inf. Sci. Alexandro Baldassin, Ying Weng, Daniel Carlos Guimarães Pedronette, Jurandy Almeida
2019	J	`jnl`	Multimedia Retrieval Through Unsupervised Hypergraph-Based Manifold Ranking. IEEE Trans. Image Process. Daniel Carlos Guimarães Pedronette, Lucas Pascotti Valem, Jurandy Almeida, Ricardo da Silva Torres
2019	J	`jnl`	Semi-supervised and active learning through Manifold Reciprocal kNN Graph for image retrieval. Neurocomputing Daniel Carlos Guimarães Pedronette, Ying Weng, Alexandro Baldassin, Chaohuan Hou
2019	—	`conf`	Unsupervised Effectiveness Estimation Through Intersection of Ranking References. CAIP (2) João Gabriel Camacho Presotto, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2019	J	`jnl`	Unsupervised Graph-based Rank Aggregation for Improved Retrieval. CoRR Ícaro Cavalcante Dourado, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
2019	J	`jnl`	Unsupervised graph-based rank aggregation for improved retrieval. Inf. Process. Manag. Ícaro Cavalcante Dourado, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
2018	B	`conf`	Improving Optimum- Path Forest Classification Using Unsupervised Manifold Learning. ICPR Luis Claudio Sugi Afonso, Daniel Carlos Guimarães Pedronette, André N. de Souza, João Paulo Papa
2018	B	`conf`	Manifold Correlation Graph for Semi-Supervised Learning. IJCNN Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Fabricio Aparecido Breve, Ivan Rizzo Guilherme
2018	B	`conf`	Pattern Analysis in Drilling Reports using Optimum-Path Forest. IJCNN 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
2018	J	`jnl`	Semantic Guided Interactive Image Retrieval for plant identification. Expert Syst. Appl. Filipe Marcel Fernandes Gonçalves, Ivan Rizzo Guilherme, Daniel Carlos Guimarães Pedronette
2018	J	`jnl`	Unsupervised Similarity Learning through Rank Correlation and kNN Sets. ACM Trans. Multim. Comput. Commun. Appl. Lucas Pascotti Valem, Carlos Renan De Oliveira, Daniel Carlos Guimarães Pedronette, Jurandy Almeida
2018	J	`jnl`	Unsupervised manifold learning through reciprocal kNN graph and Connected Components for image retrieval tasks. Pattern Recognit. Daniel Carlos Guimarães Pedronette, Filipe Marcel Fernandes Gonçalves, Ivan Rizzo Guilherme
2018	J	`jnl`	Unsupervised similarity learning through Cartesian product of ranking references. Pattern Recognit. Lett. Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Jurandy Almeida
2017	—	`conf`	A Rank Aggregation Framework for Video Interestingness Prediction. ICIAP (1) Jurandy Almeida, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2017	B	`conf`	An Unsupervised Distance Learning Framework for Multimedia Retrieval. ICMR Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2017	J	`jnl`	Contextual Spaces Re-Ranking: accelerating the Re-sort Ranked Lists step on heterogeneous systems. Concurr. Comput. Pract. Exp. Flavia Pisani, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres, Edson Borin
2017	C	`conf`	Selection and Combination of Unsupervised Learning Methods for Image Retrieval. CBMI Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2017	J	`jnl`	Unsupervised rank diffusion for content-based image retrieval. Neurocomputing Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
2016	J	`jnl`	A correlation graph approach for unsupervised manifold learning in image retrieval tasks. Neurocomputing Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
2016	J	`jnl`	A graph-based ranked-list model for unsupervised distance learning on shape retrieval. Pattern Recognit. Lett. Daniel Carlos Guimarães Pedronette, Jurandy Almeida, Ricardo da Silva Torres
2016	—	`conf`	Combined unsupervised and semi-supervised learning for data classification. MLSP Fabricio Aparecido Breve, Daniel Carlos Guimarães Pedronette
2016	J	`jnl`	Combining re-ranking and rank aggregation methods for image retrieval. Multim. Tools Appl. Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
2016	C	`conf`	Diagnostic Support for Alzheimers Disease through Feature-Based Brain MRI Retrieval and Unsupervised Distance Learning. BIBE Bruno T. Padovese, Denis H. P. Salvadeo, Daniel Carlos Guimarães Pedronette
2016	—	`conf`	Effective Speaker Retrieval and Recognition through Vector Quantization and Unsupervised Distance Learning. MARMI@ICMR Victor de Abreu Campos, Daniel Carlos Guimarães Pedronette
2016	B	`conf`	Rank Diffusion for Context-Based Image Retrieval. ICMR Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
2016	—	`conf`	Unsupervised Similarity Learning through Cartesian Product of Ranking References for Image Retrieval Tasks. SIBGRAPI Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
2015	J	`jnl`	A semi-supervised learning algorithm for relevance feedback and collaborative image retrieval. EURASIP J. Image Video Process. Daniel Carlos Guimarães Pedronette, Rodrigo Tripodi Calumby, Ricardo da Silva Torres
2015	B	`conf`	Effective, Efficient, and Scalable Unsupervised Distance Learning in Image Retrieval Tasks. ICMR Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres, Edson Borin, Jurandy Almeida
2015	—	`conf`	RECOD @ Placing Task of MediaEval 2015. MediaEval 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
