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All articles are available upon request. ORCID ID is 0000-0002-6923-9592 Journals Gallo, C.A., Cecchini, R.L., Carballido, J.A., Micheletto, S., Ponzoni, I. “Discretization of gene expression data revised”, Briefings in Bioinformatics, Oxford University Press, (2015). In press. [DOI] Martínez, M.J., Ponzoni, I., Díaz, M.F., Vazquez, G.E., Soto, A.J. “Visual analytics in cheminformatics: user‑supervised descriptor selection for QSAR methods”, Journal of Cheminformatics, Vol. 7, Paper 39. Springer Science+Business Media, (2015). [DOI] Carballido, J.A., Gallo, C.A., Dussaut J.S., Ponzoni, I. “On Evolutionary Algorithms for Biclustering of Gene Expression Data”, Currents Bioinformatics, Vol. 10, No. 3, pp. 259-267. Bentham Science, (2015). [DOI] Ponzoni I., Nueda M.J., Tarazona S., Götz S., Montaner D., Dussaut J.S., Dopazo J., Conesa A. “Pathway network inference from gene expression data”, BMC Systems Biology, Vol. 8, S7. Springer Science+Business Media, (2014). [DOI] Romero, J.R., Roncallo, P.F., Akkiraju, P.C., Ponzoni, I., Echenique, V.C., Carballido, J.A. “Using classification algorithms for predicting durum wheat yield in the province of Buenos Aires”, Computers and Electronics in Agriculture, Vol. 96, pp. 173-179. Elsevier, (2013). [DOI] Palomba, D., Martínez, M.J., Ponzoni, I., Díaz, M.F., Vazquez, G.E., Soto, A.J. “QSAR models for predicting log Pliver on volatile organic compounds combining statistical methods and domain knowledge”, Molecules, Vol. 17, No. 12, pp. 14937-14953. MDPI AG, (2012). [DOI] Cecchini, R.L., Ponzoni, I., Carballido, J.A. “Multi-objective evolutionary approaches for intelligent design of sensor networks in the petrochemical industry”, Expert Systems with Applications, Vol. 39, pp. 2643-2649. Elsevier, (2012). [DOI] Soto, A.J., Vazquez, G.E., Strickert, M., Ponzoni, I. “Target-driven subspace mapping methods and their applicability domain estimation”, Molecular Informatics, Vol. 30, pp. 779–789. Wiley, (2011). [DOI] Gallo, C.A., Carballido, J.A., Ponzoni, I. “Discovering Time-Lagged Rules from Microarray Data using Gene Profile Classifiers”, BMC Bioinformatics. Vol. 12, paper 123. Springer Science+Business Media, (2011). [DOI] Soto, A.J., Cecchini, R.L., Vazquez, G.E., Ponzoni, I. “Multi-Objective Feature Selection in QSAR/ QSPR using a Machine Learning Approach”, QSAR & Combinatorial Science, Vol. 28, No. 11-12, pp. 1509-1523. Wiley InterScience, (2009). [DOI] Carballido, J.A., Ponzoni, I., Brignole, N.B. “SID-GA: an Evolutionary Approach for improving Observability and Redundancy Analysis in Structural Instrumentation Design”. Computers & Industrial Engineering. Vol. 56, No. 4, pp. 1419-1428. Elsevier, (2009). [DOI] Domancich, A.O., Durante, M., Ferraro, S., Hoch, P., Brignole N.B., Ponzoni I. “How To Improve the Model Partitioning in a DSS for Instrumentation Design”, Industrial & Engineering Chemistry Research. Vol. 48, No. 7, pp. 3513-3525. American Chemical Society, (2009). [DOI] Carballido, J.A., Ponzoni, I. “On Artificial Gene Regulatory Networks”, Electronic Journal of SADIO, Vol. 8, No. 1, pp. 25-34 (2008). [PDF fulltext] [EJS issue] Soto, A.J., Cecchini, R.L., Vazquez, G.E., Ponzoni, I. “An Evolutionary Approach for Feature Selection applied to ADMET Prediction”, Inteligencia Artificial, Ibero-American Journal of Artificial