América Latina Hoy

Alvarado-Pérez, J.C., Peluffo-Ordó-ez, D.H., and Theron, R., 2015, Bridging the Gap between Human Knowledge and Machine Learning. Advances in Distributed Computing and Artificial Intelli-gence Journal, 4(1):54-64. http://dx.doi.org/10.14201/ADCAIJ2015415464

Barbosa, P., Dias, O., Arrais, J.P., and Rocha, M., 2014, Metagenomic Analysis of the Saliva Microbiome with Merlin. Advances in Intelligent Systems and Computing, 294:191-199. http://dx.doi.org/10.1007/978-3-319-07581-5_23

Dias, D., Rocha, M., Ferreira, E.C., and Rocha, I., 2015, Reconstructing genome-scale metabolic models with merlin. Nucleic Acids Research, 43(8):3899-3910. http://dx.doi.org/10.1093/nar/gkv294

Fdez-Riverola, F., Glez-Pe-a, D., López-Fernández, H., Reboiro-Jato, M., and Méndez J.R., 2012, A Java application framework for scientific software development. Software: Practice & Experience, 42/8:1015-1036. http://dx.doi.org/10.1002/spe.1108

Galesio, M., López-Fdez, H., Reboiro-Jato, M., Gómez-Meire, S., Glez-Pe-a, D., Fdez-Riverola, F., Lodei-ro, C., Diniz, D., and Capelo, J.L., 2013, Speeding up the screening of steroids in urine: develop-ment of a user-friendly library. Steroids, 78(12-13):1226-1232. http://dx.doi.org/10.1016/j.steroids.2013.08.014

Glez-Pe-a, G., Reboiro-Jato, M., Maia, P., Díaz, F., and Fdez-Riverola, F., 2010, AIBench: a rapid appli-cation development framework for translational research in biomedicine. Computer Methods and Programs in Biomedicine, 98(2010):191-203. http://dx.doi.org/10.1016/j.cmpb.2009.12.003

Glez-Pe-a, D., Gómez-López, G., Reboiro-Jato, M., Fdez-Riverola, F., and Pisano, D.G., 2011, PileLine: a toolbox to handle genome position information in next-generation sequencing studies. BMC Bio-informatics, 12:31. http://dx.doi.org/10.1186/1471-2105-12-31

Gonçalves, E., Rocha, I., and Rocha, M., 2012, Computational tools for strain optimization by tuning the optimal level of gene expression. Advances in Intelligent and Soft Computing, 154:251-258. http://dx.doi.org/10.1007/978-3-642-28839-5_29

Hall, M., Frank, E., Geoffrey, H., Pfahringer, B., Reutemann, P., and Witten, I.H., 2009, The WEKA Data Mining Software: An Update. SIGKDD Explorations, 11:10–18. http://dx.doi.org/10.1145/1656274.1656278

Khayati, N., and Lejouad-Chaarib, W., 2013. A Distributed and Collaborative Intelligent System for Medical Diagnosis. Advances in Distributed Computing and Artificial Intelligence Journal, 2(2):1-16.

López-Fernández, H., Reboiro-Jato, M., Glez-Pe-a, D., Méndez-Reboredo, J.R., Santos, H.M., Carreira, R.J., Capelo, J.L., and Fdez-Riverola, F., 2011a, Rapid development of proteomic applications with the AIBench framework. Journal of Integrative Bioinformatics, 8/3:171.

López-Fernández, H., Glez-Pe-a, D., Reboiro-Jato, M., Gómez-López, G., Pisano, D.G., and Fdez-Riverola, F., 2011b, PileLineGUI: a desktop environment for handling genome position files in next-generation sequencing studies. Nucleic Acids Research, 39(suppl. 2):W562-W566. http://dx.doi.org/10.1093/nar/gkr439

López-Fernández, H., Glez-Pe-a, D., Reboiro-Jato, M., Aparicio, F., Gachet, D., Buenaga, M., and Fdez-Riverola, F., 2013a, BioAnnote: A software platform for annotating biomedical documents with application in medical learning environments. Computer Methods and Programs in Biomedicine, 111/1:139-147.http://dx.doi.org/10.1016/j.cmpb.2013.03.007

López-Fernández, H., Reboiro-Jato, M., Madeira, S.C., López-Cortés, R., Nunes-Miranda, J.D., Santos, H.M., Fdez-Riverola, F., and Glez-Pe-a, D., 2013b, A workflow for the application of biclustering to mass spectrometry data. Advances in Intelligent Systems and Computing, 222: 145-153. http://dx.doi.org/10.1007/978-3-319-00578-2_19

López-Fernández, H., Reboiro-Jato, M., Glez-Pe-a, D., and Fdez-Riverola, F., 2014, A comprehensive analysis about the influence of low-level preprocessing techniques on mass spectrometry data for sample classification. International Journal of Data Mining and Bioinformatics, 10/4:455-473.

http://dx.doi.org/10.1504/IJDMB.2014.064897

López-Fernández, H., Santos, H.M., Capelo, J.L., Fdez-Riverola, F., Glez-Pe-a, D., and Reboiro-Jato, M., 2015, Mass-Up: an all-in-one open software application for MALDI-TOF mass spectrometry knowledge discovery. BMC Bioinformatics, 16:318. http://dx.doi.org/10.1186/s12859-015-0752-4

López-Fernández, H., 2016, Application of data mining and artificial intelligence techniques to mass spectrometry data for knowledge discovery. Revista Iberoamericana de Inteligencia Artificial, 19(57):22-25.

