8 citations · 14 across the 4 of their papers we have counts for
4 papers
Beyond the Known: Enhancing Open Set Domain Adaptation with Unknown Exploration
Lucas Fernando Alvarenga e Silva, Samuel Felipe dos Santos, Nicu Sebe +1
Convolutional neural networks (CNNs) can learn directly from raw data, resulting in exceptional performance across various research areas. However, factors present in non-controlla…
Tightening Classification Boundaries in Open Set Domain Adaptation through Unknown Exploitation
Lucas Fernando Alvarenga e Silva, Nicu Sebe, Jurandy Almeida
Convolutional Neural Networks (CNNs) have brought revolutionary advances to many research areas due to their capacity of learning from raw data. However, when those methods are app…
Improving Transferability of Domain Adaptation Networks Through Domain Alignment Layers
Lucas Fernando Alvarenga e Silva, Daniel Carlos Guimarães Pedronette, Fábio Augusto Faria +2
Deep learning (DL) has been the primary approach used in various computer vision tasks due to its relevant results achieved on many tasks. However, on real-world scenarios with par…
Deep Learning in Beyond 5G Networks with Image-based Time-Series Representation
Lucas Fernando Alvarenga e Silva, Bruno Yuji Lino Kimura, Jurandy Almeida
Towards the network innovation, the Beyond Five-Generation (B5G) networks envision the use of machine learning (ML) methods to predict the network conditions and performance indica…