Paulo Martins Engel

Affiliations:
  • Federal University of Rio Grande do Sul, Porto Alegre, Brazil


According to our database1, Paulo Martins Engel authored at least 50 papers between 1998 and 2015.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2015
A Fast Incremental Gaussian Mixture Model.
CoRR, 2015

A Framework for Constrained and Adaptive Behavior-Based Agents.
CoRR, 2015

2014
Probabilistic Clustering and Classification for Textual Data: An Online and Incremental Approach.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013
Convolutional Sparse Feature Descriptor for Object Recognition in CIFAR-10.
Proceedings of the Brazilian Conference on Intelligent Systems, 2013

2012
Learning Abstract Behaviors with the Hierarchical Incremental Gaussian Mixture Network.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

On-Line Learning Using a Connectionist Controller for Simulated Robot Soccer.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

Image Retrieval by Content Based on a Visual Attention Model and Genetic Algorithms.
Proceedings of the Advances in Artificial Intelligence - SBIA 2012, 2012

One-shot learning in the road sign problem.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Using a Gaussian mixture neural network for incremental learning and robotics.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Autocorrelation and partial autocorrelation functions to improve neural networks models on univariate time series forecasting.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011
Incremental feature-based mapping from sonar data using Gaussian mixture models.
Proceedings of the 2011 ACM Symposium on Applied Computing (SAC), TaiChung, Taiwan, March 21, 2011

Dealing with continuous-state reinforcement learning for intelligent control of traffic signals.
Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems, 2011

Exploration driven by local potential distortions.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

2010
Aprendizado e Controle de Robôs Móveis Autônomos Utilizando Atenção Visual.
RITA, 2010

IPNN: An Incremental Probabilistic Neural Network for Function Approximation and Regression Tasks.
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

Incremental Learning of Multivariate Gaussian Mixture Models.
Proceedings of the Advances in Artificial Intelligence - SBIA 2010, 2010

Fault prediction in electrical valves using temporal Kohonen maps.
Proceedings of the 11th Latin American Test Workshop, 2010

An Incremental Probabilistic Neural Network for Regression and Reinforcement Learning Tasks.
Proceedings of the Artificial Neural Networks, 2010

Concept Formation Using Incremental Gaussian Mixture Models.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2010

2009
NLOOK: a computational attention model for robot vision.
J. Braz. Comput. Soc., 2009

Evaluation of visual attention models under 2D similarity transformations.
Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009

Enhancing the Process of Knowledge Discovery in Geographic Databases Using Geo-Ontologies.
Proceedings of the Database Technologies: Concepts, 2009

2008
Towards Elimination of Redundant and Well Known Patterns in Spatial Association Rule Mining.
Proceedings of the Intelligent Techniques and Tools for Novel System Architectures, 2008

2006
Exploratory Navigation Based on Dynamical Boundary Value Problems.
J. Intell. Robotic Syst., 2006

GEOARM: an Interoperable Framework to Improve Geographic Data Preprocessing and Spatial Association Rule Mining.
Proceedings of the Eighteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2006), 2006

Dealing with non-stationary environments using context detection.
Proceedings of the Machine Learning, 2006

Mining Maximal Generalized Frequent Geographic Patterns with Knowledge Constraints.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Mining frequent geographic patterns with knowledge constraints.
Proceedings of the 14th ACM International Symposium on Geographic Information Systems, 2006

Improving reinforcement learning with context detection.
Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), 2006

RL-CD: Dealing with Non-Stationarity in Reinforcement Learning.
Proceedings of the Proceedings, 2006

2005
A Clustering Strategy to Find Similarities in Mycoplasma Promoters.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2005

A Reuse-based Spatial Data Preparation Framework for Data Mining.
Proceedings of the 17th International Conference on Software Engineering and Knowledge Engineering (SEKE'2005), 2005

2004
Autonomous Learning Architecture for Environmental Mapping.
J. Intell. Robotic Syst., 2004

An Alternative Approach for Promoter Recognition in Prokaryotic Organims.
Proceedings of the III Brazilian Workshop on Bioinformatics, 2004

2003
BVP-exploration: further improvements.
Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, Nevada, USA, October 27, 2003

Using Knowledge Discovery to Identify Analysis Patterns for Geographic Database.
Proceedings of the ICEIS 2003, 2003

2002
Exploration method using harmonic functions.
Robotics Auton. Syst., 2002

A comparision between Symbolic and non-symbolic machine learning techniques in automated annotation of the "Keywords" field of SWISS-PROT.
Proceedings of the I Brazilian Workshop on Bioinformatics, 2002

MiRABIT: A New Algorithm for Mining Association Rules.
Proceedings of the 22nd International Conference of the Chilean Computer Science Society (SCCC 2002), 2002

Applying the Process of Knowledge Discovery in Databases to Identify Analysis Patterns for Reuse in Geographic Database Design.
Proceedings of the Advances in Artificial Intelligence, 2002

Rough Clustering: An Alternative to Find Meaningful Clusters by Using the Reducts from a Dataset.
Proceedings of the Rough Sets and Current Trends in Computing, 2002

Oriented exploration in non-oriented sparse environments.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Lausanne, Switzerland, September 30, 2002

Automated annotation of keywords for proteins related to mycoplasmataceae using machine learning techniques.
Proceedings of the European Conference on Computational Biology (ECCB 2002), 2002

2001
Exploration technique using potential fields calculated from relaxation methods.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2001

XSearch : A Neural Network Based Tool for Components Search in a Distributed Object Environment.
Proceedings of the Database and Expert Systems Applications, 12th International Conference, 2001

2000
Design of a Classification System for Rectangular Shapes Using a Co-Design Environment.
Proceedings of the 13th Annual Symposium on Integrated Circuits and Systems Design, 2000

Scalable Model for Extensional and Intensional Descriptions of Unclassified Data.
Proceedings of the Parallel and Distributed Processing, 2000

1999
Accuracy Tuning on Combinatorial Neural Model.
Proceedings of the Methodologies for Knowledge Discovery and Data Mining, 1999

1998
A New Proposal for Implementation of Competitive Neural Networks in Analog Hardware.
Proceedings of the 5th Brazilian Symposium on Neural Networks (SBRN '98), 1998

Niches Evolving the Positioning of a Mechanical Arm in a 3D Environment.
Proceedings of the 5th Brazilian Symposium on Neural Networks (SBRN '98), 1998


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