Journal of Chemical Information & Computer Sciences
BoltzCONS: dynamic symbol structures in a connectionist network
Artificial Intelligence - On connectionist symbol processing
Mapping part-whole hierarchies into connectionist networks
Artificial Intelligence - On connectionist symbol processing
Recursive distributed representations
Artificial Intelligence - On connectionist symbol processing
Artificial Intelligence - On connectionist symbol processing
The cascade-correlation learning architecture
Advances in neural information processing systems 2
Computational chemical graph theory
Computational chemical graph theory
Neural Networks for Chemists; An Introduction
Neural Networks for Chemists; An Introduction
Extended Cascade-Correlation for Syntactic and Structural Pattern Recognition
SSPR '96 Proceedings of the 6th International Workshop on Advances in Structural and Syntactical Pattern Recognition
Supervised neural networks for the classification of structures
IEEE Transactions on Neural Networks
A general framework for adaptive processing of data structures
IEEE Transactions on Neural Networks
Holographic reduced representations
IEEE Transactions on Neural Networks
Neural Networks for Adaptive Processing of Structured Data
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
Recursive self-organizing network models
Neural Networks - 2004 Special issue: New developments in self-organizing systems
Universal Approximation Capability of Cascade Correlation for Structures
Neural Computation
2005 Special Issue: Learning protein secondary structure from sequential and relational data
Neural Networks - Special issue on neural networks and kernel methods for structured domains
Theoretical Computer Science
Probabilistic based recursive model for adaptive processing of data structures
Expert Systems with Applications: An International Journal
Modeling adaptive kernels from probabilistic phylogenetic trees
Artificial Intelligence in Medicine
Recursive Neural Networks for Undirected Graphs for Learning Molecular Endpoints
PRIB '09 Proceedings of the 4th IAPR International Conference on Pattern Recognition in Bioinformatics
Kernels on prolog ground terms
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Neural network for graphs: a contextual constructive approach
IEEE Transactions on Neural Networks
Proceedings of the 2009 conference on Computational Intelligence and Bioengineering: Essays in Memory of Antonina Starita
Proceedings of the 2009 conference on Computational Intelligence and Bioengineering: Essays in Memory of Antonina Starita
Learning with kernels and logical representations
Probabilistic inductive logic programming
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
A new neural network model for contextual processing of graphs
WIRN'05 Proceedings of the 16th Italian conference on Neural Nets
Neurocomputing
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We present the application of Cascade Correlation forstructures to QSPR (quantitative structure-property relationships)and QSAR (quantitative structure-activity relationships) analysis.Cascade Correlation for structures is a neural network model recentlyproposed for the processing of structured data. This allows thedirect treatment of chemical compounds as labeled trees, whichconstitutes a novel approach to QSPR/QSAR. We report theresults obtained for QSPR on Alkanes (predicting the boiling point)and QSAR of a class of Benzodiazepines. Our approach comparesfavorably versus the traditional QSAR treatment based on equationsand it is competitive with ‘ad hoc’ MLPs for the QSPRproblem.