501 results on '"Tettamanzi, A. G. B."'
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2. Predicting the Score of Atomic Candidate OWL Class Axioms
3. An Algorithm Based on Grammatical Evolution for Discovering SHACL Constraints
4. A Framework to Include and Exploit Probabilistic Information in SHACL Validation Reports
5. Learning to Classify Logical Formulas Based on Their Semantic Similarity
6. A Framework to Include and Exploit Probabilistic Information in SHACL Validation Reports
7. Learning to Classify Logical Formulas Based on Their Semantic Similarity
8. Measuring Clusters of Labels in an Embedding Space to Refine Relations in Ontology Alignment
9. Possibilistic Estimation of Distributions to Leverage Sparse Data in Machine Learning
10. Task-Oriented Uncertainty Evaluation for Linked Data Based on Graph Interlinks
11. Using Grammar-Based Genetic Programming for Mining Disjointness Axioms Involving Complex Class Expressions
12. Classifying Candidate Axioms via Dimensionality Reduction Techniques
13. Challenges in Bridging Social Semantics and Formal Semantics on the Web
14. An Ontology Alignment Approach Combining Word Embedding and the Radius Measure
15. Publishing Uncertainty on the Semantic Web: Blurring the LOD Bubbles
16. Learning Class Disjointness Axioms Using Grammatical Evolution
17. Comparing Rule Evaluation Metrics for the Evolutionary Discovery of Multi-relational Association Rules in the Semantic Web
18. Predicting the Possibilistic Score of OWL Axioms Through Support Vector Regression
19. Handling Topical Metadata Regarding the Validity and Completeness of Multiple-Source Information: A Possibilistic Approach
20. Predicting the Acceptability of Atomic Candidate OWL Class Axioms
21. Classifying Candidate Axioms via Dimensionality Reduction Techniques
22. Possibilistic Estimation of Distributions to Leverage Sparse Data in Machine Learning
23. Using Grammar-Based Genetic Programming for Mining Disjointness Axioms Involving Complex Class Expressions
24. Fuzzy Labeling for Abstract Argumentation: An Empirical Evaluation
25. A Belief-Based Approach to Measuring Message Acceptability
26. Evolutionary Discovery of Multi-relational Association Rules from Ontological Knowledge Bases
27. Electrocardiographic Signal Classification with Evolutionary Artificial Neural Networks
28. A Neuro-evolutionary Approach to Intraday Financial Modeling
29. Using Evolutionary Neural Networks to Test the Influence of the Choice of Numeraire on Financial Time Series Modeling
30. Publishing Uncertainty on the Semantic Web: Blurring the LOD Bubbles
31. Possibilistic Planning Using Description Logics: A First Step
32. Reasoning and Quantification in Fuzzy Description Logics
33. A Fuzzy System for Concept-Level Sentiment Analysis
34. Testing OWL Axioms against RDF Facts: A Possibilistic Approach
35. The BioKET Biodiversity Data Warehouse: Data and Knowledge Integration and Extraction
36. A Neuro-Evolutionary Approach to Electrocardiographic Signal Classification
37. An Evolutionary Approach to Automatic Generation of VHDL Code for Low-Power Digital Filters
38. Quality Assessment in Linguistic Summaries of Data
39. A Comparison between Nature-Inspired and Machine Learning Approaches to Detecting Trend Reversals in Financial Time Series
40. A Part-Of-Speech Lexicographic Encoding for an Evolutionary Word Sense Disambiguation Approach
41. Modeling Turning Points in Financial Markets with Soft Computing Techniques
42. Fuzzy–Evolutionary Modeling of Customer Behavior for Business Intelligence
43. A Novel Similarity-Based Crossover for Artificial Neural Network Evolution
44. A Possibilistic Approach to Goal Generation in Cognitive Agents
45. An Ontological Representation of Documents and Queries for Information Retrieval Systems
46. A Study of Nature-Inspired Methods for Financial Trend Reversal Detection
47. Goal Generation from Possibilistic Beliefs Based on Trust and Distrust
48. A Lexicographic Encoding for Word Sense Disambiguation with Evolutionary Neural Networks
49. Predicting Turning Points in Financial Markets with Fuzzy-Evolutionary and Neuro-Evolutionary Modeling
50. Soft Computing Techniques for Internet Backbone Traffic Anomaly Detection
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