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Journals

  1. L. Kalra, X. Zhao, A.J. Soto, E. Milios. "Detection of Daily Living Activities Using a Two-Stage Markov Model", Journal of Ambient Intelligence and Smart Environments. In press.
  2. D. Palomba, M.J. Martínez, I. Ponzoni, M.F. Díaz, G.E. Vazquez, A.J. Soto. "QSPR Models for Predicting Log Pliver Values for Volatile Organic Compounds Combining Statistical Methods and Domain Knowledge", Molecules. Vol 17, 12, 14937-14953, 2012. [paper][bibtex]
  3. A.J. Soto, G.E. Vazquez, M. Strickert, I. Ponzoni. "Target-Driven Subspace Mapping Methods and Their Applicability Domain Estimation", Molecular Informatics. Vol 30, 9, 779-789, 2011. [paper][bibtex]
  4. A.J. Soto. "On the Use of Machine Learning Methods for Modern Drug Discovery". PhD thesis summary. AI Communications. Vol 24, 99-100. IOS Press, 2011. [paper][bibtex]
  5. A.J. Soto, R.L. Cecchini, G.E. Vazquez, I. Ponzoni. "Multi-Objective Feature Selection in QSAR using a Machine Learning Approach". QSAR & Combinatorial Science. Vol 28, 11-12, 1509-1523, 2009.[paper][bibtex]
  6. A.J. Soto, R.L. Cecchini, G.E Vazquez, I. Ponzoni. "An Evolutionary Approach for Feature Selection applied to ADMET Prediction". Ibero American Journal of Artificial Intelligence. Vol 12, 37,55-63, 2008.[paper][bibtex]

 

Journal Abstracts

  1. A.J. Soto, M. Strickert, G.E. Vazquez. "Adaptive matrix metrics for molecular descriptor assessment in QSPR classification". Journal of Cheminformatics. Vol 2 (Suppl 1):P47, 2010. [paper][bibtex]

 

Conferences

  1. A. Srivastava, A.J. Soto, E. Milios. "A Graph-based Topic Extraction Method enabling Simple Interactive Customization". 13th ACM Symposium on Document Engineering (DocEng). September 10-13, 2013; Florence, Italy.
  2. A. Srivastava, A.J. Soto, E. Milios. "Text Clustering using One-Mode Projection of Document-Word Bipartite Graphs''. 28th ACM Symposium on Applied Computing. March 18-22, 2013; Coimbra, Portugal.[paper][bibtex]
  3. R. Kiros, A.J. Soto, E. Milios, V. Keselj. "Representation learning for Sparse, High-Dimensional Multi-Label Classification". In: Jing Tao Yao et al (Eds.). Lecture Notes in Computer Science, Springer-Verlag. 8th International Conference on Rough Sets and Current Trends in Computing 2012. August 17-20, 2012. Chengdu, China.[paper][bibtex]
  4. L. Kalra, X. Zhao, A.J. Soto, E. Milios. "A Two-Stage Corrective Markov Model for Activities of Daily Living Detection''. In: P. Novais et al. (Eds.) Advances in Intelligent and Soft Computing. Vol 153/2012, 171-179,  Springer-Verlag. 3rd International Symposium on Ambient Intelligence. March 28-30, 2012; Salamanca, Spain.[paper][bibtex]
  5. A.J. Soto, M. Strickert, G.E. Vazquez, E. Milios. "Subspace Mapping of Noisy Text Documents". In: Cory Butz, Pawan Lingras (Eds.) Lecture Notes in Artificial Intelligence, Vol. 6657, 377-383. Springer-Verlag Berlin Heidelberg. Canadian Conference on Artificial Intelligence 2011. May 25-27, 2011; St. John's, Canada.[paper][bibtex]
  6. A.J. Soto, M. Strickert, G.E. Vazquez, E. Milios. "Adaptive Visualization of Text Documents Incorporating Domain Knowledge". Challenges of Data Visualization. NIPS 2010 Workshop. December 11, 2010; Whistler, Canada.[paper][bibtex]
  7. M. Strickert, A.J. Soto, G.E Vazquez. "Adaptive matrix distances aiming at optimum regression subspaces". European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - ESANN 2010. April 28-30, 2010; Bruges, Belgium.[paper][bibtex]
  8. A.J. Soto, I. Ponzoni, G.E. Vazquez. "Segregating Confident Predictions of Chemicals' Properties for Virtual Screening of Drugs". In: S. Omatu et al. (Eds.) Lecture Notes in Computer Science, Vol. 5518, 1005-1012. Springer-Verlag Berlin Heidelberg. 3rd International Workshop on Practical Applications of Computational Biology and Bioinformatics - IWPACBB 2009. June 10-12, 2009; Salamanca, Spain.[paper][bibtex]
  9. A.J. Soto, R.L. Cecchini, D. Palomba, G.E. Vazquez, I. Ponzoni. "An Evolutionary Approach for Multi-Objective Feature Selection in ADMET Prediction". 34th Latin American Conference on Informatics - CLEI 2008. September 8-12, 2008; Santa Fe, Argentina.[paper][bibtex]
  10. A.J. Soto, R.L. Cecchini, G.E Vazquez, I. Ponzoni. "A Wrapper-based Feature Selection Method for ADMET Prediction using Evolutionary Computing". In: E. Marchiori, J.H. Moore (Eds.) Lecture Notes in Computer Science, Vol. 4973, 188-199. Springer-Verlag Berlin Heidelberg. Sixth European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - EvoBIO 2008. March 26-28, 2008; Napoli, Italy.[paper][bibtex]
  11. A.J. Soto, I. Ponzoni, G.E. Vazquez. "Predicting Physicochemical Properties for Drug Design Using Clustering and Neural Network Learning". Brazilian Symposium on Bioinformatics 2007. August 29-31, 2007; Angra dos Reis, Brazil.[paper][bibtex]
  12. R.L. Cecchini, A.J. Soto, G.E. Vazquez, I. Ponzoni. "A Genetic Algorithm for Detection of Relevant Descriptors in ADMET Prediction". Brazilian Symposium on Bioinformatics 2007.August 29-31, 2007; Angra dos Reis, Brazil.[paper][bibtex]