Lourenço, A., Carreira, R., Carneiro, S., Maia, P., Glez-Pe-a, D., Fdez-Riverola, F., Ferreira, E.C., Rocha, I., and Rocha, M., 2009, @Note: A workbench for Biomedical Text Mining. Journal of Biomedi-cal Informatics, 42(4): 710-720. http://dx.doi.org/10.1016/j.jbi.2009.04.002

Noronha, A., Vilaça, P., and Rocha, M., 2013, Network Visualization Tools to Enhance Metabolic Engi-neering Platforms. Advances in Intelligent Systems and Computing, 222:137-144. http://dx.doi.org/10.1007/978-3-319-00578-2_18

Nunes-Miranda, J.D., Santos, H.M., Reboiro-Jato, M., Fdez-Riverola, F., Igrejas, G., Lodeiro C., and Capelo, J.L., 2012, Direct matrix assisted laser desorption ionization mass spectrometry-based analysis of wine as a powerful tool for classification purposes. Talanta, 91:72-76. http://dx.doi.org/10.1016/j.talanta.2012.01.017

Pereira, A., Felisberto, F., Maduro, L., and Felgueiras, M., 2012. Fall Detection on Ambient Assisted Living using a Wireless Sensor Network. Advances in Distributed Computing and Artificial Intelligence Journal, 1(1):62-77.

Pérez-Rodríguez, G., Glez-Pe-a, D., Azevedo, N.F., Pereira, M.O., Fdez-Riverola, F., and Lourenço, A., 2015, Enabling systematic, harmonised and large-scale biofilms data computation: the Biofilms Experiment Workbench. Computer Methods and Programs in Biomedicine, 118/3:309-321. http://dx.doi.org/10.1016/j.cmpb.2014.12.005

Reboiro-Jato, D., Reboiro-Jato, M., Fdez-Riverola, F., Vieira, C.P., Fonseca, N.A., and Vieira, J., 2012, ADOPS - Automatic detection of positively selected sites. Journal of Integrative Bioinformatics, 9/3:200.

Reboiro-Jato, M., Laza, R., López-Fernández, H., Glez-Pe-a, D., Díaz, F., and Fdez-Riverola, F., 2013, genEnsemble: a new model for the combination of classifiers and integration of biological knowledge applied to genomic data. Expert Systems With Applications, 40/1:52-63. http://dx.doi.org/10.1016/j.eswa.2012.07.003

Reboiro-Jato, M., Díaz, F., Glez-Pe-a, D., and Fdez-Riverola, F., 2014, A novel ensemble of classifiers that use biological relevant gene sets for microarray classification. Applied Soft Computing, 17:117-126. http://dx.doi.org/10.1016/j.asoc.2014.01.002

Rocha, I., Maia, P., Evangelista, P., Vilaça, P., Soares, S., Pinto, J.P., Nielsen, J., Patil, K.R., Ferreira, E.C., and Rocha, M., 2010, OptFlux: An open-source software platform for in silico metabolic engineer-ing. BMC Systems Biology, 4:45. http://dx.doi.org/10.1186/1752-0509-4-45

Rocha, M., Mendes, R., Rocha, O., Rocha, I., and Ferreira, E.C., 2014, Optimization of fed-batch fer-mentation processes with bio-inspired algorithms. Expert Systems With Applications, 41(5): 2186–2195. http://dx.doi.org/10.1016/j.eswa.2013.09.017

Romero, R., Seara Vieira, A., Iglesias, E. L., Borrajo, L., 2014, BioClass: A Tool for Biomedical Text Classification. Advances in Intelligent Systems and Computing, 294:243-251. http://dx.doi.org/10.1007/978-3-319-07581-5_29

Santos, A., Nogueira, R., and Lourenço, A., 2012. Applying a text mining framework to the extraction of numerical pa-rameters from scientific literature in the biotechnology domain. Advances in Dis-tributed Computing and Artificial Intelligence Journal, 1(1):1-8. http://dx.doi.org/10.1155/2012/312132

Santos, H.M., Reboiro-Jato, M., Glez-Pe-a, D., Diniz, M.S., Fdez-Riverola, F., Carvalho R., Lodeiro, C., and Capelo, J.L., 2010, Decision peptide-driven: a free software tool for accurate protein quantifi-cation using gel electrophoresis and matrix assisted laser desorption ionization time of flight mass spectrometry. Talanta, 82/4:1412-1420. http://dx.doi.org/10.1016/j.talanta.2010.07.007

Seara Vieira, A., Iglesias, E.L., Borrajo, L., and Romero R., 2014. A HMM Text Classification Model with Learning Capacity. Advances in Distributed Computing and Artificial Intelligence Journal, 3(3):21-34.

Spinellis, D., 2008, Software Builders. IEEE Software, 25(3):22-23. http://dx.doi.org/10.1109/MS.2008.74

Vilaça, P., Rocha, I., and Rocha, M., 2011, A computational tool for the simulation and optimization of microbial strains accounting integrated metabolic/regulatory information. Biosystems, 103(3):435-441. http://dx.doi.org/10.1016/j.biosystems.2010.11.012