Daniel Carlos Guimares Pedronette
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
30
Venues
16
Active years
2010–2025
Best venue rank
A*
Where they publish
Papers
30 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CIARP | Comparative Study of Image Descriptors and Dimensionality Reduction Methods for the Prediction of Sugarcane Crop Yield. | Luiz Antonio Falaguasta Barbosa, Ivan Rizzo Guilherme, Daniel Carlos Guimares Pedronette, Bruno Tisseyre |
| 2025 | IJCNN | Effective Graph and Rank-based Contextual Embeddings for Textual and Multimedia Data. | Thiago Csar Castilho Almeida, Gustavo Rosseto Leticio, Lucas Pascotti Valem, Andr Freitas, Daniel Carlos Guimares Pedronette |
| 2025 | VISIGRAPP | 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 Guimares Pedronette |
| 2025 | VISIGRAPP | Neighbor Embedding Projection and Graph Convolutional Networks for Image Classification. | Gustavo Rosseto Leticio, Vinicius Atsushi Sato Kawai, Lucas Pascotti Valem, Daniel Carlos Guimares Pedronette |
| 2025 | VISIGRAPP | 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 Guimares Pedronette |
| 2024 | ISVC | Unsupervised Effectiveness Estimation Measure Based on Rank Correlation for Image Retrieval. | Thiago Csar Castilho Almeida, Lucas Pascotti Valem, Daniel Carlos Guimares Pedronette |
| 2024 | ISVC | Contrastive Loss Based on Contextual Similarity for Image Classification. | Lucas Pascotti Valem, Daniel Carlos Guimares Pedronette, Mohand Sad Allili |
| 2023 | BIBE | Manifold Learning for Brain Tumor MRI Image Retrieval and Classification. | Andr Lara Temple De Antonio, Daniel Carlos Guimares Pedronette |
| 2023 | ICCSA | Semi-supervised Time Series Classification Through Image Representations. | Bionda Rozin, Emlio Bergamim, Daniel Carlos Guimares Pedronette, Fabricio Aparecido Breve |
| 2023 | IGARSS | A Meta-Feature Model for Exploiting Different Regressors to Estimate Sugarcane Crop Yield. | Luiz Antonio Falaguasta Barbosa, Daniel Carlos Guimares Pedronette, Ivan Rizzo Guilherme |
| 2023 | WACV | Self-Supervised Clustering based on Manifold Learning and Graph Convolutional Networks. | Leonardo Tadeu Lopes, Daniel Carlos Guimares Pedronette |
| 2022 | ICIP | Graph Convolutional Networks and Manifold Ranking for Multimodal Video Retrieval. | Lucas Barbosa de Almeida, Lucas Pascotti Valem, Daniel Carlos Guimares Pedronette |
| 2022 | ICIP | 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 Guimares Pedronette |
| 2021 | ACL | SMS Spam Detection Through Skip-gram Embeddings and Shallow Networks. | Gustavo Jos de Sousa, Daniel Carlos Guimares Pedronette, Joo Paulo Papa, Ivan Rizzo Guilherme |
| 2020 | ICPR | Weakly Supervised Learning through Rank-based Contextual Measures. | Joo Gabriel Camacho Presotto, Lucas Pascotti Valem, Nikolas Gomes de S, Daniel Carlos Guimares Pedronette, Joo Paulo Papa |
| 2019 | CAIP | Unsupervised Effectiveness Estimation Through Intersection of Ranking References. | Joo Gabriel Camacho Presotto, Lucas Pascotti Valem, Daniel Carlos Guimares Pedronette |
| 2018 | ICPR | Improving Optimum- Path Forest Classification Using Unsupervised Manifold Learning. | Luis Claudio Sugi Afonso, Daniel Carlos Guimares Pedronette, Andr N. de Souza, Joo Paulo Papa |
| 2018 | IJCNN | Pattern Analysis in Drilling Reports using Optimum-Path Forest. | Gustavo Jos de Sousa, Daniel Carlos Guimares Pedronette, Alexandro Baldassin, Pedro Ivo Monteiro Privatto, M. Gaseta, Ivan Rizzo Guilherme, Danilo Colombo, Luis Claudio Sugi Afonso, Joo P. Papa |
| 2018 | IJCNN | Manifold Correlation Graph for Semi-Supervised Learning. | Lucas Pascotti Valem, Daniel Carlos Guimares Pedronette, Fabricio Aparecido Breve, Ivan Rizzo Guilherme |
| 2017 | CBMI | Selection and Combination of Unsupervised Learning Methods for Image Retrieval. | Lucas Pascotti Valem, Daniel Carlos Guimares Pedronette |
| 2017 | ICIAP | A Rank Aggregation Framework for Video Interestingness Prediction. | Jurandy Almeida, Lucas Pascotti Valem, Daniel Carlos Guimares Pedronette |
| 2016 | BIBE | Diagnostic Support for Alzheimers Disease through Feature-Based Brain MRI Retrieval and Unsupervised Distance Learning. | Bruno T. Padovese, Denis H. P. Salvadeo, Daniel Carlos Guimares Pedronette |
| 2014 | CIARP | Unsupervised Manifold Learning for Video Genre Retrieval. | Jurandy Almeida, Daniel Carlos Guimares Pedronette, Otvio Augusto Bizetto Penatti |
| 2014 | ICIP | Unsupervised manifold learning by correlation graph and strongly connected components for image retrieval. | Daniel Carlos Guimares Pedronette, Ricardo da Silva Torres |
| 2013 | SBAC-PAD | Image Re-ranking Acceleration on GPUs. | Daniel Carlos Guimares Pedronette, Ricardo da Silva Torres, Edson Borin, Maurcio Breternitz Jr. |
| 2012 | CIARP | Combining Re-Ranking and Rank Aggregation Methods. | Daniel Carlos Guimares Pedronette, Ricardo da Silva Torres |
| 2012 | ISPA | Efficient Image Re-Ranking Computation on GPUs. | Daniel Carlos Guimares Pedronette, Ricardo da Silva Torres, Edson Borin, Maurcio Breternitz Jr. |
| 2011 | CAIP | Image Re-ranking and Rank Aggregation Based on Similarity of Ranked Lists. | Daniel Carlos Guimares Pedronette, Ricardo da Silva Torres |
| 2011 | ICIP | Exploiting contextual information for rank aggregation. | Daniel Carlos Guimares Pedronette, Ricardo da Silva Torres |
| 2010 | CIARP | Exploiting Contextual Information for Image Re-ranking. | Daniel Carlos Guimares Pedronette, Ricardo da Silva Torres |