SMS Spam Detection Through Skip-gram Embeddings and Shallow Networks

no code implementations • Findings (ACL) 2021 • Gustavo Sousa, Daniel Carlos Guimarães Pedronette, João Paulo Papa, Ivan Rizzo Guilherme

Spam detection

Improving Transferability of Domain Adaptation Networks Through Domain Alignment Layers

1 code implementation • 6 Sep 2021 • Lucas Fernando Alvarenga e Silva, Daniel Carlos Guimarães Pedronette, Fábio Augusto Faria, João Paulo Papa, Jurandy Almeida

Deep learning (DL) has been the primary approach used in various computer vision tasks due to its relevant results achieved on many tasks.

Multi-Source Unsupervised Domain Adaptation Unsupervised Domain Adaptation

Multimedia Retrieval Through Unsupervised Hypergraph-Based Manifold Ranking

1 code implementation • 1 Dec 2019 • Daniel Carlos Guimarães Pedronette, Lucas Pascotti Valem, Jurandy Almeida, and Ricardo da S. Torres

In this paper, a novel manifold ranking algorithm is proposed based on the hypergraphs for unsupervised multimedia retrieval tasks.

Content-Based Image Retrieval Retrieval +1

Unsupervised Graph-based Rank Aggregation for Improved Retrieval

no code implementations • 17 Jan 2019 • Icaro Cavalcante Dourado, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres

This paper presents a robust and comprehensive graph-based rank aggregation approach, used to combine results of isolated ranker models in retrieval tasks.

Retrieval