Uma Plataforma de Serviços de Recomendação para Bibliotecas Digitais. - Daniel Carlos Guimarães Pedronette; Ricardo da Silva Torres (SBBD, 2008)

Exploiting Contextual Information for Image Re-ranking. - Daniel Carlos Guimarães Pedronette; Ricardo da Silva Torres (CIARP, 2010)

Distances Correlation for Re-ranking in Content-Based Image Retrieval. - Daniel Carlos Guimarães Pedronette; Ricardo da Silva Torres (SIBGRAPI, 2010)

Shape Retrieval using Contour Features and Distance Optimization. - Daniel Carlos Guimarães Pedronette; Ricardo da Silva Torres (VISAPP (2), 2010)

Exploiting contextual information for rank aggregation. - Daniel Carlos Guimarães Pedronette; Ricardo da Silva Torres (ICIP, 2011)

Exploiting contextual spaces for image re-ranking and rank aggregation. - Daniel Carlos Guimarães Pedronette; Ricardo da Silva Torres (ICMR, 2011)

Exploiting clustering approaches for image re-ranking. - Daniel Carlos Guimarães Pedronette; Ricardo da Silva Torres (J. Vis. Lang. Comput., 2011)

Combining Re-Ranking and Rank Aggregation Methods. - Daniel Carlos Guimarães Pedronette; Ricardo da Silva Torres (CIARP, 2012)

Multimedia multimodal geocoding. - Lin Tzy Li; Daniel Carlos Guimarães Pedronette; Jurandy Almeida; Otávio Augusto Bizetto Penatti; Rodrigo Tripodi Calumby; Ricardo da Silva Torres (SIGSPATIAL/GIS, 2012)

Efficient Image Re-Ranking Computation on GPUs. - Daniel Carlos Guimarães Pedronette; Ricardo da Silva Torres; Edson Borin; Maurício Breternitz Jr. (ISPA, 2012)

A Multimodal Approach for Video Geocoding. - Lin Tzy Li; Jurandy Almeida; Daniel Carlos Guimarães Pedronette; Otávio Augusto Bizetto Penatti; Ricardo da Silva Torres (MediaEval, 2012)

Exploiting contextual information for image re-ranking and rank aggregation. - Daniel Carlos Guimarães Pedronette; Ricardo da Silva Torres (Int. J. Multim. Inf. Retr., 2012)

Exploiting pairwise recommendation and clustering strategies for image re-ranking. - Daniel Carlos Guimarães Pedronette; Ricardo da Silva Torres (Inf. Sci., 2012)

Explorando informações contextuais para reclassificação de imagens e agregação de listas em tarefas de recuperação de imagens. - Daniel Carlos Guimarães Pedronette (2012)

Multimodal Image Geocoding: The 2013 RECOD's Approach. - Lin Tzy Li; Jurandy Almeida; Otávio Augusto Bizetto Penatti; Rodrigo Tripodi Calumby; Daniel Carlos Guimarães Pedronette; Marcos André Gonçalves; Ricardo da Silva Torres (MediaEval, 2013)

Image Re-ranking Acceleration on GPUs. - Daniel Carlos Guimarães Pedronette; Ricardo da Silva Torres; Edson Borin; Maurício Breternitz Jr. (SBAC-PAD, 2013)

Unsupervised Measures for Estimating the Effectiveness of Image Retrieval Systems. - Daniel Carlos Guimarães Pedronette; Ricardo da Silva Torres (SIBGRAPI, 2013)

Image re-ranking and rank aggregation based on similarity of ranked lists. - Daniel Carlos Guimarães Pedronette; Ricardo da Silva Torres (Pattern Recognit., 2013)

Unsupervised Manifold Learning for Video Genre Retrieval. - Jurandy Almeida; Daniel Carlos Guimarães Pedronette; Otávio Augusto Bizetto Penatti (CIARP, 2014)

Unsupervised manifold learning by correlation graph and strongly connected components for image retrieval. - Daniel Carlos Guimarães Pedronette; Ricardo da Silva Torres (ICIP, 2014)

Multimedia Geocoding: The RECOD 2014 Approach. - 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 (MediaEval, 2014)

Unsupervised Distance Learning By Reciprocal kNN Distance for Image Retrieval. - Daniel Carlos Guimarães Pedronette; Otávio Augusto Bizetto Penatti; Rodrigo Tripodi Calumby; Ricardo da Silva Torres (ICMR, 2014)

