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Emilio Benfenati: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Ciprian-Daniel Neagu, Emilio Benfenati, Giuseppina C. Gini, Paolo Mazzatorta, Alessandra Roncaglioni
    Neuro-Fuzzy Knowledge Representation for Toxicity Prediction of Organic Compounds. [Citation Graph (0, 0)][DBLP]
    ECAI, 2002, pp:498-502 [Conf]
  2. Sulev Sild, Uko Maran, Mathilde Romberg, Bernd Schuller, Emilio Benfenati
    OpenMolGRID: Using Automated Workflows in GRID Computing Environment. [Citation Graph (0, 0)][DBLP]
    EGC, 2005, pp:464-473 [Conf]
  3. Damian McCourt, Jesús A. López, Emilio Benfenati, Paolo Mazzatorta, Mathilde Romberg, Bernd Schuller, Werner Dubitzky
    Towards and Intelligent Data Type for Toxicity. [Citation Graph (0, 0)][DBLP]
    IC-AI, 2003, pp:328-334 [Conf]
  4. Giuseppina C. Gini, Emilio Benfenati, Paola Grasso, Marco Lorenzini
    Predictive Toxicology Results Integrating Different AI Paradigms: The Carcinogenicity Case. [Citation Graph (0, 0)][DBLP]
    IIA/SOCO, 1999, pp:- [Conf]
  5. Emilio Benfenati
    Modelling Aquatic Toxicity with Advanced Computational Techniques: Procedures to Standardize Data and Compare Models. [Citation Graph (0, 0)][DBLP]
    KELSI, 2004, pp:235-248 [Conf]
  6. Frank Lemke, Johann-Adolf Müller, Emilio Benfenati
    Modelling and Prediction of Toxicity of Environmental Pollutants. [Citation Graph (0, 0)][DBLP]
    KELSI, 2004, pp:221-234 [Conf]
  7. Giuseppina C. Gini, Marco Lorenzini, Emilio Benfenati, Raffaella Brambilla, Luca Malvé
    Mixing a Symbolic and a Subsymbolic Expert to Improve Carcinogenicity Prediction of Aromatic Compounds. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2001, pp:126-135 [Conf]
  8. Emilio Benfenati, Paolo Mazzatorta, Daniel Neagu, Giuseppina C. Gini
    Combining Classifiers of Pesticides Toxicity through a Neuro-fuzzy Approach. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2002, pp:293-303 [Conf]
  9. Paolo Mazzatorta, Emilio Benfenati, Bernd Schuller, Mathilde Romberg, Damian McCourt, Werner Dubitzky, Sulev Sild, Mati Karelson, Ákos Papp, István Bágyi, Ferenc Darvas
    OpenMolGRIND: Molecular Science and Engineering in a Grid Context. [Citation Graph (0, 0)][DBLP]
    PDPTA, 2004, pp:775-779 [Conf]
  10. Giuseppina C. Gini, Emilio Benfenati
    Results from a Data Mining Approach to Predictive Toxicology. The Case of Pesticides Data. [Citation Graph (0, 0)][DBLP]
    PRIS, 2002, pp:114-123 [Conf]
  11. Uko Maran, Sulev Sild, Paolo Mazzatorta, Mos Casalegno, Emilio Benfenati, Mathilde Romberg
    Grid Computing for the Estimation of Toxicity: Acute Toxicity on Fathead Minnow (Pimephales promelas). [Citation Graph (0, 0)][DBLP]
    GCCB, 2006, pp:60-74 [Conf]
  12. Andrey A. Toropov, Emilio Benfenati
    SMILES as an alternative to the graph in QSAR modelling of bee toxicity. [Citation Graph (0, 0)][DBLP]
    Computational Biology and Chemistry, 2007, v:31, n:1, pp:57-60 [Journal]
  13. Christoph König, Giuseppina C. Gini, Marian Viorel Craciun, Emilio Benfenati
    Multiclass Classifier From A Combination Of Local Experts: Toward Distributed Computation For Real-Problem Classifiers. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 2004, v:18, n:5, pp:801-817 [Journal]
  14. Paolo Mazzatorta, Marjan Vracko, Emilio Benfenati
    ANVAS: Artificial Neural Variables Adaptation System for descriptor selection. [Citation Graph (0, 0)][DBLP]
    Journal of Computer-Aided Molecular Design, 2003, v:17, n:5-6, pp:335-346 [Journal]
  15. Filip Fratev, Emilio Benfenati
    3D-QSAR and Molecular Mechanics Study for the Differences in the Azole Activity against Yeastlike and Filamentous Fungi and Their Relation to P450DM Inhibition. 1. 3-Substituted-4(3H)-quinazolinones. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Modeling, 2005, v:45, n:3, pp:634-644 [Journal]