Intelligence, Vol. 37, pp. 55-63 (2008). [PDF fulltext] [RAEPIA issue] Ponzoni, I., Azuaje, F.J., Augusto, J.C., Glass, D.H. “Inferring association rules between genes using a combinatorial optimization learning process and adaptive regulation thresholds”. IEEE/ACM Transactions on Computational Biology and Bioinformatics,Vol. 4, No. 4, pp. 624-634. IEEE Computer Society, (2007). [DOI] Carballido, J.A., Ponzoni, I., Brignole, N.B. “CGD-GA: A Graph-based Genetic Algorithm for Sensor Network Design”. Information Sciences. Vol. 177, No. 22, pp. 5091–5102. Elsevier, (2007). [DOI] Carballido, J.A., Ponzoni, I. y Brignole N.B., “Initial Sensor Network Design With A Multi-Objective Genetic Algorithm”, Electronic Journal of SADIO, Vol. 6, No. 1, pp. 34-41, (2004). [PDF fulltext] [EJS issue] Ponzoni I., Sánchez M.C., Brignole N.B. “A Direct Method for Structural Observability Analysis”, Industrial & Engineering Chemistry Research. Vol. 43, No. 2, pp. 577-588. American Chemical Society, (2004). [DOI] Ferraro, S., Ponzoni I., Sánchez M.C., Brignole N.B. “A Symbolic Derivation Approach for Redundancy Analysis”, Industrial & Engineering Chemistry Research. Vol. 41, No. 23, pp. 5692-5701. American Chemical Society, (2002). [DOI] Ponzoni I., Vazquez G.E., Sánchez M.C., Brignole N.B. “Parallel Observability Analysis on Networks of Workstations”, Computers & Chemical Engineering. Vol 25, No.7-8, pp. 997-1002. Elsevier, (2001). [DOI] Vazquez G.E., Ponzoni I., Sánchez M.C., Brignole N.B. “ModGen: A Model Generator for Instrumentation Analysis”, Advances in Engineering Software, Vol. 32, No. 1, pp. 37-48. Elsevier, (2000). [DOI] Ponzoni I., Sánchez M.C., Brignole N.B. “A New Structural Algorithm for Observability Classification”, Industrial & Engineering Chemistry Research, Vol. 38, No. 8, pp. 3027-3035. American Chemical Society, (1999). [DOI] Ponzoni I., Sánchez M.C., Brignole N.B. “Permutation of Sparse Matrices to a specific lower BTF using Graph Decompositions”, Electronic Journal of SADIO, Vol. 1, Nº 1, pp. 76-87, (1998). [PDF fulltext] [EJS issue] Ponzoni I., Sánchez M.C., Brignole N.B. “CDHG: a New Partitioning Algorithm based on the Detection of Cycles in Hypergraphs”, Latin American Applied Research, Vol. 28, Nº1/2, pp. 31-36 (1998). [LAAR issue] Book Chapters Domancich, A.O., Maidana, M., Hoch, P., Brignole, N.B., Ponzoni, I. “mp4so: A Model-Partitioning Software for Simulation and Optimization”, In: Rita Maria de Brito Alves, Claudio Augusto Oller do Nascimento and Evaristo Chalbaud Biscaia Jr. (Eds.): 10th International Symposium on Process Systems Engineering - PSE2009, Salvador de Bahia, Brazil, August 2009. Computer-Aided Chemical Engineering, Vol.27, Part A, pp. 471-476. Elsevier, (2009). [DOI] Lecture Notes in Computer Sciences Gallo, C.A., Dussaut, J.S., Carballido, J.A., Ponzoni, I. “BAT: A new Biclustering Analysis Toolbox”, In: Ferreira, C.E.; Miyano, S.; Stadler, P.F. (Eds.): Advances in Bioinformatics and Computational Biology, 5th Brazilian Symposium on Bioinformatics, BSB 2010, Buzios, Rio de Janiero, Brazil, August 30-September 3, 2010, Proceedings. Lecture Notes in Computer Science, Vol. 6268, pp. 67-71. Springer-Verlag, (2010). [DOI] Gallo, C.A., Carballido, J.A., Ponzoni, I. “BiHEA: A Hybrid Evolutionary Approach for Microarray Biclustering”, In: Guimarães, K.S.; Panchenko, A.; Przytycka, T.M. (Eds.): Advances in