2015	B	`conf`	Unsupervised Distance Learning by Rank Correlation Measures for Image Retrieval. ICMR César Yugo Okada, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
2015	—	`conf`	Unsupervised Effectiveness Estimation for Image Retrieval Using Reciprocal Rank Information. SIBGRAPI Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
2014	J	`jnl`	A rank aggregation framework for video multimodal geocoding. Multim. Tools Appl. Lin Tzy Li, Daniel Carlos Guimarães Pedronette, Jurandy Almeida, Otávio Augusto Bizetto Penatti, Rodrigo Tripodi Calumby, Ricardo da Silva Torres
2014	J	`jnl`	A scalable re-ranking method for content-based image retrieval. Inf. Sci. Daniel Carlos Guimarães Pedronette, Jurandy Almeida, Ricardo da Silva Torres
2014	—	`conf`	Image segmentation through combined methods: Watershed transform, unsupervised distance learning and Normalized Cut. SSIAI Tiago William Pinto, Marco António Garcia de Carvalho, Daniel Carlos Guimarães Pedronette, Paulo Sérgio Martins
2014	—	`conf`	Multimedia Geocoding: The RECOD 2014 Approach. MediaEval 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
2014	—	`conf`	Semi-supervised Learning for Relevance Feedback on Image Retrieval Tasks. SIBGRAPI Daniel Carlos Guimarães Pedronette, Rodrigo Tripodi Calumby, Ricardo da Silva Torres
2014	B	`conf`	Unsupervised Distance Learning By Reciprocal kNN Distance for Image Retrieval. ICMR Daniel Carlos Guimarães Pedronette, Otávio Augusto Bizetto Penatti, Rodrigo Tripodi Calumby, Ricardo da Silva Torres
2014	C	`conf`	Unsupervised Manifold Learning for Video Genre Retrieval. CIARP Jurandy Almeida, Daniel Carlos Guimarães Pedronette, Otávio Augusto Bizetto Penatti
2014	B	`conf`	Unsupervised manifold learning by correlation graph and strongly connected components for image retrieval. ICIP Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
2014	J	`jnl`	Unsupervised manifold learning using Reciprocal kNN Graphs in image re-ranking and rank aggregation tasks. Image Vis. Comput. Daniel Carlos Guimarães Pedronette, Otávio Augusto Bizetto Penatti, Ricardo da Silva Torres
2014	J	`jnl`	Using contextual spaces for image re-ranking and rank aggregation. Multim. Tools Appl. Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres, Rodrigo Tripodi Calumby
2013	C	`conf`	Image Re-ranking Acceleration on GPUs. SBAC-PAD Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres, Edson Borin, Maurício Breternitz Jr.
2013	J	`jnl`	Image re-ranking and rank aggregation based on similarity of ranked lists. Pattern Recognit. Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
2013	—	`conf`	Multimodal Image Geocoding: The 2013 RECOD's Approach. MediaEval Lin Tzy Li, Jurandy Almeida, Otávio Augusto Bizetto Penatti, Rodrigo Tripodi Calumby, Daniel Carlos Guimarães Pedronette, Marcos André Gonçalves, Ricardo da Silva Torres
2013	—	`conf`	Unsupervised Measures for Estimating the Effectiveness of Image Retrieval Systems. SIBGRAPI Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
2012	—	`conf`	A Multimodal Approach for Video Geocoding. MediaEval Lin Tzy Li, Jurandy Almeida, Daniel Carlos Guimarães Pedronette, Otávio Augusto Bizetto Penatti, Ricardo da Silva Torres
2012	C	`conf`	Combining Re-Ranking and Rank Aggregation Methods. CIARP Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
2012	C	`conf`	Efficient Image Re-Ranking Computation on GPUs. ISPA Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres, Edson Borin, Maurício Breternitz Jr.
2012	J	`jnl`	Exploiting contextual information for image re-ranking and rank aggregation. Int. J. Multim. Inf. Retr. Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
2012	J	`jnl`	Exploiting pairwise recommendation and clustering strategies for image re-ranking. Inf. Sci. Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
2012	—	`—`	Explorando informações contextuais para reclassificação de imagens e agregação de listas em tarefas de recuperação de imagens. Daniel Carlos Guimarães Pedronette
2012	—	`conf`	Multimedia multimodal geocoding. SIGSPATIAL/GIS Lin Tzy Li, Daniel Carlos Guimarães Pedronette, Jurandy Almeida, Otávio Augusto Bizetto Penatti, Rodrigo Tripodi Calumby, Ricardo da Silva Torres
2011	J	`jnl`	Exploiting clustering approaches for image re-ranking. J. Vis. Lang. Comput. Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
2011	B	`conf`	Exploiting contextual information for rank aggregation. ICIP Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
2011	B	`conf`	Exploiting contextual spaces for image re-ranking and rank aggregation. ICMR Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
2011	—	`conf`	Image Re-ranking and Rank Aggregation Based on Similarity of Ranked Lists. CAIP (1) Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
2010	—	`conf`	Distances Correlation for Re-ranking in Content-Based Image Retrieval. SIBGRAPI Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
2010	C	`conf`	Exploiting Contextual Information for Image Re-ranking. CIARP Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
2010	—	`conf`	Shape Retrieval using Contour Features and Distance Optimization. VISAPP (2) Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres
2008	—	`conf`	Uma Plataforma de Serviços de Recomendação para Bibliotecas Digitais. SBBD Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres