Tony R. Martinez

According to our database1, Tony R. Martinez authored at least 86 papers between 1988 and 2018.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2018
The robustness of majority voting compared to filtering misclassified instances in supervised classification tasks.
Artif. Intell. Rev., 2018

2017
Detecting Cognitive Distortions Through Machine Learning Text Analytics.
Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

2016
A Comparative Evaluation of Curriculum Learning with Filtering and Boosting in Supervised Classification Problems.
Computational Intelligence, 2016

Missing Value Imputation with Unsupervised Backpropagation.
Computational Intelligence, 2016

2015
Finding the Real Differences Between Learning Algorithms.
International Journal on Artificial Intelligence Tools, 2015

The Potential Benefits of Data Set Filtering and Learning Algorithm Hyperparameter Optimization.
Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2015 (ECMLPKDD 2015), 2015

Using Classifier diversity to handle label noise.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A hybrid latent variable neural network model for item recommendation.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
An instance level analysis of data complexity.
Machine Learning, 2014

The Potential Benefits of Filtering Versus Hyper-Parameter Optimization.
CoRR, 2014

Becoming More Robust to Label Noise with Classifier Diversity.
CoRR, 2014

A Hierarchical Multi-Output Nearest Neighbor Model for Multi-Output Dependence Learning.
CoRR, 2014

Reducing the Effects of Detrimental Instances.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

An Easy to Use Repository for Comparing and Improving Machine Learning Algorithm Usage.
Proceedings of the International Workshop on Meta-learning and Algorithm Selection co-located with 21st European Conference on Artificial Intelligence, 2014

Recommending Learning Algorithms and Their Associated Hyperparameters.
Proceedings of the International Workshop on Meta-learning and Algorithm Selection co-located with 21st European Conference on Artificial Intelligence, 2014

2013
A Comparative Evaluation of Curriculum Learning with Filtering and Boosting.
CoRR, 2013

An Extensive Evaluation of Filtering Misclassified Instances in Supervised Classification Tasks.
CoRR, 2013

Aggregate Certainty estimators.
Computational Intelligence, 2013

Automatic Generation of Music for Inducing Physiological Response.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

2012
Robust manifold learning with CycleCut.
Connect. Sci., 2012

Automatic Algorithm Development Using New Reinforcement Programming Techniques.
Computational Intelligence, 2012

Automatic Generation of Melodic Accompaniments for Lyrics.
Proceedings of the Third International Conference on Computational Creativity, Dublin, Ireland, May 30, 2012

2011
Manifold Learning by Graduated Optimization.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2011

Improving classification accuracy by identifying and removing instances that should be misclassified.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

On the structure of algorithm spaces.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Turning Bayesian model averaging into Bayesian model combination.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Tangent space guided intelligent neighbor finding.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Temporal nonlinear dimensionality reduction.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Automatic Generation of Emotionally-Targeted Soundtracks.
Proceedings of the Second International Conference on Computational Creativity, 2011

2010
Using learning algorithm behavior to chart task space: The DICES distance.
Intell. Data Anal., 2010

Using multiple measures to predict confidence in instance classification.
Proceedings of the International Joint Conference on Neural Networks, 2010

Automatic Generation of Music for Inducing Emotive Response.
Proceedings of the International Conference on Computational Creativity, 2010

Generating a novel sort algorithm using Reinforcement Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Generating three binary addition algorithms using reinforcement programming.
Proceedings of the 48th Annual Southeast Regional Conference, 2010

2009
Improving Supervised Learning by Adapting the Problem to the Learner.
Int. J. Neural Syst., 2009

Reducing Decision Tree Ensemble Size Using Parallel Decision DAGs.
International Journal on Artificial Intelligence Tools, 2009

Artificial neural network reduction through oracle learning.
Intell. Data Anal., 2009

2008
A Bradley-Terry artificial neural network model for individual ratings in group competitions.
Neural Computing and Applications, 2008

Decision Tree Ensemble: Small Heterogeneous Is Better Than Large Homogeneous.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

2007
Learning by Discrimination: A Constructive Incremental Approach.
JCP, 2007

Iterative Non-linear Dimensionality Reduction with Manifold Sculpting.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006
CB3: An Adaptive Error Function for Backpropagation Training.
Neural Processing Letters, 2006

