Hansenclever de F. Bassani

Orcid: 0000-0001-5307-9400

According to our database1, Hansenclever de F. Bassani authored at least 23 papers between 2004 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Online presence:

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Bibliography

2022
Topological Semantic Mapping by Consolidation of Deep Visual Features.
IEEE Robotics Autom. Lett., 2022

2021
rSoccer: A Framework for Studying Reinforcement Learning in Small and Very Small Size Robot Soccer.
Proceedings of the RoboCup 2021: Robot World Cup XXIV, 2021

2020
A Framework for Studying Reinforcement Learning and Sim-to-Real in Robot Soccer.
CoRR, 2020

Learning to Play Soccer by Reinforcement and Applying Sim-to-Real to Compete in the Real World.
CoRR, 2020

An Analysis of Reinforcement Learning Applied to Coach Task in IEEE Very Small Size Soccer.
Proceedings of the Latin American Robotics Symposium, 2020

Deep Categorization with Semi-Supervised Self-Organizing Maps.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
A neural network architecture for learning word-referent associations in multiple contexts.
Neural Networks, 2019

Dynamic topology and relevance learning SOM-based algorithm for image clustering tasks.
Comput. Vis. Image Underst., 2019

Incremental Semantic Mapping with Unsupervised On-line Learning.
CoRR, 2019

A Semi-Supervised Self-Organizing Map with Adaptive Local Thresholds.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Semi-Supervised Self-Organizing Map for Clustering and Classification.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

MOEA/D with uniformly randomly adaptive weights.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017
Online incremental supervised growing neural gas.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2015
Dimension Selective Self-Organizing Maps With Time-Varying Structure for Subspace and Projected Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2015

2013
Learning vector quantization with local adaptive weighting for relevance determination in Genome-Wide association studies.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
Modeling the Slow Wave Shapes of Spreading Depression in a Rat Cortex: A Methodology for Seeking Physiological Parameters.
IEEE Trans. Biomed. Eng., 2012

Dimension Selective Self-Organizing Maps for clustering high dimensional data.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2010
Occurrence of false memories: A neural module considering context for memorization of words lists.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
Surface Reconstruction Method Based on a Growing Self-Organizing Map.
Proceedings of the Artificial Neural Networks, 2009

2006
Evolutionary Algorithm for 3D Object Reconstruction from Images.
Proceedings of the SBRN 2006, 2006

2004
Segmentation of Clinical Structures from Images of the Human Pelvic Area.
Proceedings of the XVII Brazilian Symposium on Computer Graphics and Image Processing, 2004

Watershed transform for automatic image segmentation of the human pelvic area.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004


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