 

Local Journals

  1. G.G. Vignolo, J.A. Vázquez, A.J. Soto. "Thermal Compensation System for Stress Measuring on Structural Elements". Ibero American Journal of Mechanical Engineering. In press.
  2. I. Ponzoni, A.J. Soto, G.E. Vazquez. "Activity Cycle Diagrams and its Application on Discrete Event Simulations". Investigación Operativa. Vol 29, 145-160, 2008.

 

Local Conferences / Short Papers

  1. D. Palomba, M.J. Martinez, I. Ponzoni, M. Díaz, G.E. Vazquez, A.J. Soto. "Prediction of blood to liver coefficients for volatile organic compounds: a cheminformatics approach''. 3rd Argentine Congress on Bioinformatics and Computational Biology - CABBC 2012. September 26-28, 2012; Oro Verde, Argentina.
  2. A.J. Soto, G.E. Vazquez, M. Strickert, I. Ponzoni. "Confidence Assessment of Candidate Drug Property Predictions by Subspace Mapping Methods''. ISCB Latin America. March 17-21, 2012; Santiago, Chile.
  3. A.J. Soto, I. Ponzoni, G.E. Vazquez. "Identifying the Applicability Domain of QSPR Models using Machine Learning Methods". 1st International Conference on Bioinformatics (SoIBio), pp 48. September 26-28, 2010; Chillán, Chile.
  4. A.J. Soto, M. Strickert, G.E. Vazquez. "A mapping method for linking chemical compounds to biological and physicochemical properties in drug discovery". ISCB Latin America. March 13-16, 2010; Montevideo, Uruguay.
  5. A.J. Soto, R.L Cecchini, G.E. Vazquez, I. Ponzoni. "A new method for multi-objective selection of molecular descriptors for QSAR/QSPR". ISCB Latin America. March 13-16, 2010; Montevideo, Uruguay.
  6. A.J. Soto, J. Martinez, R.L. Cecchini, G.E. Vazquez, Ignacio Ponzoni. "A Prototype Software Tool for Selection of Relevant Descriptors in QSAR Models". 1st Argentine Congress on Bioinformatics and Computational Biology - CABBC 2010. May 12-14, 2010; Quilmes, Argentina.
  7. A.J. Soto, I. Ponzoni, G.E. Vazquez. "On defining applicability domains for prediction models in chemoinformatics". 1st Argentine Congress on Bioinformatics and Computational Biology - CABBC 2010. May 12-14, 2010; Quilmes, Argentina.
  8. A.J. Soto, M. Strickert, G.E. Vazquez. "Adaptive matrix metrics for molecular descriptor assessment in QSPR classi cation". 5th German Conference on Chemoinformatics. November 8-10, 2009; Goslar, Germany.1
  9. M. Strickert, A.J. Soto, J. Keilwagen, G.E. Vazquez. "Towards matrix-based selection of feature pairs for efficient ADMET prediction". 10th Argentine Symposium on Artificial Intelligence - ASAI 2009, August 24-25, 2009; Mar del Plata, Argentina.
  10. A.J. Soto, D. Palomba, M. Diaz, G.E. Vazquez, I. Ponzoni. "Computational Intelligence Methods on Chemical Compound Clusters". XVII Congress on Numerical Methods and their Applications - ENIEF 2008. November 10-13, 2008; San Luis, Argentina.
  11. A.J. Soto, R.L. Cecchini, I. Ponzoni, G.E. Vazquez. "Computational Intelligence Methods for Physicochemical Property Prediction". 9th Latin American Conference on Physical Organic Chemistry. September 30 - October 5, 2007; Los Cocos, Argentina.
  12. A.J. Soto, R.L. Cecchini, G.E. Vazquez, I. Ponzoni. "Feature Selection for ADMET Prediction using Genetic Algorithms". 9th Argentine Symposium on Artificial Intelligence - ASAI 2007. August 27-28, 2007; Mar del Plata, Argentina.2
  13. A.J Soto, I. Ponzoni, G.E. Vazquez. "Numerical Analysis of Different Similarity Criteria on Clustering Algorithms". XV Congress on Numerical Methods and their Applications - ENIEF 2006. November 7-10, 2006; Santa Fe, Argentina.
  14. A.J Soto, I. Ponzoni, G.E Vazquez. "Parallel Distributed Solving of Linear Equations using a Graph Decomposition Technique". VIII Congress on Computational Mechanics - MECOM 2005. November 16-18, 2005; Buenos Aires, Argentina.
  15. A.J. Soto, I. Ponzoni, G.E. Vazquez. "A Novel Parallel Distributed Algorithm for System of Linear Equations Solving". XIV Congress on Numerical Methods and their Applications - ENIEF 2004. November 8-11, 2004; Bariloche, Argentina

1 Article selected for a Journal Abstract
2 Article selected for a Journal Article.
 
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