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- Paulo Martins Engel
Federal University of Rio Grande do Sul, Porto Alegre, Brazil - Paulo M. Engel
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Publication search results
found 68 matches
- 2024
- Pedro Paulo F. Barcelos, Tiago Prince Sales, Elena Romanenko, João Paulo A. Almeida, Gal Engelberg, Dan Klein, Giancarlo Guizzardi:
Inferring Ontological Categories of OWL Classes Using Foundational Rules (Extended Abstract). IJCAI 2024: 8373-8377 - 2023
- Pedro Paulo F. Barcelos, Tiago Prince Sales, Elena Romanenko, João Paulo A. Almeida, Gal Engelberg, Dan Klein, Giancarlo Guizzardi:
Inferring Ontological Categories of OWL Classes Using Foundational Rules. FOIS 2023: 109-124 - Italo Jose da Silva Oliveira, Gal Engelberg, Pedro Paulo F. Barcelos, Tiago Prince Sales, Mattia Fumagalli, Riccardo Baratella, Dan Klein, Giancarlo Guizzardi:
Boosting D3FEND: Ontological Analysis and Recommendations. FOIS 2023: 334-348 - 2022
- Marcelo B. A. Veras, Bishnu Sarker, Sabeur Aridhi, João P. P. Gomes, José A. F. de Macêdo, Engelbert Mephu Nguifo, Marie-Dominique Devignes, Malika Smaïl-Tabbone:
On the design of a similarity function for sparse binary data with application on protein function annotation. Knowl. Based Syst. 238: 107863 (2022) - 2018
- Ferry Susanto, Thomas Gillard, Paulo A. de Souza, Benita Vincent, Setia Budi, Auro Almeida, Gustavo Pessin, Helder M. Arruda, Raymond N. Williams, Ulrich Engelke, Peter Marendy, Pascal Hirsch, Jing He:
Addressing RFID Misreadings to Better Infer Bee Hive Activity. IEEE Access 6: 31935-31949 (2018) - Paulo Fernando Aragao Alves Junior, Markus Engel, Reinhard Gotzhein:
A Three-Dimensional Stabilization Protocol for Time-Slotted Multi-hop Cognitive Radio Networks with Channel Hopping. AINA 2018: 32-39 - Jácome Cunha, João Paulo Fernandes, Caitlin Kelleher, Gregor Engels, Jorge Mendes:
2018 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2018, Lisbon, Portugal, October 1-4, 2018. IEEE Computer Society 2018, ISBN 978-1-5386-4235-1 [contents] - 2017
- Thi Thuong Huyen Nguyen, Sarah Ketchell, Ulrich Engelke, Bruce H. Thomas, Paulo A. de Souza:
Augmented Reality Based Bee Drift Analysis: A User Study. BDVA 2017: 47-54 - Huyen Nguyen, Sarah Ketchell, Ulrich Engelke, Bruce H. Thomas, Paulo A. de Souza:
HoloBee: Augmented Reality Based Bee Drift Analysis. ISMAR Adjunct 2017: 87-92 - Rafael Pinto, Paulo Engel:
Scalable and Incremental Learning of Gaussian Mixture Models. CoRR abs/1701.03940 (2017) - 2016
- Ferry Susanto, Setia Budi, Paulo A. de Souza Junior, Ulrich Engelke, Jing He:
Design of Environmental Sensor Networks Using Evolutionary Algorithms. IEEE Geosci. Remote. Sens. Lett. 13(4): 575-579 (2016) - Ulrich Engelke, Holly Hutson, Thi Thuong Huyen Nguyen, Paulo A. de Souza:
MelissAR: Towards Augmented Visual Analytics of Honey Bee Behaviour. CHI Extended Abstracts 2016: 2057-2063 - Ulrich Engelke, Peter Marendy, Ferry Susanto, Raymond N. Williams, Selim Mahbub, Huyen Nguyen, Paulo A. de Souza:
A Visual Analytics Framework to Study Honey Bee Behaviour. HPCC/SmartCity/DSS 2016: 1504-1511 - 2015
- Ulrich Engelke, Ferry Susanto, Paulo A. de Souza Junior, Peter Marendy:
Visual Assessment of Spatial Data Interpolation. BDVA 2015: 104-110 - Renato de Pontes Pereira, Paulo Martins Engel:
A Framework for Constrained and Adaptive Behavior-Based Agents. CoRR abs/1506.02312 (2015) - Rafael C. Pinto, Paulo Martins Engel:
A Fast Incremental Gaussian Mixture Model. CoRR abs/1506.04422 (2015) - 2014
- Thiago Fredes Rodrigues, Paulo Martins Engel:
Probabilistic Clustering and Classification for Textual Data: An Online and Incremental Approach. BRACIS 2014: 288-293 - 2013
- Edigleison Francelino Carvalho, Paulo Martins Engel:
Convolutional Sparse Feature Descriptor for Object Recognition in CIFAR-10. BRACIS 2013: 131-135 - 2012
- Joao Henrique F. Flores, Paulo Martins Engel, Rafael C. Pinto:
Autocorrelation and partial autocorrelation functions to improve neural networks models on univariate time series forecasting. IJCNN 2012: 1-8 - Milton Roberto Heinen, Paulo Martins Engel, Rafael C. Pinto:
Using a Gaussian mixture neural network for incremental learning and robotics. IJCNN 2012: 1-8 - Rafael C. Pinto, Paulo Martins Engel, Milton Roberto Heinen:
One-shot learning in the road sign problem. IJCNN 2012: 1-6 - Milton Roberto Heinen, Paulo Martins Engel:
Image Retrieval by Content Based on a Visual Attention Model and Genetic Algorithms. SBIA 2012: 122-131 - Christian Northfleet, Paulo Martins Engel, Milton Roberto Heinen:
On-Line Learning Using a Connectionist Controller for Simulated Robot Soccer. SBRN 2012: 125-130 - Renato de Pontes Pereira, Paulo Martins Engel, Rafael C. Pinto:
Learning Abstract Behaviors with the Hierarchical Incremental Gaussian Mixture Network. SBRN 2012: 131-135 - 2011
- Edson Prestes e Silva Jr., Paulo Martins Engel:
Exploration driven by local potential distortions. IROS 2011: 1122-1127 - Milton Roberto Heinen, Ana L. C. Bazzan, Paulo Martins Engel:
Dealing with continuous-state reinforcement learning for intelligent control of traffic signals. ITSC 2011: 890-895 - Milton Roberto Heinen, Paulo Martins Engel:
Incremental feature-based mapping from sonar data using Gaussian mixture models. SAC 2011: 1370-1375 - 2010
- Milton Roberto Heinen, Paulo Martins Engel:
Aprendizado e Controle de Robôs Móveis Autônomos Utilizando Atenção Visual. RITA 17(3): 349-363 (2010) - Paulo Martins Engel, Milton Roberto Heinen:
Concept Formation Using Incremental Gaussian Mixture Models. CIARP 2010: 128-135 - Milton Roberto Heinen, Paulo Martins Engel:
An Incremental Probabilistic Neural Network for Regression and Reinforcement Learning Tasks. ICANN (2) 2010: 170-179
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