Jonatas Wehrmann

According to our database, Jonatas Wehrmann authored at least 28 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Anchor Your Embeddings Through the Storm: Mitigating Instance-to-Document Semantic Gap.

Ramiro N. Barros, Kristen K. Arguello, Jonatas Wehrmann

Proceedings of the International Joint Conference on Neural Networks, 2024

2022

COBE: A Natural Language Code Search Robustness Benchmark.

Jonatas Wehrmann, Otávio Parraga, Rodrigo C. Barros

Proceedings of the International Joint Conference on Neural Networks, 2022

Looks Like Magic: Transfer Learning in GANs to Generate New Card Illustrations.

Matheus K. Venturelli, Pedro H. Gomes, Jonatas Wehrmann

Proceedings of the International Joint Conference on Neural Networks, 2022

Teaching StyleGAN to Read: Improving Text-to-image Synthesis with U2C Transfer Learning.

Vinicius G. Pereira, Jonatas Wehrmann

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2020

Efficient Neural Architecture for Text-to-Image Synthesis.

Douglas M. Souza, Jonatas Wehrmann, Duncan D. Ruiz

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Component Analysis for Visual Question Answering Architectures.

Camila Kolling, Jonatas Wehrmann, Rodrigo C. Barros

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Adaptive Cross-Modal Embeddings for Image-Text Alignment.

Jonatas Wehrmann, Camila Kolling, Rodrigo C. Barros

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

GADIS: A Genetic Algorithm for Database Index Selection (S).

Priscilla Neuhaus, Julia Couto, Jonatas Wehrmann, Duncan Dubugras Alcoba Ruiz, Felipe Meneguzzi

Proceedings of the 31st International Conference on Software Engineering and Knowledge Engineering, 2019

Fast and Efficient Text Classification with Class-based Embeddings.

Jonatas Wehrmann, Camila Kolling, Rodrigo C. Barros

Proceedings of the International Joint Conference on Neural Networks, 2019

Attention-based Adversarial Training for Seamless Nudity Censorship.

Gabriel S. Simões, Jonatas Wehrmann, Rodrigo C. Barros

Proceedings of the International Joint Conference on Neural Networks, 2019

Language-Agnostic Visual-Semantic Embeddings.

Jonatas Wehrmann, Maurício Armani Lopes, Douglas M. Souza, Rodrigo C. Barros

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Order embeddings and character-level convolutions for multimodal alignment.

Jonatas Wehrmann, Anderson Mattjie, Rodrigo C. Barros

Pattern Recognit. Lett., 2018

Adult content detection in videos with convolutional and recurrent neural networks.

Jonatas Wehrmann, Gabriel S. Simoes, Rodrigo C. Barros, Victor F. Cavalcante

Neurocomputing, 2018

Fast Self-Attentive Multimodal Retrieval.

Jonatas Wehrmann, Mauricio A. Lopes, Martin D. Móre, Rodrigo C. Barros

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

A multi-task neural network for multilingual sentiment classification and language detection on Twitter.

Jonatas Wehrmann, Willian E. Becker, Rodrigo C. Barros

Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

Seamless Nudity Censorship: an Image-to-Image Translation Approach based on Adversarial Training.

Martin D. Móre, Douglas M. Souza, Jonatas Wehrmann, Rodrigo C. Barros

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Real-Time Detection of Pedestrian Traffic Lights for Visually-Impaired People.

Marcelo Cabral Ghilardi, Gabriel S. Simoes, Jonatas Wehrmann, Isabel Harb Manssour, Rodrigo C. Barros

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Hierarchical Multi-Label Classification Networks.

Jonatas Wehrmann, Ricardo Cerri, Rodrigo C. Barros

Proceedings of the 35th International Conference on Machine Learning, 2018

Self-Attention for Synopsis-Based Multi-Label Movie Genre Classification.

Jonatas Wehrmann, Mauricio A. Lopes, Rodrigo C. Barros

Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018

Bidirectional Retrieval Made Simple.

Jonatas Wehrmann, Rodrigo C. Barros

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Movie genre classification: A multi-label approach based on convolutions through time.

Jonatas Wehrmann, Rodrigo C. Barros

Appl. Soft Comput., 2017

Hierarchical multi-label classification with chained neural networks.

Jonatas Wehrmann, Rodrigo C. Barros, Silvia N. das Dôres, Ricardo Cerri

Proceedings of the Symposium on Applied Computing, 2017

Convolutions through time for multi-label movie genre classification.

Jonatas Wehrmann, Rodrigo C. Barros

Proceedings of the Symposium on Applied Computing, 2017

A character-based convolutional neural network for language-agnostic Twitter sentiment analysis.

Jonatas Wehrmann, Willian Becker, Henry E. L. Cagnini, Rodrigo C. Barros

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Leveraging deep visual features for content-based movie recommender systems.

Ralph Jose Rassweiler Filho, Jonatas Wehrmann, Rodrigo C. Barros

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

An Efficient Deep Neural Architecture for Multilingual Sentiment Analysis in Twitter.

Willian Becker, Jonatas Wehrmann, Henry E. L. Cagnini, Rodrigo C. Barros

Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

2016

Movie genre classification with Convolutional Neural Networks.

Gabriel S. Simoes, Jonatas Wehrmann, Rodrigo C. Barros, Duncan D. Ruiz

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

(Deep) Learning from Frames.

Jonatas Wehrmann, Rodrigo C. Barros, Gabriel S. Simoes, Thomas S. Paula, Duncan Dubugras Alcoba Ruiz

Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016