Semi-supervised Learning for Relevance Feedback on Image Retrieval Tasks. - Daniel Carlos Guimarães Pedronette; Rodrigo Tripodi Calumby; Ricardo da Silva Torres (SIBGRAPI, 2014)

Image segmentation through combined methods: Watershed transform, unsupervised distance learning and Normalized Cut. - Tiago William Pinto; Marco António Garcia de Carvalho; Daniel Carlos Guimarães Pedronette; Paulo Sérgio Martins (SSIAI, 2014)

A scalable re-ranking method for content-based image retrieval. - Daniel Carlos Guimarães Pedronette; Jurandy Almeida; Ricardo da Silva Torres (Inf. Sci., 2014)

Unsupervised manifold learning using Reciprocal kNN Graphs in image re-ranking and rank aggregation tasks. - Daniel Carlos Guimarães Pedronette; Otávio Augusto Bizetto Penatti; Ricardo da Silva Torres (Image Vis. Comput., 2014)

A rank aggregation framework for video multimodal geocoding. - Lin Tzy Li; Daniel Carlos Guimarães Pedronette; Jurandy Almeida; Otávio Augusto Bizetto Penatti; Rodrigo Tripodi Calumby; Ricardo da Silva Torres (Multim. Tools Appl., 2014)

Using contextual spaces for image re-ranking and rank aggregation. - Daniel Carlos Guimarães Pedronette; Ricardo da Silva Torres; Rodrigo Tripodi Calumby (Multim. Tools Appl., 2014)

Rank Aggregation for Pattern Classifier Selection in Remote Sensing Images. - Fábio Augusto Faria; Daniel C. G. Pedronette; Jefersson A. dos Santos; Anderson Rocha 001; Ricardo da Silva Torres (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

RECOD @ Placing Task of MediaEval 2015. - 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; et al. (MediaEval, 2015)

Unsupervised Distance Learning by Rank Correlation Measures for Image Retrieval. - César Yugo Okada; Daniel Carlos Guimarães Pedronette; Ricardo da Silva Torres (ICMR, 2015)

Effective, Efficient, and Scalable Unsupervised Distance Learning in Image Retrieval Tasks. - Lucas Pascotti Valem; Daniel Carlos Guimarães Pedronette; Ricardo da Silva Torres; Edson Borin; Jurandy Almeida (ICMR, 2015)

Unsupervised Effectiveness Estimation for Image Retrieval Using Reciprocal Rank Information. - Daniel Carlos Guimarães Pedronette; Ricardo da Silva Torres (SIBGRAPI, 2015)

A semi-supervised learning algorithm for relevance feedback and collaborative image retrieval. - Daniel Carlos Guimarães Pedronette; Rodrigo Tripodi Calumby; Ricardo da Silva Torres (EURASIP J. Image Video Process., 2015)

Diagnostic Support for Alzheimers Disease through Feature-Based Brain MRI Retrieval and Unsupervised Distance Learning. - Bruno T. Padovese; Denis H. P. Salvadeo; Daniel Carlos Guimarães Pedronette (BIBE, 2016)

Effective Speaker Retrieval and Recognition through Vector Quantization and Unsupervised Distance Learning. - Victor de Abreu Campos; Daniel Carlos Guimarães Pedronette (MARMI@ICMR, 2016)

Rank Diffusion for Context-Based Image Retrieval. - Daniel Carlos Guimarães Pedronette; Ricardo da Silva Torres (ICMR, 2016)

Combined unsupervised and semi-supervised learning for data classification. - Fabricio Aparecido Breve; Daniel Carlos Guimarães Pedronette (MLSP, 2016)

Unsupervised Similarity Learning through Cartesian Product of Ranking References for Image Retrieval Tasks. - Lucas Pascotti Valem; Daniel Carlos Guimarães Pedronette (SIBGRAPI, 2016)

A correlation graph approach for unsupervised manifold learning in image retrieval tasks. - Daniel Carlos Guimarães Pedronette; Ricardo da Silva Torres (Neurocomputing, 2016)

Combining re-ranking and rank aggregation methods for image retrieval. - Daniel Carlos Guimarães Pedronette; Ricardo da Silva Torres (Multim. Tools Appl., 2016)

A graph-based ranked-list model for unsupervised distance learning on shape retrieval. - Daniel Carlos Guimarães Pedronette; Jurandy Almeida; Ricardo da Silva Torres (Pattern Recognit. Lett., 2016)

