Journal of Chemical Information & Computer Sciences
Solving the multiple instance problem with axis-parallel rectangles
Artificial Intelligence
Bottom-Up Induction of Feature Terms
Machine Learning
Relational Instance-Based Learning with Lists and Terms
Machine Learning
Similarity Measures for Structured Representations
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
On the Importance of Similitude: An Entropy-Based Assessment
EWCBR '96 Proceedings of the Third European Workshop on Advances in Case-Based Reasoning
Structured Cases, Trees and Efficient Retrieval
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
Similarity Measures for Object-Oriented Case Representations
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
Cases as terms: A feature term approach to the structured representation of cases
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
Applying the Subdue Substructure Discovery System to the Chemical Toxicity Domain
Proceedings of the Twelfth International Florida Artificial Intelligence Research Society Conference
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Structural Similarity as Guidance in Case-Based Design
EWCBR '93 Selected papers from the First European Workshop on Topics in Case-Based Reasoning
samap: An user-oriented adaptive system for planning tourist visits
Expert Systems with Applications: An International Journal
Discovering Plausible Explanations of Carcinogenecity in Chemical Compounds
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
Usages of Generalization in Case-Based Reasoning
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Using explanations for determining carcinogenecity in chemical compounds
Engineering Applications of Artificial Intelligence
On Similarity Measures Based on a Refinement Lattice
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
eXiT*CBR: A framework for case-based medical diagnosis development and experimentation
Artificial Intelligence in Medicine
Cooperative reuse for compositional cases in multi-agent systems
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
CBR for modeling complex systems
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
An ontological approach to represent molecular structure information
ISBMDA'05 Proceedings of the 6th International conference on Biological and Medical Data Analysis
Measuring similarity in description logics using refinement operators
ICCBR'11 Proceedings of the 19th international conference on Case-Based Reasoning Research and Development
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Lazy learning methods are based on retrieving a set of precedent cases similar to a new case. An important issue of these methods is how to estimate the similarity among a new case and the precedents. Usually, similarity measures require that cases have a prepositional representation. In this paper we present Shaud, a similarity measure useful to estimate the similarity among relational cases represented using featureterms. We also present results of the application of Shaud forsolving classification tasks. Specifically we used Shaud for assessingthe carcinogenic activity of chemical compounds in the Toxicology dataset.