Classification-based objective functions.
Machine Learning, 2006

2005
Domain expert approximation through oracle learning.
Proceedings of the ESANN 2005, 2005

2004
Weighted Instance Typicality Search (WITS): A nearest neighbor data reduction algorithm.
Intell. Data Anal., 2004

Neural Networks and Machine Learning: Towards Fully Automated Learning.
Proceedings of the 5th Mexican International Conference on Computer Science (ENC 2004), 2004

2003
The general inefficiency of batch training for gradient descent learning.
Neural Networks, 2003

2002
Improved Backpropagation Learning in Neural Networks with Windowed Momentum.
Int. J. Neural Syst., 2002

2001
DMP3: A Dynamic Multilayer Perceptron Construction Algorithm.
Int. J. Neural Syst., 2001

An algorithm for correcting mislabeled data.
Intell. Data Anal., 2001

2000
Using a Neural Network to Approximate an Ensemble of Classifiers.
Neural Processing Letters, 2000

Reduction Techniques for Instance-Based Learning Algorithms.
Machine Learning, 2000

Distribution-balanced stratified cross-validation for accuracy estimation.
J. Exp. Theor. Artif. Intell., 2000

Quantum associative memory.
Inf. Sci., 2000

An Integrated Instance-Based Learning Algorithm.
Computational Intelligence, 2000

Rescaling the Energy Function in Hopfield Networks.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

The Inefficiency of Batch Training for Large Training Sets.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999
A New Relaxation Procedure in the Hopfield Network for Solving Optimization Problems.
Neural Processing Letters, 1999

Extending the power and capacity of constraint satisfaction networks.
Proceedings of the International Joint Conference Neural Networks, 1999

The robustness of relaxation rates in constraint satisfaction networks.
Proceedings of the International Joint Conference Neural Networks, 1999

Combining cross-validation and confidence to measure fitness.
Proceedings of the International Joint Conference Neural Networks, 1999

A neural model of centered tri-gram speech recognition.
Proceedings of the International Joint Conference Neural Networks, 1999

1997
Improved Heterogeneous Distance Functions.
J. Artif. Intell. Res., 1997

A transformation strategy for implementing distributed, multilayer feedforward neural networks: Backpropagation transformation.
Future Generation Comp. Syst., 1997

Instance Pruning Techniques.
Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997

1996
LIA: A Location-Independent Transformation for ASOCS Adaptive Algorithm 2.
Int. J. Neural Syst., 1996

Heterogeneous radial basis function networks.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

Robust optimization using training set evolution.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

1995
A transformation for implementing localist neural networks.
Neural Parallel & Scientific Comp., 1995

Analysis of the Convergence and Generalization of AA1.
J. Parallel Distrib. Comput., 1995

An Integrated Framework for Learning and Reasoning.
J. Artif. Intell. Res., 1995

Using Evolutionary Computation to Generate Training Set Data for Neural Networks.
Proceedings of the Artificial Neural Nets and Genetic Algorithms, 1995

A Transformation for Implementing Efficient Dynamic Backpropagation Neural Networks.
Proceedings of the Artificial Neural Nets and Genetic Algorithms, 1995

AA1*: A Dynamic Incremental Network that Learns by Discrimination.
Proceedings of the Artificial Neural Nets and Genetic Algorithms, 1995

1994
Proof of correctness for ASOCS AA3 networks.
IEEE Trans. Systems, Man, and Cybernetics, 1994

The minimum feature set problem.
Neural Networks, 1994

Location-Independent Transformations: a General Strategy for Implementing Neural Networks.
International Journal on Artificial Intelligence Tools, 1994

A VLSI implementation of a parallel, self-organizing learning model.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

1993
The importance of using multiple styles of generalization.
Proceedings of the First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, 1993

Towards a general distributed platform for learning and generalization.
Proceedings of the First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, 1993

Using precepts to augment training set learning.
Proceedings of the First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, 1993

1991
A self-organizing binary decision tree for incrementally defined rule-based systems.
IEEE Trans. Systems, Man, and Cybernetics, 1991

A Self-Adjusting Dynamic Logic Module.
J. Parallel Distrib. Comput., 1991

1990
Smart memory architecture and methods.
Future Generation Comp. Syst., 1990

Smart Memory: the Memory Processor Model.
Proceedings of the Modelling the Innovation: Communications, 1990

1988
Adaptive Parallel Logic Networks.
J. Parallel Distrib. Comput., 1988


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