Unsupervised Distance Learning for Plant Species Identification. - Jurandy Almeida; Daniel C. G. Pedronette; Bruna C. Alberton; Leonor Patricia C. Morellato; Ricardo da Silva Torres (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Selection and Combination of Unsupervised Learning Methods for Image Retrieval. - Lucas Pascotti Valem; Daniel Carlos Guimarães Pedronette (CBMI, 2017)

A Rank Aggregation Framework for Video Interestingness Prediction. - Jurandy Almeida; Lucas Pascotti Valem; Daniel Carlos Guimarães Pedronette (ICIAP (1), 2017)

An Unsupervised Distance Learning Framework for Multimedia Retrieval. - Lucas Pascotti Valem; Daniel Carlos Guimarães Pedronette (ICMR, 2017)

Contextual Spaces Re-Ranking: accelerating the Re-sort Ranked Lists step on heterogeneous systems. - Flavia Pisani; Daniel Carlos Guimarães Pedronette; Ricardo da Silva Torres; Edson Borin (Concurr. Comput. Pract. Exp., 2017)

Unsupervised rank diffusion for content-based image retrieval. - Daniel Carlos Guimarães Pedronette; Ricardo da Silva Torres (Neurocomputing, 2017)

Improving Optimum- Path Forest Classification Using Unsupervised Manifold Learning. - Luis Claudio Sugi Afonso; Daniel Carlos Guimarães Pedronette; André N. de Souza; João Paulo Papa (ICPR, 2018)

Pattern Analysis in Drilling Reports using Optimum-Path Forest. - 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 (IJCNN, 2018)

Manifold Correlation Graph for Semi-Supervised Learning. - Lucas Pascotti Valem; Daniel Carlos Guimarães Pedronette; Fabricio Aparecido Breve; Ivan Rizzo Guilherme (IJCNN, 2018)

Semantic Guided Interactive Image Retrieval for plant identification. - Filipe Marcel Fernandes Gonçalves; Ivan Rizzo Guilherme; Daniel Carlos Guimarães Pedronette (Expert Syst. Appl., 2018)

Unsupervised manifold learning through reciprocal kNN graph and Connected Components for image retrieval tasks. - Daniel Carlos Guimarães Pedronette; Filipe Marcel Fernandes Gonçalves; Ivan Rizzo Guilherme (Pattern Recognit., 2018)

Unsupervised similarity learning through Cartesian product of ranking references. - Lucas Pascotti Valem; Daniel Carlos Guimarães Pedronette; Jurandy Almeida (Pattern Recognit. Lett., 2018)

Unsupervised Similarity Learning through Rank Correlation and kNN Sets. - Lucas Pascotti Valem; Carlos Renan De Oliveira; Daniel Carlos Guimarães Pedronette; Jurandy Almeida (ACM Trans. Multim. Comput. Commun. Appl., 2018)

Unsupervised Effectiveness Estimation Through Intersection of Ranking References. - João Gabriel Camacho Presotto; Lucas Pascotti Valem; Daniel Carlos Guimarães Pedronette (CAIP (2), 2019)

An Unsupervised Genetic Algorithm Framework for Rank Selection and Fusion on Image Retrieval. - Lucas Pascotti Valem; Daniel Carlos Guimarães Pedronette (ICMR, 2019)

A framework for speaker retrieval and identification through unsupervised learning. - Victor de Abreu Campos; Daniel Carlos Guimarães Pedronette (Comput. Speech Lang., 2019)

Semi-supervised and active learning through Manifold Reciprocal kNN Graph for image retrieval. - Daniel Carlos Guimarães Pedronette; Ying Weng; Alexandro Baldassin; Chaohuan Hou (Neurocomputing, 2019)

Unsupervised graph-based rank aggregation for improved retrieval. - Ícaro Cavalcante Dourado; Daniel Carlos Guimarães Pedronette; Ricardo da Silva Torres (Inf. Process. Manag., 2019)

An optimized unsupervised manifold learning algorithm for manycore architectures. - Alexandro Baldassin; Ying Weng; Daniel Carlos Guimarães Pedronette; Jurandy Almeida (Inf. Sci., 2019)

Multimedia Retrieval Through Unsupervised Hypergraph-Based Manifold Ranking. - Daniel Carlos Guimarães Pedronette; Lucas Pascotti Valem; Jurandy Almeida; Ricardo da Silva Torres (IEEE Trans. Image Process., 2019)

