Paulo Martins Engel

发表

Autocorrelation and partial autocorrelation functions to improve neural networks models on univariate time series forecasting

Joao Henrique F. Flores, Paulo Martins Engel, Rafael C. Pinto, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

MiRABIT: A New Algorithm for Mining Association Rules

Paulo Martins Engel, Sandro da Silva Camargo, 2002, SCCC.

Applying the Process of Knowledge Discovery in Databases to Identify Analysis Patterns for Reuse in Geographic Database Design

Paulo Martins Engel, Cirano Iochpe, Carolina Silva, 2002, SBIA.

A Progressive Enhancement Neural Model to Predict Reservoir Quality in Sandstones

Paulo Martins Engel, Sandro da Silva Camargo, P. Engel, 2009, 2009 3rd Southern Conference on Computational Modeling.

Mining frequent geographic patterns with knowledge constraints

Vania Bogorny, Paulo Martins Engel, Sandro da Silva Camargo, 2006, GIS '06.

A Framework for Constrained and Adaptive Behavior-Based Agents pdf

Paulo Martins Engel, Renato de Pontes Pereira, P. Engel, 2015, ArXiv.

Uma Proposta de Controle Neural Adaptativo para a Navegação de Veículos Autônomos

Paulo Martins Engel, Paulo Martins Engel, 1999 .

One-shot learning in the road sign problem

Paulo Martins Engel, Rafael C. Pinto, Milton Roberto Heinen, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Fault prediction in electrical valves using temporal Kohonen maps

Paulo Martins Engel, Marcelo Lubaszewski, Luiz F. Goncalves, 2010, 2010 11th Latin American Test Workshop.

RL-CD: Dealing with Non-Stationarity in Reinforcement Learning

Paulo Martins Engel, Ana L. C. Bazzan, Bruno Castro da Silva, 2006, AAAI.

IGMN: An incremental connectionist approach for concept formation, reinforcement learning and robotics

Paulo Martins Engel, Milton Roberto Heinen, P. Engel, 2011 .

A Fast Incremental Gaussian Mixture Model

Paulo Martins Engel, Rafael C. Pinto, P. Engel, 2015, PloS one.

A Clustering Strategy to Find Similarities in Mycoplasma Promoters

Paulo Martins Engel, João Francisco Valiati, P. Engel, 2005, BSB.

Incremental Learning of Multivariate Gaussian Mixture Models

Paulo Martins Engel, Milton Roberto Heinen, P. Engel, 2010, SBIA.

Improving reinforcement learning with context detection

Paulo Martins Engel, Filipo Studzinski Perotto, Ana L. C. Bazzan, 2006, AAMAS '06.

IPNN: An Incremental Probabilistic Neural Network for Function Approximation and Regression Tasks

Paulo Martins Engel, Milton Roberto Heinen, P. Engel, 2010, 2010 Eleventh Brazilian Symposium on Neural Networks.

Autonomous Learning Architecture for Environmental Mapping

Paulo Martins Engel, Edson Prestes e Silva, Marco Aurélio Pires Idiart, 2004, J. Intell. Robotic Syst..

Uso de um Ambiente Codesign para a Implementação de Redes Neurais

Paulo Martins Engel, Fernando Moraes, Rolf Fredi Molz, 2016 .

Artificial neural networks for predicting petroleum quality

Paulo Martins Engel, Sandro da Silva Camargo, P. Engel, 2011 .

Learning Abstract Behaviors with the Hierarchical Incremental Gaussian Mixture Network

Paulo Martins Engel, Rafael C. Pinto, Renato de Pontes Pereira, 2012, 2012 Brazilian Symposium on Neural Networks.

Exploration method using harmonic functions

Paulo Martins Engel, Edson Prestes e Silva, Marco Aurélio Pires Idiart, 2002, Robotics Auton. Syst..

An Alternative Approach for Promoter Recognition in Prokaryotic Organims

Paulo Martins Engel, João Francisco Valiati, P. Engel, 2004, WOB.

XSearch : A Neural Network Based Tool for Components Search in a Distributed Object Environment

Paulo Martins Engel, Arndt von Staa, Aluízio Haendchen Filho, 2001, DEXA.

Exploration technique using potential fields calculated from relaxation methods

Paulo Martins Engel, Edson Prestes e Silva, Marco Aurélio Pires Idiart, 2001, Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180).

Accuracy Tuning on Combinatorial Neural Model

Paulo Martins Engel, Hércules Antônio do Prado, Sandra R. Frigeri, 1999, PAKDD.

Evaluation of visual attention models under 2D similarity transformations

Paulo Martins Engel, Milton Roberto Heinen, P. Engel, 2009, SAC '09.

Feature-Based Mapping Using Incremental Gaussian Mixture Models

Paulo Martins Engel, Milton Roberto Heinen, 2010, 2010 Latin American Robotics Symposium and Intelligent Robotics Meeting.

On-Line Learning Using a Connectionist Controller for Simulated Robot Soccer

Paulo Martins Engel, Milton Roberto Heinen, Christian Northfleet, 2012, 2012 Brazilian Symposium on Neural Networks.

Alleviating The Complexity Of TheCombinatorial Neural Model Using ACommittee Machine

Paulo Martins Engel, H A do Prado, K. F. Machado, 2000 .

Using Knowledge Discovery to Identify Analysis Patterns for Geographic Database

Paulo Martins Engel, Cirano Iochpe, Carolina Silva, 2003, ICEIS.

