Ariel Baya
Ariel Baya
CIFASIS - CONICET
Verified email at cifasis-conicet.gov.ar - Homepage
Title
Cited by
Cited by
Year
Multiscale recognition of legume varieties based on leaf venation images
MG Larese, AE Bayá, RM Craviotto, MR Arango, C Gallo, PM Granitto
Expert Systems with Applications 41 (10), 4638-4647, 2014
362014
Clustering gene expression data with a penalized graph-based metric
AE Bayá, PM Granitto
BMC bioinformatics 12 (1), 2, 2011
362011
How many clusters: A validation index for arbitrary-shaped clusters
AE Baya, PM Granitto
IEEE/ACM Transactions on Computational Biology and Bioinformatics 10 (2 …, 2013
262013
Clustering stability for automated color image segmentation
AE Bayá, MG Larese, R Namías
Expert Systems with Applications 86, 258-273, 2017
102017
Inferring unknown biological function by integration of GO annotations and gene expression data
G Leale, AE Bayá, DH Milone, PM Granitto, G Stegmayer
IEEE/ACM transactions on computational biology and bioinformatics 15 (1 …, 2016
92016
Clustering using PK-D: A connectivity and density dissimilarity
AE Bayá, MG Larese, PM Granitto
Expert Systems with Applications 51, 151-160, 2016
92016
ISOMAP based metrics for Clustering
AE Bayá, PM Granitto
Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial …, 2008
72008
Gene set enrichment analysis using non-parametric scores
AE Bayá, MG Larese, PM Granitto, JC Gómez, E Tapia
Brazilian Symposium on Bioinformatics, 12-21, 2007
72007
Penalized k-nearest-neighbor-graph based metrics for clustering
AE Bayá, PM Granitto
arXiv preprint arXiv:1006.2734, 2010
42010
A novel clustering approach for biological data using a new distance based on Gene Ontology
G Leale, DH Milone, AE Bayá, PM Granitto, G Stegmayer
XIV Argentine Symposium on Artificial Intelligence (ASAI)-JAIIO 42 (2013)., 2013
32013
Extensión de métodos modernos de Aprendizaje Automatizado y aplicaciones
HC Ahumada, AE Bayá, GL Grinblat, CJ Izetta Riera
XIII Workshop de Investigadores en Ciencias de la Computación, 2011
22011
Improved graph-based metrics for clustering high-dimensional datasets
AE Bayá, PM Granitto
Ibero-American Conference on Artificial Intelligence, 184-193, 2010
22010
New approach for biological clustering based on Gene Ontology
G Leale, D Milone, A Bayá, P Granitto, G Stegmayer
Proc. Arg. Symposium on Artificial Intelligence, 2013
12013
Improved gene expression clustering with the parameter-free PKNNG metric
AE Bayá, PM Granitto
Brazilian Symposium on Bioinformatics, 50-57, 2011
12011
Pixel sampling by clustering
AE Bayá, MG Larese
Expert Systems with Applications, 113576, 2020
2020
2018 Index IEEE/ACM Transactions on Computational Biology and Bioinformatics Vol. 15
A Abbas, AB Abdallah, S Acharyya, MT Afzal, A Ahmad, CK Ahn, T Akutsu, ...
IEEE/ACM Transactions on Computational Biology and Bioinformatics 16 (1), 1, 2019
2019
Discussing a new Divisive Hierarchical Clustering algorithm
E Vidal, PM Granitto, A Bayá
XLIII Jornadas Argentinas de Informática e Investigación Operativa (43JAIIO …, 2014
2014
Clustering gene expression data with the PKNNG metric
AE Bayá, PM Granitto
XIV Congreso Argentino de Ciencias de la Computación, 2008
2008
Automatic gridding of microarray images based on spatial constrained K-means and Voronoi diagrams
MG Larese, AE Bayá, JC Gómez
XII Congreso Argentino de Ciencias de la Computación, 2006
2006
IEEE/ACM TCBB
C Bernardini, F Censi, W Lattanzi, G Calcagnini, A Giuliani, AE Bayá, ...
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