Weakly Supervised Learning through Rank-based Contextual Measures. - João Gabriel Camacho Presotto; Lucas Pascotti Valem; Nikolas Gomes de Sá; Daniel Carlos Guimarães Pedronette; João Paulo Papa (ICPR, 2020)

RaDE: A Rank-based Graph Embedding Approach. - Filipe Alves de Fernando; Daniel Carlos Guimarães Pedronette; Gustavo José de Sousa; Lucas Pascotti Valem; Ivan Rizzo Guilherme (VISIGRAPP (5: VISAPP), 2020)

Manifold Learning-based Clustering Approach Applied to Anomaly Detection in Surveillance Videos. - Leonardo Tadeu Lopes; Lucas Pascotti Valem; Daniel Carlos Guimarães Pedronette; Ivan Rizzo Guilherme; João Paulo Papa; Marcos Cleison Silva Santana; Danilo Colombo (VISIGRAPP (5: VISAPP), 2020)

A unified model for accelerating unsupervised iterative re-ranking algorithms. - Flávia Pisani; Lucas Pascotti Valem; Daniel Carlos Guimarães Pedronette; Ricardo da Silva Torres; Edson Borin; Maurício Breternitz Jr. (Concurr. Comput. Pract. Exp., 2020)

Unsupervised selective rank fusion for image retrieval tasks. - Lucas Pascotti Valem; Daniel Carlos Guimarães Pedronette (Neurocomputing, 2020)

Graph-based selective rank fusion for unsupervised image retrieval. - Lucas Pascotti Valem; Daniel Carlos Guimarães Pedronette (Pattern Recognit. Lett., 2020)

SMS Spam Detection Through Skip-gram Embeddings and Shallow Networks. - Gustavo José de Sousa; Daniel Carlos Guimarães Pedronette; João Paulo Papa; Ivan Rizzo Guilherme (ACL/IJCNLP (Findings), 2021)

A Denoising Convolutional Neural Network for Self-Supervised Rank Effectiveness Estimation on Image Retrieval. - Lucas Pascotti Valem; Daniel Carlos Guimarães Pedronette (ICMR, 2021)

Representation Learning for Image Retrieval through 3D CNN and Manifold Ranking. - Lucas Barbosa de Almeida; Vanessa Helena Pereira-Ferrero; Lucas Pascotti Valem; Jurandy Almeida; Daniel Carlos Guimarães Pedronette (SIBGRAPI, 2021)

Enhancing Shallow Neural Networks Through Fourier-based Information Fusion for Stroke Classification. - Mateus Roder; Gustavo Henrique Rosa; João Paulo Papa; Daniel Carlos Guimarães Pedronette (SIBGRAPI, 2021)

Improving Transferability of Domain Adaptation Networks Through Domain Alignment Layers. - Lucas Fernando Alvarenga e Silva; Daniel C. G. Pedronette; Fábio Augusto Faria; João P. Papa; Jurandy Almeida (SIBGRAPI, 2021)

A Multi-level Rank Correlation Measure for Image Retrieval. - Nikolas Gomes de Sá; Lucas Pascotti Valem; Daniel Carlos Guimarães Pedronette (VISIGRAPP (5: VISAPP), 2021)

Rank-based self-training for graph convolutional networks. - Daniel Carlos Guimarães Pedronette; Longin Jan Latecki (Inf. Process. Manag., 2021)

A rank-based framework through manifold learning for improved clustering tasks. - Bionda Rozin; Vanessa Helena Pereira-Ferrero; Leonardo Tadeu Lopes; Daniel Carlos Guimarães Pedronette (Inf. Sci., 2021)

Efficient Rank-Based Diffusion Process with Assured Convergence. - Daniel Carlos Guimarães Pedronette; Lucas Pascotti Valem; Longin Jan Latecki (J. Imaging, 2021)

A BFS-Tree of ranking references for unsupervised manifold learning. - Daniel Carlos Guimarães Pedronette; Lucas Pascotti Valem; Ricardo da Silva Torres (Pattern Recognit., 2021)

Graph Convolutional Networks and Manifold Ranking for Multimodal Video Retrieval. - Lucas Barbosa de Almeida; Lucas Pascotti Valem; Daniel Carlos Guimarães Pedronette (ICIP, 2022)

Mixup-Based Deep Metric Learning Approaches for Incomplete Supervision. - Luiz H. Buris; Daniel C. G. Pedronette; João P. Papa; Jurandy Almeida; Gustavo Carneiro 001; Fábio Augusto Faria (ICIP, 2022)