Probabilistic Clustering and Classification for Textual Data: An Online and Incremental Approach

Paulo Martins Engel, Thiago Fredes Rodrigues, P. Engel, 2014, 2014 Brazilian Conference on Intelligent Systems.

Scalable Model for Extensional and Intensional Descriptions of Unclassified Data

Paulo Martins Engel, Stephen C. Hirtle, Hércules Antônio do Prado, 2000, IPDPS Workshops.

Mining association rules for HIV-1 protease cleavag e site prediction

Paulo Martins Engel, Sandro da Silva Camargo, 2006 .

A new proposal for implementation of competitive neural networks in analog hardware

Paulo Martins Engel, Rolf Fredi Molz, P. Engel, 1998, Proceedings 5th Brazilian Symposium on Neural Networks (Cat. No.98EX209).

Automated annotation of keywords for proteins related to mycoplasmataceae using machine learning techniques

Paulo Martins Engel, Ana L. C. Bazzan, Luciana F. Schroeder, 2002, ECCB.

Oriented exploration in non-oriented sparse environments

Paulo Martins Engel, Edson Prestes e Silva, Marco Aurélio Pires Idiart, 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

Dealing with non-stationary environments using context detection

Paulo Martins Engel, Ana L. C. Bazzan, Bruno Castro da Silva, 2006, ICML.

M´ etodo Neuro-estatpara Predic¸˜ ao de S´ eries Temporais Ruidosas

Paulo Martins Engel, Eliseu Celestino Schopf, 2007 .

GEOARM: an Interoperable Framework to Improve Geographic Data Preprocessing and Spatial Association Rule Mining

Vania Bogorny, Paulo Martins Engel, Luis Otávio Alvares, 2006, SEKE.

Convolutional Sparse Feature Descriptor for Object Recognition in CIFAR-10

Paulo Martins Engel, Edigleison Francelino Carvalho, P. Engel, 2013, 2013 Brazilian Conference on Intelligent Systems.

Rough Clustering: An Alternative to Find Meaningful Clusters by Using the Reducts from a Dataset

Paulo Martins Engel, Hércules Antônio do Prado, Homero Chaib Filho, 2002, Rough Sets and Current Trends in Computing.

An Incremental Probabilistic Neural Network for Regression and Reinforcement Learning Tasks

Paulo Martins Engel, Milton Roberto Heinen, P. Engel, 2010, ICANN.

Mining Maximal Generalized Frequent Geographic Patterns with Knowledge Constraints

Vania Bogorny, Paulo Martins Engel, Bart Kuijpers, 2006, Sixth International Conference on Data Mining (ICDM'06).

Using a Gaussian mixture neural network for incremental learning and robotics

Paulo Martins Engel, Rafael C. Pinto, Milton Roberto Heinen, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

A Reuse-based Spatial Data Preparation Framework for Data Mining

Vania Bogorny, Paulo Martins Engel, Luis Otávio Alvares, 2005, SEKE.

Alleviating the complexity of the Combinatorial Neural Model using a committee machine

Paulo Martins Engel, H A do Prado, K. F. Machado, 2000 .

Aprendizado e Controle de Robôs Móveis Autônomos Utilizando Atenção Visual

Paulo Martins Engel, Milton Roberto Heinen, Milton Roberto Heinen, 2011, RITA.

Niches evolving the positioning of a mechanical arm in a 3D environment

Paulo Martins Engel, Edson Prestes e Silva, Edson Prestes e Silva, 1998, Proceedings 5th Brazilian Symposium on Neural Networks (Cat. No.98EX209).

Incremental feature-based mapping from sonar data using Gaussian mixture models

Paulo Martins Engel, Milton Roberto Heinen, 2011, SAC '11.

Enhancing the Process of Knowledge Discovery in Geographic Databases Using Geo-Ontologies

Vania Bogorny, Paulo Martins Engel, Luis Alavares, 2009, Database Technologies: Concepts, Methodologies, Tools, and Applications.

Image Retrieval by Content Based on a Visual Attention Model and Genetic Algorithms

Paulo Martins Engel, Milton Roberto Heinen, P. Engel, 2012, SBIA.

NLOOK: a computational attention model for robot vision

Paulo Martins Engel, Milton Roberto Heinen, P. Engel, 2009, Journal of the Brazilian Computer Society.

BVP-exploration: further improvements

Paulo Martins Engel, Edson Prestes e Silva, Marco Aurélio Pires Idiart, 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

Dealing with continuous-state reinforcement learning for intelligent control of traffic signals

Paulo Martins Engel, Ana L. C. Bazzan, Milton Roberto Heinen, 2011, 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC).

A comparision between Symbolic and non-symbolic machine learning techniques in automated annotation of the "Keywords" field of SWISS-PROT

Paulo Martins Engel, Ana L. C. Bazzan, João Francisco Valiati, 2002, WOB.

Towards Elimination ofWell Known Geographic Patterns inSpatial Association

Paulo Martins Engel, 2006 .

Proposta de implementação em hardware dedicado de redes neurais competitivas com técnicas de circuitos integrados analógicos

Paulo Martins Engel, Rolf Fredi Molz, R. F. Molz, 1998 .

Concept Formation Using Incremental Gaussian Mixture Models

Paulo Martins Engel, Milton Roberto Heinen, P. Engel, 2010, CIARP.

Exploratory Navigation Based on Dynamical Boundary Value Problems

Paulo Martins Engel, Edson Prestes e Silva, Marco Aurélio Pires Idiart, 2006, J. Intell. Robotic Syst..

Generating clusters' explanations in just one data scan

Paulo Martins Engel, H A do Prado, A Haëndchen Filho, 2002 .