Bioinformatics and Computational Biology, 4th Brazilian Symposium on Bioinformatics, BSB 2009, Porto Alegre, Brazil, July 29-31, 2009, Proceedings. Lecture Notes in Computer Science, Vol. 5676, pp. 36–47. Springer-Verlag, (2009). [DOI] Soto, A.J., Ponzoni, I., Vazquez, G.E. “Segregating Confident Predictions of Chemicals' Properties for Virtual Screening of Drugs”, In: Omatu, Sigeru; Rocha, Miguel P.; Bravo, Jose; Fernández, Florentino; Corchado, Emilio; Bustillo, Andres; Corchado, Juan M. (Eds.) Dist. Comp., Art. Int., Bioinformatics, Soft Comp.& Amb. Assisted Liv., IWANN 2009, Vol. 2, Salamanca, Spain, June 10-12. Lecture Notes in Computer Science, Vol. 5518, pp. 1005–1012. Springer-Verlag, (2009). [DOI] Olivera, A.C., Carballido, J.A., Frutos, M., Ponzoni, I., Bringnole, N.B. “Bus Network Scheduling Problem: Memetic Multi-objective Evolutionary Approaches based on the PISA platform”, In: Cabestany, Joan; Sandoval, Francisco; Prieto, Alberto; Corchado, Juan M. (Eds.) Biological Inspired Systems for Intelligent Computing, IWANN 2009, Vol. 1, Salamanca, Spain, June 10-12, Proceedings. Lecture Notes in Computer Science, Vol. 5517, pp. 1272–1279. Springer-Verlag, (2009). [DOI] Gallo, C.A., Carballido, J.A., Ponzoni, I. “Microarray Biclustering: A Novel Memetic Approach based on the PISA Platform”, In: Pizzuti, C.; Ritchie, M.D.; Giacobini, M. (Eds.): Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 7th European Conference, EvoBIO 2009, Tübingen, Germany, April 15-17, Proceedings. Lecture Notes in Computer Science, Vol. 5483, pp. 44–55. Springer-Verlag, (2009). [DOI] Soto, A.J., Cecchini, R.J., Vazquez, G.E., Ponzoni, I. “A Wrapper-based Feature Selection Algorithm for ADMET Prediction using Evolutionary Computing”, In: Marchiori, Elena; Moore, Jason H. (Eds.) Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 6th European Conference, EvoBIO 2008, Naples, Italy, March 26-28, Proceedings. Lecture Notes in Computer Science, Vol. 4973, pp. 188–199. Springer-Verlag , (2008). [DOI] Asteasuain, F., Carballido, J.A., Vazquez, G.E., Ponzoni, I. “Using Computational Intelligence and Parallelism to solve an Industrial Design Problem”. In: Sichman et al. (Eds.): IBERAMIA - SBIA 2006, Riveirao Preto, Brazil, October 23-27, Proceedings. Lecture Notes in Computer Science, Vol. 4140, pp. 188–197. Springer-Verlag, (2006). [DOI] Carballido, J.A., Ponzoni, I, Brignole, N.B., “A Novel Application of Evolutionary Computing in Process Systems Engineering”. In: Raidl, Günther R.; Gottlieb, Jens (Eds.) Evolutionary Computation in Combinatorial Optimization, 5th European Conference, EvoCOP 2005, Lausanne, Switzerland, March 30 - April 1, Proceedings. Lecture Notes in Computer Science, Vol. 3448, pp. 12–22. Springer-Verlag, (2005). [DOI] Safe, M.D., Carballido, J.A., Ponzoni, I, Brignole, N.B., “On Stopping Criteria for Genetic Algorithms”. In: Bazzan, A., Labidi, S. (eds.): Advances in Artificial Intelligence - SBIA 2004, 17th Brazilian Symposium on Artificial Intelligence, Sao Luis, Maranhao, Brazil, September 29 - October 1, Proceedings. Lecture Notes in Computer Science, Vol. 3171, pp. 405–413. Springer-Verlag, (2004). [DOI]
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Ignacio Ponzoni |
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Selected Publications |
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Ignacio Ponzoni |