Juarez Monteiro

According to our database, Juarez Monteiro authored at least 18 papers between 2017 and 2023.

Collaborative distances:

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

2023

Self-Supervised Adversarial Imitation Learning.

Juarez Monteiro, Nathan Gavenski, Felipe Meneguzzi, Rodrigo C. Barros

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

How Resilient Are Imitation Learning Methods to Sub-optimal Experts?

Nathan Gavenski, Juarez Monteiro, Adilson Medronha, Rodrigo C. Barros

Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2020

HAPRec: Hybrid Activity and Plan Recognizer.

Roger Granada, Ramon Fraga Pereira, Juarez Monteiro, Leonardo Amado, Rodrigo C. Barros, Duncan Dubugras A. Ruiz, Felipe Meneguzzi

CoRR, 2020

Object-Based Goal Recognition Using Real-World Data.

Roger Granada, Juarez Monteiro, Nathan Gavenski, Felipe Meneguzzi

Proceedings of the Advances in Soft Computing, 2020

Augmented Behavioral Cloning from Observation.

Juarez Monteiro, Nathan Gavenski, Roger Granada, Felipe Meneguzzi, Rodrigo C. Barros

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

Imitating Unknown Policies via Exploration.

Nathan Gavenski, Juarez Monteiro, Roger Granada, Felipe Meneguzzi, Rodrigo C. Barros

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

Classifying Norm Conflicts using Learned Semantic Representations.

João Paulo Aires, Roger Granada, Juarez Monteiro, Rodrigo C. Barros, Felipe Meneguzzi

CoRR, 2019

Classification of Contractual Conflicts via Learning of Semantic Representations.

João Paulo Aires, Roger Granada, Juarez Monteiro, Rodrigo Coelho Barros, Felipe Meneguzzi

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

Fusing Scene Context to Improve Object Recognition.

Leandro Pereira da Silva, Roger Granada, Juarez Monteiro, Duncan D. Ruiz

J. Inf. Data Manag., 2018

Improving Action Recognition using Temporal Regions.

Roger Leitzke Granada, João Paulo Aires, Juarez Monteiro, Felipe Rech Meneguzzi, Rodrigo Coelho Barros

J. Inf. Data Manag., 2018

Evaluating the Feasibility of Deep Learning for Action Recognition in Small Datasets.

Juarez Monteiro, Roger Granada, João Paulo Aires, Rodrigo C. Barros

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

Norm Conflict Identification using Vector Space Offsets.

João Paulo Aires, Juarez Monteiro, Roger Granada, Felipe Meneguzzi

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

Using Scene Context to Improve Action Recognition.

Juarez Monteiro, Roger Granada, Felipe Meneguzzi, Rodrigo Coelho Barros

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

2017

Deep neural networks for kitchen activity recognition.

Juarez Monteiro, Roger Granada, Rodrigo C. Barros, Felipe Meneguzzi

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

Virtual guide dog: An application to support visually-impaired people through deep convolutional neural networks.

Juarez Monteiro, João Paulo Aires, Roger Granada, Rodrigo C. Barros, Felipe Meneguzzi

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

A Deep Neural Architecture for Kitchen Activity Recognition.

Roger Leitzke Granada, Juarez Monteiro, Rodrigo Coelho Barros, Felipe Rech Meneguzzi

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

Deep Neural Networks for Handwritten Chinese Character Recognition.

Renan Guedes Maidana, Juarez Monteiro dos Santos, Roger Leitzke Granada, Alexandre de Morais Amory, Rodrigo Coelho Barros

Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

Hybrid Activity and Plan Recognition for Video Streams.

Roger Leitzke Granada, Ramon Fraga Pereira, Juarez Monteiro, Rodrigo Coelho Barros, Duncan D. Ruiz, Felipe Meneguzzi

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017