A Novel Rank Correlation Measure for Manifold Learning on Image Retrieval and Person Re-ID. - Lucas Pascotti Valem; Vinicius Atsushi Sato Kawai; Vanessa Helena Pereira-Ferrero; Daniel Carlos Guimarães Pedronette (ICIP, 2022)

PetroBERT: A Domain Adaptation Language Model for Oil and Gas Applications in Portuguese. - 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 (PROPOR, 2022)

Which Generative Adversarial Network Yields High-Quality Synthetic Medical Images: Investigation Using AMD Image Datasets. - Guilherme C. Oliveira; Gustavo H. Rosa; Daniel C. G. Pedronette; João P. Papa; Himeesh Kumar; Leandro A. Passos; Dinesh Kant Kumar (CoRR, 2022)

RaDE+: A semantic rank-based graph embedding algorithm. - Filipe Alves de Fernando; Daniel Carlos Guimarães Pedronette; Gustavo José de Sousa; Lucas Pascotti Valem; Ivan Rizzo Guilherme (Int. J. Inf. Manag. Data Insights, 2022)

Person Re-ID through unsupervised hypergraph rank selection and fusion. - Lucas Pascotti Valem; Daniel Carlos Guimarães Pedronette (Image Vis. Comput., 2022)

Weakly supervised learning based on hypergraph manifold ranking. - João Gabriel Camacho Presotto; Samuel Felipe dos Santos; Lucas Pascotti Valem; Fábio Augusto Faria; João Paulo Papa; Jurandy Almeida; Daniel Carlos Guimarães Pedronette (J. Vis. Commun. Image Represent., 2022)

Self-Supervised Regression for Query Performance Prediction on Image Retrieval. - Lucas Pascotti Valem; Vanessa Helena Pereira-Ferrero; Daniel Carlos Guimarães Pedronette (AIKE, 2023)

Manifold Learning for Brain Tumor MRI Image Retrieval and Classification. - André Lara Temple De Antonio; Daniel Carlos Guimarães Pedronette (BIBE, 2023)

Semi-supervised Time Series Classification Through Image Representations. - Bionda Rozin; Emílio Bergamim; Daniel Carlos Guimarães Pedronette; Fabricio Aparecido Breve (ICCSA (2), 2023)

A Meta-Feature Model for Exploiting Different Regressors to Estimate Sugarcane Crop Yield. - Luiz Antonio Falaguasta Barbosa; Daniel Carlos Guimarães Pedronette; Ivan Rizzo Guilherme (IGARSS, 2023)

pyUDLF: A Python Framework for Unsupervised Distance Learning Tasks. - Gustavo Leticio; Lucas Pascotti Valem; Leonardo Tadeu Lopes; Daniel Carlos Guimarães Pedronette (ACM Multimedia, 2023)

Self-Supervised Clustering based on Manifold Learning and Graph Convolutional Networks. - Leonardo Tadeu Lopes; Daniel Carlos Guimarães Pedronette (WACV, 2023)

Feature augmentation based on manifold ranking and LSTM for image classification. - Vanessa Helena Pereira-Ferrero; Lucas Pascotti Valem; Daniel Carlos Guimarães Pedronette (Expert Syst. Appl., 2023)

Rank Flow Embedding for Unsupervised and Semi-Supervised Manifold Learning. - Lucas Pascotti Valem; Daniel Carlos Guimarães Pedronette; Longin Jan Latecki (IEEE Trans. Image Process., 2023)

Graph Convolutional Networks based on manifold learning for semi-supervised image classification. - Lucas Pascotti Valem; Daniel Carlos Guimarães Pedronette; Longin Jan Latecki (Comput. Vis. Image Underst., 2023)

Regression by Re-Ranking. - Filipe Marcel Fernandes Gonçalves; Daniel Carlos Guimarães Pedronette; Ricardo da Silva Torres (Pattern Recognit., 2023)

Unsupervised Effectiveness Estimation Measure Based on Rank Correlation for Image Retrieval. - Thiago César Castilho Almeida; Lucas Pascotti Valem; Daniel Carlos Guimarães Pedronette (ISVC (2), 2024)

Contrastive Loss Based on Contextual Similarity for Image Classification. - Lucas Pascotti Valem; Daniel Carlos Guimarães Pedronette; Mohand Saïd Allili (ISVC (1), 2024)

