A. Azcarraga

发表

Extracting salient dimensions for automatic SOM labeling

Shan Ling Pan, Rudy Setiono, Ming-Huei Hsieh, 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

Using Artificial Neural Networks to Visualize Poverty

A. Azcarraga, 2013 .

Methodology for Emulating Self Organizing Maps for Visualization of Large Datasets

A. Azcarraga, M. Cordel, 2015 .

Towards a High-Level Hybrid System of Neural Classifiers

A. Azcarraga, N. Reyes, 2001 .

Visualizing Globalization: A SOM Approach to Customer Profiling

Rudy Setiono, Arnulfo P. Azcarraga, 謝明慧, 2003 .

Neural network rule extraction for gaining insight into the characteristics of poverty

Rudy Setiono, Arnulfo P. Azcarraga, R. Setiono, 2017, Neural computing & applications (Print).

Neural network training and rule extraction with augmented discretized input

Yoichi Hayashi, Rudy Setiono, Arnulfo P. Azcarraga, 2016, Neurocomputing.

Tagging documents using neural networks based on local word features

Rudy Setiono, Arnulfo P. Azcarraga, Paolo Tensuan, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Improving k-Means Clustering Performance with Disentangled Internal Representations

Arnulfo P. Azcarraga, Abien Fred Agarap, A. Azcarraga, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

SOMphony: Visualizing Symphonies Using Self Organizing Maps

Arnulfo P. Azcarraga, Fritz Kevin Flores, A. Azcarraga, 2016, ICONIP.

Generative Adversarial Networks for Improving Object Detection in Camouflaged Images

Arnulfo P. Azcarraga, Jinky G. Marcelo, A. Azcarraga, 2020, ICONIP.

Improved SOM Labeling Methodology for Data Mining Applications

Shan Ling Pan, Rudy Setiono, Ming-Huei Hsieh, 2008, Soft Computing for Knowledge Discovery and Data Mining.

Visualizing Globalization: A Self-Organizing Maps Approach to Customer Profiling

Rudy Setiono, Ming-Huei Hsieh, Arnulfo P. Azcarraga, 2003, ICIS.

An effective method for generating multiple linear regression rules from artificial neural networks

Rudy Setiono, Arnulfo P. Azcarraga, R. Setiono, 2001, Proceedings 13th IEEE International Conference on Tools with Artificial Intelligence. ICTAI 2001.

Kohonen Feature Maps: Toward Invariant Character Recognition

Arnulfo P. Azcarraga, Bernard Amy, A. Azcarraga, 1990, AIMSA.

Interactive Style Transfer: Towards Styling User-Specified Object

Kai-Lung Hua, Arnulfo P. Azcarraga, Daniel Stanley Tan, 2018, 2018 IEEE Visual Communications and Image Processing (VCIP).

Evaluating keyword selection methods for WEBSOM text archives

Tat-Seng Chua, Arnulfo P. Azcarraga, Teddy N. Yap, 2004, IEEE Transactions on Knowledge and Data Engineering.

Comparing keyword extraction techniques for WEBSOM text archives

Arnulfo P. Azcarraga, Teddy N. Yap, T. N. Yap, 2001, Proceedings 13th IEEE International Conference on Tools with Artificial Intelligence. ICTAI 2001.

SOM-based methodology for building large text archives

Arnulfo P. Azcarraga, Teddy N. Yap, T. N. Yap, 2001, Proceedings Seventh International Conference on Database Systems for Advanced Applications. DASFAA 2001.

Poem Generation using Transformers and Doc2Vec Embeddings

Arnulfo P. Azcarraga, Marvin C. Santillan, A. Azcarraga, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Separating core and noncore knowledge: an application of neural network rule extraction to a cross-national study of brand image perception

Shan Ling Pan, Rudy Setiono, Ming-Huei Hsieh, 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

Measuring the contribution of filter bank layer to performance of convolutional neural networks

Arnulfo P. Azcarraga, Macario O. Cordel, A. Azcarraga, 2017, Int. J. Knowl. Based Intell. Eng. Syst..

A Two-Stage Feature Selection Algorithm Based on Redundancy and Relevance

Arnulfo P. Azcarraga, Arren Matthew C. Antioquia, A. Azcarraga, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Keyword extraction using backpropagation neural networks and rule extraction

Rudy Setiono, Arnulfo P. Azcarraga, Michael David Liu, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Neural network rule extraction for gaining insight into the characteristics of poverty

R. Setiono, A. Azcarraga, 2018, Neural Computing and Applications.

Knowledge acquisition and revision via neural networks

R. Setiono, A. Azcarraga, M. Hsieh, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

Knowledge acquisition and revision using neural networks: an application to a cross-national study of brand image perception

Shan Ling Pan, Rudy Setiono, Ming-Huei Hsieh, 2006, J. Oper. Res. Soc..

A New Method for Emulating Self-Organizing Maps for Visualization of Datasets

Arnulfo P. Azcarraga, Macario O. Cordel, A. Azcarraga, 2018, Int. J. Comput. Intell. Appl..

Assessing self-organization using order metrics

Arnulfo P. Azcarraga, A. Azcarraga, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Design of a Structured 3D SOM as a Music Archive

Arnulfo P. Azcarraga, Sean Manalili, A. Azcarraga, 2011, WSOM.

Enhancing SOM digital music archives using Scatter-Gather

Arnulfo P. Azcarraga, Aldrich C. Caw, A. Azcarraga, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Generating Adversarial Examples Using Uniform Pixels and Neighbor Aggregation

A. Azcarraga, Glenn Paul, P. Gara, 2020 .