  16. Giuseppina C. Gini, Marian Viorel Craciun, Christoph König, Emilio Benfenati
    Combining Unsupervised and Supervised Artificial Neural Networks to PredictAquatic Toxicity. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Modeling, 2004, v:44, n:6, pp:1897-1902 [Journal]
  17. Giuseppina C. Gini, Marco Lorenzini, Emilio Benfenati, Paola Grasso, Maurizio Bruschi
    Predictive Carcinogenicity: A Model for Aromatic Compounds, with Nitrogen-Containing Substituents, Based on Molecular Descriptors Using an Artificial Neural Network. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Computer Sciences, 1999, v:39, n:6, pp:1076-1080 [Journal]
  18. Alan R. Katritzky, Ruslan Petrukhin, Douglas B. Tatham, Subhash C. Basak, Emilio Benfenati, Mati Karelson, Uko Maran
    Interpretation of Quantitative Structure-Property and -Activity Relationships. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Computer Sciences, 2001, v:41, n:3, pp:679-685 [Journal]
  19. Paolo Mazzatorta, Emilio Benfenati, Paola Lorenzini, Marco Vighi
    QSAR in Ecotoxicity: An Overview of Modern Classification Techniques. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Modeling, 2004, v:44, n:1, pp:105-112 [Journal]
  20. Paolo Mazzatorta, Emilio Benfenati, Daniel Neagu, Giuseppina C. Gini
    The Importance of Scaling in Data Mining for Toxicity Prediction. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Computer Sciences, 2002, v:42, n:5, pp:1250-1255 [Journal]
  21. Paolo Mazzatorta, Emilio Benfenati, Ciprian-Daniel Neagu, Giuseppina C. Gini
    Tuning Neural and Fuzzy-Neural Networks for Toxicity Modeling. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Computer Sciences, 2003, v:43, n:2, pp:513-518 [Journal]
  22. Paolo Mazzatorta, Martin Smiesko, Elena Lo Piparo, Emilio Benfenati
    QSAR Model for Predicting Pesticide Aquatic Toxicity. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Modeling, 2005, v:45, n:6, pp:1767-1774 [Journal]
  23. Paolo Mazzatorta, Marjan Vracko, Aneta Jezierska, Emilio Benfenati
    Modeling Toxicity by Using Supervised Kohonen Neural Networks. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Computer Sciences, 2003, v:43, n:2, pp:485-492 [Journal]
  24. Tatiana I. Netzeva, Aynur O. Aptula, Emilio Benfenati, Mark T. D. Cronin, Giuseppina C. Gini, Iglika Lessigiarska, Uko Maran, Marjan Vracko, Gerrit Schüürmann
    Description of the Electronic Structure of Organic Chemicals Using Semiempirical and Ab Initio Methods for Development of Toxicological QSARs. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Modeling, 2005, v:45, n:1, pp:106-114 [Journal]
  25. Alessandra Roncaglioni, Marjana Novic, Marjan Vracko, Emilio Benfenati
    Classification of Potential Endocrine Disrupters on the Basis of Molecular Structure Using a Nonlinear Modeling Method. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Modeling, 2004, v:44, n:2, pp:300-309 [Journal]
  26. Martin Smiesko, Emilio Benfenati
    Predictive Models for Aquatic Toxicity of Aldehydes Designed for Various Model Chemistries. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Modeling, 2004, v:44, n:3, pp:976-984 [Journal]
  27. Martin Smiesko, Emilio Benfenati
    Thermodynamic Descriptors Derived from Density Functional Theory Calculations in Prediction of Aquatic Toxicity. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Modeling, 2005, v:45, n:2, pp:379-385 [Journal]
  28. Frank Lemke, Emilio Benfenati, Johann-Adolf Müller
    Data-driven modeling and prediction of acute toxicity of pesticide residues. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2006, v:8, n:1, pp:71-79 [Journal]

  29. Clustering and classification techniques to assess aquatic toxicity. [Citation Graph (, )][DBLP]


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