Elena P. Sapozhnikova

Publication Activity (10 Years)

Years Active: 1999-2020
Publications (10 Years): 5

Top Topics

Discovered Knowledge

Interestingness Measures

Top Venues

Publications

Andrew Hynes, Elena P. Sapozhnikova, Ivana Dusparic
Optimising PID Control with Residual Policy Reinforcement Learning. AICS (2020)
Fernando Benites, Elena P. Sapozhnikova
Improving scalability of ART neural networks. Neurocomputing 230 (2017)
Fernando Benites, Elena P. Sapozhnikova
Hierarchical interestingness measures for association rules with generalization on both antecedent and consequent sides. Pattern Recognit. Lett. 65 (2015)
Fernando Benites, Elena P. Sapozhnikova
Improving Multi-Label Classification by Means of Cross-Ontology Association Rules. LWA (2015)
Fernando Benites, Elena P. Sapozhnikova
HARAM: A Hierarchical ARAM Neural Network for Large-Scale Text Classification. ICDM Workshops (2015)
Fernando Benites, Elena P. Sapozhnikova
Using Semantic Data Mining for Classification Improvement and Knowledge Extraction. LWA (2014)
Fernando Benites, Elena P. Sapozhnikova
Evaluation of Hierarchical Interestingness Measures for Mining Pairwise Generalized Association Rules. IEEE Trans. Knowl. Data Eng. 26 (12) (2014)
Fernando Benites, Elena P. Sapozhnikova
Generalized Association Rules for Connecting Biological Ontologies. BIOINFORMATICS (2013)
Florian Brucker, Fernando Benites, Elena P. Sapozhnikova
Multi-label classification and extracting predicted class hierarchies. Pattern Recognit. 44 (3) (2011)
Florian Brucker, Fernando Benites, Elena P. Sapozhnikova
An Empirical Comparison of Flat and Hierarchical Performance Measures for Multi-Label Classification with Hierarchy Extraction. KES (1) (2011)
Fernando Benites, Florian Brucker, Elena P. Sapozhnikova
Multi-label classification by ART-based neural networks and hierarchy extraction. IJCNN (2010)
Elena P. Sapozhnikova
ART-Based Neural Networks for Multi-label Classification. IDA (2009)
Elena P. Sapozhnikova
Multi-label Classification with ART Neural Networks. WKDD (2009)
Elena P. Sapozhnikova, Wolfgang Rosenstiel
AFC: ART-Based Fuzzy Classifier. KES (2003)
Elena P. Sapozhnikova, V. P. Lunin
A Modified Search Procedure for the Art Neural Networks. IJCNN (5) (2000)
L. Ludwig, Elena P. Sapozhnikova, V. P. Lunin, Wolfgang Rosenstiel
Error Classification and Yield Prediction of Chips in Semiconductor Industry Applications. Neural Comput. Appl. 9 (3) (2000)
Elena P. Sapozhnikova, V. P. Lunin, L. Ludwig, Wolfgang Rosenstiel
The use of dARTMAP and fuzzy ARTMAP to solve the quality testing task in semiconductor industry. KES (1999)