Publications: Conference Papers

A Denoising Convolutional Neural Network for Self-Supervised Rank Effectiveness Estimation on Image Retrieval

Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette
ICMR: Proceedings of the 2021 International Conference on Multimedia Retrieval
ACM, August 2021, 294–302
DOI: https://doi.org/10.1145/3460426.3463645
Related research projects:

2018/15597-6 - Application and investigation of unsupervised learning methods in retrieval and classification tasks

2017/25908-6 - Weakly supervised learning for compressed video analysis on retrieval and classification tasks for visual alert

2020/11366-0 - Support for computational environments and experiments execution: weakly-supervised and classification fusion methods

​

SMS Spam Detection Through Skip-gram Embeddings and Shallow Networks
Gustavo Jose de Sousa, Daniel Carlos Guimaraes Pedronette, Joao Paulo Papa, Ivan Rizzo Guilherme
Findings of the Association for Computational Linguistics: ACL-IJCNLP
ACL, August 2021, 4193–4201
DOI: https://doi.org/10.18653/v1/2021.findings-acl.367
Related research projects: 

2018/15597-6 - Application and investigation of unsupervised learning methods in retrieval and classification tasks

2014/12236-1 - AnImaLS: Annotation of Images in Large Scale: what can machines and specialists learn from interaction?

​2019/07665-4: Center for Artificial Intelligence

​

Improving Transferability of Domain Adaptation Networks Through Domain Alignment Layers
Lucas F. A. Silva, Daniel C. G. Pedronette, Fabio A. Faria, Joao P. Papa, Jurandy Almeida
SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)
IEEE, 2021,  Pages 168-175
DOI: https://doi.org/10.1109/SIBGRAPI54419.2021.00031
Source code: https://github.com/LucasFernando-aes/MS-DIAL
Related research projects:

2018/15597-6 - Application and investigation of unsupervised learning methods in retrieval and classification tasks

2014/12236-1 - AnImaLS: Annotation of Images in Large Scale: what can machines and specialists learn from interaction?

2013/07375-0: CeMEAI - Center for Mathematical Sciences Applied to Industry​

2019/07665-4: Center for Artificial Intelligence

2017/25908-6 - Weakly supervised learning for compressed video analysis on retrieval and classification tasks for visual alert

2020/08770-3: Open set methods based on deep networks for multimedia recognition

 

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 Conference on Graphics, Patterns and Images (SIBGRAPI)
IEEE, 2021, 378-385
DOI: https://doi.org/10.1109/SIBGRAPI54419.2021.00058
Related research projects:

2018/15597-6 - Application and investigation of unsupervised learning methods in retrieval and classification tasks

​

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 Conference on Graphics, Patterns and Images (SIBGRAPI)
IEEE, 2021, 417-424
DOI: https://doi.org/10.1109/SIBGRAPI54419.2021.00063
Related research projects:

2018/15597-6 - Application and investigation of unsupervised learning methods in retrieval and classification tasks

2017/25908-6 - Weakly supervised learning for compressed video analysis on retrieval and classification tasks for visual alert

2020/02183-9 - Rank-based unsupervised learning through deep learning in diverse domains

​

​

Manifold Learning-based Clustering Approach Applied to Anomaly Detection in Surveillance Videos
Leonardo Tadeu Lopes, Lucas Pascotti Valem, Daniel Carlos Guimaraes Pedronette, Ivan Rizzo Guilherme,
Joao Paulo Papa, Marcos Cleison Silva Santana,  Danilo Colombo
Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP 2020)
ScitePress, 2020, 404-412
DOI: https://doi.org/10.5220/0008974604040412
Related research projects:

2018/15597-6 - Application and investigation of unsupervised learning methods in retrieval and classification tasks

2014/12236-1 - AnImaLS: Annotation of Images in Large Scale: what can machines and specialists learn from interaction?

2013/07375-0: CeMEAI - Center for Mathematical Sciences Applied to Industry​

2019/07665-4: Center for Artificial Intelligence

2017/25908-6 - Weakly supervised learning for compressed video analysis on retrieval and classification tasks for visual alert

​

​

RaDE: A Rank-Based Graph Embedding Approach
Filipe Alves de Fernando, Daniel Carlos Guimaraes Pedronette, Gustavo Jose de Sousa, Lucas Pascotti Valem,

Ivan Rizzo Guilherme
Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP 2020)
ScitePress, 2020, 142-152
DOI: http://doi.org/10.5220/0008985901420152
Related research projects:

2018/15597-6 - Application and investigation of unsupervised learning methods in retrieval and classification tasks

2017/25908-6 - Weakly supervised learning for compressed video analysis on retrieval and classification tasks for visual alert

2017/02091-4 - Selection and combination of unsupervised learning Methods for content-based image retrieval

​

Weakly Supervised Learning through Rank-based Contextual Measures
João Gabriel Camacho Presotto, Lucas Pascotti Valeml, Nikolas Gomes de Sá, Daniel Carlos Guimarães Pedronette,
Joao Paulo Papa
International Conference on Pattern Recognition (ICPR)
IEEE, 2020, 1051-4651
DOI: https://doi.org/10.1109/ICPR48806.2021.9412596
Related research projects:

2018/15597-6 - Application and investigation of unsupervised learning methods in retrieval and classification tasks

2019/04754-6: Weakly supervised learning strategies through Rank-based measures

2020/11366-0 - Support for computational environments and experiments execution: weakly-supervised and classification fusion methods

2019/11104-8: A comparative analysis of rank correlation measures for weakly-supervised learning

2017/25908-6 - Weakly supervised learning for compressed video analysis on retrieval and classification tasks for visual alert

2014/12236-1 - AnImaLS: Annotation of Images in Large Scale: what can machines and specialists learn from interaction?

​

An Unsupervised Genetic Algorithm Framework for Rank Selection and Fusion on Image Retrieval
Lucas Pascotti Valem, Daniel Carlos Guimaraes Pedronette
International Conference on Multimedia Retrieval (ICMR)
ACM, 2019, 58-62
DOI: http://doi.org/10.1145/3323873.3325022
Related research projects:

2018/15597-6 - Application and investigation of unsupervised learning methods in retrieval and classification tasks

2017/25908-6 - Weakly supervised learning for compressed video analysis on retrieval and classification tasks for visual alert

2017/02091-4 - Selection and combination of unsupervised learning Methods for content-based image retrieval

​

​

Unsupervised Effectiveness Estimation Through Intersection of Ranking References
João Gabriel Camacho Presotto, Lucas Pascotti Valem, Daniel Carlos Guimaraes Pedronette
International Conference Computer Analysis of Images and Patterns (CAIP)
ACM, 2019, 231–244
DOI: https://doi.org/10.1007/978-3-030-29891-3_21
Related research projects:

2018/15597-6 - Application and investigation of unsupervised learning methods in retrieval and classification tasks

​