David Iclanzan

According to our database1, David Iclanzan authored at least 39 papers between 2007 and 2020.

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

Timeline

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PhD thesis 
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Bibliography

2020
Real Valued Card Counting Strategies for the Game of Blackjack.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Brain Tumor Segmentation from Multi-spectral MR Image Data Using Random Forest Classifier.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019
Linking Formal and Informal Structures based on Members' E-mail Communication Patterns.
Aust. J. Intell. Inf. Process. Syst., 2019

Learning to Generate Ambiguous Sequences.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

A Study on Histogram Normalization for Brain Tumour Segmentation from Multispectral MR Image Data.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019

2018
Evolving Computationally Efficient Hashing for Similarity Search.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
Automatic Brain Tumor Segmentation in Multispectral MRI Volumes Using a Random Forest Approach.
Proceedings of the Image and Video Technology - 8th Pacific-Rim Symposium, 2017

2015
Automatic Brain Tumor Segmentation in Multispectral MRI Volumetric Records.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Neural Population Coding of Stimulus Features.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014
Data-driven local optima network characterization of QAPLIB instances.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Learning Inherent Networks from Stochastic Search Methods.
Proceedings of the Evolutionary Computation in Combinatorial Optimisation, 2014

Global Optimization of Multimodal Deceptive Functions.
Proceedings of the Evolutionary Computation in Combinatorial Optimisation, 2014

2013
Cell state change dynamics in cellular automata.
Memetic Comput., 2013

Multiobjective Evolution of Mixed Nash Equilibria.
Proceedings of the Learning and Intelligent Optimization - 7th International Conference, 2013

2012
A Multi-parent Search Operator for Bayesian Network Building.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Evolving mixed nash equilibria for bimatrix games.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Higher-order linkage learning in the ECGA.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Modeling and replicating higher-order dependencies in genetic algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Evolutionary detection of community structures in complex networks: A new fitness function.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Enhancing the Computational Mechanics of Cellular Automata.
Proceedings of the Nature Inspired Cooperative Strategies for Optimization, 2011

Towards the efficient evolution of particle-based computation in cellular automata.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Hierarchical allelic pairwise independent functions.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Efficient 3D Curve Skeleton Extraction from Large Objects.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011

An Efficient Approach to Intensity Inhomogeneity Compensation Using c-Means Clustering Models.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011

2010
Graph Clustering Based Model Building.
Proceedings of the Parallel Problem Solving from Nature, 2010

2009
A weighted patient specific electromechanical model of the heart.
Proceedings of the 5th International Symposium on Applied Computational Intelligence and Informatics, 2009

Correlation guided model building.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

A generalized c-means clustering model using optimized via evolutionary computation.
Proceedings of the FUZZ-IEEE 2009, 2009

Cooperation in the context of sustainable search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
Large-Scale Optimization of Non-separable Building-Block Problems.
Proceedings of the Parallel Problem Solving from Nature, 2008

Towards memoryless model building.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Going for the big fishes: discovering and combining large neutral and massively multimodal building-blocks with model based macro-mutation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

GeCiM: A Novel Generalized Approach to C-Means Clustering.
Proceedings of the Progress in Pattern Recognition, 2008

How can Artificial Neural Networks help making the intractable search spaces tractable.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Neuro-Hill-Climber: A New Approach Towards More Intelligent Search and Optimization.
Proceedings of the Ninth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2007

Overrepresentations in Neutral Genotype-Phenotype Mappings and their Applications.
Proceedings of the Ninth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2007

Overcoming hierarchical difficulty by hill-climbing the building block structure.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Crossover: the divine afflatus in search.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

The Creativity Potential Within Evolutionary Algorithms.
Proceedings of the Advances in Artificial Life, 9th European Conference, 2007


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