Feature Fusion for Graph Convolutional Networks in Semi-Supervised Image Classification. - Marina Chagas Bulach Gapski; Lucas Pascotti Valem; Daniel Carlos Guimarães Pedronette (SIBGRAPI, 2024)

Neighbor Embedding Projection and Rank-Based Manifold Learning for Image Retrieval. - Vinicius Atsushi Sato Kawai; Gustavo Rosseto Leticio; Lucas Pascotti Valem; Daniel Carlos Guimarães Pedronette (SIBGRAPI, 2024)

Self-Supervised Image Re-Ranking based on Hypergraphs and Graph Convolutional Networks. - Leonardo Tadeu Lopes; Lucas Pascotti Valem; Daniel Carlos Guimarães Pedronette (SIBGRAPI, 2024)

Unsupervised Dual-Layer Aggregation for Feature Fusion on Image Retrieval Tasks. - Ademir Moreno; Daniel Carlos Guimarães Pedronette (SIBGRAPI, 2024)

Robust deep learning for eye fundus images: Bridging real and synthetic data for enhancing generalization. - Guilherme C. Oliveira; Gustavo H. Rosa; Daniel C. G. Pedronette; João P. Papa; Himeesh Kumar; Leandro A. Passos; Dinesh Kant Kumar (Biomed. Signal Process. Control., 2024)

Unsupervised affinity learning based on manifold analysis for image retrieval: A survey. - Vanessa Helena Pereira-Ferrero; Ted G. Lewis; Lucas Pascotti Valem; L. G. P. Ferrero; Daniel C. G. Pedronette; Longin Jan Latecki (Comput. Sci. Rev., 2024)

Weakly supervised classification through manifold learning and rank-based contextual measures. - João Gabriel Camacho Presotto; Lucas Pascotti Valem; Nikolas Gomes de Sá; Daniel Carlos Guimarães Pedronette; João Paulo Papa (Neurocomputing, 2024)

Manifold information through neighbor embedding projection for image retrieval. - Gustavo Rosseto Leticio; Vinicius Atsushi Sato Kawai; Lucas Pascotti Valem; Daniel Carlos Guimarães Pedronette; Ricardo da Silva Torres (Pattern Recognit. Lett., 2024)

Rank-based Hashing for Effective and Efficient Nearest Neighbor Search for Image Retrieval. - Vinicius Atsushi Sato Kawai; Lucas Pascotti Valem; Alexandro Baldassin; Edson Borin; Daniel Carlos Guimarães Pedronette; Longin Jan Latecki (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Feature Fusion and Augmentation Based on Manifold Ranking for Image Classification. - Vanessa Helena Pereira-Ferrero; Lucas Pascotti Valem; Gustavo Rosseto Leticio; Daniel Carlos Guimarães Pedronette (Int. J. Semantic Comput., 2024)

Using Graph Convolutional Networks to Rank Rules in Associative Classifiers. - Maicon Dall'Agnol; Veronica Oliveira de Carvalho; Daniel Carlos Guimarães Pedronette (ICEIS (1), 2025)

Inductive Self-Supervised Dimensionality Reduction for Image Retrieval. - Deryk Willyan Biotto; Guilherme Henrique Jardim; Vinicius Atsushi Sato Kawai; Bionda Rozin; Denis Henrique Pinheiro Salvadeo; Daniel Carlos Guimarães Pedronette (VISIGRAPP (2): VISAPP, 2025)

Neighbor Embedding Projection and Graph Convolutional Networks for Image Classification. - Gustavo Rosseto Leticio; Vinicius Atsushi Sato Kawai; Lucas Pascotti Valem; Daniel Carlos Guimarães Pedronette (VISIGRAPP (2): VISAPP, 2025)

Graph Convolutional Networks and Particle Competition and Cooperation for Semi-Supervised Learning. - Gustavo Rosseto Leticio; Matheus Henrique Jacob dos Santos; Lucas Pascotti Valem; Vinicius Atsushi Sato Kawai; Fabricio Aparecido Breve; Daniel Carlos Guimarães Pedronette (VISIGRAPP (2): VISAPP, 2025)

Transduction to induction: Unsupervised representation learning based on rank information. - Deryk Willyan Biotto; Lucas Pascotti Valem; Daniel Carlos Guimarães Pedronette; Denis Henrique Pinheiro Salvadeo (Neurocomputing, 2025)

Fusion Regression. - Filipe Marcel Fernandes Gonçalves; Daniel Carlos Guimarães Pedronette; Ricardo da Silva Torres (Pattern Recognit. Lett., 2025)