Juan M. Banda

According to our database1, Juan M. Banda authored at least 26 papers between 2009 and 2018.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2018
Nanopublications: A Growing Resource of Provenance-Centric Scientific Linked Data.
CoRR, 2018

2017
Solar Event Classification Using Deep Convolutional Neural Networks.
Proceedings of the Artificial Intelligence and Soft Computing, 2017

Electronic phenotyping with APHRODITE and the Observational Health Sciences and Informatics (OHDSI) data network.
Proceedings of the Summit on Clinical Research Informatics, 2017

2016
Mining At Most Top-K% Spatiotemporal Co-occurrence Patterns in Datasets with Extended Spatial Representations.
ACM Trans. Spatial Algorithms and Systems, 2016

Learning statistical models of phenotypes using noisy labeled training data.
JAMIA, 2016

2015
Provenance-Centered Dataset of Drug-Drug Interactions.
CoRR, 2015

Provenance-Centered Dataset of Drug-Drug Interactions.
Proceedings of the Semantic Web - ISWC 2015, 2015

Unsupervised Learning Techniques for Detection of Regions of Interest in Solar Images.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014
Image retrieval on compressed images: Can we tell the difference?
Proceedings of the 4th International Conference on Image Processing Theory, 2014

Large-Scale Region-Based Multimedia Retrieval for Solar Images.
Proceedings of the Artificial Intelligence and Soft Computing, 2014

Scalable solar image Retrieval with Lucene.
Proceedings of the 2014 IEEE International Conference on Big Data, 2014

2013
A large-scale solar image dataset with labeled event regions.
Proceedings of the IEEE International Conference on Image Processing, 2013

On Using SIFT Descriptors for Image Parameter Evaluation.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Region-Based Querying of Solar Data Using Descriptor Signatures.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

A Comprehensive Study of iDistance Partitioning Strategies for kNN Queries and High-Dimensional Data Indexing.
Proceedings of the Big Data - 29th British National Conference on Databases, 2013

Extending High-Dimensional Indexing Techniques Pyramid and iMinMax(θ): Lessons Learned.
Proceedings of the Big Data - 29th British National Conference on Databases, 2013

Spatiotemporal Co-occurrence Rules.
Proceedings of the New Trends in Databases and Information Systems, 2013

When Too Similar Is Bad: A Practical Example of the Solar Dynamics Observatory Content-Based Image-Retrieval System.
Proceedings of the New Trends in Databases and Information Systems, 2013

Big Data New Frontiers: Mining, Search and Management of Massive Repositories of Solar Image Data and Solar Events.
Proceedings of the New Trends in Databases and Information Systems, 2013

2012
Spatio-temporal Co-occurrence Pattern Mining in Data Sets with Evolving Regions.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Quantitative Comparison of Linear and Non-linear Dimensionality Reduction Techniques for Solar Image Archives.
Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, 2012

2011
On the surprisingly accurate transfer of image parameters between medical and solar images.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2010
An Experimental Evaluation of Popular Image Parameters for Monochromatic Solar Image Categorization.
Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010

Selection of Image Parameters as the First Step towards Creating a CBIR System for the Solar Dynamics Observatory.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2010

Usage of Dissimilarity Measures and Multidimensional Scaling for Large Scale Solar Data Analysis.
Proceedings of the 2010 Conference on Intelligent Data Understanding, 2010

2009
On the effectiveness of fuzzy clustering as a data discretization technique for large-scale classification of solar images.
Proceedings of the FUZZ-IEEE 2009, 2009


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